Official websites use .gov
A
.gov website belongs to an official government
organization in the United States.
Secure .gov websites use HTTPS
A
lock (
) or https:// means you’ve safely connected to
the .gov website. Share sensitive information only on official,
secure websites.
Report generated on 02/04/2025 13:54:02
cdaweb was referenced in 20 papers
spdf was referenced in 16 papers
space physics data facility was referenced in 11 papers
omni was referenced in 39 papers
omni2 was referenced in 1 papers
omni-2 was referenced in 1 papers
omniweb was referenced in 73 papers
sscweb was referenced in 2 papers
iri was referenced in 43 papers
international reference ionosphere was referenced in 29 papers
vitmo was referenced in 1 papers
121 of 831 possible papers ( 15% ) contained references to SPDF keywords
Authors=Korotova, G. I.; Sibeck, D. G.
Title=Multipoint observations of compressional Pc5-6 pulsations in the dawn side magnetosphere: A case study, 2024, doi:10.1016/j.asr.2023.10.018, ID=26597484
journal=Advances in Space Research
Keywords found:cdaweb, omni, omniweb, sscweb
Sample usage ( ACK ) =Acknowledgements NASA GSFCs CDAWEB and SSCWEB provided Wind, ACE. THEMIS and ground-based observations and ephemeris, respectively.
Sample usage ( BODY ) =The THEMIS, Wind, ACE, Cluster, Geotail, GOES and ground magnetometer data are provided by NASA GSFCs CDAWeb (Coordinated Data Analysis Web) at https://cdaweb.gsfc.nasa.gov/istp_public/ .
Sample usage ( BODY ) =We use the ACE magnetic field data with 1s time resolution ( Smith et al., 1998 ) and one minute OMNI solar wind and IMF parameters that have been shifted to the Earths bow shock nose. Geomagnetic indices Kp, AE and Dst are available from the OMNI database. We use Geotail, particle and plasma moments with 12s resolution measured by the low energy particle (LEP) instrument ( Mukai et al., 1994 ) and magnetic field vectors with 12s resolution measured by the magnetic field experiment ( Kokubun et al., 1994 ).
Sample usage ( BODY ) =The OMNI data are provided at https://omniweb.gsfc.nasa.gov . 3 Observations We present a case study of compressional localized Pc5-6 pulsations observed by THD and THE in the dawn sector on January 22, 2010.
Authors=Kozlov, Daniil A.; Leonovich, Anatoly S.; Vlasov, Alexander A.
Title=Determining the radial structure of high-m Alfven wave by means of the “phase portrait” method, 2024, doi:10.1016/j.asr.2023.08.009, ID=26597500
journal=Advances in Space Research
Keywords found:spdf, space physics data facility
Sample usage ( ACK ) =The Van Allen mission data used in this paper (RBSP-A EMFISIS Fluxgate Magnetometer data) can be achieved online from NASAs Space Physics Data Facility at http://spdf.gsfc.nasa.gov . The Kp index data can be achieved online from The International Service of Geomagnetic Indices (ISGI) at http://isgi.unistra.fr/ .
Authors=Oyeyemi, E. O.; Nava, B.
Title=Validation of a neural network based model to predict foF2, 2024, doi:10.1016/j.asr.2023.08.052, ID=26597506
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =The IRI and NeQuick models are developed as climatological global models to reproduce the typical median variations of the ionosphere.
Sample usage ( ABSTRACT ) =For comparison purposes, the same kind of statistical analysis was performed with foF2 values as obtained from the International Reference Ionosphere (IRI) model and from NeQuick 2 model. Results of the statistical comparison confirmed that the neural network modelling approach is suitable to describe in a climatological way the main characteristics of the ionosphere F2 layer peak frequency, also over the extended geographic region where the additional sensor stations were located.
Sample usage ( BODY ) =Among these empirical models the International Reference Ionosphere (IRI) model (Bilitza et al., 2016; Bilitza et al., 2017 ) and NeQuick model (Hockegger et al., 2000; Nava et al., 2008 ) are the most widely used.
Authors=Jiang, Zixin; Zhang, Zhetao; He, Xiufeng; Li, Yuan; Yuan, Haijun
Title=Efficient and accurate TEC modeling and prediction approach with random forest and Bi-LSTM for large-scale region, 2024, doi:10.1016/j.asr.2023.09.003, ID=26597512
journal=Advances in Space Research
Keywords found:spdf, space physics data facility, omni, omniweb, iri
Sample usage ( ACK ) =OMNI data are obtained from the NASA Space Physics Data Facility (SPDF) web page (https://omniweb.gsfc.nasa.gov/).
Sample usage ( BODY ) =The study utilizes 12 input features extracted from NASAs OMNI (Operating Missions as a Node on the Internet) Space Physics Data Facility (SPDF) to capture various parameters related to ionospheric behavior.
Sample usage ( ACK ) =The IGS data and TEC GIM of CODE are obtained from the Crustal Dynamics Data Information System (CDDIS) web page (https://cddis.nasa.gov/). OMNI data are obtained from the NASA Space Physics Data Facility (SPDF) web page (https://omniweb.gsfc.nasa.gov/).
Sample usage ( BODY ) =Fig. 6 demonstrates the absolute differences between CODE TEC and TEC obtained from spherical harmonics (top) and the IRI-2016 model (bottom) at 06:00 UTC during the quiet period DOY 015 (left) and active period DOY 356 (right) in 2021, respectively. It can be observed from the figure that the absolute differences of IRI-CODE, which sometimes even exceed 10 TECU. Meanwhile, its overall deviation is greater than that of SH-CODE.
Authors=Marew, Habtamu; Agmas, Abebech; Mersha, Tsedal
Title=Performance evaluation for vertical TEC predictions over the East Africa and South America: IRI-2016 and IRI-2020 versions, 2024, doi:10.1016/j.asr.2023.09.055, ID=26597543
journal=Advances in Space Research
Keywords found:space physics data facility, omniweb, iri, international reference ionosphere
Sample usage ( BODY ) =Kp-index data are obtained from NASA’s Space Physics Data Facility via https://omniweb.gsfc.nasa.gov/ . The British Geological Survey ( https://www.geomag.bgs.ac.uk/ ) geomagnetic coordinate calculator has been used to obtain the corresponding geomagnetic coordinates of the GNSS/GPS stations. 2.2 Methods of analysis Evaluations of the capacity of the IRI models have been done for both quiet and disturbed (storm-time) geomagnetic conditions.
Sample usage ( ACK ) =The authors are also very grateful to UNAVCO (for vertical TEC data) and NASA (for OMNIweb calculated Kp-index and IRI-2020 and IRI-2016 instant run access) and the British Geological Survey (BGS) for providing coordinate conversion web-based tools.
Sample usage ( BODY ) =However, there are no validation works yet (to this point in time) for the latest IRI-2020 model. This article focuses on the validation of the latest versions of the IRI model (IRI-2016 and IRI-2020), which are available on NASAs Community Coordinated Modeling Center (CCMC) website.
Sample usage ( ABSTRACT ) =We compared the vertical TEC derived from IRI-2020 and its predecessor, IRI-2016, with the GPS-TEC measurements. Results show that IRI (both versions) agrees with observed TEC during solar cycle maximum periods.
Sample usage ( TITLE ) =Performance evaluation for vertical TEC predictions over the East Africa and South America: IRI-2016 and IRI-2020 versions
Sample usage ( ABSTRACT ) =In this paper, we evaluate and report the International Reference Ionosphere (IRI) model’s vertical Total Electron Content (TEC) regional profile.
Authors=Alemu, Zerihun; Kassa, Tsegaye
Title=Response of the ionosphere to equatorial electrojet at latitudes near the northern EIA crest in the East African longitudinal sector, 2024, doi:10.1016/j.asr.2023.09.056, ID=26597550
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =It is also our pleasure to thank the OMNIWeb Plus database ( https://omniweb.gsfc.nasa.gov/ ) and the data center of GUVI instrument on board the TIMED satellite ( http://guvi.jhuapl.edu/ ).
Sample usage ( BODY ) =Similarly, the solar flux index ( F 10.7 ) data, available at the OMNIWeb Plus database ( https://omniweb.gsfc.nasa.gov /) have been used to observe the effects of solar radiation on both EEJ and vTEC.
Authors=Basak, Tamal; Hobara, Yasuhide; Pal, Sujay; Nakamura, Toru; Izutsu, Jun; Minatohara, Tetsuya
Title=Modeling of Solar Eclipse effects on the sub-ionospheric VLF/LF signals observed by multiple stations over Japan, 2024, doi:10.1016/j.asr.2023.09.063, ID=26597556
journal=Advances in Space Research
Keywords found:iri
Sample usage ( BODY ) =Now, the value of N e , 0 is consistent with typical IRI-model computed values. So, according to our model, percentage reduction of N e , ecl during ASE-2012 depends on D-region height and other similar works in the literature support it. 5 Summary and conclusion In this work, we have modeled the effects of the annular solar eclipse of May 20th 2012 (ASE-2012) on VLF/LF sub-ionospheric signals.
Authors=Bag, Tikemani; Barman, Rahul; Das, Sukanya A.; Sivakumar, V.; Singh, Vir
Title=Nitric oxide cooling emission during geomagnetic storm: Case studies, 2024, doi:10.1016/j.asr.2023.09.064, ID=26597563
journal=Advances in Space Research
Keywords found:spdf, space physics data facility, omniweb
Sample usage ( BODY ) =The solar wind, interplanetary and the geomagnetic data are obtained from the World data center (WDC) for Geomagnetism, Kyoto, Japan ( https://wdc.kugi.kyoto-u.ac.jp/wdc/Sec3.html ) and NASAs Space Physics Data Facility (SPDF) OMNIWeb database ( https://omniweb.gsfc.nasa.gov ).
Sample usage ( ACK ) =The geomagnetic and IMF data are obtained respectively from the websites of OMNIWeb ( https://omniweb.gsfc.nasa.gov ) and World Data Center for Geomagnetism, Kyoto, Japan ( https://wdc.kugi.kyoto-u.ac.jp/wdc/Sec3.html ).
Authors=Zhang, Z.; Liu, W. L.; Zhang, D. J.; Cao, J. B.
Title=Estimating the corotation lag of the plasmasphere based on the electric field measurements of the Van Allen Probes, 2024, doi:10.1016/j.asr.2023.10.022, ID=26597568
journal=Advances in Space Research
Keywords found:cdaweb, omni, omniweb
Sample usage ( BODY ) =The L3 spin-fit data produced by EFW are processed and available through CDAWeb ( https://cdaweb.gsfc.nasa.gov/index.html/ ). The measurements of the spin-fit electric field are provided in the modified GSE coordinate system and are transferred to GSM coordinates in this study.
Sample usage ( ACK ) =We thank the EFW ( http://www.space.umn.edu/rbspefw-data/ ) and EMFISIS ( http://emfisis.physics.uiowa.edu/data/index ) teams of the Van Allen Probes mission and OMNI database ( http://omniweb.gsfc.nasa.gov ) for making data available.
Authors=Sousasantos, J.; Moraes, A. O.; Di Santis, V.; Vani, B. C.
Title=Temporal characterization of pre-midnight fading events over low latitudes, 2024, doi:10.1016/j.asr.2023.10.034, ID=26597584
journal=Advances in Space Research
Keywords found:spdf, space physics data facility, omni, omniweb
Sample usage ( ACK ) =The OMNI data were obtained from the GSFC/SPDF OMNIWeb interface at https://omniweb.gsfc.nasa.gov.
Sample usage ( BODY ) =The authors acknowledge the NASA Space Physics Data Facility staff. The OMNI data were obtained from the GSFC/SPDF OMNIWeb interface at https://omniweb.gsfc.nasa.gov.
Authors=Otsubo, Toshimichi; Kobayashi, Mihoko; Yokota, Yusuke; Kouno, Kenji; Araki, Hiroshi
Title=Acoustic positioning of closely-flying aircraft for eye safety of space laser applications, 2024, doi:10.1016/j.asr.2023.09.067, ID=26597627
journal=Advances in Space Research
Keywords found:omni
Sample usage ( BODY ) =The sensitivity, the precision and the realtime realization will be discussed. 2 System configuration and algorithm This development is a part of the Omni-SLR project that aims at a low-cost, small-size, multi-purpose SLR system that includes a non-eye-safe laser ( Otsubo et al., 2022 ).
Authors=Sawadogo, Saguedo; Gnabahou, Doua Allain; Pahima, Tinle; Ouattara, Frederic
Title=Solar activity: Towards a standard classification of solar phases from cycle 1 to cycle 24, 2024, doi:10.1016/j.asr.2023.11.011, ID=26597647
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( BODY ) =The new data set named Sunspot Number ( SN ) is available on several sites: SILSO ( https://sidc.be/silso/ ), OMNIWEB ( https://omniweb.gsfc.nasa.gov/ ) HASO ( https://haso.unex.es ), NOAA ( https://www.ngdc.noaa.gov/ ), etc.
Authors=Ghag, Kalpesh; Pathare, Prachi; Raghav, Anil; Nicolaou, Georgios; Shaikh, Zubair; Dhamane, Omkar; Panchal, Utsav; Kumbhar, Kishor; Tari, Prathmesh; Sathe, Bhagyashri; Pawaskar, Vinit; Hilbert, Greg
Title=Studying the polytropic behavior of an ICME using Multi-spacecraft observation by STEREO-A, STEREO-B, and WIND, 2024, doi:10.1016/j.asr.2023.09.010, ID=26597659
journal=Advances in Space Research
Keywords found:cdaweb
Sample usage ( BODY ) =Acknowledgements We acknowledge the use of NASA/GSFCs Space Physics Data Facilitys CDAWeb service. The data are publicly available at (1) NASAs Goddard Space Flight Center (GSFC) https://wind.nasa.gov/data.php , and (2) Coordinated Data Analysis Web (CDAWeb) https://cdaweb.gsfc.nasa.gov/pub/data/wind/ We thank DST, India since KG is funded by DST-INSPIRE Fellowship (INSPIRE Fellow Registration Number: IF210212).
Authors=Maghrabi, A.; Aisha, Almasoudi; Aied, Alruhaili
Title=Exploring the relationship between space weather parameters and cosmic ray muons observed at high cut-off rigidity site: A correlation, artificial neural network, and spectral analysis, 2024, doi:10.1016/j.asr.2023.11.028, ID=26597673
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( ACK ) =The Solar, interplanetary, and geophysical data were obtained from the OMNI NASA database ( http://omniweb.gsfc.nasa.gov/form/dx1.html ) we would like to thank researchers of OMNI NASA making the data available.
Sample usage ( BODY ) =The solar activity parameters, including the interplanetary magnetic field (B), solar radio emission flux at 10.7cm (F10.7), solar wind speed (V), solar wind density (N), solar wind pressure (P), and the variance of the interplanetary magnetic field vector (F), were acquired from the OMNI NASA database. Table 1 in the study provides a summary of key statistical indicators for these analyzed parameters during the period from 2007 to 2013.
Authors=Haralambous, Haris; Makrominas, Michalis
Title=Validation of the European Ionosonde Service nowcasting foF2 maps over the eastern Mediterranean, 2024, doi:10.1016/j.asr.2023.10.035, ID=26672854
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =The main findings of these climatology studies are in good agreement with International Reference Ionosphere (IRI) representation of key ionospheric characteristics such as E, F1 and F2 layer critical frequencies and bottomside F-layer parameters (B0 and B1).
Authors=Syed Zafar, S. N. A.; Umar, R.; Hazmin, S. N.; Jusoh, M. H.; Yoshikawa, A.; Abe, S.; Uozumi, T.; Afandi, N. Z. M.; Mahiddin, N. A.
Title=Modelling of ULF Pc4 - Pc5 Pulsations with solar winds and geomagnetic storm for ULF earthquake precursor, 2024, doi:10.1016/j.asr.2023.10.036, ID=26672855
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( BODY ) =Data related to solar wind parameters and geomagnetic indices ( SYM/H ) were extracted from the OMNI dataset available at OMNIWeb ( https://omniweb.gsfc.nasa.gov/form/omni_min.html ), which were made available by the Goddard Space Flight Center, NASA.
Sample usage ( ACK ) =Last but no least we want to acknowledge use of the data from Supermag and OMNIWeb.
