| Citation: | A Ercha, LUO Xinyue, CHEN Yanhong, SHEN Hua, YUAN Tianjiao, HUANG Wengeng, WANG Xin, LU Guorui, LUO Bingxian. An Ionospheric Space-Weather Data Assimilation System over China Based on Meridian Project GNSS Measurements (in Chinese). Chinese Journal of Space Science, 2026, 46(5): 1-18 doi: 10.11728/cjss2026.05.2025-0182 |
| [1] |
JAKOWSKI N, BÉNIGUEL Y, DE FRANCESCHI G, et al. Monitoring, tracking and forecasting ionospheric perturbations using GNSS techniques[J]. Journal of Space Weather and Space Climate, 2012, 2: A22 doi: 10.1051/swsc/2012022
|
| [2] |
HERNÁNDEZ-PAJARES M, JUAN J M, SANZ J, et al. The IGS VTEC maps: a reliable source of ionospheric information since 1998[J]. Journal of Geodesy, 2009, 83(3/4): 263-275 doi: 10.1007/s00190-008-0266-1
|
| [3] |
RIDEOUT W, COSTER A. Automated GPS processing for global total electron content data[J]. GPS Solutions, 2006, 10(3): 219-228 doi: 10.1007/s10291-006-0029-5
|
| [4] |
阿尔察, 刘四清, 黄文耿, 等. 中国电离层TEC同化现报系统[J]. 地球物理学报, 2018, 61(6): 2186-2197 doi: 10.6038/cjg2018L0349
A Ercha, LIU Siqing, HUANG Wengeng, et al. Ionospheric TEC data assimilation and now-casting system over China[J]. Chinese Journal of Geophysics, 2018, 61(6): 2186-2197 doi: 10.6038/cjg2018L0349
|
| [5] |
WANG C M, HAJJ G, PI X Q, et al. Development of the global assimilative ionospheric model[J]. Radio Science, 2004, 39(1): RS1S06 doi: 10.1029/2002RS002854
|
| [6] |
HAJJ G A, WILSON B D, WANG C, et al. Data assimilation of ground GPS total electron content into a physics-based ionospheric model by use of the Kalman filter[J]. Radio Science, 2004, 39(1): RS1S05 doi: 10.1029/2002RS002859
|
| [7] |
SCHUNK R W, SCHERLIESS L, SOJKA J J, et al. Global Assimilation of Ionospheric Measurements (GAIM)[J]. Radio Science, 2004, 39(1): RS1S02 doi: 10.1029/2002RS002794
|
| [8] |
SCHERLIESS L, SCHUNK R W, SOJKA J J, et al. Utah State university global assimilation of ionospheric measurements Gauss-Markov Kalman filter model of the ionosphere: model description and validation[J]. Journal of Geophysical Research: Space Physics, 2006, 111(A11): A11315 doi: 10.1029/2006JA011712
|
| [9] |
CHEN C H, LIN C, CHEN W H, et al. Modeling the ionospheric prereversal enhancement by using coupled thermosphere-ionosphere data assimilation[J]. Geophysical Research Letters, 2017, 44(4): 1652-1659 doi: 10.1002/2016GL071812
|
| [10] |
MATSUO T, ARAUJO-PRADERE E A. Role of thermosphere-ionosphere coupling in a global ionospheric specification[J]. Radio Science, 2011, 46(6): RS0D23 doi: 10.1029/2010RS004576
|
| [11] |
LEE I T, MATSUO T, RICHMOND A D, et al. Assimilation of FORMOSAT-3/COSMIC electron density profiles into a coupled thermosphere/ionosphere model using ensemble Kalman filtering[J]. Journal of Geophysical Research: Space Physics, 2012, 117(A10): A10318 doi: 10.1029/2012JA017700
|
| [12] |
PEDATELLA N M, RAEDER K, ANDERSON J L, et al. Ensemble data assimilation in the whole atmosphere community climate model[J]. Journal of Geophysical Research: Atmospheres, 2014, 119(16): 9793-9809 doi: 10.1002/2014JD021776
|
| [13] |
PEDATELLA N M, ANDERSON J L, CHEN C H, et al. Assimilation of ionosphere observations in the Whole Atmosphere Community Climate Model with Thermosphere-ionosphere EXtension (WACCMX)[J]. Journal of Geophysical Research: Space Physics, 2020, 125(9): e2020JA028251 doi: 10.1029/2020JA028251
|
| [14] |
HE J H, YUE X N, WANG W B, et al. EnKF ionosphere and thermosphere data assimilation algorithm through a sparse matrix method[J]. Journal of Geophysical Research: Space Physics, 2019, 124(8): 7356-7365 doi: 10.1029/2019JA026554
|
| [15] |
HSU C T, MATSUO T, WANG W B, et al. Effects of inferring unobserved thermospheric and ionospheric state variables by using an Ensemble Kalman Filter on global ionospheric specification and forecasting[J]. Journal of Geophysical Research: Space Physics, 2014, 119(11): 9256-9267 doi: 10.1002/2014JA020390
