WMS EUMETSAT visualizations offering via WMS

none none text/xml image/png application/atom+xml application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png image/vnd.jpeg-png8 text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html application/json XML INIMAGE BLANK JSON EUMETSAT visualizations offering via WMS EPSG:4326 EPSG:3857 EPSG:3995 EPSG:70201 EPSG:70203 EPSG:70205 EPSG:70207 EPSG:70209 EPSG:70211 EPSG:70213 EPSG:3976 CRS:84 -180.00000000000003 180.010009765625 -90.0 90.0 osmgray:dark EPSG:3857 -180.00000000000003 180.00000000000003 -85.06 85.06 osmgray:dark_labels EPSG:3857 -180.00000000000006 180.00000000000006 -85.06 85.06 1.0E8 osmgray:light EPSG:3857 -180.00000000000003 180.00000000000003 -85.06 85.06 osmgray:light_labels EPSG:3857 -180.00000000000006 180.00000000000006 -85.06 85.06 1.0E8 osmgray:builtup_area features builtup_area EPSG:3857 CRS:84 -180.00000000000003 180.00000000000003 -85.05999999999999 85.05999999999999 3000000.0 msg_fes:clm The Cloud Mask product describes the scene type (either 'clear' or 'cloudy') on a pixel level. Each pixel is classified as one of the following four types: clear sky over water, clear sky over land, cloud, or not processed (off Earth disc). Applications & Uses: The main use is in support of Nowcasting applications, where it frequently serves as a basis for other cloud products, and the remote sensing of continental and ocean surfaces. msg_fes_clm WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:clm The Cloud Mask product describes the scene type (either 'clear' or 'cloudy') on a pixel level. Each pixel is classified as one of the following four types: clear sky over water, clear sky over land, cloud, or not processed (off Earth disc). Applications & Uses: The main use is in support of Nowcasting applications, where it frequently serves as a basis for other cloud products, and the remote sensing of continental and ocean surfaces.

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). msg_iodc_clm WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_fes:cth The product indicates the height of highest cloud. Based on a subset of the information derived during Scenes and Cloud Analysis, but also makes use of other external meteorological data. Applications and Users: Aviation meteorology. msg_fes_cth WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:cth The product indicates the height of highest cloud. Based on a subset of the information derived during Scenes and Cloud Analysis, but also makes use of other external meteorological data. Applications and Users: Aviation meteorology.

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). msg_iodc_cth WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M copernicus:daily_sentinel3ab_olci_l1_rgb_fulres This product is an RGB (Red, Green, Blue) composite based upon data from S3A OLCI L1 NRT products Top-Of-Atmosphere (TOA) radiometric measurements, radiometrically corrected, calibrated and spectrally characterised. The product is composed from data from a combination of the following OLCI bands: 0a02_radiance, Oa06_radiance, Oa08_radiance. The images are generated with a pixel resolution of 0.06 degrees. The image is an incrementally accumulated product of all the orbits over an entire day. 'Ocean colour' is the change in the colour of the ocean, and other water bodies such as lakes, due to the substances dissolved and particles suspended within the water. The primary objective of OLCI products is to measure the colour of the ocean and land surface and provide information on ocean and land characteristics related to this (e.g. biology). OLCI also provides information on the atmosphere and contributes to climate studies. Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the EU Copernicus programme. copernicus_daily_sentinel3ab_olci_l1_rgb_fulres WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.006011962891 -84.3525619506836 68.8684463500977 2020-02-17T04:03:00.000Z/2026-04-06T05:03:00.000Z/PT1H41M copernicus:daily_sentinel3ab_olci_l2_chl_fullres This Ocean Colour product represents the algal pigment (Chlorophyll a) concentration in clear open waters, and it is defined by the "OC4Me" Maximum Band Ratio (MBR) semi-analytical algorithm. The product is derived from S3A and S3B OLCI L2 NRT water-leaving reflectances (calculated from the Baseline Atmospheric Correction). A maximum band ratio approach is used for reflectances at 443, 490 and 510 nm, over that 560 nm (O3 to O6). It is expressed in Units of mg/m3 as: log10 [Chl]= ∑4 x=0 =(Ax * (log10(Rij))x) which is the ratio of reflectance of band i, among 443, 490 and 510 nm, over that of band j at 560 nm. The following flags were applied: INVALID, LAND, CLOUD, CLOUD_AMBIGUOUS, CLOUD_MARGIN, SNOW_ICE, SUSPECT, HISOLZEN, SATURATED, HIGHGLINT, WHITECAPS, AC_FAIL, OC4ME_FAIL, ANNOT_TAU06. Full details of the chl_oc4me algorithm can be found in the case 1 resource link. The image is an incrementally accumulated product of all the orbits over an entire day. Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the EU Copernicus programme. copernicus_daily_sentinel3ab_olci_l2_chl_fullres WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.010009765625 -84.3672637939453 69.792121887207 2020-02-17T03:01:00.000Z/2026-04-06T08:25:00.000Z/PT1H41M copernicus:daily_sentinel3ab_slstr_l2p_sst_fullres Sea Surface Temperature (SST) is the kinetic temperature of a water body at a defined depth. Although SLSTR measures an infrared radiometric temperature, it is provided as a kinetic temperature by considering the emissivity of the water body as part of the SST retrieval process. It is important to note that the SLSTR instruments return SST measurements for the ocean 'skin'. Due to the limited penetration of thermal infra-red radiation through the water column, this corresponds to the temperature in the top few tens of micrometres. At night, the skin temperature is typically a few tenths of a degree cooler than the temperature measured by in situ systems; in the day, the skin can be considerably higher if strong diurnal warming is present. For more details please see “What is SST?” on the GHRSST web pages. The SST measurement is obtained by means of a highly accurate calibration of the three infra-red channels at 3.74, 10.85 and 12 µm (S7-S8-S9). Corrections for water vapour atmospheric absorption are performed using a triple window at night, and a split window during the day as the 3.7 µm channel is not used due to solar contamination. Each on-ground pixel is viewed twice, via nadir and oblique views with different atmospheric path lengths, allowing for correction for aerosol effects. Consequently, there are four possible retrieved SSTs, referred to as N2 (nadir-only 11 µm and 12 µm), N3 (nadir-only 3.7 µm, 11 µm and 12 µm), D2 (dual-view 11 µm and 12 µm) and D3 (dual-view 3.7 µm, 11 µm and 12 µm). A fifth retrieval algorithm, N3R is similar to N3, but uses the property of “aerosol robustness”, which is applicable in areas of high atmospheric aerosol content, e.g. near volcanoes. The product is derived from SLSTR L2 NRT data. Following derivation was applied to select the SST pixels to be plotted from WST file: - if the observation is in the nadir-only / single-view part of swath (i.e. "sst_algorithm_types" is N2, N3, N3R) then SST = sea_surface_temperature - If the observation is in the dual-view part of swath ((i.e. "sst_algorithm_types" is D2 or D3) then SST = sea_surface_temperature - dual_nadir_sst_difference. Besides, the following flags were used to select which pixels to represent and display: (quality_level >=3) and (l2p_flags.land == 0) and (l2p_flags.lake == 0) The image is an incrementally accumulated product of all the orbits over an entire day from both Sentinel-3A and -3B. The SLSTR instrument and ground processing system are required to produce SST retrievals routinely from the corresponding brightness temperatures with an absolute accuracy of better than 0.3 K, globally, both for a single sample and when averaged over areas of 0.5° longitude by 0.5° latitude, under certain cloud-free conditions (i.e. >20% cloud-free samples within each area). The SLSTR instrument also has a temporal stability of 0.1 K/decade. copernicus_daily_sentinel3ab_slstr_l2p_sst_fullres WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.010009765625 -85.2300033569336 90.0 2020-06-04T07:33:00.000Z/2026-04-06T08:00:00.000Z/PT1H41M msg_fes:fire 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. msg_fes_fire WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:fire 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). msg_iodc_fire WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_fes:gii_kindex msg_fes_gii_kindex WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2021-06-06T12:45:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:gii_kindex The GII product consists of a set of indices which describe atmospheric air mass instability in cloud free areas. These indices are highly empirical in nature and might even be only relevant in certain geographic regions or under certain circumstances.
The algorithm is a physical retrieval scheme developed at EUMETSAT. Applications and Users: Nowcasting and short term forecasting (up to 12 hours). Resolution is 3x3 pixels.
K-Index is one of the four common instability indices included in GII, and it is defined as follows
K-Index = [ T(850hPa) – T(500hPa) ] + TD(850hPa) – [ T(700hPa) – TD(700hPa) ]
Where T is the ambient temperature at the indicated levels and TD is the ambient dew point temperature at the indicated levels.

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). msg_iodc_gii_kindex WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2021-06-06T12:45:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_fes:gii_liftedindex msg_fes_gii_liftedindex WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2021-06-06T12:45:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:gii_liftedindex The GII product consists of a set of indices which describe atmospheric air mass instability in cloud free areas. These indices are highly empirical in nature and might even be only relevant in certain geographic regions or under certain circumstances.