Sample usage ( ABSTRACT ) =The solar wind and geomagnetic index parameters were obtained from OMNIWeb, where ULF pulsations (Pc4 - Pc5) were computed from the magnetometer Davao station (Philippines) (7.00oN, 125.40oE) located in a low latitude region.
Authors=Liu, Ya-Xin; Zhao, Hai-Sheng; Yang, Li-Xia; Hao, Shu-Ji; Xu, Zheng-Wen
Title=Study on the variation characteristics of ionospheric F2 layer in Qinghai-Tibet plateau and surrounding areas, 2024, doi:10.1016/j.asr.2023.10.049, ID=26672860
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( BODY ) =Fig. 6 (b) presents the daily average data of F 10.7 from 2009 to 2019 (data from OMNIWeb), and it is shown that the solar activity is most intense during 20132015.
Authors=Ou, Ming; Fan, Di; Wang, Cheng; He, Lina
Title=A simulation study of the Argo program-enhanced global ionospheric modeling, 2024, doi:10.1016/j.asr.2023.11.005, ID=26672861
journal=Advances in Space Research
Keywords found:iri
Sample usage ( BODY ) =Additionally, the inequality-constrained least squares method has been proposed to eliminate non-physical negative values ( Zhang, Xu et al. 2013 ), thus ensuring that the resulting VTEC maps are positive valid values. The IRI empirical model has also been applied to provide virtual VTEC observations for global ionospheric modeling, resulting in VTEC maps without negative values and slightly improved precision ( Wang, Shi et al. 2016 ).
Authors=Woldemariam, Shumet Workie; Gogie, Tsegaye Kassa
Title=Characterize the long-term ionospheric response to the changes in solar activity at low-latitude stations of the East African Sector, 2024, doi:10.1016/j.asr.2023.11.017, ID=26672862
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =Acknowledgements We would like to thank: (1) all of the data providers: a) the NASA OMNIWeb Plus database (https://omniweb.gsfc.nasa.gov/) for F10.7 and SSN indices; and b) websites: https://dornsife.usc.edu/space-sciences-center/download-sem-data/ for SEM/SOHO EUV flux data and ftp://data-out.unavco.org/pub/rinex for TEC data; (2) Dejene Ambisa, my friend, for his constructive support; and 3) the authors of cited articles, journals, and books are also acknowledged.
Sample usage ( BODY ) =Based on the coefficients of the fitted polynomial, simple analyses of the linear and nonlinear trends of the variability were presented. 2 Study area Fig. 1 illustrates the positions of the GPS receivers stations to collect data for this work in which their coordinates are presented in Table 1 . 3 Data set and methods 3.1 Data sources 3.1.1 Solar indices data The solar activity indices, like EUV from SEM/SOHO (https://dornsife.usc.edu/space-sciences-center/download-sem-data/ or http://lasp.colorado.edu/lisird/whi-ref-spectra/), and F 10.7 and SSN that are available from NASAs Goddard Space Flight Center through the OMNIWeb Plus database (https://omniweb.gsfc.nasa.gov/), have been used to determine solar activity effects on the ionosphere. 3.1.2 GPS/GNSS data A global chain of GPS/GNSS (Global Navigation Satellite Systems) receivers data in Receiver-Independent Exchange (RINEX) format was obtained from the International GPS Geodynamics Service (IGS) network (http://www.unavco.org/data/gps-gnss/data-access and UNAVCO ftp://data-out.unavco.org/pub/rinex) that has been used to derive TEC values.
Authors=Kalita, Bitap Raj; Bhuyan, P. K.; Choudhary, M.; Chakrabarty, D.; Tiwari, R. C.; Le. Huy, M.; Wang, K.; Hozumi, K.; Komolmis, T.; Nath, S. J.
Title=The differential conjugate hemisphere ionospheric response during solstice storms and the winter side maxima, 2024, doi:10.1016/j.asr.2023.11.025, ID=26672863
journal=Advances in Space Research
Keywords found:cdaweb, spdf, omni
Sample usage ( BODY ) =The IGS Global Ionospheric Map-VTEC ( Hernndez-Pajares et al., 2009 ) is utilized to calculate the EIA profile in the 95E longitude and is available at https://cdaweb.gsfc.nasa.gov . The C/NOFS vertical drift and horizontal ion flow data was downloaded from https://cdaweb.gsfc.nasa.gov .
Sample usage ( ACK ) =The authors acknowledge the International Global Navigation Satellite Systems (GNSS) Service Ionosphere Working Group for compiling the data, IGS VTEC maps, the Crustal Dynamics Data Information System (CDDIS) for hosting the data, and SPDF for archiving and distributing the data. We acknowledge the European Space Agency (ESA) for the support of the Swarm mission.
Sample usage ( ACK ) =We acknowledge the NASA/GSFCs Space Physics Data Facilitys OMNI Web service for the data of the interplanetary and geophysical parameters.
Authors=Emelyanov, Leonid Ya.; Bogomaz, Oleksandr V.; Chernogor, Leonid F.; Domnin, Igor F.
Title=Response of the mid-latitude ionosphere to the solar eclipse on 25 October 2022: Results of F2-layer vertical sounding, 2024, doi:10.1016/j.asr.2023.12.034, ID=26840475
journal=Advances in Space Research
Keywords found:spdf, omniweb, iri, international reference ionosphere
Sample usage ( ACK ) =Other indices are taken at Goddard Space Flight Center SPDF site ( https://omniweb.gsfc.nasa.gov/ ). International Reference Ionosphere (2016) online version is available on the Community Coordinated Modeling Center website ( https://ccmc.gsfc.nasa.gov/modelweb/models/iri2016\_vitmo.php ).
Sample usage ( BODY ) =Fig. 2 shows the temporal variations of K p and D st indices, as well as the B y and B z components of interplanetary magnetic field and zonal component of magnetospheric electric field ( E y ) obtained from https://omniweb.gsfc.nasa.gov/ . During the considered period of measurements, solar activity was moderate: the solar activity index F 10.7 =105122s.f.u. (1s.f.u.=10 22 m 2 Hz 1 ).
Sample usage ( BODY ) =Variations in h m F2 caused by SE in Kharkiv and Pruhonice are identical. 4.4 Comparison of results of observations of the ionosphere over Kharkiv with the International Reference Ionosphere model International Reference Ionosphere (IRI-2016) model ( Bilitza et al., 2017 ) is an empirical model of the ionosphere based on available and reliable data sources specifying climatology of electron density, ion composition, electron and ion temperatures in the altitude range from 50km to 2000km. In this work, the IRI model options URSI and AMTB-2013 were used for calculating N m F2 and h m F2 respectively.
Authors=Wang, Jian; Yu, Qiao; Shi, Yafei
Title=Comparison of observed hmF2 and the IRI-2020 model for six stations in East Asia during the declining phase of the solar cycle 24, 2024, doi:10.1016/j.asr.2023.12.001, ID=26840481
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =The International Reference Ionosphere (IRI) ( Bilitza, 2001 ) is the most widely used ionospheric standard model in the ionospheric community, with the latest version being IRI-2020. The current IRI model provides three hmF2 prediction models, namely: Bilitza-Sheikh-Eyfrig (IRI-BSE) ( Bilitza et al., 1979 ); Altadill-Magdaleno-Torta-Blanch (IRI-AMTB) ( Altadill et al., 2013 ); Shubin (IRI-SHU) ( Shubin, 2015 ).
Sample usage ( ABSTRACT ) =This study analyzed and compared data from six stations to validate the long-term predictive capabilities of three forecasting modes of the IRI-2020 for hmF2 in the East Asia region. Specifically, the three models of IRI-2020 for the hmF2 prediction are the BSE model proposed in 1955, the AMTB model presented in 2013, and the SHU model proposed in 2015.
Sample usage ( TITLE ) =Comparison of observed hmF2 and the IRI-2020 model for six stations in East Asia during the declining phase of the solar cycle 24
Sample usage ( BODY ) =Additionally, it aids in calculating vertical plasma drift velocity, studying ionospheric electrodynamics, and enhancing understanding of the space weather environment ( Adebesin and Adeniyi, 2018 ). The International Reference Ionosphere (IRI) ( Bilitza, 2001 ) is the most widely used ionospheric standard model in the ionospheric community, with the latest version being IRI-2020.
Authors=Freeshah, Mohamed; Adil, Muhammad Arqim; Senturk, Erman; Zhang, Xiaohong; Ren, Xiaodong; Liu, Hang; Osama, Nahed
Title=A cyclone formation, eastward plume drag, ion-hydration process, and the consequent ionospheric changes following the 2022 Hunga Tonga-Hunga Ha’apai volcanic eruption, 2024, doi:10.1016/j.asr.2023.12.029, ID=26840485
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =The authors are very grateful to IGS data is open access on ( https://igs.org/data/ ) for providing GNSS data, NASA for providing space weather indices ( https://omniweb.gsfc.nasa.gov/form/dx1.html ). We also gratefully acknowledge the MATrix LABoratory (MATLAB) software ( https://matlab.mathworks.com/ ).
Authors=Ngobeni, M. D.; Potgieter, M. S.; Aslam, O. P. M.
Title=Towards understanding time variations of proton to helium ratios in the heliosphere: Implication for the time dependence of the elements of the diffusion tensor, 2024, doi:10.1016/j.asr.2023.12.025, ID=26840520
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( BODY ) =The top panel shows the observed magnitude of the HMF at the Earth for this period taken from https://omniweb.gsfc.nasa.gov . Shaded parts indicate the period of no well-defined HMF polarity during solar maximum when the HMF changed from the A0 to A>0 HMF polarity cycles as adapted from Aslam et al., (2021 , 2023a,b), who discussed this aspect in great detail.
Authors=Gogoi, Jinee; Bhuyan, Kalyan; Kalita, Bitap Raj; Vaishnav, Rajesh
Title=Conjugate hemispheric response of Earth’s ionosphere due to 2019 Antarctic minor Sudden Stratospheric Warming (SSW): Comparison with 2013 Arctic major SSW, 2024, doi:10.1016/j.asr.2023.12.031, ID=26840536
journal=Advances in Space Research
Keywords found:omniweb, iri, international reference ionosphere
Sample usage ( ACK ) =Acknowledgments The authors would like to thank the NASA/GSFCs ACDL and Copernicus Climate Change Service for providing the stratospheric data, NICTs and SWS WDC for ionospheric data, and OMNIWeb for F10.7 solar flux and Ap index data. The authors are also thankful to the MIMOSA, IRI, and SABER teams for providing access to the potential vorticity maps and online ionospheric electron density and temperature data respectively.
Sample usage ( BODY ) =We have used solar and geomagnetic data from NASAs Omniweb database ( NASA, 2023b ). Among the solar proxies, we have used the F10.7 index to represent solar activity, whereas global geomagnetic activities are represented by Ap index.
Sample usage ( ACK ) =The authors are also thankful to the MIMOSA, IRI, and SABER teams for providing access to the potential vorticity maps and online ionospheric electron density and temperature data respectively.
Sample usage ( BODY ) =However, the SSW contribution is found to be more significant in Darwin during 2019 SSW and in Okinawa during 2013 SSW. 3.4 Comparison of foF2 from ionosonde and IRI-16 We have plotted hourly values of foF2 in Fig. 8 to compare the ionosonde and IRI-16 foF2, where the upper panels show the foF2 over Okinawa and the lower panels show that over Darwin. In panel (a), we have shown the foF2 on October 1, 2019, over Okinawa from ionosonde (red solid carve) and IRI-16 (red dotted curve), while in panel (b), the blue solid curve indicates foF2 over Darwin on September 30, 2019, as obtained from ionosonde and the blue dotted curve shows the same from IRI-16.
Sample usage ( ABSTRACT ) =We have also investigated the foF2 variations from ionosonde and IRI-16 at the same two locations. The peak electron density from ionosonde responds to the warming in a manner similar to TEC. The foF2 of IRI-16 exhibits overestimation during daytime and underestimation during nighttime on quiet days during low solar activity (2019), while during moderate solar activity (2013), it overestimates during morning hours.
Sample usage ( BODY ) =The foF2 provides peak electron density NmF2 as, Ionospheric F2 layer parameters have also been taken from the International Reference Ionosphere (IRI-16) model. It is an empirical standard model that provides electron density, electron temperature, ion temperature, and ion composition in the ionospheric altitude range.
Authors=Aol, Sharon; Habyarimana, Valence; Mungufeni, Patrick; Buchert, Stephan C.; Habarulema, John Bosco
Title=Ground and Space-based response of the ionosphere during the geomagnetic storm of 02-06 November 2021 over the low-latitudes across different longitudes, 2024, doi:10.1016/j.asr.2023.12.032, ID=26840537
journal=Advances in Space Research
Keywords found:cdaweb, omni, omniweb
Sample usage ( ACK ) =Acknowledgments We acknowledge use of NASA/GSFCs Space Physics Data Facilitys OMNIWeb ( https://cdaweb.gsfc.nasa.gov ) service, and OMNI data. The authors acknowledge the ESA Swarm team for the Swarm mission.
Sample usage ( BODY ) =The solar wind and geophysical parameters are readily available at the Coordinated Data Analysis Web (CDAWeb) link ( https://cdaweb.gsfc.nasa.gov ). For ground-based observations of the ionosphere, GPS-TEC from selected GPS receiver stations, installed over the low- and mid- latitudes, were used.
Authors=Arslan Tariq, M.; Liu, Libo; Shah, Munawar; Yang, Yuyan; Sun, Wenjie; Ali Shah, M.; Zhang, Ruilong; Yoshikawa, Akimasa
Title=Longitudinal variations of ionospheric responses to the February and April 2023 geomagnetic storms over American and Asian sectors, 2024, doi:10.1016/j.asr.2023.12.039, ID=26840539
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =The authors acknowledge the role of the Alliance of International Science Organization ( ANSO ), Institute of Geology and Geophysics ( IGG ), University of Chinese Academy of Sciences (UCAS), and Centre for Earthquake Studies (CES) in providing a platform to perform this work. We are thankful to OMNIWeb and Kyoto University for the geomagnetic storm indices data. CORS GNSS data are available at ( https://geodesy.noaa.gov/corsdata ).
Sample usage ( BODY ) =The data of the Dst index were obtained from the World Data Center (WDC) for Geomagnetism Kyoto, Japan, to depict the geomagnetic activity conditions ( https://wdc.kugi.kyoto-u.ac.jp/ ). The OMNIWeb was used to obtain the IMF of the Bz component (IMF Bz) in GSM coordinates and the Kp index ( https://omniweb.gsfc.nasa.gov/form/dx1.html ).
Authors=Mridula, N.; Manju, G.; Sijikumar, S.; Pant, Tarun Kumar
Title=Performance evaluation of ionospheric models over equatorial Indian region, 2024, doi:10.1016/j.asr.2023.12.040, ID=26840541
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( ACK ) =Acknowledgements The authors gratefully acknowledge the GAGAN project, jointly operated by the Indian Space Research Organization, and the Airport Authority of India, for providing TEC measurements from GPS receiver for the period of November 2005 to October 2006. IRI data is obtained from the link https://ccmc.gsfc.nasa.gov/modelweb/models/iri2016\_vitmo.php.
Sample usage ( BODY ) =Bilitza et al., 2022 have revised the IRI model ( Bilitza et al., 2014, 2017 ) and this empirical model referred to as IRI-2020 is utilized in the present study.
Sample usage ( ABSTRACT ) =An extensive year-long evaluation of Total Electron Content (TEC) obtained from NCAR Thermosphere-Ionosphere Electrodynamics General Circulation Model (TIE-GCM) simulations along with TEC obtained from International Reference Ionosphere (IRI-2020) is carried out with respect to observations made by a GPS TEC receiver over the dip equatorial location of Thiruvananthapuram (8.5deg N, 77deg E, 0.5deg magnetic), in the Indian region during solar minimum period of 2005-2006.
Authors=Choudhary, R. K.; St. -Maurice, J. -P.; Ambili, K. M.; Tripathi, Keshav R.
