Document
General
Atmospheric composition
Science
Meteosat
Climate
Data
Metop
MFG
MSG
SEVIRI
Science Studies
Calibration
Himawari
GOES
2020
2019
2018
2015
EUMETSAT
1
https://www-cdn.eumetsat.int/files/2020-04/pdf_report_ash_detection.pdf
Providing tools and analysis to support long-term, stable volcanic ash retrieval concepts.
Investigating AMV speed biases anomalies observed in the tropics and extratropics.
This study continued previous work to provide instantaneous retrievals of aerosol load from SEVIRI observations.
Studying the impact of undetected clouds on image navigation quality assessment.
The purpose of this study was to develop a Deep Convective Cloud Reference Model to increase the capabilities of the current vicarious calibration system for reflective solar bands.
1.0
https://www-cdn.eumetsat.int/files/2020-04/pdf_ss_i_aerus_geo_final_rep.pdf