Can We Intercalibrate Satellite Measurements by Means of Data Assimilation? An Attempt on LEO Satellites
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....
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Wiley
2024-01-01
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| Series: | Space Weather |
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| Online Access: | https://doi.org/10.1029/2023SW003624 |
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| author | Angélica M. Castillo Yuri Y. Shprits Nikita A. Aseev Artem Smirnov Alexander Drozdov Sebastian Cervantes Ingo Michaelis Marina García Peñaranda Dedong Wang |
| author_facet | Angélica M. Castillo Yuri Y. Shprits Nikita A. Aseev Artem Smirnov Alexander Drozdov Sebastian Cervantes Ingo Michaelis Marina García Peñaranda Dedong Wang |
| author_sort | Angélica M. Castillo |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-44177813b6b247f599c896cb1453f931 |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-44177813b6b247f599c896cb1453f9312025-01-14T16:26:56ZengWileySpace Weather1542-73902024-01-01221n/an/a10.1029/2023SW003624Can We Intercalibrate Satellite Measurements by Means of Data Assimilation? An Attempt on LEO SatellitesAngélica M. Castillo0Yuri Y. Shprits1Nikita A. Aseev2Artem Smirnov3Alexander Drozdov4Sebastian Cervantes5Ingo Michaelis6Marina García Peñaranda7Dedong Wang8GFZ German Research Centre for Geosciences Potsdam GermanyGFZ German Research Centre for Geosciences Potsdam GermanyGFZ German Research Centre for Geosciences Potsdam GermanyGFZ German Research Centre for Geosciences Potsdam GermanyDepartment of Earth, Planetary and Space Sciences University of California, Los Angeles Los Angeles CA USAUniversity of Cologne Institute of Geophysics and Meteorology Cologne GermanyGFZ German Research Centre for Geosciences Potsdam GermanyGFZ German Research Centre for Geosciences Potsdam GermanyGFZ German Research Centre for Geosciences Potsdam GermanyAbstract 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.https://doi.org/10.1029/2023SW003624radiation beltsdata assimilationdata intercalibrationLEOHEO |
| spellingShingle | Angélica M. Castillo Yuri Y. Shprits Nikita A. Aseev Artem Smirnov Alexander Drozdov Sebastian Cervantes Ingo Michaelis Marina García Peñaranda Dedong Wang Can We Intercalibrate Satellite Measurements by Means of Data Assimilation? An Attempt on LEO Satellites Space Weather radiation belts data assimilation data intercalibration LEO HEO |
| title | Can We Intercalibrate Satellite Measurements by Means of Data Assimilation? An Attempt on LEO Satellites |
| title_full | Can We Intercalibrate Satellite Measurements by Means of Data Assimilation? An Attempt on LEO Satellites |
| title_fullStr | Can We Intercalibrate Satellite Measurements by Means of Data Assimilation? An Attempt on LEO Satellites |
| title_full_unstemmed | Can We Intercalibrate Satellite Measurements by Means of Data Assimilation? An Attempt on LEO Satellites |
| title_short | Can We Intercalibrate Satellite Measurements by Means of Data Assimilation? An Attempt on LEO Satellites |
| title_sort | can we intercalibrate satellite measurements by means of data assimilation an attempt on leo satellites |
| topic | radiation belts data assimilation data intercalibration LEO HEO |
| url | https://doi.org/10.1029/2023SW003624 |
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