Thermospheric Neutral Density Data Assimilation System Based on the Whole Atmosphere Model During the November 2003 Storm
Abstract The Iterative Driver Estimation and Assimilation (IDEA) data assimilation technique was used with the Whole Atmosphere Model (WAM) to improve neutral density specification in the upper thermosphere. Two different neutral density data sources were examined to enhance the capability of simula...
Saved in:
| Main Authors: | Ching‐Chung Cheng, Timothy Fuller‐Rowell, Eric K. Sutton, Tzu‐Wei Fang, Jann‐Yenq Liu, Daniel R. Weimer |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-10-01
|
| Series: | Space Weather |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024SW004010 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Science Through Machine Learning: Quantification of Post‐Storm Thermospheric Cooling
by: Richard J. Licata, et al.
Published: (2022-09-01) -
Improving the Extraction Ability of Thermospheric Mass Density Variations From Observational Data by Deep Learning
by: Wenbo Li, et al.
Published: (2023-07-01) -
Thermospheric Wind Response to March 2023 Storm: Largest Wind Ever Observed With a Fabry‐Perot Interferometer in Tromsø, Norway Since 2009
by: S. Oyama, et al.
Published: (2024-03-01) -
Thermospheric Conditions Associated With the Loss of 40 Starlink Satellites
by: Yongliang Zhang, et al.
Published: (2022-10-01) -
Infrared Radiation in the Thermosphere From 2002 to 2023
by: Martin G. Mlynczak, et al.
Published: (2024-07-01)