The algorithm is a physical retrieval scheme developed at EUMETSAT. Applications and Users: Nowcasting and short term forecasting (up to 12 hours). Resolution is 3x3 pixels.
Lifted-Index is one of the four common instability indices included in GII, and it is defined as follows:
Lifted-Index = T(ambient at 500hPa) – T(parcel lifted to 500hPa)”
Where T is the air temperature at the indicated levels

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). msg_iodc_gii_liftedindex WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2021-06-06T12:45:00.000Z/2026-04-06T10:45:00.000Z/PT15M backgrounds:graticules-dark features Graticule_2_30 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 backgrounds:graticules-light features Graticule_2_30 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 msg_fes:h60b Instantaneous precipitation maps 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. msg_fes_h60b WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2022-12-09T00:45:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:h63 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. msg_iodc_h63 WCS ImageMosaic EPSG:4326 CRS:84 -35.0 125.0 -77.0 77.0 2022-12-09T08:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_fes:ir039 Rectified (level 1.5) Meteosat SEVIRI image data. The data is transmitted as High Rate transmissions in 12 spectral channels. Level 1.5 image data corresponds to the geolocated and radiometrically pre-processed image data, ready for further processing, e.g. the extraction of meteorological products. Any spacecraft specific effects have been removed, and in particular, linearisation and equalisation of the image radiometry has been performed for all SEVIRI channels. The on-board blackbody data has been processed. Both radiometric and geometric quality control information is included. To enhance the perception for areas which are on the night side of the Earth a different mapping with increased contrast is applied for IR3.9 product. The greyscale mapping is based on the EBBT which allows to map the ranges 200 K to 300 K for the night and 250 K to 330 K for the day. msg_fes_ir039 WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:ir039 Rectified (level 1.5) Meteosat SEVIRI image data. The data is transmitted as High Rate transmissions in 12 spectral channels. Level 1.5 image data corresponds to the geolocated and radiometrically pre-processed image data, ready for further processing, e.g. the extraction of meteorological products. Any spacecraft specific effects have been removed, and in particular, linearisation and equalisation of the image radiometry has been performed for all SEVIRI channels. The on-board blackbody data has been processed. Both radiometric and geometric quality control information is included. To enhance the perception for areas which are on the night side of the Earth a different mapping with increased contrast is applied for IR3.9 product. The greyscale mapping is based on the EBBT which allows to map the ranges 200 K to 300 K for the night and 250 K to 330 K for the day.

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). msg_iodc_ir039 WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_rss:ir039_nrt Rectified (level 1.5) Meteosat SEVIRI Rapid Scan image data. The baseline scan region is a reduced area of the top 1/3 of a nominal repeat cycle, covering a latitude range from approximately 15 degrees to 70 degrees. The service generates repeat cycles at 5-minute intervals (the same as currently used for weather radars). The dissemination of RSS data is similar to the normal dissemination, with image segments based on 464 lines and compatible with the full disk level 1.5 data scans. Epilogue and prologue (L1.5 Header and L1.5 Trailer) have the same structure. Calibration is as in Full Earth Scan. Image rectification is to 9.5 degreesE. The scans start at 00:00, 00:05, 00:10, 00:15 ... etc. (5 min scan). The differences from the nominal Full Earth scan are that for channels 1 - 11, only segments 6 - 8 are disseminated and for the High Resolution Visible Channel only segments 16 - 24 are disseminated. MSG_HR_RSS_Channel_IR_3_9 WCS ImageMosaic EPSG:4326 CRS:84 -64.2857055664062 84.2857055664062 13.0 78.0 2020-02-12T14:40:00.000Z/2026-04-06T11:05:00.000Z/PT5M mtg_fd:ir105_hrfi Rectified (level 1c) Meteosat FCI full disk image data in high spatial resolution (1km). Level 1c image data corresponds to the geolocated and radiometrically pre-processed image data, ready for further processing, e.g. the extraction of meteorological products. Any spacecraft-specific effects have been removed, and in particular, linearisation and equalisation of the image radiometry have been performed for all FCI channels. The onboard blackbody data has been processed. Both radiometric and geometric quality control information is included. mtg_fd_ir105_hrfi WCS ImageMosaic EPSG:4326 CRS:84 -70.0 70.0 -70.0 70.0 2024-09-23T00:00:00.000Z/2026-04-06T11:00:00.000Z/PT10M msg_fes:ir108 Rectified (level 1.5) Meteosat SEVIRI image data. The data is transmitted as High Rate transmissions in 12 spectral channels. Level 1.5 image data corresponds to the geolocated and radiometrically pre-processed image data, ready for further processing, e.g. the extraction of meteorological products. Any spacecraft specific effects have been removed, and in particular, linearisation and equalisation of the image radiometry has been performed for all SEVIRI channels. The on-board blackbody data has been processed. Both radiometric and geometric quality control information is included. msg_fes_ir108 WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:ir108 Rectified (level 1.5) Meteosat SEVIRI image data. The data is transmitted as High Rate transmissions in 12 spectral channels. Level 1.5 image data corresponds to the geolocated and radiometrically pre-processed image data, ready for further processing, e.g. the extraction of meteorological products. Any spacecraft specific effects have been removed, and in particular, linearisation and equalisation of the image radiometry has been performed for all SEVIRI channels. The on-board blackbody data has been processed. Both radiometric and geometric quality control information is included.


