Document
General
Data
Science
Meteosat
IRS
ATBD
FCI
MSG
Presentation
SEVIRI
MTG
Research Fellows
Science Studies
Meeting
IASI
2022
2021
2019
2015
2014
This study focuses on the generation of proxy data for two MTG payloads, FCI and IRS.
Exploring the potential and requirements of hyperspectral sounding products to severe storm short-range forecasting.
EUMETSAT
1.1
https://www-cdn.eumetsat.int/files/2021-02/IRS-TN-016-TS%20%28IRS%20study%20final%20report%29%20-%20v1.1%20-%2023.06.2020.pdf
https://www-cdn.eumetsat.int/files/2022-11/8%20-%20Goukenleuque%20-%20L2%20Commissioning%20Plan.pdf
https://www-cdn.eumetsat.int/files/2021-07/7%20-%201550%20-%20Hultberg%20-%20Cloud%20information%20in%20the%20IRS%20L1%20product.pdf
https://www-cdn.eumetsat.int/files/2022-11/3%20-%20Stapelberg%20-%20Transmission%20Drop%20Anomaly%20-%20L2%20Analysis%20-%20MAG%20-%20102022.pdf
https://www-cdn.eumetsat.int/files/2022-11/9%20-%20Fourrie%20-%20eumetsat_2022_coopmann_web.pdf
https://www-cdn.eumetsat.int/files/2022-11/7%20-%20Stapelberg%20-%20MONALiSA%20IASI%20L2%20monitoring%20as%20a%20prototype%20for%20IRS%20-%20MAG%20-%20102022%20-%20Stefan%20Stapelberg.pdf
https://www-cdn.eumetsat.int/files/2022-04/10%20-%201650%20-%20Fourrie%20-%20Assimilation%20of%20IRS%20in%20NWP.pdf
1
https://www-cdn.eumetsat.int/files/2020-04/pdf_eum_users_science_pres_foehring.pdf
2
https://www-cdn.eumetsat.int/files/2023-01/MTG-IRS%20Level%201%20Algorithm%20Theoretical%20Basis%20Document_v2.pdf
https://www-cdn.eumetsat.int/files/2020-04/pdf_eum_users_science_pres_stewart.pdf