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Satellite data were used to monitor a red tide event in South Africa in early 2022.
This study developed a cloud radiation database to be used operationally within the cloud ice retrieval algorithm for the EUMETSAT EPS-SG.
The MIDAS project studied the use of scatterometer wind data within mesoscale Numerical Weather Prediction (NWP) models.
Quantifying ocean carbon is essential for understanding climate change.
This study used airborne and ground-based observations to test clear-sky atmospheric absorption models.
Two upcoming satellite programmes – MTG and EPS-SG – will be game changers for Africa.
ADD-CROSS assesses the impact of cross-channel assimilation on air quality and numerical weather prediction (NWP).
The study examined the impact of ice and on-ice snow properties of northern lakes.
AboutThe purpose of this study is to help estimate the individual impacts of current Aeolus observations and future EPS-Aeolus-like observations on NWP.
This study aimed to enhance the EUMETSAT vicarious calibration system across a selection of bright desert pseudo-invariant calibration sites.
The bloom is most likely caused by coccolithophores (cyan colour) and other phytoplankton species. Phytoplankton play a key role in marine ecosystems as the basis of the food chain.
The bright offshore bloom is most likely caused by coccolithophores, microscopic single-celled plant-like organisms that live in large numbers throughout the upper layers of the ocean.