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). msg_iodc_ir108 WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M osmgray:land_polygons features land_polygons EPSG:3857 CRS:84 -180.00000000000003 180.00000000000003 -85.05999999999999 85.05999999999999 800000.0 mtg_fd:li_afa LI Level 2 Accumulated Flash Area (AFA) provides the user with data about flash mapping by using the area covered by the optical emission of each flash in LI Level 2 Lightning Flashes (LFL). It is important to keep in mind that each flash is treated as a flat (uniform) optical emission in this data. Accumulated Flash Area allows one to monitor the regions within a cloud top from which lightning-related optical emissions over 30 sec are emerging and accumulating and to know the number of flashes that were observed within the FCI grid pixels composing those regions. For example, from the Accumulated Flash Area, one can derive the flash rate for each pixel of the FCI 2km grid. This is a considerable improvement compared to the simple description of the flash using the variable flash_footprint available in Lightning Flashes. mtg_fd_li_afa WCS ImageMosaic EPSG:4326 CRS:84 -70.0 70.0 -70.0 70.0 2025-05-30T15:00:00.000Z/2026-04-06T11:05:00.000Z/PT5M eps:m01_ascat_wind Equivalent neutral 10m winds over the global oceans, with specific sampling to provide as many observations as possible near the coasts. Better than using this archived NRT product, please use the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-A, EO:EUM:DAT:METOP:OSI-150-B). features m01_ascat_wind EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2022-05-02T22:24:00.000Z/2026-04-06T06:00:00.000Z/PT1H40M eps:m01_ir108 This is an image of Advanced Very High Resolution Radiometer (AVHRR) channel IR 10.8 Level 1b Brightness Temperatures, accumulated over the last 6 orbits. The indicated time represents the end of the last orbit (when the satellite crosses the equator in the ascending node). The IR10.8 channel is an atmospheric window channel (where the absorption of the gas molecules is low), and it helps in distinguishing thick clouds by to their cloud top temperatures. The accumulated images are displayed mapping the same temperature range for day and night, i.e. 220 K-310 K, in order to have quite homogeneous images during the entire 24 hours and also to have a good contrast in the polar regions. The Advanced Very High Resolution Radiometer (AVHRR) is a multipurpose imaging instrument used for global monitoring of cloud cover, sea surface temperature, ice, snow and vegetation cover characteristics. It operates at 6 different channels simultaneously at a spatial resolution of about 1 Km near-nadir. AVHRR has many applications in oceanography, meteorology and terrestrial sciences: - Multi-Channel SST (MCSST) is the main geophysical parameter of use in AVHRR oceanographic applications. - Another oceanographic application of AVHRR data is in the study of sea ice. Properly filtered for clouds over ice, AVHRR imagery can be used to compute sea ice concentration, type and ice edge location. It can also be used to compute ice motion. - Multi-channel imagery from the AVHRR has also proven to be useful in snow cover mapping. The frequent coverage of the AVHRR is the prime advantage in being able to distinguish clouds from snow cover with their similar albedo signature. Combined with topographic relief information, snow cover from AVHRR can be converted to snow-water equivalent to give an estimate of the amount of water reserve represented by the winter snow pack. - Day and night cloud mapping is the main application of AVHRR data in meteorology, especially at high latitudes where data from geostationary satellites are severely affected by Earth curvature. AVHRR's frequent day/night synoptic coverage and high horizontal resolution are features that make the system unique for the study of land surface. eps_m01_ir108 WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2020-09-01T00:34:00.000Z/2026-04-06T06:34:00.000Z/PT1H40M eps:m01_orbital_tracks Orbital Track - Metop B features m01_orbital_tracks EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2021-06-06T09:55:03.000Z/2026-04-06T06:34:00.000Z/PT1S eps:m01_rgb_124 This AVHRR Cloud RGB product is an RGB (Red, Green, Blue) composite image based upon data from solar and infrared channels from Advanced Very High Resolution Radiometer/3 (AVHRR/3): channel 1 at 0.63 µm, channel 2 at 0.865 µm and channel 4 at 10.8 µm. Due to utilisation of two solar channels this RGB composite is used mostly during daytime. The images are an incremental accumulation of all the day parts of the orbits over an entire day. The indicated time represents