Articles | Volume 8, issue 1
https://doi.org/10.5194/amt-8-171-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-171-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Jan 2015
Research article |
| 12 Jan 2015
Ionospheric assimilation of radio occultation and ground-based GPS data using non-stationary background model error covariance
C. Y. Lin
Institute of Space Science, National Central University, Chungli, Taiwan
T. Matsuo
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA
Space Weather Prediction Center, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA
Institute of Space Science, National Central University, Chungli, Taiwan
National Space Organization, HsinChu, Taiwan
C. H. Lin
Department of Earth Sciences, National Cheng Kung University, Tainan, Taiwan
H. F. Tsai
Department of Earth Sciences, National Cheng Kung University, Tainan, Taiwan
E. A. Araujo-Pradere
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA
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Cited
45 citations as recorded by crossref.
- Advances in Ionospheric Space Weather by Using FORMOSAT-7/COSMIC-2 GNSS Radio Occultations J. Liu et al. 10.3390/atmos13060858
- Field‐aligned neutral wind bias correction scheme for global ionospheric modeling at midlatitudes by assimilating FORMOSAT‐3/COSMIC hmF2 data under geomagnetically quiet conditions Y. Sun et al. 10.1002/2014JA020768
- Generation of Regional Ionospheric TEC Maps With EIA Nowcasting/Forecasting Capability During Geomagnetic Storm Conditions P. Harsha & D. Ratnam 10.1109/ACCESS.2020.2982468
- Ionospheric Assimilation of GNSS TEC into IRI Model Using a Local Ensemble Kalman Filter J. Tang et al. 10.3390/rs14143267
- Data Assimilation of Ground‐Based GPS and Radio Occultation Total Electron Content for Global Ionospheric Specification C. Lin et al. 10.1002/2017JA024185
- GNSS brings us back on the ground from ionosphere Y. Sun 10.1186/s40562-019-0144-0
- Modeling the ionospheric prereversal enhancement by using coupled thermosphere‐ionosphere data assimilation C. Chen et al. 10.1002/2016GL071812
- Understanding Nighttime Ionospheric Depletions Associated With Sudden Stratospheric Warmings in the American Sector M. Jones et al. 10.1029/2022JA031236
- Global equatorial plasma bubble growth rates using ionosphere data assimilation P. Rajesh et al. 10.1002/2017JA023968
- A global 3-D electron density reconstruction model based on radio occultation data and neural networks J. Habarulema et al. 10.1016/j.jastp.2021.105702
- Ionospheric F2 region perturbed by the 25 April 2015 Nepal earthquake Y. Sun et al. 10.1002/2015JA022280
- Specifying Satellite Drag Through Coupled Thermosphere‐Ionosphere Data Assimilation of Radio Occultation Electron Density Profiles N. Dietrich et al. 10.1029/2022SW003147
- A Data Assimilated Regional Ionosphere Model Using the Total Electron Content from the Korean GPS Network C. Mengist et al. 10.3938/jkps.72.826
- Comparisons of in situ ionospheric density using ion velocity meters onboard FORMOSAT-7/COSMIC-2 and ICON missions J. Choi et al. 10.1186/s40623-022-01759-3
- Three‐dimensional ionospheric tomography reconstruction using the model function approach in Tikhonov regularization S. Wang et al. 10.1002/2016JA023487
- Assimilating VLF Transmitter Observations With an LETKF for Spatial Estimates of the ${D}$ -Region Ionosphere F. Gasdia & R. Marshall 10.1109/TGRS.2019.2957716
- Ionospheric Horizontal Correlation Distances: Estimation, Analysis, and Implications for Ionospheric Data Assimilation V. Forsythe et al. 10.1029/2020RS007159
- Estimating of the Global Ionosphere Maps Using Hybrid Data Assimilation Method and Their Background Influence Analysis S. Wang et al. 10.1029/2020JA028047
- Global ionosphere map constructed by using total electron content from ground-based GNSS receiver and FORMOSAT-3/COSMIC GPS occultation experiment Y. Sun et al. 10.1007/s10291-017-0635-4