|
| [16] |
何建辉, 乐新安. 基于热层电离层耦合数据同化的热层参量估计[J]. 地球物理学报, 2020, 63(7): 2497-2505 doi: 10.6038/cjg2020N0267
HE Jianhui, YUE Xin’an. The estimation of thermosphere state variables based on coupled thermosphere and ionosphere data assimilation[J]. Chinese Journal of Geophysics, 2020, 63(7): 2497-2505 doi: 10.6038/cjg2020N0267
|
| [17] |
BUST G S, GARNER T W, GAUSSIRAN T L. Ionospheric Data Assimilation three-dimensional (IDA3D): a global, multisensor, electron density specification algorithm[J]. Journal of Geophysical Research: Space Physics, 2004, 109(A11): A11312 doi: 10.1029/2003JA010234
|
| [18] |
BUST G S, CROWLEY G, GARNER T W, et al. Four-dimensional GPS imaging of space weather storms[J]. Space Weather, 2007, 5(2): S02003 doi: 10.1029/2006SW000237
|
| [19] |
LIN C Y, MATSUO T, LIU J Y, et al. Ionospheric assimilation of radio occultation and ground-based GPS data using non-stationary background model error covariance[J]. Atmospheric Measurement Techniques, 2015, 8(1): 171-182 doi: 10.5194/amt-8-171-2015
|
| [20] |
LIN C Y, MATSUO T, LIU J Y, et al. Data assimilation of ground-based GPS and radio occultation total electron content for global ionospheric specification[J]. Journal of Geophysical Research: Space Physics, 2017, 122(10): 10,876-10,886 doi: 10.1002/2017JA024185
|
| [21] |
GALKIN I A, REINISCH B W, HUANG X, et al. Assimilation of GIRO data into a real-time IRI[J]. Radio Science, 2012, 47(4): RS0L07 doi: 10.1029/2011RS004952
|
| [22] |
AA E, HUANG W G, YU S M, et al. A regional ionospheric TEC mapping technique over China and adjacent areas on the basis of data assimilation[J]. Journal of Geophysical Research: Space Physics, 2015, 120(6): 5049-5061 doi: 10.1002/2015JA021140
|
| [23] |
AA E, LIU S Q, HUANG W G, et al. Regional 3-D ionospheric electron density specification on the basis of data assimilation of ground-based GNSS and radio occultation data[J]. Space Weather, 2016, 14(6): 433-448 doi: 10.1002/2016SW001363
|
| [24] |
YUE X A, SCHREINER W S, KUO Y H, et al. Observing system simulation experiment study on imaging the ionosphere by assimilating observations from ground GNSS, LEO-based radio occultation and ocean reflection, and cross link[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(7): 3759-3773 doi: 10.1109/TGRS.2013.2275753
|
| [25] |
YUE X A, SCHREINER W S, KUO Y H, et al. Global 3-D ionospheric electron density reanalysis based on multisource data assimilation[J]. Journal of Geophysical Research: Space Physics, 2012, 117(A9): A09325 doi: 10.1029/2012JA017968
|
| [26] |
WANG S C, HUANG S X, FANG H X. Estimating of the global ionosphere maps using hybrid data assimilation method and their background influence analysis[J]. Journal of Geophysical Research: Space Physics, 2020, 125(8): e2020JA028047 doi: 10.1029/2020JA028047
|
| [27] |
AA E, RIDLEY A, HUANG W G, et al. An ionosphere specification technique based on data ingestion algorithm and empirical orthogonal function analysis method[J]. Space Weather, 2018, 16(9): 1410-1423 doi: 10.1029/2018SW001987
|
| [28] |
NAVA B, RADICELLA S M, AZPILICUETA F. Data ingestion into NeQuick 2[J]. Radio Science, 2011, 46(6): RS0D17 doi: 10.1029/2010RS004635
|
| [29] |
BRUNINI C, AZPILICUETA F, GENDE M, et al. Ground- and space-based GPS data ingestion into the NeQuick model[J]. Journal of Geodesy, 2011, 85(12): 931-939 doi: 10.1007/s00190-011-0452-4
|
| [30] |
ZHAI C Z, LU G, YAO Y B, et al. 3-D tomographic reconstruction of SED plume during 17 March 2013 storm[J]. Journal of Geophysical Research: Space Physics, 2020, 125(11): e2020JA028257 doi: 10.1029/2020JA028257
|
| [31] |
