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  Can We Intercalibrate Satellite Measurements by Means of Data Assimilation? An Attempt on LEO Satellites

Castillo Tibocha, A. M., SHPRITS, Y., Aseev, N., Smirnov, A., Drozdov, A., Cervantes, S., Michaelis, I., Garcia Penaranda, M., Wang, D. (2024): Can We Intercalibrate Satellite Measurements by Means of Data Assimilation? An Attempt on LEO Satellites. - Space Weather, 22, 1, e2023SW003624.
https://doi.org/10.1029/2023SW003624

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 Creators:
Castillo Tibocha, Angelica Maria1, Author              
SHPRITS, YURI1, Author              
Aseev, N.1, Author              
Smirnov, Artem1, Author              
Drozdov, A.2, Author              
Cervantes, Seastian3, Author
Michaelis, Ingo4, Author              
Garcia Penaranda, Marina1, Author              
Wang, D.1, Author              
Affiliations:
12.7 Space Physics and Space Weather, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_2239888              
20 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146023              
3External Organizations, ou_persistent22              
42.3 Geomagnetism, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146030              

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 Abstract: Low Earth Orbit satellites offer extensive data of the radiation belt region, but utilizing these observations is challenging due to potential contamination and difficulty of intercalibration with spacecraft measurements at Highly Elliptic Orbit that can observe all equatorial pitch-angles. This study introduces a new intercalibration method for satellite measurements of energetic electrons in the radiation belts using a Data assimilation (DA) approach. We demonstrate our technique by intercalibrating the electron flux measurements of the National Oceanic and Atmospheric Administration (NOAA) Polar-orbiting Operational Environmental Satellites (POES) NOAA-15,-16,-17,-18,-19, and MetOp-02 against Van Allen Probes observations from October 2012 to September 2013. We use a reanalysis of the radiation belts obtained by assimilating Van Allen Probes and Geostationary Operational Environmental Satellites observations into 3-D Versatile Electron Radiation Belt (VERB-3D) code simulations via a standard Kalman filter. We compare the reanalysis to the POES data set and estimate the flux ratios at each time, location, and energy. From these ratios, we derive energy and L* dependent recalibration coefficients. To validate our results, we analyze on-orbit conjunctions between POES and Van Allen Probes. The conjunction recalibration coefficients and the data-assimilative estimated coefficients show strong agreement, indicating that the differences between POES and Van Allen Probes observations remain within a factor of two. Additionally, the use of DA allows for improved statistics, as the possible comparisons are increased 10-fold. Data-assimilative intercalibration of satellite observations is an efficient approach that enables intercalibration of large data sets using short periods of data.

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Language(s): eng - English
 Dates: 2024-01-242024
 Publication Status: Finally published
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 Identifiers: DOI: 10.1029/2023SW003624
GFZPOF: p4 T3 Restless Earth
OATYPE: Gold Open Access
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Title: Space Weather
Source Genre: Journal, SCI, Scopus, oa ab 2020
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Pages: - Volume / Issue: 22 (1) Sequence Number: e2023SW003624 Start / End Page: - Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals459
Publisher: American Geophysical Union (AGU)
Publisher: Wiley