Evaluation on the Quasi‐Realistic Ionospheric Prediction Using an Ensemble Kalman Filter Data Assimilation Algorithm

[1]  Cathryn N. Mitchell,et al.  A comparison of the effects of initializing different thermosphere‐ionosphere model fields on storm time plasma density forecasts , 2013 .

[2]  Timothy Fuller-Rowell,et al.  Global Assimilation of Ionospheric Measurements (GAIM) , 2001 .

[3]  Wenbin Wang,et al.  Effects of inferring unobserved thermospheric and ionospheric state variables by using an Ensemble Kalman Filter on global ionospheric specification and forecasting , 2014 .

[4]  Bodo W. Reinisch,et al.  Assimilation of GIRO data into a real‐time IRI , 2012 .

[5]  Henry Rishbeth,et al.  How the thermospheric circulation affects the ionospheric F2-layer , 1998 .

[6]  Larry J. Paxton,et al.  Comparison of Global Ultraviolet Imager limb and disk observations of column O/N2 during a geomagnetic storm , 2008 .

[7]  Kevin Raeder,et al.  Analysis and Hindcast Experiments of the 2009 Sudden Stratospheric Warming in WACCMX+DART , 2018 .

[8]  R. W. Spiro,et al.  A model of the high‐latitude ionospheric convection pattern , 1982 .

[9]  Xinan Yue,et al.  Quantitative evaluation of the low Earth orbit satellite based slant total electron content determination , 2011 .

[10]  Chien-Hung Lin,et al.  Assimilation of FORMOSAT-3/COSMIC electron density profiles into a coupled thermosphere/ionosphere model using ensemble Kalman filtering , 2012 .

[11]  Thomas L. Gaussiran,et al.  Ionospheric Data Assimilation Three‐Dimensional (IDA3D): A global, multisensor, electron density specification algorithm , 2004 .

[12]  P. Houtekamer,et al.  Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .

[13]  Xinan Yue,et al.  EnKF Ionosphere and Thermosphere Data Assimilation Algorithm Through a Sparse Matrix Method , 2019, Journal of Geophysical Research: Space Physics.

[14]  Xiaoqing Pi,et al.  Development of the Global Assimilative Ionospheric Model , 2004 .

[15]  Tomoko Matsuo,et al.  Thermospheric mass density specification using an ensemble Kalman filter , 2013 .

[16]  Chengli She,et al.  Estimation of Ionospheric Total Electron Content From a Multi-GNSS Station in China , 2020, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Raymond G. Roble,et al.  A thermosphere/ionosphere general circulation model with coupled electrodynamics , 1992 .

[18]  Xinan Yue,et al.  Data assimilation of incoherent scatter radar observation into a one‐dimensional midlatitude ionospheric model by applying ensemble Kalman filter , 2007 .

[19]  Tomoko Matsuo,et al.  Modeling the ionospheric prereversal enhancement by using coupled thermosphere‐ionosphere data assimilation , 2017 .

[20]  Larry J. Paxton,et al.  First look at the 20 November 2003 superstorm with TIMED/GUVI: Comparisons with a thermospheric global circulation model , 2005 .

[21]  Larry J. Paxton,et al.  Satellite remote sensing of thermospheric O/N2 and solar EUV: 1. Theory , 1995 .

[22]  Robert W. Schunk,et al.  Global Assimilation of Ionospheric Measurements‐Gauss Markov model: Improved specifications with multiple data types , 2014 .

[23]  Larry J. Paxton,et al.  Ionospheric data assimilation and forecasting during storms , 2016 .

[24]  Anthea J. Coster,et al.  Automated GPS processing for global total electron content data , 2006 .

[25]  Kayo Ide,et al.  Assessment of the Impact of FORMOSAT‐7/COSMIC‐2 GNSS RO Observations on Midlatitude and Low‐Latitude Ionosphere Specification: Observing System Simulation Experiments Using Ensemble Square Root Filter , 2018 .

[26]  Xiaoqing Pi,et al.  Estimation of E × B drift using a global assimilative ionospheric model: An observation system simulation experiment , 2003 .

[27]  G. Evensen Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .

[28]  Yu-Cheng Lin,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 , 2014, IEEE Transactions on Geoscience and Remote Sensing.