Assessment of GRAS Ionospheric Measurements for Ionospheric Model Assimilation

Author:

Hoque M. M.1ORCID,Prol F. S.2ORCID,Hernandez-Pajares M.3ORCID,Notarpietro R.4ORCID,Yuan L.1ORCID,Olivares-Pulido G.3,Graffigna V.3,Von Engeln A.4,Marquardt C.4

Affiliation:

1. German Aerospace Center (DLR), Institute for Solar-Terrestrial Physics, Kalkhorstweg 53, 17235 Neustrelitz, Germany

2. Department of Navigation and Positioning, Finnish Geospatial Research Institute (FGI), National Land Survey of Finland (NLS), Vuorimiehentie 5, 02150 Espoo, Finland

3. Department of Mathematics, Universitat Politècnica de Catalunya—Ionospheric Determination and Navigation Based on Satellite and Terrestrial Systems (UPC-IonSAT), IEEC-UPC, E08034 Barcelona, Spain

4. European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), 64293 Darmstadt, Germany

Abstract

We conducted a study to assess the GNSS (Global Navigation Satellite System) Receiver for Atmospheric Sounding (GRAS) ionospheric data quality by processing Radio Occultation (RO) observations of ionospheric products. The main objective of the study is to validate ionospheric data generated at EUMETSAT, such as ionospheric bending angle profiles, amplitude and phase scintillations, topside Total Electron Content (TEC) from MetOp-A GRAS instrument as well as generating and validating new ionospheric products derived from GRAS RO observations such as the TEC, rate of TEC and vertical electron density profiles. The assessment is conducted by comparing and evaluating the systematic differences between similar products from other Low Earth Orbit (LEO) satellite missions or from ground-based ionospheric measurements. The study confirms that the GNSS topside and RO observations recorded by the GRAS instrument onboard MetOp satellites are of good quality and are a valuable source of data for ionospheric research.

Funder

EUMETSAT

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference19 articles.

1. An introduction to the EUMETSAT Polar System;Klaes;Bull. Am. Meteorol. Soc.,2007

2. Healy, S., and Culverwell, I. (2023, January 15). A One-Dimensional Variational Ionospheric Retrieval for Truncated GNSS Radio Occultation Measurements. Ref: SAF/ROM/METO/REP/RSR/042. Available online: https://www.romsaf.org/general-documents/rsr/rsr_42.pdf.

3. Elvidge, S. (2023, January 15). Ionospheric 1D-Var Retrieval Assessment. Ref: SAF/ROM/DMI/REP/VS/39. Available online: https://www.romsaf.org/Publications/reports/romsaf_vs39_rep_v10.pdf.

4. Electron density extrapolation above F2 peak by the linear Vary-Chap model supporting new Global Navigation Satellite Systems-LEO occultation missions;Rius;J. Geophys. Res. Space Phys.,2017

5. Electron density retrieval from truncated radio occulta-tion GNSS data;Lyu;J. Geophys. Res. Space Phys.,2019

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