DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Hindcasting the ionosphere via assimilation of neutral mass density into physics-based models

Fernandez Gomez, Isabel and Kodikara, Timothy and Codrescu, Stefan and Borries, Claudia and Codrescu, Mihail (2020) Hindcasting the ionosphere via assimilation of neutral mass density into physics-based models. AGU Fall Meeting 2020, 1-17 Dec 2020, Online.

[img] PDF


The understanding of the upper atmosphere coupling mechanisms depends to a large extent on an accurate estimate of the true state of the Thermosphere Ionosphere system. We assimilate measurements into physics-based models to provide a better estimate of the state of the system than the one obtained using the model alone. Some of the most important parameters that define the state of the thermosphere are neutral composition and density. Since their changes can modify the production-loss processes and impact the plasma density, in this study we assimilate neutral mass density measurements to evaluate the impact that changes in the thermosphere produce in the ionosphere. The analysis is done during a period of quiet solar geomagnetic conditions (4-8 March 2008) using the physics-based Coupled Thermosphere Ionosphere Plasmasphere electrodynamics model (CTIPe) coupled to an ensemble Kalman filter (EnKF) assimilation scheme, the Thermosphere-Ionosphere Data Assimilation (TIDA). The model results from assimilating accelerometer-derived neutral mass density from CHAMP and GRACE are compared with neutral mass density independent measurements to assess the changes in the thermosphere. Total Electron Content (TEC) observations from the International GNSS Service (IGS) as well as ionosonde data from the GIRO database are used to evaluate the effect over the ionosphere.

Item URL in elib:https://elib.dlr.de/139838/
Document Type:Conference or Workshop Item (Other)
Title:Hindcasting the ionosphere via assimilation of neutral mass density into physics-based models
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kodikara, TimothyUNSPECIFIEDhttps://orcid.org/0000-0003-4099-9966UNSPECIFIED
Borries, ClaudiaUNSPECIFIEDhttps://orcid.org/0000-0001-9948-3353UNSPECIFIED
Codrescu, MihailSWPC, NOAA, Boulderhttps://orcid.org/0000-0001-7216-9858UNSPECIFIED
Date:10 December 2020
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Data assimilation, Ionosphere-Thermosphere system, physics-based model
Event Title:AGU Fall Meeting 2020
Event Location:Online
Event Type:international Conference
Event Dates:1-17 Dec 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Interaction Processes (old)
Location: Neustrelitz
Institutes and Institutions:Institute for Solar-Terrestrial Physics > Solar-Terrestrial Coupling Processes
Deposited By: Fernandez Gomez, PhD. Isabel
Deposited On:20 Jan 2021 14:18
Last Modified:08 Mar 2021 07:49

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.