Title=Examining the effects of a pre-noon annular Solar Eclipse on equatorial electrodynamics: Evidence for a subsequent post-noon enhancement in plasma density, 2024, doi:10.1016/j.asr.2023.12.047, ID=26840543
journal=Advances in Space Research
Keywords found:omniweb, iri, vitmo
Sample usage ( BODY ) =In the model calculations, neutral densities and temperatures were obtained from the MSIS model http://omniweb.gsfc.nasa.gov/vitmo/msis_vitmo.html, while electron and ion temperatures were retrieved from the IRI model http://ccmc.gsfc.nasa.gov/modelweb/models/iri\_vitmo.php.
Authors=Zhou, Su; Cai, Yongzhi; Ou, Ping; Zhu, Lin; Wu, Dan
Title=On the formation of postnoon auroral bright spots during weak substorm activity, 2024, doi:10.1016/j.asr.2023.12.058, ID=26840545
journal=Advances in Space Research
Keywords found:spdf, space physics data facility, omni
Sample usage ( ACK ) =The DMSP/SSM and DMSP/SSIES data are available at https://spdf.gsfc.nasa.gov/pub/data/dmsp/ . OMNI solar wind and IMF data are provided by the Goddard Space Flight Center Space Physics Data Facility available at https://spdf.gsfc.nasa.gov/pub/data/omni/omni_cdaweb/
Sample usage ( ACK ) =OMNI solar wind and IMF data are provided by the Goddard Space Flight Center Space Physics Data Facility available at https://spdf.gsfc.nasa.gov/pub/data/omni/omni_cdaweb/
Sample usage ( BODY ) =Besides, we use the solar wind plasma data and geomagnetic indices, with 1min resolution, obtained from the OMNI database. 3 Observations 3.1 Case 1: June 05, 2010, 05:36 UT Our first example of postnoon auroral bright spot took place around 05:36 UT on June 05, 2010.
Authors=Chang, Loren C.; Hsieh, Yueh-Chun; Chao, Chi-Kuang; Duann, Yi; Salinas, Cornelius Csar Jude H.; Liu, Jann-Yenq; Lin, Charles C. H.
Title=Variability and distribution of nighttime equatorial to mid latitude ionospheric irregularities and vertical plasma drift observed by FORMOSAT-5 Advanced Ionospheric Probe in-situ measurements from 2017 - 2020, 2024, doi:10.1016/j.asr.2023.07.067, ID=27117967
journal=Advances in Space Research
Keywords found:cdaweb
Sample usage ( ACK ) =Acknowledgements The FORMOSAT-5 / AIP ion density and vertical ion drift data utilized in this study are available via the National Aeronautics and Space Administration (NASA) Coordinated Data Analysis Web (CDAweb, https://cdaweb.gsfc.nasa.gov/misc/NotesF.html#FORMOSAT5_AIP_IDN ) and the FORMOSAT-5 AIP Science Data Center ( http://sdc.ss.ncu.edu.tw/index.html ).
Sample usage ( BODY ) =The results are illustrative of the capabilities of AIP, as well as level of inter-annual consistency and variation in the distribution of low latitude ionospheric irregularities such as EPBs and MSTIDs, as well as the vertical ion drift believed to be a contributing factor to the occurrence rate of EPBs. 2 Methodology The FORMOSAT-5 / AIP ion density and vertical ion drift data utilized in this study are available via the National Aeronautics and Space Administration (NASA) Coordinated Data Analysis Web (CDAweb, https://cdaweb.gsfc.nasa.gov/misc/NotesF.html#FORMOSAT5_AIP_IDN ) and the FORMOSAT-5 AIP Science Data Center ( http://sdc.ss.ncu.edu.tw/index.html ).
Authors=Rathi, Rahul; Gurram, Padma; Mondal, Subarna; Yadav, Virendra; Sarkhel, Sumanta; Sunil Krishna, M. V.; Upadhayaya, Arun K.
Title=Unusual simultaneous manifestation of three non-interacting mid-latitude ionospheric plasma structures, 2024, doi:10.1016/j.asr.2023.04.038, ID=27117969
journal=Advances in Space Research
Keywords found:cdaweb
Sample usage ( ACK ) =Solar flux index (F10.7) is obtained from CDAWeb (https://cdaweb.gsfc.nasa.gov/index.html). NRL-MSISE00 model data is available at https://ccmc.gsfc.nasa.gov/modelweb/models/nrlmsise00.php.
Authors=Fontes, P. A.; Muella, M. T. A. H.; Resende, L. C. A.; Fagundes, P. R.
Title=Evidence of anti-correlation between sporadic (Es) layers occurrence and solar activity observed at low latitudes over the Brazilian sector, 2024, doi:10.1016/j.asr.2023.09.040, ID=27117971
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =We thank NASA for free access to F10.7 solar flux data from the following website: https://omniweb.gsfc.nasa.gov/form/dx1.html . The ionosonde data for the observatory of Palmas in the period from December/2008 to November/2009 is available for download from the following Zenodo DOI: https://doi.org/10.5281/zenodo.7826805 ( Fontes et al., 2023b ).
Authors=Patgiri, Dipjyoti; Rathi, Rahul; Yadav, Virendra; Sarkhel, Sumanta; Chakrabarty, Dibyendu; Mondal, Subarna; Sunil Krishna, M. V.; Upadhayaya, Arun K.; Vivek, Chiranjeevi G.; Kannaujiya, Suresh; Sunda, Surendra
Title=A case study on multiple self-interactions of MSTID bands: New insights, 2024, doi:10.1016/j.asr.2023.05.047, ID=27117976
journal=Advances in Space Research
Keywords found:cdaweb
Sample usage ( ACK ) =The global TEC map from the International GNSS Service (IGS) is available at https://cdaweb.gsfc.nasa.gov/index.html . The geomagnetic activity indices are available at http://wdc.kugi.kyoto-u.ac.jp/kp/index.html .
Authors=El-Desoky, Eman M.; Mainul Hoque, Mohammed; Youssef, M.; Mahrous, Ayman
Title=Seasonal morphology and solar activity dependence analysis of mid-latitude post-midnight enhancement using Global Ionospheric Map, 2024, doi:10.1016/j.asr.2023.09.061, ID=27117981
journal=Advances in Space Research
Keywords found:cdaweb, omniweb
Sample usage ( ACK ) =The data of IMF components and F10.7 are given by OMNIWeb service ( https://cdaweb.gsfc.nasa.gov/ ).
Sample usage ( BODY ) =To investigate the correlation between the magnitude of IMF components and the MPE occurrence in TEC, the data of IMF with 1h time resolution are collected from the OMNIWeb webportal available at: https://omniweb.gsfc.nasa.gov . Additionally, we utilize the solar radio flux index (F10.7) in order to examine the dependency of MPE strength on solar activity. The F10.7 data, also collected from the OMNIWeb web portal, are available with 1-hour time resolution. 3 Results and discussion Figs. 1 and 2 show the mid-latitude post-midnight enhancement in TEC globally at local post-midnight hours during low and high solar activity years 2020 and 2014, respectively.
Authors=Ansari, Kutubuddin; Kumar Panda, Sampad; Kavutarapu, Venkatesh; Jamjareegulgarn, Punyawi
Title=Towards mitigating the effect of plasma bubbles on GPS positioning accuracy through wavelet transformation over Southeast Asian region, 2024, doi:10.1016/j.asr.2023.04.041, ID=27117982
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( ACK ) =Finally, the authors express their appreciation to the managers as well as the staff of the NASA OMNI website for providing several geomagnetic storm parameters for this present work.
Sample usage ( BODY ) =The geomagnetic Kp index, interplanetary magnetic field component (IMF-Bz), interplanetary electric field component (Ey), and others are downloaded from the NASA-OMNI website ( https://omniweb.gsfc.nasa.gov /, accessed on 2 January, 2022).
Authors=Mondal, Mukulika; Kumar, Sanjay; Banola, S.; Singh, A. K.
Title=Occurrence of ionospheric scintillations under different solar and geomagnetic conditions over low latitude station Varanasi, 2024, doi:10.1016/j.asr.2023.12.050, ID=27117985
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( BODY ) =The data of the solar flux index (F10.7) is taken from the website: https://omniweb.gsfc.nasa.gov/form/dx1.html . The impact of moderate and intense geomagnetic storms on the occurrence of scintillations is also studied. Characteristics of various solar and geomagnetic parameters related to the geomagnetic storms (Dst-index, IMF Bz, Ey, Kp-index, solar wind speed) during the whole storm period are taken from the website: https://omniweb.gsfc.nasa.gov/form/dx1.html . In the analysis, we have used ionosonde data from the nearest available station at Prayagraj (geogr. lat. 25.41 N, long. 81.93 E, dip lat. 16.5 N), and have studied the dependence of scintillation on the height rise of F layer (h / F).
Authors=Haridas, Sreekumar; Rakesh, V.; Manoj, M. G.; Unnikrishnan, K.; Paul, Binu; Abhilash, S.; Mohanakumar, K.
Title=Geomagnetic storm-induced perturbations over Indian equatorial ionosphere, 2024, doi:10.1016/j.asr.2023.04.017, ID=27117988
journal=Advances in Space Research
Keywords found:cdaweb, omniweb
Sample usage ( ACK ) =We are grateful to the European Space Agency for the Swarm satellite data (https://vires.services/), and the ACE satellite data ( https://cdaweb.gsfc.nasa.gov/index.html/ ). Thanks are also due to NASA for the GUVI/TIMED data (http://guvitimed.jhuapl.edu/data\_products).
Sample usage ( BODY ) =The one-minute ACE data is provided in the OMNIWeb database ( https://cdaweb.gsfc.nasa.gov/index.html/ ) and is used to characterize the moderate and weak geomagnetic storms considered in the present communication.
Authors=Choudhary, R. K.; St. -Maurice, J. -P.; Ambili, K. M.
Title=The particularly clean response of the Indian sector to a strong but short lived geomagnetic storm, 2024, doi:10.1016/j.asr.2023.05.048, ID=27117991
journal=Advances in Space Research
Keywords found:iri
Sample usage ( BODY ) =The GITM model uses realistic values of F10.7, hemispheric power index, IMF, solar wind parameters, and solar irradiance as model inputs, along with outputs from MSIS and IRI as initial conditions. Details of the GITM model can be found in Ridley et al. (2006) .
Authors=Mishin, V. V.; Klibanova, Yu. Yu.; Marchuk, R. A.; Mikhalev, A. V.; Penskikh, Y. V.
Title=Midlatitude bursts of PiB geomagnetic pulsations and night airglow during stormtime sawtooth events, 2024, doi:10.1016/j.asr.2023.06.032, ID=27117993
journal=Advances in Space Research
Keywords found:cdaweb
Sample usage ( ACK ) =Experimental data were obtained using the equipment of the Central Collective Use Center Angara (ISTP SB RAS) (http://ckprf.ru/ckp/3056). We are grateful to NASA CDAWEB for providing satellite data available at (http://cdaweb.gsfc.nasa.gov/), (http://supermag.jhuapl.edu).
Sample usage ( BODY ) =We also used satellite data from the CDAW website ( https://cdaweb.gsfc.nasa.gov/ ) of observations of the SW parameters and the interplanetary magnetic field (IMF) and energetic electron fluxes at the geosynchronous orbit (data from satellites LANL 1989 and LANL 1994).
Authors=Shah, Trunali; Veenadhari, B.; Pandya, M.; Nose, M.
Title=Energetic ion variations during substorm intervals using the Van Allen Probes data, 2024, doi:10.1016/j.asr.2023.07.011, ID=27117999
journal=Advances in Space Research
Keywords found:cdaweb, omni, omniweb
Sample usage ( ACK ) =The HOPE and EMFISIS data from RBSP are used from https://cdaweb.gsfc.nasa.gov/cgi-bin/eval1.cgi.
Sample usage ( ACK ) =The solar wind and interplanetary data are available at https://omniweb.gsfc.nasa.gov/form/omni_min.html. The HOPE and EMFISIS data from RBSP are used from https://cdaweb.gsfc.nasa.gov/cgi-bin/eval1.cgi.
Sample usage ( BODY ) =Sym-H and the interplanetary parameters IMF Bz, the V sw, and solar wind dynamic pressure (P sw ) were acquired from the OMNI database. OMNI data set consists of averaged ACE, WIND, IMP 8, and Geotail magnetic field and plasma data shifted to the bow shock nose location.
Authors=Mizonova, Vera G.; Bespalov, Peter A.
Title=Response of propagation of ELF electromagnetic waves through the morning ionosphere to small density variations caused by infrasonic wave, 2024, doi:10.1016/j.asr.2023.07.055, ID=27118003
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =The plasma density are taken from International Reference Ionosphere ( Bilitza and Reinisch, 2008 ) ( https://kauai.ccmc.gsfc.nasa.gov/instantrun/**iri** ) and correspond to 60 0 N , 50 0 E , 30 September 2022, 05:00 LT.
Authors=Zhang, Nana; Tang, Siyu; Huang, Zhi
Title=Short-term regional ionospheric TEC forecast using a hybrid deep learning neural network, 2024, doi:10.1016/j.asr.2023.04.039, ID=27118009
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =One of the most widely used models is the International Reference Ionosphere (IRI), IRI can describe monthly averages of electron density in the altitude range from 50km to 1500km if a series of standard parameters are provided including location, local time, day of year, and solar activity indices. Generally, the IRI model can not only produce TEC mapping and but have the ability to prediction.
Authors=Maheswaran, Veera Kumar; Baskaradas, James A.; Nagarajan, Raju; Anbazhagan, Rajesh; Subramanian, Sriram; Devanaboyina, Venkata Ratnam; Das, Rupesh M.
Title=Bi-LSTM based vertical total electron content prediction at low-latitude equatorial ionization anomaly region of South India, 2024, doi:10.1016/j.asr.2023.08.054, ID=27118010
journal=Advances in Space Research
Keywords found:omniweb, iri
Sample usage ( ACK ) =Acknowledgement The authors thank the SASTRA Deemed University for providing the research facilities and CSIR-National Physical Laboratory, New Delhi, for providing a GPS receiver. The authors thank Omniweb (NASA) for providing IMF parameters.
Sample usage ( BODY ) =The Bi-LSTM-based model demonstrated lower root mean square errors than the IRI-2016, synthetic neural network, and LSTM-based models. The superior performance of the Bi-LSTM model can be attributed to its incorporation of both forward and backward sequence information.
Authors=Venkatesh, K.; Pallamraju, D.; Dalsania, Kelvy P.; Chakrabarty, D.; Pant, T. K.
Title=Evaluation of the performance of F-layer peak height models used in IRI-2016 over the Indian equatorial and low latitudes, 2024, doi:10.1016/j.asr.2023.06.047, ID=27118011
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( ACK ) =Acknowledgements We express sincere thanks to the Community coordinated Modeling Center, NASA for providing the web based platform to run the IRI-2016 model ( https://ccmc.gsfc.nasa.gov/modelweb/models/iri2016\_vitmo.php ).
Sample usage ( BODY ) =Another method introduced in the recent versions of IRI is the SHU-2015 developed by Shubin et al., (2013) and Shubin (2015) .
Sample usage ( ABSTRACT ) =The performance of different height models (BSE-1979, AMTB-2013, and SHU-2015) in the International Reference Ionosphere (IRI-2016) is evaluated over the Indian equatorial and low latitude sectors. The impact of deviations in the modelled hmF2 on the estimation of electron density profiles and the Total Electron Content (TEC) is examined using the three different hmF2 methods in IRI-2016. For this study digisonde observations over Trivandrum (8.5 degN, 76.9 degE) and Ahmedabad (23.0 degN, 72.5 degE) along with GPS observations over Colombo (6.8 degN, 79.8 degE) and Ahmedabad during a high solar activity year 2014 are considered. A comparison of electron density profiles between digisonde and IRI-2016 at both the equatorial station, Trivandrum, and the low latitude station, Ahmedabad, revealed significant deviations with higher deviations in the post sunset hours at the equator.
Sample usage ( TITLE ) =Evaluation of the performance of F-layer peak height models used in IRI-2016 over the Indian equatorial and low latitudes
Sample usage ( BODY ) =Over the equatorial and low latitudes, the ionospheric height distribution is highly variable, being characterized with the dynamic processes and makes it challenging to model the realistic hmF 2. The International Reference Ionosphere (IRI) is the most widely used empirical model, which simulates a variety of ionospheric parameters, namely, the electron density profiles, density and heights of different ionospheric layers, ion and electron temperatures, composition etc ( Bilitza et al., 2022 ).
