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EUMETSAT
1
https://www-cdn.eumetsat.int/files/2020-04/pdf_eum_users_science_pres_gray.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_eum_users_science_pres_gray_17.pdf
Exploring the potential and requirements of hyperspectral sounding products to severe storm short-range forecasting.
This study validated two different IASI methane products using model, in situ and ground-based remote sensing data.
How EUMETSAT’s satellite missions help shine light on the climate crisis.
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.
Study looking at the use of IASI Reconstructed Radiances in AC/AQ retrievals.
0
https://www-cdn.eumetsat.int/files/2022-05/SPA-047-NT-003_Catalogue.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_iasi_val_rep.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/2022-07/Dils_CCP_IASI_conf_2021_v0.pdf