FULLER-ROWELL T, ARAUJO-PRADERE E, MINTER C, et al. US-TEC: a new data assimilation product from the space environment center characterizing the ionospheric total electron content using real-time GPS data[J]. Radio Science, 2006, 41(6): RS6003 doi: 10.1029/2005RS003393
|
| [32] |
MIYAKE W, JIN H. Near-real time monitoring of TEC over Japan at NICT (RWC Tokyo of ISES)[J]. Advances in Geosciences, 2010, 21: 143-153
|
| [33] |
AA E, ZHANG S R, ERICKSON P J, et al. 3-D regional ionosphere imaging and SED reconstruction with a new TEC-based ionospheric data assimilation system (TIDAS)[J]. Space Weather, 2022, 20(4): e2022SW003055 doi: 10.1029/2022SW003055
|
| [34] |
AA E, ZHANG S R, WANG W B, et al. Multiple longitude sector Storm-Enhanced Density (SED) and long-lasting Subauroral Polarization Stream (SAPS) during the 26-28 February 2023 geomagnetic storm[J]. Journal of Geophysical Research: Space Physics, 2023, 128(9): e2023JA031815 doi: 10.1029/2023JA031815
|
| [35] |
AA E, ZHANG S R, ERICKSON P J, et al. 3-D ionospheric imaging over the South American region with a new TEC-based Ionospheric Data Assimilation System (TIDAS-SA)[J]. Space Weather, 2024, 22(2): e2023SW003792 doi: 10.1029/2023SW003792
|
| [36] |
AA E, FORSYTHE V V, ZHANG S R, et al. Next-decade needs for 3-D ionosphere imaging[J]. Frontiers in Astronomy and Space Sciences, 2023, 10: 1186513 doi: 10.3389/fspas.2023.1186513
|
| [37] |
WANG X, AA E, CHEN Y H, et al. Midlatitude neutral wind response during the mother’s day super-intense geomagnetic storm in 2024 using observations from the chinese meridian project[J]. Journal of Geophysical Research: Space Physics, 2025, 130(4): e2024JA033574 doi: 10.1029/2024JA033574
|
| [38] |
CHEN Y H, AA E, YUAN T J, et al. The extreme depletion of ionospheric electron density and its hemispheric asymmetry during the May 2024 storm[J]. National Science Review, 2025, 12(10): nwaf307 doi: 10.1093/nsr/nwaf307
|
| [39] |
万卫星, 宁百齐, 刘立波, 等. 中国电离层TEC现报系统[J]. 地球物理学进展, 2007, 22(4): 1040-1045
WAN Weixing, NING Baiqi, LIU Libo, et al. Nowcasting the ionospheric total electron content over China[J]. Progress in Geophysics, 2007, 22(4): 1040-1045
|
| [40] |
A E C, HUANG W G, LIU S Q, et al. A regional ionospheric TEC mapping technique over China and adjacent areas: GNSS data processing and DINEOF analysis[J]. Science China Information Sciences, 2015, 58(10): 1-11 doi: 10.1007/s11432-015-5399-2
|
| [41] |
熊波, 李肖霖, 王宇晴, 等. 基于长短时记忆神经网络的中国地区电离层TEC预测[J]. 地球物理学报, 2022, 65(7): 2365-2377
XIONG Bo, LI Xiaolin, WANG Yuqing, et al. Prediction of ionospheric TEC over China based on long and short-term memory neural network[J]. Chinese Journal of Geophysics, 65(7): 2365-2377
|
| [42] |
WANG Y Q, LE H J, LIU L B, et al. Mapping the ionosphere over East Asia based on ground-based GNSS TEC data in 2010–2023[J]. Space Weather, 2025, 23(7): e2025SW004343 doi: 10.1029/2025SW004343
|
| [43] |
乐新安, 万卫星, 刘立波, 等. 基于Gauss-Markov卡尔曼滤波的电离层数值同化现报预报系统的构建——以中国及周边地区为例的观测系统模拟试验[J]. 地球物理学报, 2010, 53(4): 787-795 doi: 10.3969/j.issn.0001-5733.2010.04.003
YUE Xin’an, WAN Weixing, LIU Libo, et al. Development of an ionospheric numerical assimilation nowcast and forecast system based on Gauss-Markov Kalman filter—an observation system simulation experiment taking example for China and its surrounding area[J]. Chinese Journal of Geophysics, 2010, 53(4): 787-795 doi: 10.3969/j.issn.0001-5733.2010.04.003
|
| [44] |
WANG C, XU J Y, CHEN Z Q, et al. China’s ground-based space environment monitoring network-Chinese Meridian Project (CMP)[J]. Space Weather, 2024, 22(7): e2024SW003972 doi: 10.1029/2024SW003972
|
| [45] |
WANG C, BLANC M, ZHANG S R, et al. Progress of international meridian circle program[J]. Chinese Journal of Space Science, 2024, 44(4): 741-745 doi: 10.11728/cjss2024.04.2024-yg24
|
| [46] |
