First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer
<p>This paper introduces a cloud retrieval algorithm for the Geostationary Environmental Monitoring Spectrometer (GEMS), the first environmental geostationary orbit satellite, and validates its cloud products by comparing them with those produced by other instruments (OMI, TROPOMI, AMI, and CA...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2024-01-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://amt.copernicus.org/articles/17/453/2024/amt-17-453-2024.pdf |
| _version_ | 1827375472344825856 |
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| author | B.-R. Kim B.-R. Kim G. Kim M. Cho Y.-S. Choi J. Kim |
| author_facet | B.-R. Kim B.-R. Kim G. Kim M. Cho Y.-S. Choi J. Kim |
| author_sort | B.-R. Kim |
| collection | DOAJ |
| description | <p>This paper introduces a cloud retrieval algorithm for the Geostationary Environmental Monitoring Spectrometer (GEMS), the first environmental geostationary orbit satellite, and validates its cloud products by comparing them with those produced by other instruments (OMI, TROPOMI, AMI, and CALIOP). The GEMS cloud products are corrected for the impact of clouds on the retrieval of atmospheric components using the O<span class="inline-formula"><sub>2</sub></span>–O<span class="inline-formula"><sub>2</sub></span> absorption band to retrieve the effective cloud fraction and cloud centroid pressure. The performance of the GEMS cloud retrieval algorithm was similar to that of the OMI. We analyzed the cloud retrieval characteristics for air pollution, typhoons, and sea fog in the East Asian region to evaluate whether GEMS cloud data can accurately represent various cloud features. Also, we evaluated the accuracy of the cloud retrieval algorithm through monthly validation for 2 years. The validation results provide a basis for future improvements of the GEMS cloud retrieval algorithm.</p> |
| first_indexed | 2024-03-08T11:51:21Z |
| format | Article |
| id | doaj.art-5cd8027743ae46658e4035bc4bf1ac0c |
| institution | Directory Open Access Journal |
| issn | 1867-1381 1867-8548 |
| language | English |
| last_indexed | 2024-03-08T11:51:21Z |
| publishDate | 2024-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Measurement Techniques |
| spelling | doaj.art-5cd8027743ae46658e4035bc4bf1ac0c2024-01-24T10:13:21ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482024-01-011745347010.5194/amt-17-453-2024First results of cloud retrieval from the Geostationary Environmental Monitoring SpectrometerB.-R. Kim0B.-R. Kim1G. Kim2M. Cho3Y.-S. Choi4J. Kim5Satellite Application Division, National Satellite Operation and Application Center, Korea Aerospace Research Institute, Daejeon 34133, Republic of KoreaDepartment of Atmospheric Science and Engineering, Ewha Womans University, Seoul 03760, Republic of KoreaDepartment of Climate and Energy Systems Engineering, Ewha Womans University, Seoul 03760, Republic of KoreaDepartment of Climate and Energy Systems Engineering, Ewha Womans University, Seoul 03760, Republic of KoreaDepartment of Climate and Energy Systems Engineering, Ewha Womans University, Seoul 03760, Republic of KoreaDepartment of Atmospheric Science, Yonsei University, Seoul 03722, Republic of Korea <p>This paper introduces a cloud retrieval algorithm for the Geostationary Environmental Monitoring Spectrometer (GEMS), the first environmental geostationary orbit satellite, and validates its cloud products by comparing them with those produced by other instruments (OMI, TROPOMI, AMI, and CALIOP). The GEMS cloud products are corrected for the impact of clouds on the retrieval of atmospheric components using the O<span class="inline-formula"><sub>2</sub></span>–O<span class="inline-formula"><sub>2</sub></span> absorption band to retrieve the effective cloud fraction and cloud centroid pressure. The performance of the GEMS cloud retrieval algorithm was similar to that of the OMI. We analyzed the cloud retrieval characteristics for air pollution, typhoons, and sea fog in the East Asian region to evaluate whether GEMS cloud data can accurately represent various cloud features. Also, we evaluated the accuracy of the cloud retrieval algorithm through monthly validation for 2 years. The validation results provide a basis for future improvements of the GEMS cloud retrieval algorithm.</p>https://amt.copernicus.org/articles/17/453/2024/amt-17-453-2024.pdf |
| spellingShingle | B.-R. Kim B.-R. Kim G. Kim M. Cho Y.-S. Choi J. Kim First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer Atmospheric Measurement Techniques |
| title | First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer |
| title_full | First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer |
| title_fullStr | First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer |
| title_full_unstemmed | First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer |
| title_short | First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer |
| title_sort | first results of cloud retrieval from the geostationary environmental monitoring spectrometer |
| url | https://amt.copernicus.org/articles/17/453/2024/amt-17-453-2024.pdf |
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