- Ionosphere variability II: Advances in theory and modeling I. Tsagouri et al. 10.1016/j.asr.2023.07.056
- The Ionospheric Three-Dimensional Electron Density Variations Induced by the 21 August 2017 Total Solar Eclipse by Using Global Ionospheric Specification C. Lin et al. 10.3390/rs15153887
- 3‐D Ionospheric Imaging Over the South American Region With a New TEC‐Based Ionospheric Data Assimilation System (TIDAS‐SA) E. Aa et al. 10.1029/2023SW003792
- Dual Empirical Orthogonal Functions Restrained Tomographic Model for Ionosphere Imaging J. Yu et al. 10.1109/TGRS.2022.3225410
- Generation of Assimilated Indian Regional Vertical TEC Maps B. Pasumarthi & V. Devanaboyina 10.1007/s10291-019-0934-z
- Regional ionospheric TEC modeling during geomagnetic storm in August 2021- data fusion using multi-instrument observations S. Emmela et al. 10.1016/j.asr.2023.06.054
- Superposition Property of the Ionospheric Scintillation S4 Index W. Yeh et al. 10.1109/LGRS.2019.2928588
- Regional ionospheric model response of geomagnetic storm during March 2015 using data fusion mechanism: GPS, COSMIC RO and SWARM S. Emmela & D. Ratnam 10.1007/s11600-022-00969-3
- Local‐Time and Vertical Characteristics of Quasi‐6‐Day Oscillation in the Ionosphere During the 2019 Antarctic Sudden Stratospheric Warming J. Lin et al. 10.1029/2020GL090345
- Introduction of TROPS ionospheric TEC products for FORMOSAT-7/COSMIC-2 mission W. Yeh et al. 10.1007/s44195-022-00027-x
- The Accuracy Assessment and Scientific Research Progress of Ionospheric Radio Occultation Products Observed by Fengyun-3 GNOS W. Bai et al. 10.1109/JSTARS.2022.3217681
- The Four‐Dimensional Variational Neustrelitz Electron Density Assimilation Model: NEDAM L. Yuan et al. 10.1029/2022SW003378
- Low latitude monthly total electron content composite correlations D. Allen et al. 10.1051/swsc/2023005
- Regional 3‐D ionospheric electron density specification on the basis of data assimilation of ground‐based GNSS and radio occultation data E. Aa et al. 10.1002/2016SW001363
- Unusual Quasi 10‐Day Planetary Wave Activity and the Ionospheric Response During the 2019 Southern Hemisphere Sudden Stratospheric Warming J. Wang et al. 10.1029/2021JA029286
- Validation of three-dimensional ionospheric tomography over North America region S. Hirooka et al. 10.1541/jae.36.1
- Assimilation of Multiple Data Types to a Regional Ionosphere Model With a 3D‐Var Algorithm (IDA4D) C. Mengist et al. 10.1029/2019SW002159
- Analysis of Plasma Bubble Signatures in Total Electron Content Maps of the Low-Latitude Ionosphere: A Simplified Methodology C. Oliveira et al. 10.1007/s10712-020-09584-7
- Vector Spherical Harmonics for Data‐Assimilative Neutral Wind Estimation A. López Rubio & S. Datta‐Barua 10.1029/2022SW003052
- Revisiting the Modulations of Ionospheric Solar and Lunar Migrating Tides During the 2009 Stratospheric Sudden Warming by Using Global Ionosphere Specification J. Lin et al. 10.1029/2019SW002184
- Improving the Thermosphere Ionosphere in a Whole Atmosphere Model by Assimilating GOLD Disk Temperatures F. Laskar et al. 10.1029/2021JA030045
- 3‐D Regional Ionosphere Imaging and SED Reconstruction With a New TEC‐Based Ionospheric Data Assimilation System (TIDAS) E. Aa et al. 10.1029/2022SW003055
- The Early Results and Validation of FORMOSAT‐7/COSMIC‐2 Space Weather Products: Global Ionospheric Specification and Ne‐Aided Abel Electron Density Profile C. Lin et al. 10.1029/2020JA028028
- Retrospect and prospect of ionospheric weather observed by FORMOSAT-3/COSMIC and FORMOSAT-7/COSMIC-2 T. Liu et al. 10.1007/s44195-022-00019-x
- Tomographic Inversion of the Ionospheric Electron Density Driven by the Scales of Empirical Orthogonal Functions J. Yu et al. 10.1109/TGRS.2023.3316187
- Characteristics of low‐latitude TEC during solar cycles 23 and 24 using global ionospheric maps (GIMs) over Indian sector N. Dashora & S. Suresh 10.1002/2014JA020559
44 citations as recorded by crossref.