WANG C, XU J Y, LIU L B, et al. Contribution of the Chinese Meridian Project to space environment research: highlights and perspectives[J]. Science China Earth Sciences, 2023, 66(7): 1423-1438 doi: 10.1007/s11430-022-1043-3
|
| [47] |
王赤, 陈志青, 胡连欢, 等. 我国空间环境天/地基监测平台的发展态势和展望[J]. 航天器环境工程, 2021, 38(3): 225-239
WANG Chi, CHEN Zhiqing, HU Lianhuan, et al. Development and prospect of China’s space-based and ground-based space environment monitoring platforms[J]. Spacecraft Environment Engineering, 2021, 38(3): 225-239
|
| [48] |
ZHANG D H, ZHANG W, LI Q, et al. Accuracy analysis of the GPS instrumental bias estimated from observations in middle and low latitudes[J]. Annales Geophysicae, 2010, 28(8): 1571-1580 doi: 10.5194/angeo-28-1571-2010
|
| [49] |
KALMAN R E. A new approach to linear filtering and prediction problems[J]. Journal of Basic Engineering, 1960, 82(1): 35-45 doi: 10.1115/1.3662552
|
| [50] |
KALMAN R E, BUCY R S. New results in linear filtering and prediction theory[J]. Journal of Basic Engineering, 1961, 83(1): 95-108 doi: 10.1115/1.3658902
|
| [51] |
BARKER D M, HUANG W, GUO Y R, et al. A three-dimensional variational data assimilation system for MM5: implementation and initial results[J]. Monthly Weather Review, 2004, 132(4): 897-914 doi: 10.1175/1520-0493(2004)132<0897:ATVDAS>2.0.CO;2
|
| [52] |
LI G Z, NING B Q, WANG C, et al. Storm-enhanced development of postsunset equatorial plasma bubbles around the meridian 120°E/60°W on 7-8 September 2017[J]. Journal of Geophysical Research: Space Physics, 2018, 123(9): 7985-7998 doi: 10.1029/2018JA025871
|
| [53] |
HU L H, LI G Z, NING B Q, et al. Extremely long-range observations of ionospheric irregularities in a large longitude zone from Pacific to Africa using a low latitude over-the-Horizon radar in China[J]. Geophysical Research Letters, 2024, 51(16): e2024GL109579 doi: 10.1029/2024GL109579
|
| [54] |
SUN W J, WU B Y, WU Z, et al. IONISE: an ionospheric observational network for irregularity and scintillation in East and Southeast Asia[J]. Journal of Geophysical Research: Space Physics, 2020, 125(8): e2020JA028055 doi: 10.1029/2020JA028055
|
| [55] |
AA E, HUANG W G, LIU S Q, et al. Midlatitude plasma bubbles over China and adjacent areas during a magnetic storm on 8 September 2017[J]. Space Weather, 2018, 16(3): 321-331 doi: 10.1002/2017SW001776
|
| [56] |
SUN W J, LI G Z, ZHANG S R, et al. Regional ionospheric super bubble induced by significant upward plasma drift during the 1 December 2023 geomagnetic storm[J]. Journal of Geophysical Research: Space Physics, 2024, 129(6): e2024JA032430 doi: 10.1029/2024JA032430
|
| [57] |
CHERNIAK I, ZAKHARENKOVA I. First observations of super plasma bubbles in Europe[J]. Geophysical Research Letters, 2016, 43(21): 11,137-11,145 doi: 10.1002/2016GL071421
|
| [58] |
AA E, ZOU S S, RIDLEY A, et al. Merging of storm time midlatitude traveling ionospheric disturbances and equatorial plasma bubbles[J]. Space Weather, 2019, 17(2): 285-298 doi: 10.1029/2018SW002101
|
| [59] |
AA E, ZHANG S R, ERICKSON P J, et al. 3-D ionospheric electron density variations during the 2017 great American solar eclipse: a revisit[J]. Atmosphere, 2023, 14(9): 1379 doi: 10.3390/atmos14091379
|
| [60] |
AA E, COSTER A J, ZHANG S R, et al. 2-D total electron content and 3-D ionospheric electron density variations during the 14 October 2023 annular solar eclipse[J]. Journal of Geophysical Research: Space Physics, 2024, 129(3): e2024JA032447 doi: 10.1029/2024JA032447
|
| [61] |
AA E, HUBA J, ZHANG S R, et al. Multi-instrument and SAMI3-TIDAS data assimilation analysis of three-dimensional ionospheric electron density variations during the April 2024 total solar eclipse[J]. Journal of Geophysical Research: Space Physics, 2024, 129(9): e2024JA032955 doi: 10.1029/2024JA032955
|