Two‐Line Elements Based Thermospheric Mass Density Specification From Parameter Optimization of a Physics‐Based Model
Abstract Accurately estimating the mass density of the thermosphere can assist satellite operators in planning missions and optimizing satellite orbits, reducing the risk of collisions. The newly developed GOFT (Global Observation‐based Forecast for the Thermosphere) model specifies thermospheric ma...
Saved in:
Main Authors: | Dexin Ren, Jiuhou Lei |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-09-01
|
Series: | Space Weather |
Subjects: | |
Online Access: | https://doi.org/10.1029/2023SW003553 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite
by: Dexin Ren, et al.
Published: (2020-08-01) -
Real‐Time Thermospheric Density Estimation via Two‐Line Element Data Assimilation
by: David J. Gondelach, et al.
Published: (2020-02-01) -
Physics‐Based Approach to Thermospheric Density Estimation Using CubeSat GPS Data
by: Shaylah M. Mutschler, et al.
Published: (2023-01-01) -
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) -
Machine Learning Based Modeling of Thermospheric Mass Density
by: Qian Pan, et al.
Published: (2024-05-01)