Authors=Yang, Yuyan; Liu, Libo; Zhao, Xiukuan; Han, Tingwei; Arslan Tariq, M.; Chen, Yiding; Zhang, Hui; Le, Huijun; Zhang, Ruilong; Li, Wenbo; Sun, Wenjie; Li, Guozhu
Title=A quantitative analysis of latitudinal variation of ionospheric total electron content and comparison with IRI-2020 over China, 2024, doi:10.1016/j.asr.2023.05.040, ID=27118012
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =Nevertheless, the performance of IRI in quantitatively describing spatial variations remains unclear, and whether IRI can be used to correct the influence of spatial structures requires further assessment.
Sample usage ( ABSTRACT ) =Furthermore, the International Reference Ionosphere (IRI-2020) model is assessed in terms of the reproducibility of latitudinal gradient. The IRI-2020 basically represents the latitudinal gradient within 10deg-40deg N, whereas it overestimates the gradient in the low solar activity period and misses the gradient features near 45deg-50deg N.
Sample usage ( TITLE ) =A quantitative analysis of latitudinal variation of ionospheric total electron content and comparison with IRI-2020 over China
Sample usage ( BODY ) =As the official standard for the ionosphere, the International Reference Ionosphere (IRI) has been used to correct ionospheric delay errors after extensive validations ( Bilitza et al., 2022 ).
Authors=Emmela, Suneetha; Ratnam, D. Venkata; Leong, Tan Eng
Title=Regional ionospheric TEC modeling during geomagnetic storm in August 2021- data fusion using multi-instrument observations, 2024, doi:10.1016/j.asr.2023.06.054, ID=27118013
journal=Advances in Space Research
Keywords found:omniweb, iri
Sample usage ( BODY ) =To understand the severity of geomagnetic storms, various indices, magnetic and electric field components are obtained from https://omniweb.gsfc.nasa.gov/form/dx1.html . The data sources used are as follows: 2.1 Ground-based observations The global Vertical TEC maps are obtained on a daily basis from Centre for Orbit Determination in Europe (CODE) with a temporal resolution of 1h.
Sample usage ( BODY ) =Dettmering et al. (2011) examined regional VTEC models based on IRI-2007 and measurements of ground-based receivers, LEO RO, altimetry, and data obtained from Very Long Baseline Interferometry (VLBF).
Authors=Denisenko, Valery V.; Rycroft, Michael J.
Title=Seasonal dependence of the equatorial electrojets generated by thunderstorms, 2024, doi:10.1016/j.asr.2023.08.017, ID=27118065
journal=Advances in Space Research
Keywords found:iri
Sample usage ( BODY ) =We calculate local conductivities in the ionosphere using the following empirical models: IRI-2016 ( Bilitza et al., 2017 ), MSIS 1990 E ( Hedin, 1991 ), and IGRF ( Thbault et al., 2015 ).
Authors=Lissa, D.; Seemala, Gopi K.; Venkatesh, K.; Prasad, D. S. V. V. D.; Niranjan, K.
Title=ROTI and scintillation index correlation under quiet and disturbed periods over an Indian low latitude station, Waltair, 2024, doi:10.1016/j.asr.2023.09.060, ID=27118068
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( BODY ) =The Dst index observations are taken from the OMNIWeb data documentation center https://omniweb.gsfc.nasa.gov/form/omni_min.html . The total number of quiet days and disturbed days are 855 and 238 during the period from 2015 to 2017. 3 Results and discussion 3.1 The diurnal variations of ROTI and S 4 index To study the annual and seasonal correlation between ROTI and S 4 index during quiet and disturbed conditions, the diurnal variation of S 4 index and ROTI are obtained using GPS observations.
Authors=Oyeyemi, E. O.; Akala, A. O.; Okoh, D.; Odeyemi, O. O.; Olugbon, B.; Amaechi, P. O.; Oyedokun, O. J.; Idolor, O. R.
Title=Responses of the Nigerian low-latitude ionosphere to geomagnetic storms of the ascending and maximum phases of solar cycle 24, 2024, doi:10.1016/j.asr.2023.12.051, ID=27285393
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( BODY ) =The solar wind data and SYMH data were obtained from https://omniweb.gsfc.nasa.gov/ow_min.html , while the Kp index data were obtained from https://wdc.kugi.kyoto-u.ac.jp/ .
Authors=Anoke-Uzosike, R.; Akala, A. O.; Oyeyemi, E. O.
Title=Sub-daily solar wind-magnetosphere energy transfer during major geomagnetic storms of solar cycle 23, 2024, doi:10.1016/j.asr.2024.01.007, ID=27285394
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( ACK ) =Acknowledgements The authors appreciate the Department of Space facility, NASA who made available the geomagnetic activity index and solar wind data ( https://omniweb.gsfc.nasa.gov/form/omni.html ). We also extend our gratitude to the World Data Centre (WDC) for Geomagnetism, Kyoto ( http://wdc.kugi.kyoto-u.ac.jp ) and SUPERMAG data http://supermag.jhuapi.edu/mag for the making available the lower index and electrojet index for research purposes.
Sample usage ( BODY ) =On the other hand, the solar wind parameters consisting of the magnitude of the IMF B, solar wind speed, interplanetary electric field (IEEY), southward component of the interplanetary magnetic field ( B Z ), proton density, flow pressure, and Symmetric-H (SYM-H) were obtained from the National Aeronautics and Space Administrations Advanced Composition Explorer (ACE) satellite data, obtained at https://omniweb.gsfc.nasa.gov/form/omni.html . ACE satellite orbits the L1 Lagrange point, which is a point of gravitational equilibrium between the Earth and the Sun, about 900,000 miles from Earth and 92 million miles from the Sun.
Authors=Kapil, Chandan; Seemala, Gopi K.; Katual, Ipsita; Dimri, A. P.
Title=Ionospheric response to PPEF events in the Indian region during high and low intense geomagnetic storms, 2024, doi:10.1016/j.asr.2024.01.018, ID=27285395
journal=Advances in Space Research
Keywords found:spdf, omni, omniweb
Sample usage ( ACK ) =The OMNI data were obtained from the GSFC/SPDF OMNIWeb interface at https://omniweb.gsfc.nasa.gov . The PPEEFM1 model is used from the webpage https://geomag.colorado.edu/prompt-penetration-equatorial-electric-field-model-ppeefm1.html .
Sample usage ( BODY ) =These indices and parameters are downloaded from SPDF-omniweb services. The ground magnetic data was also used to observe the effect of ionospheric currents during geomagnetic storms.
Sample usage ( ACK ) =One of the authors (C.K.) is grateful to IIG for the fellowship awarded towards her Ph.D. The OMNI data were obtained from the GSFC/SPDF OMNIWeb interface at https://omniweb.gsfc.nasa.gov .
Authors=Starodubtsev, Sergey; Kovalev, Ivan; Gololobov, Petr; Grigoryev, Vladislav; Kravtsova, Marina; Krymsky, Germogen; Olemskoy, Sergey; Sdobnov, Valery
Title=Investigating the heliosphere, magnetosphere, atmosphere, and properties of cosmic rays during the 2018 Aug 25-26 strong geomagnetic storm, 2024, doi:10.1016/j.asr.2024.01.027, ID=27285397
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( BODY ) =As per straight observations of the SW parameters presented in the known OMNI database https://omniweb.gsfc.nasa.gov, this event was followed by a gradual drop in the SW velocity, by a change in the direction of and growth in the IMF strength vector against the decrease in its turbulence.
Sample usage ( ABSTRACT ) =Also, in our analysis, we used the data on direct measurements of the interplanetary medium parameters from the known OMNI database, CR measurements at the GOES geostationary satellites, from the global network of neutron monitors and muon detectors, from the Sayan spectrograph, and from the A.I.
Authors=Moulick, Rakesh; Adhikari, Sayan; Sharma, Gunjan; Saikia, B. K.; Miloch, W. J.
Title=Particle-In-Cell simulation of electrostatic waves in the ionosphere, 2024, doi:10.1016/j.asr.2024.02.009, ID=27466214
journal=Advances in Space Research
Keywords found:iri
Sample usage ( BODY ) =It is possible to see that the ionospheric parameters change, depending on the solar activity by comparing the IRI ( IRI, 2023 ) and Solar Progression Cycle ( NOAA 2023 ) data. For example, Fig. 1 shows the electron density and temperature profiles on the 1 st Feb. 2014 and 1 st Feb. 2020 at 77.8750N, 20.9752E (Svalbard) at 1 PM using the IRI-2016 model.
Authors=Aksonova, Kateryna D.; Sopin, Andrii O.; Buresova, Dalia; Zalizovski, Andriy V.; Domnin, Ihor F.
Title=Synchronous observations of traveling ionospheric disturbances by the multipoint Doppler sounding, ionosonde and the incoherent scatter radar: Case study, 2024, doi:10.1016/j.asr.2024.01.032, ID=27466216
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( BODY ) =Solar wind speed reached a peak of 558.5km/s at 01:20 UT and 523.8km/s at 18:05 UT, total IMF reached 5.08 nT at 11:55 UT and 8.86 nT at 11:25 UT, the maximum southward component of B z reached 3.98 nT at 05:55 UT and 4.25 nT at 07:00 UT for 18.09.2018 and 19.12.2018 respectively ( https://omniweb.gsfc.nasa.gov/ ). Perturbations in the auroral electrojet were as follows: AE -index reached values of about 550 nT and 400 nT near 10 UT for September and December, respectively, which corresponds to slightly enhanced solar wind speed and negative B z . 3.1 Radar measurements of ionospheric parameters The IS radar measures spatiotemporal distributions of the following ionospheric parameters: the electron T e and ion T i temperatures, the electron concentration N e , the vertical component of plasma transport velocity V z and the ion percentage.
Authors=Younas, Waqar; Khan, Majid; Amory-Mazaudier, C.
Title=Longitudinal features of day- and night-time ionospheric annual variations during the solar cycles 23 and 24, 2024, doi:10.1016/j.asr.2024.01.033, ID=27466218
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( ACK ) =The authors are thankful to the IGS Community for providing GNSS data, OMNI web data center ( http://omniweb.gsfc.nasa.gov/ ) for making available solar indices.
Authors=Akala, A. O.; Oyeyemi, E. O.; Oyedokun, O. J.; Amao, J. B.; Odeyemi, O. O.; Olugbon, B.; Patel, N.
Title=Assessment of the accuracy of IRI-2016 model at the equatorial-, low-, mid-, and high-latitudes ionosphere along 30-45oE meridian lines during minimum (2009) and maximum (2013) phases of solar cycle 24, 2024, doi:10.1016/j.asr.2024.01.046, ID=27466220
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( ACK ) =lang=en , UNAVCO: https://data.unavco.org/archive/gnss/rinex/obs/ , and International GNSS Service (IGS): https://cddis.nasa.gov/archive/gnss/data/daily/ . The FORTRAN code of IRI-Plas is available online at http://ftp.izmiran.ru/pub/ izmiran/SPIM/ .
Sample usage ( BODY ) =We excluded the PEC contributions from the GNSS-derived TEC before comparing the GNSS-TEC (i.e., the IEC) data with the TEC generated with the two options (IRI-NeQuick and IRI-Corr) of the IRI-2016 model. The IRI-NeQuick and IRI-Corr topside options of the IRI-2016 model were obtained from the IRI-model website at https://ccmc.gsfc.nasa.gov/modelweb/models/iri2016\_vitmo.php .
Sample usage ( ABSTRACT ) =This study assesses the accuracy of the International Reference Ionosphere IRI-2016 model prediction at the equatorial-, low-, mid-, and high-latitude ionosphere along 30-45oE meridian during minimum (2009) and maximum (2013) phases of solar cycle 24.
Sample usage ( TITLE ) =Assessment of the accuracy of IRI-2016 model at the equatorial-, low-, mid-, and high-latitudes ionosphere along 30-45oE meridian lines during minimum (2009) and maximum (2013) phases of solar cycle 24
Sample usage ( BODY ) =Consequent upon this, with a view to developing reliable models, the International Reference Ionosphere (IRI), a collaborative international initiative between the Committee on Space Research (COSPAR) and the International Union of Radio Science (URSI) got started.
Authors=Ahmed, O.; Badruddin, B.; Derouich, M.
Title=Characteristics and development of the main phase disturbance in geomagnetic storms (Dst - 50 nT), 2024, doi:10.1016/j.asr.2024.01.05010.48550/arXiv.2402.03261, ID=27466222
journal=Advances in Space Research
Keywords found:spdf, omni, omniweb
Sample usage ( ACK ) =Acknowledgements This study made use of data from the GSFC/SPDF OMNIWeb interface, which can be found at https://omniweb.gsfc.nasa.gov.
Sample usage ( BODY ) =We have retrieved 1-h resolution geomagnetic indices, SW plasma and field parameters from Web-based data browse and retrieval tool for the NSSDC OMNI data set 1 1 https://omniweb.gsfc.nasa.gov/ow.html ( King and Papitashvili, 2005 ).
Authors=Pradipta, Rezy; Kim, Bryce
Title=Characterizing perturbed ionospheric total electron content configurations using the Shannon information content, 2024, doi:10.1016/j.asr.2024.01.052, ID=27466223
journal=Advances in Space Research
Keywords found:spdf, space physics data facility, omni, omniweb
Sample usage ( BODY ) =The Kp and Dst indices were retrieved from the GFZ Potsdam at https://kp.gfz-potsdam.de/en/ , the Kyoto University World Data Center at https://wdc.kugi.kyoto-u.ac.jp/dstdir/ , and the NASA Space Physics Data Facility (SPDF) OMNIWeb Data Explorer at https://omniweb.gsfc.nasa.gov/form/dx1.html .
Sample usage ( BODY ) =When cross-checked with high-resolution OMNI data, it is known that the SSC had occurred at 04:45 UTC and the storm main phase had started at 07:00 UTC (e.g.
Authors=Blanco, Juan Jose; Ayuso, Sindulfo; Regadio, Alberto; Lopez-Comazzi, Alejandro; Garcia-Tejedor, Juan Ignacio; Garcia-Poblacion, Oscar; Guerrero Contreras, Carlo Luis
Title=Evolution of the cosmic ray spectrum during a Forbush decrease, 2024, doi:10.1016/j.asr.2024.02.026, ID=27466277
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( BODY ) =The five-minute averaged solar wind and interplanetary magnetic field data presented in Fig. 4 have been obtained from OMNIWeb Plus https://omniweb.gsfc.nasa.gov/ . This event corresponds with the MC type described in Blanco et al. (2013) .
Authors=Grishina, Alina S.; Shprits, Yuri Y.; Drozdov, Alexander Y.; Sinnhuber, Miriam; Haenel, Florian; Wang, Dedong; Szabo-Roberts, Matyas; Wissing, Jan Maik; Bender, Stefan
Title=Ring current electron precipitation during the 17 March 2013 geomagnetic storm: Underlying mechanisms and their effect on the atmosphere, 2024, doi:10.1016/j.asr.2024.03.010, ID=27534419
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( BODY ) =The authors used geomagnetic indices provided by OMNIWeb ( https://omniweb.gsfc.nasa.gov/ ). The IRBEM library can be found under: http://github.com/PRBEM/IRBEM/ .
Authors=Sajith Babu, S.; Unnikrishnan, K.
Title=Detection of long-range correlation causing multifractality in H time series of geomagnetic field over the Northern Hemisphere during quiet geomagnetic conditions, 2024, doi:10.1016/j.asr.2024.02.035, ID=27534421
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =The authors are thankful to WDC Kyoto, NASAs OMNIWeb service and INTERMAGNET for promoting high standards of magnetic observatory practice. The data used in this work are openly available in WDC Kyoto ( https://wdc.kugi.kyoto-u.ac.jp/wdc/Sec3.html ), INTERMAGNET ( https://www.intermagnet.org/data-donnee/download-eng.php ), NASAs OMNIWeb service ( https://omniweb.gsfc.nasa.gov/form/dx1.html ). The authors are grateful to the editor and reviewers for their valuable comments and suggestions.