the end of the last orbit (when the satellite crosses the equator in the ascending node). This product provides in cloudy areas information on cloud thickness and cloud top temperature, and on green vegetation fraction in cloud-free areas ('chlorophyll content': the more green vegetation there is, the greener the pixel). This RGB type is most useful during the convective periods since core and anvil of convective clouds can be seen clearly. It helps in differentiating thick and thin high-level clouds from each other and from other cloud and land features. The Advanced Very High Resolution Radiometer/3 (AVHRR/3) is a multipurpose imaging instrument used for global monitoring of cloud cover, sea surface temperature, ice, snow and vegetation cover characteristics. It operates at six different channels simultaneously at a spatial resolution of about 1 km at near-nadir. AVHRR has many applications in oceanography, meteorology and terrestrial sciences. eps_m01_rgb_124 WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2020-09-01T02:16:00.000Z/2026-04-06T06:34:00.000Z/PT1H40M eps:m01_rgb_natural_fog This is an RGB (Red, Green, Blue) composite image based upon data from solar and infrared channels from Advanced Very High Resolution Radiometer/3 (AVHRR/3). The images are a combination of two AVHRR RGB composite products: the Natural Colour (daytime product based on solar channels) and Night Microphysics (i.e. Fog) product (based upon infrared channels, tuned for night-time conditions). The product displays images composed of the last six AVHRR orbits, using the Natural Colour product in the daytime part and the Fog product in the night-time part. The indicated time represents the end of the last orbit (when the satellite crosses the equator in the ascending node). Natural Colour RGB images are created by combining data from three solar channels: 1.6 µm channel (NIR1.61, visualized in red), 0.87 µm channel (NIR0.87, visualized in green) and 0.63 µm channel (VIS0.63, visualized in blue). Its purpose is to supply general cloud analysis, by providing information on cloud top phase and cloud optical thickness in cloudy areas, and on the green vegetation fraction ('chlorophyll content') in cloud-free areas. In most cases, water clouds can be distinguished from ice clouds. Snow-covered land is easy to distinguish from snow-free land and from water clouds and fog. The colours are (relatively) close to the natural colours of the depicted features. The Night Microphysics RGB (i.e. RGB Fog) images are created by combining data from the 12.0, 10.8 and 3.74 µm channels (IR12.0, IR10.8 and IR3.74 respectively). Brightness temperature differences are displayed in red (IR12.0- IR10.8) and green (IR12.0- IR3.9), while the IR10.8 channel is shown in blue beam. Its main purpose is to distinguish fog and low clouds from cloud-free areas at night, but it contains also information on cloud top temperature, cloud optical thickness and cloud top phase, thus revealing other cloud types. Cloud-free areas contain information on low-level moisture and surface temperature. The Advanced Very High Resolution Radiometer/3 (AVHRR/3) is a multipurpose imaging instrument used for global monitoring of cloud cover, sea surface temperature, ice, snow and vegetation cover characteristics. It operates at six different channels simultaneously at a spatial resolution of about 1 Km near-nadir. AVHRR has many applications in oceanography, meteorology and terrestrial sciences. eps_m01_rgb_natural_fog WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2020-09-01T00:34:00.000Z/2026-04-06T06:34:00.000Z/PT1H40M eps:m02_ascat_wind Equivalent neutral 10m winds over the global oceans, with specific sampling to provide as many observations as possible near the coasts. Better than using this archived NRT product, please use the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-A, EO:EUM:DAT:METOP:OSI-150-B). features m02_ascat_wind EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2021-10-01T01:00:00.000Z/2021-11-15T08:54:00.000Z/PT1H40M eps:m02_ir108 This is an image of Advanced Very High Resolution Radiometer (AVHRR) channel IR 10.8 Level 1b Brightness Temperatures, accumulated over the last 6 orbits. The indicated time represents the end of the last orbit (when the satellite crosses the equator in the ascending node). The IR10.8 channel is an atmospheric window channel (where the absorption of the gas molecules is low), and it helps in distinguishing thick clouds by to their cloud top temperatures. The accumulated images are displayed mapping the same temperature range for day and night, i.e. 220 K-310 K, in order to have quite homogeneous images during the entire 