Couleur naturelle RGB
The Natural Colour RGB (Red, Green, Blue) makes use of three solar channels: NIR1.6, VIS0.8 and VIS0.6. In this colour scheme vegetation appears greenish because of its large reflectance in the VIS0.8 channel (the green beam) compared to the NIR1.6 (red beam) and VIS0.6 (blue beam) channels. Water clouds with small droplets have large reflectance at all three channels and hence appear whitish, while snow and ice clouds appears cyan because ice strongly absorbs in NIR1.6 (no red). Bare ground appears brown because of the larger reflectance in the NIR1.6 than at VIS0.6, and the ocean appears black because of the low reflectance in all three channels. From 1 June 2022, Meteosat-9 at 45.5° E is the prime satellite for the IODC service, replacing Meteosat-8 (located at 41.5° E while in operation).
Day Microphysics RGB - MSG - Indian Ocean
The Day Microphysics RGB (Red, Green, Blue) was inherited from Rosenfeld and Lensky (1998): the VIS0.8 reflectance in red approximates the cloud optical depth and amount of cloud water and ice; the IR3.9 solar reflectance in green is a qualitative measure for cloud particle size and phase, and the IR10.8 brightness temperature modulates the blue. This color scheme is useful for cloud analysis, convection, fog, snow, and fires. In this colour scheme water clouds that do not precipitate appear white because cloud drops are small, whereas large drops that are typical to precipitating clouds appear pink, because of the low reflectance at IR3.9 manifested as low green. Supercooled water clouds appear more yellow, because the lower temperature that modulate the blue component. Cold and thick clouds with tops composed of large ice particles, e.g., Cb tops, appear red. Optically thick clouds with small ice particles near their tops appear orange. From 1 June 2022, Meteosat-9 at 45.5° E is the prime satellite for the IODC service, replacing Meteosat-8 (located at 41.5° E while in operation).
Active Fire Monitoring (GRIB) - MSG - Indian Ocean
The active fire monitoring product is a fire detection product indicating the presence of fire within a pixel. The underlying concept of the algorithm takes advantage of the fact that SEVIRI channel IR3.9 is very sensitive to hot spots which are caused by fires. The algorithm distinguishes between potential fire and active fire. Applications and Users: Fire detection and monitoring. This product is available in CAP (Common Alert Protocol) format. The CAP formatted product is only disseminated when a fire/potential fire is detected in any given repeat cycle. Please note, the MSG SEVIRI instrument presents some limitations when using it for fire detection, and this could lead in a underestimation of pixel with actual fire. This underestimation can be caused by: - The “fire channel” of SEVIRI (IR3.9) being up to 5 K colder than a “clean” channel due to CO2 absorption. - The low spatial resolution. - The limited dynamic range of the 3.9 µm channel (335 K for SEVIRI), which does not make it ideal for hot fires. From 1 June 2022, Meteosat-9 at 45.5° E is the prime satellite for the IODC service, replacing Meteosat-8 (located at 41.5° E while in operation).
Precipitation rate at ground by GEO/IR supported by LEO/MW - MSG - Indian Ocean
Instantaneous precipitation maps over IODC area generated combining geostationary (GEO) IR images from operational geostationary satellites 'calibrated' by precipitation measurements from MW images on Low Earth Orbit (LEO) satellites, processed soon after each acquisition of a new image from GEO. The blending algorithm ('Rapid Update’) generates precipitation estimates combining the equivalent blackbody temperatures (TBB) at 10.8 μm with rain rates from all available Passive MW measurements. A separate treatment is performed for convective precipitation: the morphologic information and the enhancement of precipitation estimate is done by the use of NEFODINA software.
Rapidly Developing Thunderstorms - MSG - 0 degree
Rapidly Developing Thunderstorms - Convection Warning product is a geostationary meteorological product for nowcasting applications. It is produced with the NWC-SAF Geo 2018 software package.