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The data provided by Meteosat second generation can be accessed in various ways.
Study examined the Met Office lightning location network (ATDnet) with requirements for MTG Lightning Imager.
Validating spectral band adjustment factors using lunar hyperspectral measurements.
Providing simulations of geostationary top of atmosphere (TOA) radiances to EUMETSAT at high spectral resolution.
Developing a novel algorithm for the generation of an atmospheric obstruction mask for Sentinel-3.
Presentation from Dr Franco Fois, of Airbus Defence and Space.
Air quality, long-range transport & threat monitoring of suspended air particles.
Study by Dr Eric Bruning, Department of Geosciences, Texas Tech University.
EUMETSAT offers attractive employment conditions including health and social welfare provision
Historical geostationary satellite data from 1977 to 2017.
EUMETSAT offers a small number of internships every year to students on courses with mandatory internship requirements
Our satellites orbit the Earth at the same speed as the Earth rotates, thus observing systematically the same part of the Earth.
Comparing data from ISS-LIS with various ground-based lightning detection systems.
Improving cloud detection in coastal regions for S3 SLSTR SST products.
Studying the impact of undetected clouds on image navigation quality assessment.
The MIDAS project studied the use of scatterometer wind data within mesoscale Numerical Weather Prediction (NWP) models.
This study validated two different IASI methane products using model, in situ and ground-based remote sensing data.
Optimising the GRASP algorithm for 3MI L2 aerosol retrieval.
How to extend the currently existing single scattering properties databases for frozen hydrometeors.
Validating the MTG Lightning Imager (LI) with scenarios of Lightning Mapping Array (LMA) in-field campaigns in Africa.
Discover our new imagery stream directly from the Meteosat and Copernicus Sentinel-3 satellites.