Sample usage ( BODY ) =The authors are thankful to WDC Kyoto, NASAs OMNIWeb service and INTERMAGNET for promoting high standards of magnetic observatory practice. The data used in this work are openly available in WDC Kyoto ( https://wdc.kugi.kyoto-u.ac.jp/wdc/Sec3.html ), INTERMAGNET ( https://www.intermagnet.org/data-donnee/download-eng.php ), NASAs OMNIWeb service ( https://omniweb.gsfc.nasa.gov/form/dx1.html ). The authors are grateful to the editor and reviewers for their valuable comments and suggestions.
Authors=Liu, Jing; Jia, Xinyi; Wang, Zhuangkai; Zhang, Xuemin; Liu, Yi; Zhou, Chen
Title=The correlation study between EIA north crest in the south Asia region and strong earthquakes, 2024, doi:10.1016/j.asr.2024.02.044, ID=27534423
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =The parameters for conductivity calculation utilized in the simulation were adopted from international reference ionosphere (IRI) 2016 model ( Bilitza et al., 2017 ), which includes density and temperature of electron, O + , O 2 + and NO + .
Authors=Geletaw, B.; Melessew, N.; Reeves, G. D.
Title=Relativistic electron (E > 2MeV) flux driving parameters over geostationary orbit using 30 years of data, 2024, doi:10.1016/j.asr.2024.02.045, ID=27534424
journal=Advances in Space Research
Keywords found:cdaweb, spdf, omni, omniweb
Sample usage ( ACK ) =We thank NASA/GSFCs Space Physics Data Facilitys OMNIWeb (or CDAWeb) service and OMNI database. Solar wind and IMF data were obtained from GSFC/SPDF OMNIWeb interface at http://omniweb.gsfc.nasa.gov , which are derived from ACE wind, Geotail and IMP-8 solar wind plasma and magnetic field observations.
Sample usage ( ACK ) =Solar wind and IMF data were obtained from GSFC/SPDF OMNIWeb interface at http://omniweb.gsfc.nasa.gov , which are derived from ACE wind, Geotail and IMP-8 solar wind plasma and magnetic field observations.
Sample usage ( BODY ) =The daily averaged interplanetary magnetic field and solar wind parameters data in similar time frame (01 January 1990 to 31 December 2018) were used in the analysis, which come from OMNI data set provided by NASA http://omniweb.gsfc.nasa.gov/). The LANL relativistic electron flux, IMF parameters and solar wind parameters data are merged together for the analysis.
Authors=Jiang, Chunhua; An, Qianfang; Wang, Shuaimin; Nie, Wenfeng; Zhu, Huizhong; Liu, Guangsheng
Title=Accuracy assessment of the ionospheric total electron content derived from COSMIC-2 radio occultation based on multi-source data, 2024, doi:10.1016/j.asr.2024.02.051, ID=27534425
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( ACK ) =Fengyun 3C EDPs product are provided by the National Satellite Meteorological Centre (NSMC, http://satellite.nsmc.org.cn ). The IRI-2016 Fortran source code can be downloaded from the IRI website ( http://www.irimodel.org ).
Sample usage ( BODY ) =IRI is a synthesis of almost all available and reliable ionospheric data.
Sample usage ( ABSTRACT ) =To analyze the quality of Total Electron Content (TEC) from Constellation Observing System for Meteorology, Ionosphere and Climate 2 (COSMIC-2), we use TEC from ground-based GNSS, Global Ionospheric Maps (GIM), International Reference Ionosphere 2016 (IRI-2016), COSMIC-1 and Fengyun 3C. Firstly, we use the ground-based GNSS TEC from 14 stations of International GPS Service (IGS) to evaluate the accuracy of the radio occultation (RO) TEC.
Sample usage ( BODY ) =In addition, the STEC along a signal from a satellite observed at the receiver can converted to VTEC at its corresponding ionospheric pierce point (IPP) through a mapping function a mapping function under the assumption of spherical symmetry and a thin-shell structure of the ionosphere: Where R is the radius of the earth with a value of 6370.9km and H is the ionospheric thin shell altitude above the earth surface with a value of 450km, and e is the elevation angle. 2.4 IRI TEC The International Reference Ionosphere (IRI) is an international project sponsored by the Committee on Space Research and the International Union of Radio Science, with the aim of constructing an international standard for the ionospheric parameters ( Bilitza et al., 1993 ).
Authors=Kepko, Larry; Nakamura, Rumi; Saito, Yoshifumi; Vourlidas, Angelos; Taylor, Matthew G. G. T.; Mandrini, Cristina H.; Blanco-Cano, Xochitl; Chakrabarty, Dibyendu; Daglis, Ioannis A.; De Nardin, Clezio Marcos; Petrukovich, Anatoli; Palmroth, Minna; Ho, George; Harra, Louise; Rae, Jonathan; Owens, Mathew; Donovan, Eric; Lavraud, Benoit; Reeves, Geoff; Tripathi, Durgesh; Vilmer, Nicole; Hwang, Junga; Antiochos, Spiro; Wang, Chi
Title=Heliophysics Great Observatories and international cooperation in Heliophysics: An orchestrated framework for scientific advancement and discovery, 2024, doi:10.1016/j.asr.2024.01.011, ID=27534438
journal=Advances in Space Research
Keywords found:spdf
Sample usage ( BODY ) =However, some aspects of the proposed program, such as large-scale data infrastructure (e.g., SPDF and the Cluster Science Archive), universal data standards, and coordinated observational campaigns, require higher-level coordination and, in some cases, agency funding.
Authors=Ndacyayisenga, Theogene; Uwamahoro, Jean; Sasikumar Raja, Kantepalli; Uwamahoro, Jean Claude; Kwisanga, Christian; Monstein, Christian
Title=An Assessment of Solar Cycle 25 progress through observation of SRBs and associated Geomagnetic Storms, 2024, doi:10.1016/j.asr.2024.03.006, ID=28150652
journal=Advances in Space Research
Keywords found:omni
Sample usage ( ACK ) =The authors also thank the providers of all the data used from SEEDS; NOAA; GOES, OMNI, SDO, Solar Monitor and SWPC. Data access and processing was done using the Python-based Space Physics Environment Data Analysis Software (PySPEDAS) ( Grimes et al., 2019 ).
Sample usage ( BODY ) =The research was conducted using a variety of radio telescopes, especially CALLISTO, as well as OMNI data and the World Data Centre for Geomagnetism. The study finds that 23 solar radio bursts of type II, III, and IV bursts diagnose the geomagnetic storms with Dst - 50 nT among 35 storms reported of SC 25.
Sample usage ( ABSTRACT ) =The study used various radio telescopes, mainly the compound astronomical low-frequency low-cost instrument for spectroscopy and transportable observatory (CALLISTO), as well as OMNI data and the World Data Center for Geomagnetism. During the study period, it was found that 23 solar radio bursts diagnosed the geomagnetic storms with Dst <-50nT from 35 reported, including three severe storms of the SC 25.
Authors=Ghag, Kalpesh; Raghav, Anil; Bhaskar, Ankush; Soni, Shirsh Lata; Sathe, Bhagyashri; Shaikh, Zubair; Dhamane, Omkar; Tari, Prathmesh
Title=Quasi-planar ICME sheath: A cause of the first two-step extreme geomagnetic storm of the 25th solar cycle observed on 23 April 2023, 2024, doi:10.1016/j.asr.2024.03.01110.48550/arXiv.2305.05381, ID=28150654
journal=Advances in Space Research
Keywords found:cdaweb, omni
Sample usage ( ACK ) =The data are publicly available at Coordinated Data Analysis Web (CDAWeb) https://cdaweb.gsfc.nasa.gov/pub/data/wind/ . We acknowledge use of the NASA/GSFC for data availability.
Sample usage ( BODY ) =To analyze interplanetary structures that cause the disturbance in the magnetosphere, we have used data from OMNI database 1 1 Available at https://cdaweb.gsfc.nasa.gov/ . It provides interplanetary plasma and magnetic field data which is time-shifted data at Earths bow-shock nose.
Sample usage ( ACK ) =Acknowledgement The utilised data in this analysis is taken from OMNI database. The data are publicly available at Coordinated Data Analysis Web (CDAWeb) https://cdaweb.gsfc.nasa.gov/pub/data/wind/ .
Authors=Pancheva, Dora; Mukhtarov, Plamen; Bojilova, Rumiana
Title=Response to geomagnetic storm on 23-24 March 2023 long-lasting longitudinal variations of the global ionospheric TEC, 2024, doi:10.1016/j.asr.2024.03.023, ID=28150695
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =The parameters of the solar wind the PI-index are provided by: http://www.swpc.noaa.gov/ , while those of the Dst-index and the 3-hourly Kp-index are downloaded from: https://omniweb.gsfc.nasa.gov/form/dx1.html . The images of the thermospheric [O/N2] ratios obtained with the spectrograph GUVI on board of the TIMED satellite are provided by: http://guvitimed.jhuapl.edu/data\_products .
Sample usage ( BODY ) =The data are provided by: https://omniweb.gsfc.nasa.gov/form/dx1.html . The 2324 March geomagnetic storm can be classified as severe in terms of D st (D st -index 160 nT) and K p (K p -index reaches 8).
Authors=Paul, Krishnendu Sekhar; Haralambous, Haris; Oikonomou, Christina
Title=Ionospheric response of the March 2023 geomagnetic storm over European latitudes, 2024, doi:10.1016/j.asr.2024.03.026, ID=28150696
journal=Advances in Space Research
Keywords found:omni, omniweb, iri, international reference ionosphere
Sample usage ( ACK ) =Acknowledgement We are thankful to NASA/GSFCs Space Physics Data Facilitys OMNIWeb ( https://omniweb.gsfc.nasa.gov/ ) service and OMNI data for providing the geomagnetic data and the Digital Ionogram DataBase (DIDBase) of the Global Ionospheric Radio Observatory (GIRO) portal ( http://giro.uml.edu ) for the ionograms and the International GNSS Service (IGS) ( http://igs.org/ ) and the EUREF Permanent Network ( http://www.epncb.oma.be/ ) for providing ionospheric and GNSS datasets for March 22-25 2023.
Sample usage ( BODY ) =The geomagnetic conditions are depicted through a high-resolution (1min) OMNI dataset obtained from the Goddard Space Flight Center ( https://omniweb.gsfc.nasa.gov/ ). 3 Geomagnetic activity Geomagnetic activity conditions during 2225 March 2023 were characterised (as shown in Fig. 2 ) as complex mainly due to the occurrence of multiple solar flares and storm-related activity that led to successive minima of SYM/H on 24 March. The data for the geomagnetic activity from 22 to 25 March 2023 were downloaded from OMNIweb ( https://omniweb.gsfc.nasa.gov/html/ow_data.html ). The Low-Resolution OMNI (LRO) data set is primarily a 1963-to-current compilation of hourly-averaged, near-Earth solar wind magnetic field and plasma parameter data from several spacecraft in geocentric or L1 (Lagrange point) orbits.
Sample usage ( BODY ) =For instance, the International Reference Ionosphere (IRI) empirical model which provides monthly averages of the electron density and other ionospheric characteristics at a certain location, incorporates a foF2 storm-time correction model that adapts ionospheric deviations with the geomagnetic disturbance index ( Bilitza et al., 2022 ).
Authors=Alemu, Getahun Berhanu; Ejigu, Yohannes Getachew
Title=Prediction of ionospheric total electron content over low latitude region: Case study in Ethiopia, 2024, doi:10.1016/j.asr.2024.03.062, ID=28997652
journal=Advances in Space Research
Keywords found:omni, omniweb, iri, international reference ionosphere
Sample usage ( BODY ) =In this study, the hourly Bz, Pd, Kp, SSN, Dst index, and F10.7 values are downloaded from the National Aeronautics and Space Administration (NASA)s omni Website 2 2 https://omniweb.gsfc.nasa.gov/form/dx1.html . The Earths daily rotation and yearly revolution also affect the number of free electrons per unit volume at a certain point in the ionosphere ( Ren et al., 2022 ).
Sample usage ( BODY ) =Under the high solar activity phase, the IRI-2016 model overestimates the diurnal, monthly, and seasonal mean TEC values, according to Endeshaw (2020) study of TEC variations over the northern Ethiopian region using GPS TEC and IRI-2016 model.
Sample usage ( ABSTRACT ) =We used a machine learning (ML) algorithm based on the Support Vector Machine (SVM), Long Short-Term Memory (LSTM) Neural Network (NN), and International Reference Ionosphere 2016 (IRI 2016) models to predict the hourly TEC over Ethiopia during quiet and storm geomagnetic conditions.
Sample usage ( BODY ) =It is promising solutions for problems in which the functional relationship between the input variables and the output parameter is unknown relative to physical models, and statistical models ( Santosa and Hendy, 2018; Tovar et al., 2020; Zewdie et al., 2021 ). The International Reference Ionosphere (IRI) empirical model sponsored by the Committee on Space Research (COSPAR) and the International Union of Radio Science (URSI) has also been used to estimate TEC.
Authors=Tang, Jun; Liu, Chang; Yang, Dengpan; Ding, Mingfei
Title=Prediction of ionospheric TEC using a GRU mechanism method, 2024, doi:10.1016/j.asr.2024.03.050, ID=28997655
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =Fig. 4 is the structural framework of GRU neural network model. 3 Results and analysis To assess the prediction accuracy of GRU model in ionospheric TEC forecasting, IRI model and LSTM model are selected for comparative analysis. IRI model uses the offline version of IRI-2016 model (Fortran language, Simply Fortran software) provided by the official website of IRI to predict the TEC data of 2018.
Sample usage ( ABSTRACT ) =Comparative experiments are carried out with the international reference ionosphere (IRI) model and the long short-term memory (LSTM) model. The results show that the GRU model outperforms other models in terms of accuracy.
Sample usage ( BODY ) =Empirical model is based on the analysis of a large number of ionospheric observation data, enabling the characterization of temporal and spatial variations in the ionosphere and facilitating the establishment of an empirical ionospheric model, including the Koubuchar model ( Yuan et al., 2008; Pongracic et al., 2019 ), NeQuick model ( Song et al., 2018 ) and international reference ionosphere IRI model ( Bilitza et al., 2017; Liu et al., 2019 ).
Authors=Li, Dengao; Jin, Yan; Wu, Fanming; Zhao, Jumin; Min, Pengfei; Luo, Xinyu
Title=A hybrid model for TEC prediction using BiLSTM and PSO-LSSVM, 2024, doi:10.1016/j.asr.2024.03.063, ID=28997658
journal=Advances in Space Research
Keywords found:spdf, space physics data facility, omniweb, iri
Sample usage ( BODY ) =Other experimental data used in this study is sourced from NASA’s Space Physics Data Facility (SPDF) through the data access and orbit services of OMNIWEB ( https://OMNIWEB.gsfc.nasa.gov/form/dx1 ).
Sample usage ( BODY ) =The ionospheric empirical and semi empirical physical parameter models include the Klobuchar model ( Codrescu et al., 2001 ), the Bent model ( Atici, 2018 ), as well as the International Organization for Standardization (ISO)‘s ionospheric standard empirical model IRI model ( Oru et al., 2008 ), which provides a three-dimensional specification long-term prediction model for ionospheric electron density, such as the NeQuick model ( Yu et al., 2023 ). At present, the IRI-2016 model and NeQuick-2 model are often used for predicting ionospheric parameters and serve as platforms for ionospheric TEC estimation.
Authors=Sabbatini, Federico; Grimani, Catia; Calegari, Roberta
Title=Bridging machine learning and diagnostics of the ESA LISA space mission with equation discovery via explainable artificial intelligence, 2024, doi:10.1016/j.asr.2024.04.041, ID=28997678
journal=Advances in Space Research
Keywords found:cdaweb
Sample usage ( BODY ) =We collected LPF GCR hourly-binned measurements (input data) and from the CDAWeb website 1 1 https://cdaweb.gsfc.nasa.gov/. hourly observations of the solar wind speed (output data) and of the IMF intensity (input data) carried out with ACE.