- Advances in Ionospheric Space Weather by Using FORMOSAT-7/COSMIC-2 GNSS Radio Occultations J. Liu et al. 10.3390/atmos13060858
- Field‐aligned neutral wind bias correction scheme for global ionospheric modeling at midlatitudes by assimilating FORMOSAT‐3/COSMIC hmF2 data under geomagnetically quiet conditions Y. Sun et al. 10.1002/2014JA020768
- Generation of Regional Ionospheric TEC Maps With EIA Nowcasting/Forecasting Capability During Geomagnetic Storm Conditions P. Harsha & D. Ratnam 10.1109/ACCESS.2020.2982468
- Ionospheric Assimilation of GNSS TEC into IRI Model Using a Local Ensemble Kalman Filter J. Tang et al. 10.3390/rs14143267
- Data Assimilation of Ground‐Based GPS and Radio Occultation Total Electron Content for Global Ionospheric Specification C. Lin et al. 10.1002/2017JA024185
- GNSS brings us back on the ground from ionosphere Y. Sun 10.1186/s40562-019-0144-0
- Modeling the ionospheric prereversal enhancement by using coupled thermosphere‐ionosphere data assimilation C. Chen et al. 10.1002/2016GL071812
- Understanding Nighttime Ionospheric Depletions Associated With Sudden Stratospheric Warmings in the American Sector M. Jones et al. 10.1029/2022JA031236
- Global equatorial plasma bubble growth rates using ionosphere data assimilation P. Rajesh et al. 10.1002/2017JA023968
- A global 3-D electron density reconstruction model based on radio occultation data and neural networks J. Habarulema et al. 10.1016/j.jastp.2021.105702
- Ionospheric F2 region perturbed by the 25 April 2015 Nepal earthquake Y. Sun et al. 10.1002/2015JA022280
- Specifying Satellite Drag Through Coupled Thermosphere‐Ionosphere Data Assimilation of Radio Occultation Electron Density Profiles N. Dietrich et al. 10.1029/2022SW003147
- A Data Assimilated Regional Ionosphere Model Using the Total Electron Content from the Korean GPS Network C. Mengist et al. 10.3938/jkps.72.826
- Comparisons of in situ ionospheric density using ion velocity meters onboard FORMOSAT-7/COSMIC-2 and ICON missions J. Choi et al. 10.1186/s40623-022-01759-3
- Three‐dimensional ionospheric tomography reconstruction using the model function approach in Tikhonov regularization S. Wang et al. 10.1002/2016JA023487
- Assimilating VLF Transmitter Observations With an LETKF for Spatial Estimates of the ${D}$ -Region Ionosphere F. Gasdia & R. Marshall 10.1109/TGRS.2019.2957716
- Ionospheric Horizontal Correlation Distances: Estimation, Analysis, and Implications for Ionospheric Data Assimilation V. Forsythe et al. 10.1029/2020RS007159
- Estimating of the Global Ionosphere Maps Using Hybrid Data Assimilation Method and Their Background Influence Analysis S. Wang et al. 10.1029/2020JA028047
- Global ionosphere map constructed by using total electron content from ground-based GNSS receiver and FORMOSAT-3/COSMIC GPS occultation experiment Y. Sun et al. 10.1007/s10291-017-0635-4
- Ionosphere variability II: Advances in theory and modeling I. Tsagouri et al. 10.1016/j.asr.2023.07.056
- The Ionospheric Three-Dimensional Electron Density Variations Induced by the 21 August 2017 Total Solar Eclipse by Using Global Ionospheric Specification C. Lin et al. 10.3390/rs15153887
- 3‐D Ionospheric Imaging Over the South American Region With a New TEC‐Based Ionospheric Data Assimilation System (TIDAS‐SA) E. Aa et al. 10.1029/2023SW003792
- Dual Empirical Orthogonal Functions Restrained Tomographic Model for Ionosphere Imaging J. Yu et al. 10.1109/TGRS.2022.3225410
- Generation of Assimilated Indian Regional Vertical TEC Maps B. Pasumarthi & V. Devanaboyina 10.1007/s10291-019-0934-z
- Regional ionospheric TEC modeling during geomagnetic storm in August 2021- data fusion using multi-instrument observations S. Emmela et al. 10.1016/j.asr.2023.06.054
