Providing precise data throughout the atmosphere
The Spinning Enhanced Visible and InfraRed Imager (SEVIRI) is MSG's primary instrument and has the capacity to observe the Earth in 12 spectral channels.
02 September 2022
28 May 2020
SEVIRI has twelve spectral channels, as opposed to three on the previous system. These provide more precise data throughout the atmosphere, giving improved quality to the starting conditions for numerical weather prediction models.
Eight of the channels are in the thermal infrared, providing, among other information, permanent data about the temperatures of clouds, land and sea surfaces. One of the channels is called the High Resolution Visible (HRV) channel, and has a sampling distance at nadir of 1km, as opposed to the 3km resolution of the other visible channels.
Using channels that absorb ozone, water vapour and carbon dioxide, MSG satellites allows meteorologists to analyse the characteristics of atmospheric air masses and reconstruct a three-dimensional view of the atmosphere.
The improved horizontal image resolution for the visible light spectral channel (1km as opposed to 2.5km) also helps weather forecasters in detecting and predicting the onset or end of severe weather.
For details on the data and products available from SEVIRI see our 0 Degree service page.
SEVIRI case studies
Instantaneous retrieval of aerosol properties from geostationary imagers using i-AERUS-GEO
This study continued previous work to provide instantaneous retrievals of aerosol load from SEVIRI observations.
Moon as reference for long term stability assessment of optical sensors
Using the Moon as a reference for long term stability assessment of optical sensors.
High Spectral Resolution Geostationary (HSR Geo) simulations
Providing simulations of geostationary top of atmosphere (TOA) radiances to EUMETSAT at high spectral resolution.
Generation of MTG FCI and IRS INR observations
This study focuses on the generation of proxy data for two MTG payloads, FCI and IRS.
Impact of undetected clouds on image navigation quality assessment
Studying the impact of undetected clouds on image navigation quality assessment.
Developing deep convective cloud reference model for vicarious calibration
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.
Validation of spectral band adjustment factors using lunar hyperspectral measurement
Validating spectral band adjustment factors using lunar hyperspectral measurements.