Authors=Asamoah, Eric Nana; Cafaro, Massimo; Epicoco, Italo; Franceschi, Giorgiana De; Cesaroni, Claudio
Title=A stacked machine learning model for the vertical total electron content forecasting, 2024, doi:10.1016/j.asr.2024.04.055, ID=28997685
journal=Advances in Space Research
Keywords found:cdaweb, iri, international reference ionosphere
Sample usage ( BODY ) =The external drivers used in this study ( Table 1 ) are downloaded from https://cdaweb.gsfc.nasa.gov for the period under consideration (January 2006 - December 2018).
Sample usage ( BODY ) =The most well-known empirical model of the ionospheric environment is the International Reference Ionosphere (IRI) ( Bilitza, 2001 ). NeQuick, NeQuick-G, IRI-Plas, adaptive autoregressive models are some additional examples of the empirical models used by the scientific community ( Nava et al., 2006; Bilitza et al., 2017 ).
Authors=Li, Na; Chen, Jinsong; Tang, Zhimei; Zhao, Lei; Ding, Zonghua; Wang, Feifei
Title=An empirical modeling of the D region ionosphere based on F107, 2024, doi:10.1016/j.asr.2024.03.081, ID=29071894
journal=Advances in Space Research
Keywords found:omniweb, iri, international reference ionosphere
Sample usage ( BODY ) =The daily F107 is download from the web site: https://omniweb.gsfc.nasa.gov/form/dx1.html with the same period as N e observations from MF radar. 3 An empirical model to N e in the D region 3.1 Correlation between N e and F 107 Due to the need for some repairments and maintenance for MF radar, the N e from 2016 to 2019 has more breakpoints, or the data continuity is poor, so the data for this period is not utilized in this study.
Sample usage ( BODY ) =Simulations from the international reference ionosphere (IRI) and observations from Kunming MF radar are utilized to be compared with this physical model, which shows that there are obvious discrepancies between the model and observations.
Authors=Rather, Mohammad Rafeeq; Bhat, Aashiq Hussain; Ramkumar, T. K.; Malik, Manzoor A.
Title=Exploring the link between convectively generated gravity waves and ionospheric anomalies: Insights from observations near the low-mid latitude geomagnetic transition region, 2024, doi:10.1016/j.asr.2024.04.027, ID=29071897
journal=Advances in Space Research
Keywords found:spdf, space physics data facility
Sample usage ( ACK ) =We are also thankful to various organizatons for ICON/MIGHTI wind data which is available at the Space Physics Data Facility ( https://spdf.gsfc.nasa.gov/pub/data/icon/ ) and also thankful to organizations for SAMI3 ionosphere model data which could be found at https://ccmc.gsfc.nasa.gov/models/SAMI33.22 .
Authors=Barman, Kheyali; Das, Bakul; Pal, Sujay; Haldar, Prabir Kumar; Midya, Subrata Kumar; Pal, Sabyasachi; Mondal, Sushanta Kumar
Title=D-region ionospheric disturbances due to the December 2019 solar eclipse observed using multi-station VLF radio network, 2024, doi:10.1016/j.asr.2024.04.049, ID=29071925
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =The ambient electron density maps for 75km and 85km altitudes are obtained at three different times (3:45 UT, 4.00 UT, and 4.15 UT) over the Indian sub-continent from the International Reference Ionosphere (IRI-2016) model on 25th December (quiet day). The solar obscuration maps at those three times are also calculated at ionospheric heights.
Authors=Tang, Jun; Liu, Chang; Fan, Cihang
Title=Forecasting ionospheric TEC using least squares support vector machine and moth-flame optimization methods in China, 2024, doi:10.1016/j.asr.2024.04.053, ID=29071927
journal=Advances in Space Research
Keywords found:omniweb, iri, international reference ionosphere
Sample usage ( ACK ) =The authors would like to thank the GNSS observation data provided by Crustal Movement Observation Network of China, and OMNIWeb for providing Ap, Kp, Dst, and F10.7 data.
Sample usage ( BODY ) =To verify the advantages of the MFO_LSSVM model in ionospheric TEC prediction, this paper selects the IRI model, SVM model and LSSVM model for comparative analysis. IRI uses the offline version of the IRI-2016 model (Fortran language, Simply Fortran software) provided by the official website of IRI to predict the TEC data for 2015 and 2019.
Sample usage ( ABSTRACT ) =The results show that the prediction performance of the MFO_LSSVM model is significantly better than that of the IRI model, SVM model, and LSSVM model. Compared with the other three models, there are more stable prediction results in the low and high solar activity years.
Sample usage ( BODY ) =Long-term prediction models forecast the monthly mean or median ionospheric TEC values based on ionosphere characteristics and the predicted Solar Activity Index, such as the Bent model( Bent, 1992; Meza et al., 2002 ), the Klobuchar model ( Wang et al., 2016 ), and the International Reference Ionosphere (IRI) model ( Bilitza et al., 2014; 2018 ). The short-term forecast is the forecast of the TEC value of logarithmic hours or days, and the quantitative analysis of the short-term TEC.
Authors=Salah, Hager M.; Babatunde, Rabiu; Okoh, Daniel; Youssef, M.; Mahrous, Ayman
Title=Machine learning approach for prediction of ionospheric irregularities on ROTI index over the Northern anomaly crest in Egypt during solar cycle 24, 2024, doi:10.1016/j.asr.2024.05.022, ID=29199619
journal=Advances in Space Research
Keywords found:omni, omniweb, iri, international reference ionosphere
Sample usage ( ACK ) =The authors would like to direct their thankfulness to the Community Coordinated Modeling Center for supplying IRI-2016 ionospheric parameters. We are grateful to NASA OMNI-web for supporting the solar and geomagnetic indices and to the Geomagnetic Data Service operated by WDC for Geomagnetism, Kyoto University, for providing the international quiet and disturbed days.
Sample usage ( BODY ) =All solar and geomagnetic data were collected from the Omni web interface ( https://omniweb.gsfc.nasa.gov/ ) of the National Aeronautics and Space Administration’s Goddard Space Flight Center (NASA’s GSFC). 2.1.3 IRI data As the F layer is an essential ionospheric irregularity phenomenon, some parameters were included in this research as additional and novel factors affecting the irregularities using data from the International Reference Ionosphere (IRI-2016).
Sample usage ( BODY ) =The IRI is an empirical model created utilizing available data worldwide.
Sample usage ( ABSTRACT ) =To support learning, we included IRI-foF2 and IRI-hmF2 parameters in the input layer neurons to improve the model learning about the behavior of the ionospheric F layer.
Sample usage ( BODY ) =We presented a new technique that adds a new neuron to the network’s input layer by using the critical plasma frequency (foF2) and the F2 peak electron density height (hmF2) parameters from the International Reference Ionosphere (IRI-2016) to simulate the F2 ionospheric variations. 2 Data analysis and methodology 2.1 Data acquisition and processing 2.1.1 SCINDA GPS data The ground-based GPS receiver was used to collect the data for this study from the scintillation network and decision aid system (SCINDA), which operates at UHF and frequencies of L-band triggered by irregularities in the density of electrons in the equatorial region ( Groves et al., 1997 ).
Authors=Priyadarshi, Shishir
Title=Prediction of high latitude nightside Geomagnetic Field Disturbances (GGFDs) during the 9-March-2012 geomagnetic storm using Recurrent Neural Network (RNN), 2024, doi:10.1016/j.asr.2024.05.036, ID=29199640
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( BODY ) =Section 4 summarizes and concludes our results. 2 Data 2.1 SuperMAG and OMNI solar wind data We use the SuperMAG geomagnetometer data downloaded from https://supermag.jhuapl.edu .
Sample usage ( BODY ) =We also use the NASA OMNI solar wind and interplanetary magnetic field (IMF) data downloaded from https://omniweb.gsfc.nasa.gov . We use the OMNI solar wind density, and IMF obtained from the past and current spacecraft missions, such as IMP8, Wind, Geotail, ACE, and DSCOVR.
Sample usage ( ABSTRACT ) =We use the high latitude geomagnetic field data from SuperMAG and the solar wind particle and magnetic field data from NASA-OMNIWeb. We divide the high latitude night side of Earth’s globe into multiple sectors and obtain a time series of maximum geomagnetic disturbances observed in each sector.
Authors=Saqib, Mohd; Senturk, Erman; Arqim Adil, Muhammad; Freeshah, Mohamed
Title=Seismo-ionospheric precursory detection using hybrid Bayesian-LSTM network model with uncertainty-boundaries and anomaly-intensity, 2024, doi:10.1016/j.asr.2024.05.023, ID=29199643
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =The authors are very grateful to IGS data is open access on ( https://igs.org/data/ ) for providing GNSS data, NASA for providing space weather indices ( https://omniweb.gsfc.nasa.gov/form/dx1.html ). We also gratefully acknowledge the MATrix LABoratory (MATLAB) software ( https://matlab.mathworks.com/ ).
Authors=Chernogor, Leonid F.; Mylovanov, Yurii B.; Zhdanko, Yevhen H.
Title=Response of total electron content to the October 25, 2022 partial solar eclipse from high to low latitudes in the Euro-Asian region, 2024, doi:10.1016/j.asr.2024.05.020, ID=29199647
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =The solar wind parameters and geomagnetic indices were retrieved from Goddard Space Flight Center ( https://omniweb.gsfc.nasa.gov ). The signal data recorded and satellite orbital parameters were taken from https://cddis.nasa.gov/Data\_and\_Derived\_Products/GNSS .
Sample usage ( BODY ) =Basic information on the SE for characteristic overflights is given in Table 1 . 3 Analysis of the state of space weather Data retrieved from ( https://omniweb.gsfc.nasa.gov/form/dx1.html ) were used to analyze the space weather state and to construct Fig. 2 .
Authors=M. Salah, Hager; Babatunde, Rabiu; Okoh, Daniel; Youssef, M.; Mahrous, Ayman
Title=Machine learning approach for prediction of ionospheric irregularities on ROTI index over the Northern anomaly crest in Egypt during solar cycle 24, 2024, doi:10.1016/j.asr.2024.05.022, ID=31521539
journal=Advances in Space Research
Keywords found:iri
Sample usage ( ABSTRACT ) =To support learning, we included IRI-foF2 and IRI-hmF2 parameters in the input layer neurons to improve the model learning about the behavior of the ionospheric F layer.
Authors=Jonker, J. R.; Cervera, M. A.; Harris, T. J.; Holdsworth, D. A.; MacKinnon, A. D.; Neudegg, D.; Reid, I. M.
Title=Doppler variations in radar observations of resident space objects: Likely ionospheric Pc1 plasma waves, 2024, doi:10.1016/j.asr.2024.06.009, ID=29199608
journal=Advances in Space Research
Keywords found:international reference ionosphere
Sample usage ( BODY ) =The effect of collisions is to cause the refractive index to become complex with the imaginary component responsible for absorption of the radio waves which not of interest here. The International Reference Ionosphere (IRI2020) ( Bilitza et al., 2022 ) and International Geomagnetic Reference Field (IGRF) ( Alken et al., 2021 ) were used to specify a typical model ionosphere and geomagnetic field vertical profile at the BPST VHF radar from the base of the ionosphere (60km) up to an altitude of 1000km for 15 March 2021 at 02:30UTC (local noon).
Authors=Zhao, Dongsheng; Cui, Shuanglei; Zhang, Xueli; Li, Longjiang; Sun, Peng; Bian, Chaofa; Ban, Wei; Hancock, Craig M.; Wang, Qianxin; Zhang, Kefei
Title=Analysis of global ionospheric scintillation and GPS positioning interference triggered by full-halo CME-driven geomagnetic storm: A case study, 2024, doi:10.1016/j.asr.2024.06.001, ID=29199628
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =IGS data from National Aeronautics and Space Administration ( https://cddis.nasa.gov/ ), CMEs speed ( https://cdaw.gsfc.nasa.gov/CME\_list/ ) and solar wind speed ( https://space.umd.edu/pm/ ) from Solar and Heliospheric Observatory, IMF Bz index from the Goddard Space Flight Center ( https://omniweb.gsfc.nasa.gov/ ), SYM-H index from World Data Center for Geomagnetism, Kyoto ( https://wdc.kugi.kyoto-u.ac.jp/wdc/Sec3.html ), Kp index from German Research Center for Geosciences ( ftp://ftp.gfz-potsdam.de/ ).
Authors=Wang, Jian; Han, Han; Shi, Yafei; Yang, Cheng; Liu, Yiran; Wang, Zequan
Title=Comparison and validation of MOF observations and MUF predictions from seven different models, 2024, doi:10.1016/j.asr.2024.05.060, ID=29199633
journal=Advances in Space Research
Keywords found:iri
Sample usage ( BODY ) =For example, Malik et al. analyzed the HF operating frequencies in Peninsular Malaysia and compared the HF operating frequency performance using the IRI model ( Agarushev and Agarushev, 2018 ), ASAPS ( Malik et al., 2016 ), and ICEPAC ( Malik et al., 2018 ).
Authors=Hameed, Amna; Shah, Munawar; Ghaffar, Bushra; Riaz, Salma; Jamjareegulgarn, Punyawi; Alarifi, Nassir Saad; Abukhadra, Mostafa R.
Title=Possible atmospheric-ionospheric precursors of the 2020 Hotan China earthquake from various satellites, 2024, doi:10.1016/j.asr.2024.06.016, ID=30699691
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( ACK ) =Additionally, appreciation is extended to OMNI Web NASA, NOAA, and Kyoto University for supplying space weather data.
Sample usage ( BODY ) =To detect any solar storm occurrence before and after the seismic event, we retrieved the data on Kp (the intensity of geomagnetic activity on a planetary scale), Dst (disturbance storm time index, nT), and solar index F10.7 (sfu=10 -22 Wm -2 Hz 1 ). The data were retrieved via OMNIWEB ( https://omniweb.gsfc.nasa.gov/hw.html ). 3.7 Total electron content GNSS based TEC is an important index for the quantification of ionospheric variations to measure the total number of electrons along the path between 2 points in ionosphere expressed as electrons per square meter, where 10 16 electrons/ m 2 =1 TEC unit (TECU).
Authors=Das, Shyamleena; Maity, Sovan Kumar; Nanda, Kousik; Jana, Shreyam; Brawar, Bhuvnesh; Panchadhyayee, Pradipta; Datta, Abhirup; Sasmal, Sudipta
Title=Study of the response of the upper atmosphere during the annular solar eclipse on October 14, 2023, 2024, doi:10.1016/j.asr.2024.06.021, ID=30699692
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =The authors also acknowledge the team members of the database of IGS, Swarm, GIM, GIRO, and NASA Omniweb for various data that have been used in this article. PP acknowledges the facilities of the Research Centre in Natural Sciences, Prabhat Kumar College, Contai.
Sample usage ( BODY ) =To examine this, we present the hourly variation of Dst, Kp index, Ap index, solar flux (F10.7) Lyman alpha, and IMFBz from October 11 to October 17, 2023, as obtained from the NASA OMNIweb data archive ( https://omniweb.gsfc.nasa.gov/ website ). Fig. 10 shows that the maximum Dst value was 30 nT and the minimum Dst value was 5 nT during the observation time, and on eclipse day, it fluctuated between 5 and 20 nT.
Authors=Rajana, Siva Sai Kumar; Panda, Sampad Kumar; Jade, Sridevi; Vivek, Chiranjeevi G.
Title=Morphology of equatorial F-region irregularities over the Indian longitude sector using GPS-derived ROTI observations, 2024, doi:10.1016/j.asr.2024.06.039, ID=30699693
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( BODY ) =Geomagnetic indices and interplanetary parameters are downloaded from the NASA-OMNI website ( https://omniweb.gsfc.nasa.gov/ ). This research work is funded by CSIR-4PI grant OLP-0005 .
Authors=Mishev, Alexander; Larsen, Nicholas; Asvestari, Eleanna; Saiz, Alejandro; Ann Shea, Margaret; Strauss, Du Toit; Ruffolo, David; Banglieng, Chanoknan; Seunarine, Surujhdeo; Duldig, Marc L.; Gil, Agnieszka; Blanco, Juan Jose; Garcia-Poblacion, Oscar; Cervino-Solana, Pablo; Adams, James H., Jr.; Usoskin, Ilya
Title=Anisotropic Forbush decrease of 24 March 2024: First look, 2024, doi:10.1016/j.asr.2024.08.027, ID=31167435
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =Information about the heliospheric conditions and sudden storm commencement are from https://omniweb.gsfc.nasa.gov and https://www.obsebre.es . This study was partly supported by the Research Council of Finland (project 330063 QUASARE and 354280 GERACLIS).
