C. Wang

发表

An adjoint method based approach to data assimilation for a distributed parameter model for the ionosphere

B. Wilson, X. Pi, I. Rosen, 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

Data assimilation of ground GPS total electron content into a physics‐based ionospheric model by use of the Kalman filter

Xiaoqing Pi, I. G. Rosen, Brian Wilson, 2004 .

Ensemble Modeling with Data Assimilation Models: A New Strategy for Space Weather Specifications, Forecasts, and Science

B. Wilson, A. Komjathy, A. Mannucci, 2014 .

A performance evaluation of the operational Jet Propulsion Laboratory/University of Southern California Global Assimilation Ionospheric Model (JPL/USC GAIM)

Xiaoqing Pi, Anthony J. Mannucci, Lukas Mandrake, 2005 .

Space weather forecasting with a Multimodel Ensemble Prediction System (MEPS)

B. Wilson, A. Mannucci, M. Butala, 2016 .

3-Dimensional Assimilative Ionospheric Modeling for Regions of Large TEC Gradient

B. Wilson, A. Komjathy, A. Mannucci, 2004 .

Medium‐Range Thermosphere‐Ionosphere Storm Forecasts

A. Mannucci, C. Wang, X. Pi, 2014 .

Comparison between SUPIM simulations and measured TEC for the January, 1997 storm

G. J. Bailey, C. Wang, G. Hajj, 2000 .

COSMIC GPS Ionospheric Sensing and Space Weather

Xiaoqing Pi, William S. Schreiner, Larry J. Romans, 2000 .

Solar polar orbit radio telescope for space weather forecast

J. Wu, C. Wang, C. Wang, 2007 .

Challenges in Specifying and Predicting Space Weather

Robert W. Schunk, A. Mannucci, R. Schunk, 2017, Space Weather.

Correction of atmospheric delay effects in radar interferometry using a nested mesoscale atmospheric model

G. Wadge, C. Wang, I. N. James, 2010 .