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Shin Koyamatsu homes in on the most meaningful infrared sounder data
EUMETSAT
https://www-cdn.eumetsat.int/files/2023-03/Readme.pdf
1
https://www-cdn.eumetsat.int/files/2023-12/Readme.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_science_epssg_sca_plan.pdf
Using new machine learning methods to further the potential of EUMETSAT data
4
https://www-cdn.eumetsat.int/files/2023-12/EPS-SG%20Sentinel-5%20Level%202%20Auxiliary%20Cloud%20Product%20Format%20Specification_V4.pdf
https://www-cdn.eumetsat.int/files/2023-12/EPS-SG%20Sentinel-5%20Level%202%20Scene%20Heterogeneity%20Product%20Format%20Specification_V4.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_iasi_val_rep.pdf
https://www-cdn.eumetsat.int/files/2023-12/EPS-SG%20Sentinel-5%20Level%202%20Sulphur%20Dioxide%20Product%20Format%20Specification_V4.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_mtg_epssg_user_days_2019_rep.pdf
https://www-cdn.eumetsat.int/files/2023-03/EPS-SG%20IASI-NG%20Level%201C%20BUFR%20Product%20Format%20Specification_v4.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_is01_en.pdf