Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite
Abstract Accurate forecast of the thermospheric density is critical to the space community. The data assimilation approach that is based on the self‐consistent upper‐atmosphere model may provide better predictive capability of the coupled thermosphere system. In this study, a physics‐based assimilat...
Saved in:
| Main Authors: | Dexin Ren, Jiuhou Lei |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-08-01
|
| Series: | Space Weather |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2020SW002504 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Self‐Consistent Optimization of Electron and Neutral Densities in a Physics‐Based Model Toward Ionosphere‐Thermosphere Forecast
by: Shuwei Liu, et al.
Published: (2025-06-01) -
Thermospheric Neutral Density Data Assimilation System Based on the Whole Atmosphere Model During the November 2003 Storm
by: Ching‐Chung Cheng, et al.
Published: (2024-10-01) -
Impact of Thermospheric Mass Density on the Orbit Prediction of LEO Satellites
by: Changyong He, et al.
Published: (2020-01-01) -
Physics‐Based Approach to Thermospheric Density Estimation Using CubeSat GPS Data
by: Shaylah M. Mutschler, et al.
Published: (2023-01-01) -
Qualitative and Quantitative Assessment of the SET HASDM Database
by: Richard J. Licata, et al.
Published: (2021-08-01)