- Superposition Property of the Ionospheric Scintillation S4 Index W. Yeh et al. 10.1109/LGRS.2019.2928588
- Regional ionospheric model response of geomagnetic storm during March 2015 using data fusion mechanism: GPS, COSMIC RO and SWARM S. Emmela & D. Ratnam 10.1007/s11600-022-00969-3
- Local‐Time and Vertical Characteristics of Quasi‐6‐Day Oscillation in the Ionosphere During the 2019 Antarctic Sudden Stratospheric Warming J. Lin et al. 10.1029/2020GL090345
- Introduction of TROPS ionospheric TEC products for FORMOSAT-7/COSMIC-2 mission W. Yeh et al. 10.1007/s44195-022-00027-x
- The Accuracy Assessment and Scientific Research Progress of Ionospheric Radio Occultation Products Observed by Fengyun-3 GNOS W. Bai et al. 10.1109/JSTARS.2022.3217681
- The Four‐Dimensional Variational Neustrelitz Electron Density Assimilation Model: NEDAM L. Yuan et al. 10.1029/2022SW003378
- Low latitude monthly total electron content composite correlations D. Allen et al. 10.1051/swsc/2023005
- Regional 3‐D ionospheric electron density specification on the basis of data assimilation of ground‐based GNSS and radio occultation data E. Aa et al. 10.1002/2016SW001363
- Unusual Quasi 10‐Day Planetary Wave Activity and the Ionospheric Response During the 2019 Southern Hemisphere Sudden Stratospheric Warming J. Wang et al. 10.1029/2021JA029286
- Validation of three-dimensional ionospheric tomography over North America region S. Hirooka et al. 10.1541/jae.36.1
- Assimilation of Multiple Data Types to a Regional Ionosphere Model With a 3D‐Var Algorithm (IDA4D) C. Mengist et al. 10.1029/2019SW002159
- Analysis of Plasma Bubble Signatures in Total Electron Content Maps of the Low-Latitude Ionosphere: A Simplified Methodology C. Oliveira et al. 10.1007/s10712-020-09584-7
- Vector Spherical Harmonics for Data‐Assimilative Neutral Wind Estimation A. López Rubio & S. Datta‐Barua 10.1029/2022SW003052
- Revisiting the Modulations of Ionospheric Solar and Lunar Migrating Tides During the 2009 Stratospheric Sudden Warming by Using Global Ionosphere Specification J. Lin et al. 10.1029/2019SW002184
- Improving the Thermosphere Ionosphere in a Whole Atmosphere Model by Assimilating GOLD Disk Temperatures F. Laskar et al. 10.1029/2021JA030045
- 3‐D Regional Ionosphere Imaging and SED Reconstruction With a New TEC‐Based Ionospheric Data Assimilation System (TIDAS) E. Aa et al. 10.1029/2022SW003055
- The Early Results and Validation of FORMOSAT‐7/COSMIC‐2 Space Weather Products: Global Ionospheric Specification and Ne‐Aided Abel Electron Density Profile C. Lin et al. 10.1029/2020JA028028
- Retrospect and prospect of ionospheric weather observed by FORMOSAT-3/COSMIC and FORMOSAT-7/COSMIC-2 T. Liu et al. 10.1007/s44195-022-00019-x
- Tomographic Inversion of the Ionospheric Electron Density Driven by the Scales of Empirical Orthogonal Functions J. Yu et al. 10.1109/TGRS.2023.3316187
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Latest update: 16 Jul 2024
Short summary
This study presents a new approach to assimilate FORMOSAT-3/COSMIC radio occultation (RO) slant total electron content (TEC) data as well as ground-based GPS slant TEC data into the International Reference Ionosphere to reconstruct 3-D ionospheric election density structure. Our new ionospheric data assimilation model that employs the location-dependent background model error covariance outperforms the earlier assimilation model with the location-independent background model error covariance.
This study presents a new approach to assimilate FORMOSAT-3/COSMIC radio occultation (RO) slant...