24 hours and also to have a good contrast in the polar regions. The Advanced Very High Resolution Radiometer (AVHRR) is a multipurpose imaging instrument used for global monitoring of cloud cover, sea surface temperature, ice, snow and vegetation cover characteristics. It operates at 6 different channels simultaneously at a spatial resolution of about 1 Km near-nadir. AVHRR has many applications in oceanography, meteorology and terrestrial sciences: - Multi-Channel SST (MCSST) is the main geophysical parameter of use in AVHRR oceanographic applications. - Another oceanographic application of AVHRR data is in the study of sea ice. Properly filtered for clouds over ice, AVHRR imagery can be used to compute sea ice concentration, type and ice edge location. It can also be used to compute ice motion. - Multi-channel imagery from the AVHRR has also proven to be useful in snow cover mapping. The frequent coverage of the AVHRR is the prime advantage in being able to distinguish clouds from snow cover with their similar albedo signature. Combined with topographic relief information, snow cover from AVHRR can be converted to snow-water equivalent to give an estimate of the amount of water reserve represented by the winter snow pack. - Day and night cloud mapping is the main application of AVHRR data in meteorology, especially at high latitudes where data from geostationary satellites are severely affected by Earth curvature. AVHRR's frequent day/night synoptic coverage and high horizontal resolution are features that make the system unique for the study of land surface. eps_m02_ir108 WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2020-09-09T06:43:00.000Z/2021-11-15T07:46:00.000Z/PT1H40M eps:m02_orbital_tracks Orbital Track - Metop A features m02_orbital_tracks EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2021-06-06T08:40:03.000Z/2021-11-15T07:46:03.000Z/PT1S eps:m02_rgb_124 This AVHRR Cloud RGB product is an RGB (Red, Green, Blue) composite image based upon data from solar and infrared channels from Advanced Very High Resolution Radiometer/3 (AVHRR/3): channel 1 at 0.63 µm, channel 2 at 0.865 µm and channel 4 at 10.8 µm. Due to utilisation of two solar channels this RGB composite is used mostly during daytime. The images are an incremental accumulation of all the day parts of the orbits over an entire day. The indicated time represents the end of the last orbit (when the satellite crosses the equator in the ascending node). This product provides in cloudy areas information on cloud thickness and cloud top temperature, and on green vegetation fraction in cloud-free areas ('chlorophyll content': the more green vegetation there is, the greener the pixel). This RGB type is most useful during the convective periods since core and anvil of convective clouds can be seen clearly. It helps in differentiating thick and thin high-level clouds from each other and from other cloud and land features. The Advanced Very High Resolution Radiometer/3 (AVHRR/3) is a multipurpose imaging instrument used for global monitoring of cloud cover, sea surface temperature, ice, snow and vegetation cover characteristics. It operates at six different channels simultaneously at a spatial resolution of about 1 km at near-nadir. AVHRR has many applications in oceanography, meteorology and terrestrial sciences. eps_m02_rgb_124 WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2020-09-09T06:43:00.000Z/2021-11-15T07:46:00.000Z/PT1H40M eps:m02_rgb_natural_fog This is an RGB (Red, Green, Blue) composite image based upon data from solar and infrared channels from Advanced Very High Resolution Radiometer/3 (AVHRR/3). The images are a combination of two AVHRR RGB composite products: the Natural Colour (daytime product based on solar channels) and Night Microphysics (i.e. Fog) product (based upon infrared channels, tuned for night-time conditions). The product displays images composed of the last six AVHRR orbits, using the Natural Colour product in the daytime part and the Fog product in the night-time part. The indicated time represents the end of the last orbit (when the satellite crosses the equator in the ascending node). Natural Colour RGB images are created by combining data from three solar channels: 1.6 µm channel (NIR1.61, visualized in red), 0.87 µm channel (NIR0.87, visualized in green) and 0.63 µm channel (VIS0.63, visualized in blue). Its purpose is to supply general cloud analysis, by providing information on cloud top phase and cloud optical thickness in cloudy areas, and on the green vegetation fraction ('chlorophyll content') in cloud-free areas. In most cases, water clouds can be distinguished from ice clouds. Snow-covered land is