Storm Time Data Assimilation in the Thermosphere Ionosphere with TIDA Journal Article uri icon

Overview

abstract

  • Data assimilation schemes with empirical background models of the; ionosphere are already in operational use. However such methods suffer; during disturbed conditions when large gradients are present and are; moving relatively fast through the modeled domain. Also, such schemes; have limited forecasting capabilities. In order to improve disturbed; conditions modeling, more sophisticated assimilation schemes based on; sparse measurements for the coupled thermosphere ionosphere system are; needed. We have implemented an ensemble Kalman Filter (enKF) for the; Thermosphere-Ionosphere (TI) system. We used the Coupled Thermosphere; Ionosphere Plasmasphere electrodynamics (CTIPe) model as the background; for an assimilation scheme and created the Thermosphere Ionosphere Data; Assimilation (TIDA) software package. We published our first paper; discussing neutral mass density assimilation during quiet geomagnetic; conditions in Space Weather in 2018. In this paper we present results; from experiments during the 2003 Halloween Storm, 27-31 October 2003,; under very disturbed (K$_p$ = 9) conditions while assimilating; GRACE-A and B, and CHAMP neutral density measurements. TIDA was able to; simulate this disturbed period without using the L1 solar wind; measurements which were contaminated by solar energetic protons, by; estimating the model inputs from the density measurements. TIDA is being; prepared to offer specification and short term forecasts of neutral; density for satellite drag and debris collision avoidance for space; traffic management. We also plan to offer long term (solar cycle; length), average neutral density estimation for satellite fleet; management.

publication date

  • January 22, 2021

has restriction

  • hybrid

Date in CU Experts

  • February 4, 2021 2:36 AM

Full Author List

  • Codrescu MV; Codrescu SM; Fedrizzi M

author count

  • 3

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