Articles | Volume 29, issue 8
https://doi.org/10.5194/angeo-29-1501-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/angeo-29-1501-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Regular paper
| 
31 Aug 2011
Regular paper |
| 31 Aug 2011
Modeling ionospheric foF2 by using empirical orthogonal function analysis
E. A
Institute of Space Physics and Applied Technology, School of Earth and Space Sciences, Peking University, Beijing, China
Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, MI, USA
D.-H. Zhang
Institute of Space Physics and Applied Technology, School of Earth and Space Sciences, Peking University, Beijing, China
State Key Laboratory of Space Weather, Chinese Academy of Sciences, Beijing, China
Z. Xiao
Institute of Space Physics and Applied Technology, School of Earth and Space Sciences, Peking University, Beijing, China
State Key Laboratory of Space Weather, Chinese Academy of Sciences, Beijing, China
Y.-Q. Hao
Institute of Space Physics and Applied Technology, School of Earth and Space Sciences, Peking University, Beijing, China
A. J. Ridley
Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, MI, USA
M. Moldwin
Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, MI, USA
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- A New Empirical Model of NmF2 Based on CHAMP, GRACE, and COSMIC Radio Occultation Z. Liu et al. https://doi.org/10.3390/rs11111386
- Regional model of foF2 for Pakistan using empirical orthogonal function technique U. Ashraf et al. https://doi.org/10.1007/s12517-022-09435-2
- A review of empirical orthogonal function (EOF) with an emphasis on the co-seismic crustal deformation analysis . Neha & S. Pasari https://doi.org/10.1007/s11069-021-04967-4
- An Adaptive Forecasting Method for Ionospheric Critical Frequency of F2 Layer J. Wang et al. https://doi.org/10.1029/2019RS007001
- Empirical orthogonal function analysis and modeling of global ionospheric spherical harmonic coefficients P. Chen et al. https://doi.org/10.1007/s10291-020-00984-1
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- Characterization of ionospheric variability in TEC using EOF and wavelets over low-latitude GNSS stations J. Dabbakuti & D. Venkata Ratnam https://doi.org/10.1016/j.asr.2016.03.029
- Linear time series modeling of GPS-derived TEC observations over the Indo-Thailand region P. Suraj et al. https://doi.org/10.1007/s00190-017-1099-6
- Storm Time Total Electron Content Modeling Over African Low‐Latitude and Midlatitude Regions J. Uwamahoro et al. https://doi.org/10.1029/2018JA025455
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- Modeling of local ionospheric time varying characteristics based on singular value decomposition over low-latitude GPS stations R. Neeli et al. https://doi.org/10.1007/s10509-018-3403-1
- Modelling total electron content during geomagnetic storm conditions using empirical orthogonal functions and neural networks J. Uwamahoro & J. Habarulema https://doi.org/10.1002/2015JA021961
- Variation of hmF2 and NmF2 deduced from DPS-4 over Multan (Pakistan) and their comparisons with IRI-2012 & IRI-2016 during the deep solar minimum between cycles 23 & 24 M. Ameen et al. https://doi.org/10.1016/j.asr.2018.01.043
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- A Machine Learning-Based Method for Modeling TEC Regional Temporal-Spatial Map Y. Liu et al. https://doi.org/10.3390/rs14215579
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- Modelling ionospheric vertical drifts over Africa low latitudes using Empirical Orthogonal functions and comparison with climatological model M. Dubazane et al. https://doi.org/10.1016/j.asr.2017.10.024
- Global total electron content prediction performance assessment of the IRI-2016 model based on empirical orthogonal function decomposition S. Li et al. https://doi.org/10.5194/angeo-38-331-2020
- Modeling and analysis of ionosphere TEC over China and adjacent areas based on EOF method S. Li et al. https://doi.org/10.1016/j.asr.2019.04.018
- Constructing a Regional Ionospheric TEC Model in China with Empirical Orthogonal Function and Dense GNSS Observation B. Xiong et al. https://doi.org/10.3390/rs15215207
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- Simplified Regional Prediction Model of Long-Term Trend for Critical Frequency of Ionospheric F2 Region over East Asia J. Wang et al. https://doi.org/10.3390/app9163219
- Estimation of Ionospheric Critical Plasma Frequencies From GNSS‐TEC Measurements Using Artificial Neural Networks V. Otugo et al. https://doi.org/10.1029/2019SW002257
- A new regional total electron content empirical model in northeast China J. Feng et al. https://doi.org/10.1016/j.asr.2016.06.001
- A global empirical orthogonal function model of plasmaspheric electron content P. Chen et al. https://doi.org/10.1016/j.asr.2019.09.039
- An Explainable Dynamic Prediction Method for Ionospheric foF2 Based on Machine Learning J. Wang et al. https://doi.org/10.3390/rs15051256
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