easy to distinguish from snow-free land and from water clouds and fog. The colours are (relatively) close to the natural colours of the depicted features. The Night Microphysics RGB (i.e. RGB Fog) images are created by combining data from the 12.0, 10.8 and 3.74 µm channels (IR12.0, IR10.8 and IR3.74 respectively). Brightness temperature differences are displayed in red (IR12.0- IR10.8) and green (IR12.0- IR3.9), while the IR10.8 channel is shown in blue beam. Its main purpose is to distinguish fog and low clouds from cloud-free areas at night, but it contains also information on cloud top temperature, cloud optical thickness and cloud top phase, thus revealing other cloud types. Cloud-free areas contain information on low-level moisture and surface temperature. The Advanced Very High Resolution Radiometer/3 (AVHRR/3) is a multipurpose imaging instrument used for global monitoring of cloud cover, sea surface temperature, ice, snow and vegetation cover characteristics. It operates at six different channels simultaneously at a spatial resolution of about 1 Km near-nadir. AVHRR has many applications in oceanography, meteorology and terrestrial sciences. eps_m02_rgb_natural_fog WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2020-09-09T06:43:00.000Z/2021-11-15T07:46:00.000Z/PT1H40M eps:m03_ascat_wind Equivalent neutral 10m winds over the global oceans, with specific sampling to provide as many observations as possible near the coasts. Better than using this archived NRT product, please use the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-A, EO:EUM:DAT:METOP:OSI-150-B). features m03_ascat_wind EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2022-05-02T23:18:00.000Z/2026-04-06T06:33:00.000Z/PT1H40M eps:m03_ir108 This is an image of Advanced Very High Resolution Radiometer (AVHRR) channel IR 10.8 Level 1b Brightness Temperatures, accumulated over the last 6 orbits. The indicated time represents the end of the last orbit (when the satellite crosses the equator in the ascending node). The IR10.8 channel is an atmospheric window channel (where the absorption of the gas molecules is low), and it helps in distinguishing thick clouds by to their cloud top temperatures. The accumulated images are displayed mapping the same temperature range for day and night, i.e. 220 K-310 K, in order to have quite homogeneous images during the entire 24 hours and also to have a good contrast in the polar regions. The Advanced Very High Resolution Radiometer (AVHRR) is a multipurpose imaging instrument used for global monitoring of cloud cover, sea surface temperature, ice, snow and vegetation cover characteristics. It operates at 6 different channels simultaneously at a spatial resolution of about 1 Km near-nadir. AVHRR has many applications in oceanography, meteorology and terrestrial sciences: - Multi-Channel SST (MCSST) is the main geophysical parameter of use in AVHRR oceanographic applications. - Another oceanographic application of AVHRR data is in the study of sea ice. Properly filtered for clouds over ice, AVHRR imagery can be used to compute sea ice concentration, type and ice edge location. It can also be used to compute ice motion. - Multi-channel imagery from the AVHRR has also proven to be useful in snow cover mapping. The frequent coverage of the AVHRR is the prime advantage in being able to distinguish clouds from snow cover with their similar albedo signature. Combined with topographic relief information, snow cover from AVHRR can be converted to snow-water equivalent to give an estimate of the amount of water reserve represented by the winter snow pack. - Day and night cloud mapping is the main application of AVHRR data in meteorology, especially at high latitudes where data from geostationary satellites are severely affected by Earth curvature. AVHRR's frequent day/night synoptic coverage and high horizontal resolution are features that make the system unique for the study of land surface. eps_m03_ir108 WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2020-09-01T01:28:00.000Z/2026-04-06T05:25:00.000Z/PT1H40M eps:m03_orbital_tracks Orbital Track - Metop C features m03_orbital_tracks EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2021-06-06T09:07:03.000Z/2026-04-06T05:25:00.000Z/PT1S eps:m03_rgb_124 This AVHRR Cloud RGB product is an RGB (Red, Green, Blue) composite image based upon data from solar and infrared channels from Advanced Very High Resolution Radiometer/3 (AVHRR/3): channel 1 at 0.63 µm, channel 2 at 0.865 µm and channel 4 at 10.8 µm. Due to utilisation of two solar channels this RGB composite is used mostly during daytime. The images are an incremental accumulation of all the day parts of