Sample usage ( BODY ) =As seen in Fig. 2 , hourly averaged IMF strength reached its maximum at 19 UT and maximum solar wind speed at 21 UT (30.8 nT and 855km s 1 respectively ( https://omniweb.gsfc.nasa.gov/ ). Before the FD, the IMF B z component was negative, with the lowest value of 15.8 nT at 15 UT, but during most of the event period, it was northward directed.
Authors=Sierra-Porta, D.; Petro-Ramos, J. D.; Ruiz-Morales, D. J.; Herrera-Acevedo, D. D.; Garcia-Teheran, A. F.; Tarazona Alvarado, M.
Title=Machine learning models for predicting geomagnetic storms across five solar cycles using Dst index and heliospheric variables, 2024, doi:10.1016/j.asr.2024.08.031, ID=31167442
journal=Advances in Space Research
Keywords found:omni, omni2, omni-2, omniweb
Sample usage ( BODY ) =OMNI2 was developed at the NSSDC (National Space Science Data and Services Center) in 2003 as an evolution of the OMNI data set, initially created in the mid-1970s. These data are collected from various NASA space missions, including: IMP 1, 3, 4, 5, 6, 7, 8 ( Fairfield et al., 1981; Paularena and King, 1999 ), these space probes, also known as Explorers, have contributed significantly to the collection of data on the interplanetary environment near Earth orbit; WIND ( Ogilvie and Desch, 1997; Wilson et al., 2021 ), is a space mission equipped with a magnetometer, has provided detailed measurements of the solar wind and the interplanetary magnetic field; ACE (Advanced Composition Explorer) ( Garrard et al., 1998; Chiu et al., 1998 ) which is a space probe that has collected precise measurements of solar wind and energetic particles from its orbit around the L1 Lagrange point; and Geotail ( Frank, 1994; Schmidt et al., 1995 ), a joint mission between JAXA (Japan Aerospace Exploration Agency) and NASA; among others.
Sample usage ( BODY ) =This offers a more comprehensive understanding of the factors influencing GmS and enhances predictive accuracy beyond traditional correlational analyses. 2 Data used in this study: predictors for geomagnetic storms The data used in this study are from the OMNI2 dataset, which is available in the https://omniweb.gsfc.nasa.gov/ directory of the NASA OMNIWEB website. These data comprise hourly mean values of the interplanetary magnetic field (IMF), solar wind plasma parameters, and various geomagnetic and solar activity indices, as well as energetic proton fluxes. OMNI2 was developed at the NSSDC (National Space Science Data and Services Center) in 2003 as an evolution of the OMNI data set, initially created in the mid-1970s.
Authors=He, Lina; Zhu, Qinghao; Wang, Cheng
Title=Comprehensive analysis of the equatorial ionization anomaly based on global ionospheric maps with a high spatiotemporal resolution, 2024, doi:10.1016/j.asr.2024.06.047, ID=31167445
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =Karpachev (2021) compared the foF2 distribution in EIA region obtained from the International Reference Ionosphere (IRI) model with measurements from the Interkosmos 19 satellite. They found significant discrepancies between the IRI model and satellite observations, with the model inadequately reproducing major nighttime peaks.
Authors=He, Liming; Liu, Zhixiang; He, Ronghua; Qu, Zhenglin; Zhang, Yu; Qin, Zenghui
Title=Statistical study of BDS-2/BDS-3 satellite signal quality and positioning accuracy during weak and moderate geomagnetic storms, 2024, doi:10.1016/j.asr.2024.06.050, ID=31167446
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =We downloaded the geomagnetic indices from OMNIWeb (https://omniweb.gsfc.nasa.gov/form/dx1.html).
Authors=Akhoondzadeh, Mehdi
Title=Earthquake prediction using satellite data: Advances and ahead challenges, 2024, doi:10.1016/j.asr.2024.06.054, ID=31167447
journal=Advances in Space Research
Keywords found:iri
Sample usage ( BODY ) =The analysis analysis shows that the calculation of the differences between the values of the satellite magnetic field sensors and IGRF (International Geomagnetic Reference Field) model is an appropriate method to eliminate the unwanted variations due to the satellite orbitography and geographic location. However, IRI model cannot precisely predicts the variations of the electron density and temperature, since these two parameters are highly variable based on the time, geographic location and magnetic activity.
Authors=Klimov, P. A.; Nikolaeva, V. D.; Saraev, R. E.; Shchelkanov, K. D.; Belov, A. A.; Kozelov, B. V.; Murashov, A. S.; Roldugin, A. V.; Sharakin, S. A.
Title=Microbursts of the UV atmospheric emission in the auroral zone, 2024, doi:10.1016/j.asr.2024.06.060, ID=31167448
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( ACK ) =We acknowledge use of NASA/GSFCs Space Physics Data Facilitys OMNIWeb service, and OMNI data for IMF and SW data, K P index ( https://omniweb.gsfc.nasa.gov/ow.html , accessed on 07 January 2024).
Sample usage ( BODY ) =The model is based on the DMSP particle data for two solar cycles and normalized on the OMNI solar wind (SW) parameters in the following form ( Newell et al., 2007 ) N=v 4/3 B T 2/3 sin 8/3 ( /2), where v is the SW speed; B T is the interplanetary magnetic field (IMF) tangential component, B T =(B Z 2 +B Y 2 ) 1/2 ; is the IMF clock angle, =arctan(B Y /B Z ).
Authors=Ray, Sayak; Senapati, Batakrushna; Kundu, Bhaskar; Heki, Kosuke
Title=A global perspective on the interaction between Earth’s magnetic field and ionospheric disturbances, 2024, doi:10.1016/j.asr.2024.06.072, ID=31167449
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( BODY ) =Thus, it appears that the events that occurred in the mid-latitudes of the southern and northern hemispheres show strong single-beam directivity in TIDs, whereas the events situated in the polar and equatorial regions show omni-directional and dual-beam directivity. However, we acknowledge that to represent the specific signature of TEC anomaly and attenuation in a geographical region (except for the polar region), the role of geomagnetic I and D are equally important for governing three-dimensional TEC anomaly.
Sample usage ( BODY ) =The space weather datasets are archived from OmniWeb ( https://omniweb.gsfc.nasa.gov/form/dx1.html ). All these datasets have been presented in Supplementary Table S1 . 3 Results and discussions 3.1 Observations: traveling ionospheric disturbances (TIDs) Impulsive forcing from the Earth’s surface occurring due to natural or anthropogenic hazards (e.g., earthquakes, nuclear explosions, volcanic eruptions, tsunamis, or mine blasts etc.) induce atmospheric pressure waves that can be characterised as AW or IGW depending on their frequencies ( Fig.
Authors=Chettri, Kusum; Prasad, Punam Kumari; Chatterjee, Prasanta; Saha, Asit
Title=Dynamics of nonlinear ion-acoustic waves in Venus’ upper ionosphere, 2024, doi:10.1016/j.asr.2024.06.073, ID=31167450
journal=Advances in Space Research
Keywords found:omni
Sample usage ( BODY ) =Recently Shah et al. (2020) observed wave phenomena using multiple satellites associated with OMNI at a distance of 1 astronomical unit (AU) during January 1 to 31, 2015.
Authors=Katsavrias, C.; Aminalragia-Giamini, S.; Nasi, A.; Papadimitriou, C.; Daglis, I. A.
Title=Parameterization of the spatial and temporal distribution of radial diffusion coefficients in the outer Van Allen belt, 2024, doi:10.1016/j.asr.2024.06.074, ID=31167451
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =Acknowledgments The authors acknowledge NASA/GSFCs Space Physics Data Facilitys OMNIWeb service and data ( https://omniweb.gsfc.nasa.gov/ ) and the SafeSpace database ( https://synergasia.uoa.gr/modules/document/?
Sample usage ( BODY ) =Complementary 1-h resolution historical measurements of Solar and solar wind parameters are also used and obtained from the NASA OMNIWeb database [ https://omniweb.gsfc.nasa.gov ]. In detail, we use the speed, number density and dynamic pressure of the solar wind (V SW , Np and P SW , respectively), the Interplanetary Magnetic Field (IMF), the Solar flux at 10.7cm and the Sunspot number (Rz).
Authors=Jiang, Fang; Mao, Tian; Fu, LiPing; Wang, Jin-Song
Title=Triple Ionosophere PhotoMeter onboard Fengyun-3E satellite: Data validation and ionosphere information extraction, 2024, doi:10.1016/j.asr.2024.06.079, ID=31167452
journal=Advances in Space Research
Keywords found:cdaweb
Sample usage ( BODY ) =To confirm the peaks were due to the equatorial arcs, GPS TEC data from https://cdaweb.gsfc.nasa.gov/ were resampled at the TRIPM data location and time.
Authors=Emmela, Suneetha; Rama Lahari, V.; Anusha, B.; Bhavana, D.; Yasyukevich, Yury V.; Demyanov, Vladislav V.; Venkata Ratnam, D.
Title=Global ionospheric total electron content short-term forecast based on Light Gradient Boosting Machine, Extreme Gradient Boosting, and Gradient Boost Regression, 2024, doi:10.1016/j.asr.2024.07.012, ID=31167454
journal=Advances in Space Research
Keywords found:omniweb, iri
Sample usage ( ACK ) =The Dst index data are taken from https://omniweb.gsfc.nasa.gov/form/dx1.html and Mg-II index data from http://www.iup.uni-bremen.de/UVSAT/datasets/mgii .
Sample usage ( BODY ) =Disturbed storm time index (Dst) is retrieved from https://omniweb.gsfc.nasa.gov/form/dx1.html , the composite index Mg-II is obtained from https://www.iup.uni-bremen.de/UVSAT/datasets/mgii .
Sample usage ( BODY ) =Ionospheric global mean TEC measurements of GEONET data for the period of 25years (19972021) are utilized for the study analysis. IRI-2016 is the most widely used model proposed for international applications by the Committee on Space Research (COSPAR) and the International Union of Radio Science (URSI), which is mainly used to specify the ionospheric parameters. The model provides accurate estimates of ionospheric delays of radio signals propagated. And hence, IRI-2016 global mean TEC time series data is used in the study analysis for the performance evaluation of the three machine learning algorithms.
Authors=Wang, ZhaoXia; Liu, YongXin; Zhang, Hui; Wang, LingLin
Title=Error analysis and correction of atmospheric disturbance for interferometric imaging radar altimeter, 2024, doi:10.1016/j.asr.2024.06.083, ID=31167463
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =Miao et al. (2021) established the TEC scale factors using the peak height of the electron density as provided by the IRI-2016 model values. Chen et al. (2020) proposed a correction algorithm of atmospheric slant range delay for the Tiangong-2 InIRA based on a numerical weather model.
Sample usage ( BODY ) =In terms of ionospheric delay, the widely used models include Chapman ( Fabricio et al., 2017 ), NeQuick ( Wang et al., 2023 ), International reference ionosphere (IRI) ( Wu et al., 2022; Zhu et al., 2022 ), SPIM/IRI-Plas 2017 ( Reddybattula and Panda, 2019 ) et al.
Authors=Boschini, M. J.; Cavallotto, G.; Della Torre, S.; Gervasi, M.; La Vacca, G.; Rancoita, P. G.; Tacconi, M.
Title=Fast and accurate evaluation of deep-space galactic cosmic ray fluxes with HelMod-4/CUDA, 2024, doi:10.1016/j.asr.2024.04.021, ID=31521560
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( BODY ) =We acknowledge the use of NASA/GSFCs Space Physics Data Facilitys OMNIWeb service and OMNI data. We would also like to thank Prof. D. Besozzi and Prof.
Authors=Phillip, Opio; Claude, Uwamahoro Jean; Geoffrey, Andima; Edward, Jurua
Title=Comparative analysis of the GNSS-TEC methods for determining effective height of the ionosphere, 2024, doi:10.1016/j.asr.2024.07.022, ID=31639345
journal=Advances in Space Research
Keywords found:iri
Sample usage ( ACK ) =The authors are grateful to the Crustal Dynamics Data Information System (CDDIS) of the International GNSS Services (IGS) for providing access to the GNSS observation data, Global Ionospheric Maps (GIMS) on-line, the Community-Coordinated Modeling Center (CCMC) for providing IRI data online, the European Space Agencys (ESA) for proving swarm data, and the National Institute of Geophysical and Volcanology (INGV) for ionosonde data.
Sample usage ( BODY ) =This provides electron density profiled according to height in the altitude range of 652000km during day and 802000km in the night ( Shi et al., 2019; Bilitza et al., 2010; Bilitza et al., 2017; Patel et al., 2019 ). The IRI parameter is downloaded from the homepage http://irimodel.org . 2.4.1 Effective height determination from swarm and IRI TEC As illustrated by Fig. 3 , the new method suggested used the following steps to derive effective height from swarm and IRI data.
Sample usage ( ABSTRACT ) =To supplement the existing methods, a new method is proposed that relates IRI TEC to TEC obtained from the difference between sTEC recorded simultaneously by a given receiver on ground and the receiver on board Swarm satellite when swarm is over head the ground receiver.
Authors=Nailwal, Dayakrishna; Sunil Krishna, M. V.; Ranjan, Alok Kumar; Yue, Jia
Title=Modeling of Nitric Oxide Infrared radiative flux in lower thermosphere: A machine learning perspective, 2024, doi:10.1016/j.asr.2024.07.03910.22541/essoar.171691274.40050862/v1, ID=31639347
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =Acknowledgments We acknowledge the SABER, OMNIWeb, SNOE, and Community Coordinated Modeling Center (CCMC) for providing all necessary data for developing this NOIRF model. The OMNIWeb data is available at https://omniweb.gsfc.nasa.gov/form/dx1.html , and SABER data is available at: http://saber.gats-Inc.com/data.php .
Sample usage ( BODY ) =Machine learning techniques have the ability to recognize the subtle underlying correlation present between features in addition to the correlation of features with the target variable. The OMNIWeb datasets for the respective conditions are merged with the SABER dataset.
Authors=Ge, Shucan; Li, Hailong; Zhang, Song; Zhu, Mengyan; Li, Jinghua; Xu, Bin; Xu, Tong; Sun, Shuji; Meng, Lin; Wu, Jian
Title=On the properties of lower mid-latitudes ionospheric scintillation observed over Chengdu, China, 2024, doi:10.1016/j.asr.2024.07.041, ID=31639348
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =The F10.7 data are available from NASA/GSFCs Space Physics Data Facilitys OMNIWeb service ( https://omniweb.gsfc.nasa.gov/form/dx1.html (accessed on 23 January 2024)).
Authors=Chen, Pengxiang; Zheng, Dunyong; Nie, Wenfeng; Ye, Fei; Long, Sichun; He, Changyong; Liao, Mengguang; Xie, Jian
Title=Precise point positioning (PPP) based on the machine learning-based ionospheric tomography, 2024, doi:10.1016/j.asr.2024.07.042, ID=31639349
journal=Advances in Space Research
Keywords found:international reference ionosphere
Sample usage ( BODY ) =Razin and Voosoghi (2016) designed a multi-hidden-layer neural network CIT algorithm and constructed an empirical orthogonal basis function based on the International Reference Ionosphere (IRI2012) model as the objective function for neural network training, aiming to improve the vertical resolution of the ionosphere.
Authors=Mukesh, R.; Dass, Sarat C.; Vijay, M.; Kiruthiga, S.; Praveenkumar, M.; Prashanth, M.
Title=Analysis of TEC variations and prediction of TEC by RNN during Indonesian earthquakes occurred from 2004 to 2024 and comparison with IRI-2020 model, 2024, doi:10.1016/j.asr.2024.07.055, ID=31639351
journal=Advances in Space Research
Keywords found:omniweb, iri, international reference ionosphere
Sample usage ( ACK ) =Solar and geomagnetic parameters were obtained from [NASA’s OMNIWeb platform] (omniweb.gsfc.nasa.gov). Details of the earthquake events were gathered from the [US Geological Survey (USGS)] (usgs.gov).
