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Shin Koyamatsu homes in on the most meaningful infrared sounder data
Using new machine learning methods to further the potential of EUMETSAT data
Study implements the latest evolution of the Piece-Wise Linear (PWLR) Algorithm for IASI.
EUMETSAT
1
https://www-cdn.eumetsat.int/files/2020-04/pdf_iasi_val_rep.pdf
https://www-cdn.eumetsat.int/files/2022-07/final_report_6%2C7%2C8.pdf
https://www-cdn.eumetsat.int/files/2022-07/Independent%20validation%20of%20CH4%20products%20from%20IASI%20%28ITT%2018_205%29%20-%20Final%20Report.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_eum_users_science_pres_letertre.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_eum_users_science_pres_gray_17.pdf
https://www-cdn.eumetsat.int/files/2022-07/01_Dils_VIMP_FP.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_eum_users_science_pres_sepulveda_18.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_eum_users_science_pres_gray.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_amv_meet_17_iasi_3d_winds.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_eum_users_science_pres_spulveda.pdf