Sample usage ( BODY ) =The solar and geomagnetic parameters are acquired from OMNIWEB datacentre whereas the TEC data is downloaded from IONOLAB data servers for BAKO station situated in Cibinong, Indonesia.
Sample usage ( ABSTRACT ) =The RNN model, designed to predict TEC variations during earthquakes, utilizes data on solar and geomagnetic activity, including the Kp index, solar wind, and geomagnetic storm activity, obtained from the OMNIWEB data centre, along with TEC data from the IONOLAB data servers for the BAKO station in Cibinong, Indonesia.
Sample usage ( BODY ) =The ABS_E for RNN is 7.25, indicating the average magnitude of prediction errors, whereas, for IRI-2020, it’s 45.21. The RMSE for RNN is 7.25, and for IRI-2020, it’s 45.21.
Sample usage ( ABSTRACT ) =Statistical metrics such as Mean Bias Deviation (MBD), Relative Error (REL_E), Absolute Error (ABS_E), and Root Mean Square Error (RMSE) are used to evaluate the predictive capability of the RNN model and compare it with the International Reference Ionosphere (IRI) 2020 model, a widely accepted empirical model for describing ionospheric parameters.
Sample usage ( TITLE ) =Analysis of TEC variations and prediction of TEC by RNN during Indonesian earthquakes occurred from 2004 to 2024 and comparison with IRI-2020 model
Sample usage ( BODY ) =Furthermore, this study compares the RNN-predicted TEC variations with projections from the International Reference Ionosphere (IRI) 2020 model, aiming to assess the efficacy of machine learning techniques in capturing ionospheric responses to seismic events and to enhance our understanding of ionospheric dynamics in earthquake-prone regions. 2 Methodology The positive ionospheric Hall effect during earthquakes refers to a phenomenon where the Earth’s ionosphere undergoes changes in its electrical properties in response to seismic activity.
Authors=Ojapinwa, B. A.; Oyeyemi, E. O.; Akala, A. O.
Title=IMF Bx, By, and Bz dependence of energetic particle precipitation in the magnetosphere, 2024, doi:10.1016/j.asr.2024.07.060, ID=31639352
journal=Advances in Space Research
Keywords found:cdaweb, omniweb
Sample usage ( ACK ) =We acknowledge http://pcindex.org , for providing polar cap indices. https://cdaweb.gsfc.nasa.gov , http://wdc.kugi.kyoto-u.ac.jp/cgi-bin/dst-cgi , http://wdc.kugi.kyoto-u.ac.jp/aedir , www.ncei.noaa.gov>metadata>bin>iso , https://omniweb.gsfc.nasa.gov/form/dx1.html .
Sample usage ( BODY ) =The IMF data (averaged B (nT), Bx (nT), By (nT), and Bz (nT)) and wind data were downloaded from the Advanced Composition Explorers component of the Coordinated Data Analysis Web (CDAWeb) database. The solar wind plasma data; density, Ds (n/cc), temperature, T (K), flow pressure, P(nPa), electric field, and E y (mV/m) were obtained from https://omniweb.gsfc.nasa.gov/ow_min.html .
Sample usage ( ACK ) =We would like to thank Wole Oyedokun for his assistance in processing NOAA POES data, and Craig Roger for discussions about the NOAA POES data set. We thank the personnel of Omniweb for making their data readily available. We also thank Lam et al. (2010) for providing the software for removing proton contamination. We acknowledge http://pcindex.org , for providing polar cap indices. https://cdaweb.gsfc.nasa.gov , http://wdc.kugi.kyoto-u.ac.jp/cgi-bin/dst-cgi , http://wdc.kugi.kyoto-u.ac.jp/aedir , www.ncei.noaa.gov>metadata>bin>iso , https://omniweb.gsfc.nasa.gov/form/dx1.html . The authors thank the editor and the reviewers for their useful comments and suggestions, which have improved this manuscript.
Sample usage ( BODY ) =The solar wind plasma data; density, Ds (n/cc), temperature, T (K), flow pressure, P(nPa), electric field, and E y (mV/m) were obtained from https://omniweb.gsfc.nasa.gov/ow_min.html . The IMF absolute clock angle was estimated as | tan - 1 ( By / Bz ) | .
Authors=Wang, Feifei; Tang, Ji; Shan, Xinjian; Zhang, Hongbo; Li, Na; Zhang, Yabin; Jin, Ruimin; Xu, Tong
Title=The ionospheric response during the 2013 stratospheric sudden warming over the East Asia region, 2024, doi:10.1016/j.asr.2024.07.063, ID=31639353
journal=Advances in Space Research
Keywords found:spdf, omni, omniweb
Sample usage ( ACK ) =The Kp and F10.7 index data are obtained from the GSFC / SPDF OMNI Web interface ( http://omniweb.gsfc.nasa.gov ). This work is supported by the foundation of National Key Laboratory of Electromagnetic Environment (Grant No. 6142403230102 ), the National Natural Science Foundation of China (No. 52371354 ), and the National Key RD Program of China (No. 2020YFB0505603 ).
Sample usage ( BODY ) =The solar and geomagnetic conditions are indicated by the F10.7 and Kp indices, respectively, which are both available at https://omniweb.gsfc.nasa.gov/form/dx1.html . The F10.7 index is in solar flux units (SFU=1022W/m 2 /Hz).
Authors=Pilipenko, Vyacheslav; Zhao, Shufan; Savelieva, Natalia; Mazur, Nikolay; Fedorov, Evgeniy; Ma, Zhenhui
Title=ELF emission in the topside ionosphere from the ZEVS transmitter detected by CSES satellite, 2024, doi:10.1016/j.asr.2024.07.074, ID=31639355
journal=Advances in Space Research
Keywords found:space physics data facility, iri
Sample usage ( ACK ) =The IRI model code providing the ionospheric electron density, electron and ion temperatures, and ion composition is distributed by the NASAs Space Physics Data Facility (http://iri.gsfc.nasa.gov).
Sample usage ( ACK ) =Data CSES are available in the publicly accessible repository https://www.leos.ac.cn . The IRI model code providing the ionospheric electron density, electron and ion temperatures, and ion composition is distributed by the NASAs Space Physics Data Facility (http://iri.gsfc.nasa.gov).
Sample usage ( BODY ) =The vertical magnetic component B z is found to be 12 orders of magnitude smaller as compared with horizontal components, and further is not considered. 5 Modeling the ELF electromagnetic emission produced by ZEVS transmitter The IRI parameters have been chosen to correspond to daytime conditions during 2019/11/11 event at the ZEVS location. The IRI-derived F-region peak density is N m F 2 = 1.22 10 5 m 3 , the peak height is h m F 2 = 218 km, and solar index F 10.7 = 68.1 .
Sample usage ( ABSTRACT ) =Realistic altitudinal profiles of the plasma parameters during events under study have been reconstructed with the use of the IRI ionospheric model. The modeled amplitudes of electromagnetic response of the upper ionosphere are in reasonable agreement with the 82-Hz emission power recorded by the CSES satellite for a typical transmitter current intensity >100 A.
Authors=He, Mu; Zhu, Hongbing
Title=Correlating sunspot numbers with Alfven and Magnetosonic Mach number across last four solar cycles and prediction of solar cycle 25 with LSTM+model, 2024, doi:10.1016/j.asr.2024.08.041, ID=31639374
journal=Advances in Space Research
Keywords found:cdaweb, spdf, space physics data facility, omni, omniweb
Sample usage ( ACK ) =Acknowledgements We acknowledge use of NASA/GSFC’s Space Physics Data Facility’s OMNIWeb (or CDAWeb or ftp) service, and OMNI data. Sunspot data are from the World Data Center SILSO, Royal Observatory of Belgium, Brussels.
Sample usage ( BODY ) =All the data used in our study, spanning from 1976 to 2024, were scoured from the official website of NASAs Space Physics Data Facility (SPDF), USA. ( https://spdf.gsfc.nasa.gov/pub/data/omni/low_res_omni/ ).
Authors=Gerzen, Tatjana; Minkwitz, David; Schmidt, Michael; Rudenko, Sergei
Title=Validation of the NeQuick model, Ensemble Kalman filter and SMART+ based estimations of the topside ionosphere and plasmasphere, 2024, doi:10.1016/j.asr.2024.08.017, ID=31963621
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =Nava et al., 2008 ), the International Reference Ionosphere (IRI, cf. Bilitza et al., 2011; Bilitza et al., 2022 ) and IRI-Plas (IRI extended to plasmasphere, cf.
Authors=Cnossen, Ingrid; Emmert, John T.; Garcia, Rolando R.; Elias, Ana G.; Mlynczak, Martin G.; Zhang, Shun-Rong
Title=A review of global long-term changes in the mesosphere, thermosphere and ionosphere: A starting point for inclusion in (semi-) empirical models, 2024, doi:10.1016/j.asr.2024.10.005, ID=31963622
journal=Advances in Space Research
Keywords found:iri, international reference ionosphere
Sample usage ( BODY ) =Incorporation of long-term trends in ionospheric empirical models, such as IRI, is likely to be more complicated, as the ionosphere is not only affected by the increase in CO 2 concentration, but also by geomagnetic field changes.
Sample usage ( BODY ) =Empirical or semi-empirical models such as the Mass Spectrometer Incoherent Scatter radar (MSIS) model series ( Emmert et al., 2020; Emmert et al., 2022 ), the Drag Temperature Model (DTM)-2020 ( Bruinsma and Boniface, 2021 ), the Jacchia-Bowman (JB2008) model ( Bowman et al., 2008 ), and the International Reference Ionosphere (IRI) ( Bilitza et al., 2022 ) are widely used in science and engineering, but for the most part these do not currently include a long-term trend component.
Authors=Bag, Tikemani; Ogawa, Y.
Title=Impact of interplanetary shock on nitric oxide cooling emission: A superposed epoch study, 2024, doi:10.1016/j.asr.2024.08.005, ID=31963623
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =The solar and IMF data are obtained from WIND spacecraft via https://wind.nasa.gov/ . The geomagnetic data are from OMNIWeb ( https://omniweb.gsfc.nasa.gov ). AMPERE Field-Aligned-Currents are obtained via https://ampere.jhuapl.edu/ .
Sample usage ( BODY ) =Auroral electrojet (AE) and SYM-H indices are obtained from OMNIWeb database ( https://omniweb.gsfc.nasa.gov ). We considered 17 IP shock events having SYM-H index greater than 30 nT within 6 hr to+18 hr of onset.
Authors=Githio, Lynne; Liu, Huixin; Arafa, Ayman A.; Mahrous, Ayman
Title=A machine learning approach for estimating the drift velocities of equatorial plasma bubbles based on All-Sky Imager and GNSS observations, 2024, doi:10.1016/j.asr.2024.08.067, ID=31963626
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( ACK ) =We also thank the NASA/Goddard Space Flight Center (GSFC) OMNI Website for making the geomagnetic and solar flux indices data accessible and the NOAAs National Geodetic Survey Continuously Operating Reference Station (CORS) for supplying the navigation files.
Sample usage ( BODY ) =The derived parameters data was retrieved from the NASA/Goddard Space Flight Center (GSFC) OMNI database, accessible at https://omniweb.gsfc.nasa.gov/ . Thermospheric winds in the post-sunset lead to the production of polarized electric fields in the F region due to the transverse ion drift interaction with the geomagnetic field.
Authors=Sruthi, T. V.; Manju, G.; Vishnupriya, K. S.
Title=On equatorial spread F occurrence: A multi-dimensional quantitative assessment, 2024, doi:10.1016/j.asr.2024.09.005, ID=31963628
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =The solar F10.7cm radio flux values are available at https://omniweb.gsfc.nasa.gov/form/dx1.html. The authors would like to thank the GOCE satellite team for providing the meridional wind data in the public domain ( https://goce-ds.eo.esa.int/oads/access/collection/GOCE\_Thermosphere\_Data ).
Authors=Korotova, G. I.; Sibeck, D. G.
Title=THEMIS observations of compressional Pc5 pulsations in the dawn- and duskside magnetosphere, 2024, doi:10.1016/j.asr.2024.09.028, ID=31963629
journal=Advances in Space Research
Keywords found:cdaweb, omni, sscweb
Sample usage ( ACK ) =Acknowledgements Funding for this study came from NASAs THEMIS mission . NASAs GSFC CDAWEB and SSCWEB provided Wind, ACE . THEMIS and ground-based observations and ephemeris, respectively.
Sample usage ( BODY ) =Wind provides solar wind magnetic field and 3DP plasma data with 3s time resolution ( Lepping et al., 1995; Lin et al., 1995 ). We use one minute OMNI solar wind and IMF parameters that have been shifted to the Earths bow shock nose. Geomagnetic indices Kp, AE and Dst are also obtained from the OMNI database. The Cluster-4 (C4) fluxgate magnetometer (FGM) with a spin resolution of 4s measures three-dimensional magnetic field vector in GSE coordinates ( Balogh et al., 2001 ).
Authors=Pappoe, Justice Allotey; Yoshikawa, Akimasa; Kandil, Ali; Mahrous, Ayman
Title=A machine learning approach combined with wavelet analysis for automatic detection of Pc5 geomagnetic pulsations observed at geostationary orbits, 2024, doi:10.1016/j.asr.2023.11.001, ID=32181321
journal=Advances in Space Research
Keywords found:omni, omniweb
Sample usage ( ACK ) =Acknowledgement We thank NOAA for making the GOES-10 data available to the general public and the hardworking operators of the OMNI Web database for their relentless efforts to make the Kp index data available to the public.
Sample usage ( BODY ) =This was purposed to extract low-frequency signals within the Pc5 band (typically 1.66.7mHz) and remove high-frequency signals, artificial noise and natural source signals that left their trace on the magnetic field time series. Kp index data retrieved from OMNI Web was used to validate this work. This is open-access data available to the public for scientific use and can be accessed through the link https://omniweb.gsfc.nasa.gov/ . 2.2 Wavelet processing of data Wavelet-based analysis is very suitable for detecting, identifying, and classifying signals having time-varying frequency orders.
Sample usage ( BODY ) =This is open-access data available to the public for scientific use and can be accessed through the link https://omniweb.gsfc.nasa.gov/ . 2.2 Wavelet processing of data Wavelet-based analysis is very suitable for detecting, identifying, and classifying signals having time-varying frequency orders.
Authors=Koklu, Kevser
Title=Comparison of the first four weak and moderate geomagnetic storms of the 2022 using artificial neural networks, 2024, doi:10.1016/j.asr.2023.11.029, ID=32181322
journal=Advances in Space Research
Keywords found:omni
Sample usage ( BODY ) =Results can be seen at Table 1 : 2 Geomagnetic storms (GSs) The work uses OMNI web and IDL-Based hourly data SPEDAS. The GSs the weak (Dst=-35 nT and Dst=32 nT) and moderate (Dst=-91 nT and Dst=-85 nT) 2022 have been discussed.
Authors=Tanneeru, Venkateswara Rao; Miriyala, Sridhar; Narukull, Venkateswara Rao; Devanaboyina, Venkata Ratnam
Title=A deep learning model employing Bi-LSTM architecture to predict Martian ionosphere electron density using data from the Mars Global Surveyor mission, 2024, doi:10.1016/j.asr.2024.07.051, ID=32181325
journal=Advances in Space Research
Keywords found:omniweb
Sample usage ( ACK ) =Acknowledgments The authors express their gratitude to the MGS mission data samples portal ( http://atmos.nmsu.edu/PDS/data/mors\_1102/ ), the space weather parameter portal ( https://omniweb.gsfc.nasa.gov/form/dx1.html ), and the GOES portal (https://www.ngdc.noaa.gov/stp/space-weather/solar-data/solar-features/solar-flares/x-rays/) for providing access to the datasets.
Sample usage ( BODY ) =One-minute averaged X-ray solar irradiance (XRS-B) data is downloaded from the https://www.ngdc.noaa.gov/stp/satellite/goes-r.html , and the SSN and F10.7 parameters were downloaded from https://omniweb.gsfc.nasa.gov/form/dx1.html websites. The F10.7P is derived from the following function ( Darya et al., 2022; Bergeot et al., 2019 ). where, F10.7A is the measure of previous 81days F10.7 measurements average value.