the orbits over an entire day. The indicated time represents the end of the last orbit (when the satellite crosses the equator in the ascending node). This product provides in cloudy areas information on cloud thickness and cloud top temperature, and on green vegetation fraction in cloud-free areas ('chlorophyll content': the more green vegetation there is, the greener the pixel). This RGB type is most useful during the convective periods since core and anvil of convective clouds can be seen clearly. It helps in differentiating thick and thin high-level clouds from each other and from other cloud and land features. The Advanced Very High Resolution Radiometer/3 (AVHRR/3) is a multipurpose imaging instrument used for global monitoring of cloud cover, sea surface temperature, ice, snow and vegetation cover characteristics. It operates at six different channels simultaneously at a spatial resolution of about 1 km at near-nadir. AVHRR has many applications in oceanography, meteorology and terrestrial sciences. eps_m03_rgb_124 WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2020-09-01T01:28:00.000Z/2026-04-06T05:25:00.000Z/PT1H40M eps:m03_rgb_natural_fog This is an RGB (Red, Green, Blue) composite image based upon data from solar and infrared channels from Advanced Very High Resolution Radiometer/3 (AVHRR/3). The images are a combination of two AVHRR RGB composite products: the Natural Colour (daytime product based on solar channels) and Night Microphysics (i.e. Fog) product (based upon infrared channels, tuned for night-time conditions). The product displays images composed of the last six AVHRR orbits, using the Natural Colour product in the daytime part and the Fog product in the night-time part. The indicated time represents the end of the last orbit (when the satellite crosses the equator in the ascending node). Natural Colour RGB images are created by combining data from three solar channels: 1.6 µm channel (NIR1.61, visualized in red), 0.87 µm channel (NIR0.87, visualized in green) and 0.63 µm channel (VIS0.63, visualized in blue). Its purpose is to supply general cloud analysis, by providing information on cloud top phase and cloud optical thickness in cloudy areas, and on the green vegetation fraction ('chlorophyll content') in cloud-free areas. In most cases, water clouds can be distinguished from ice clouds. Snow-covered land is easy to distinguish from snow-free land and from water clouds and fog. The colours are (relatively) close to the natural colours of the depicted features. The Night Microphysics RGB (i.e. RGB Fog) images are created by combining data from the 12.0, 10.8 and 3.74 µm channels (IR12.0, IR10.8 and IR3.74 respectively). Brightness temperature differences are displayed in red (IR12.0- IR10.8) and green (IR12.0- IR3.9), while the IR10.8 channel is shown in blue beam. Its main purpose is to distinguish fog and low clouds from cloud-free areas at night, but it contains also information on cloud top temperature, cloud optical thickness and cloud top phase, thus revealing other cloud types. Cloud-free areas contain information on low-level moisture and surface temperature. The Advanced Very High Resolution Radiometer/3 (AVHRR/3) is a multipurpose imaging instrument used for global monitoring of cloud cover, sea surface temperature, ice, snow and vegetation cover characteristics. It operates at six different channels simultaneously at a spatial resolution of about 1 Km near-nadir. AVHRR has many applications in oceanography, meteorology and terrestrial sciences. eps_m03_rgb_natural_fog WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2020-09-01T01:28:00.000Z/2026-04-06T05:25:00.000Z/PT1H40M osmgray:ne_10m_admin_0_boundary_lines_land features ne_10m_admin_0_boundary_lines_land EPSG:4326 CRS:84 -141.00554863899987 140.97762699400005 -55.120923766999944 70.07531036400012 750000.0 3.0E8 osmgray:ne_10m_admin_0_countries_points features CNTR_LB_2020_4326 ne_10m_admin_0_countries_points EPSG:4326 CRS:84 -177.1944 178.6907 -79.9284 78.8376 osmgray:ne_10m_admin_1_states_provinces_lines features ne_10m_admin_1_states_provinces_lines EPSG:4326 CRS:84 -178.13708564098948 178.44862226790326 -49.25087001983553 81.12853131646705 osmgray:ne_10m_bathymetry features ne_10m_bathymetry pregeneralized) EPSG:4326 CRS:84 -179.99999999999997 180.00000000000034 -85.22193775799991 90.00000000000006 backgrounds:ne_10m_coastline features CNTR_BN_01M_2020_4326_COASTL ne_10m_coastline EPSG:4326 CRS:84 -180.0 179.999991 -89.900001 83.664978 backgrounds:ne_background NE2_LR_LC_SR_W_tiled_y WCS GeoTIFF EPSG:4326 CRS:84 -180.0 179.99999999996396 -89.99999999998198 90.0 backgrounds:ne_boundary_lines_land ne_10m_admin_0_boundary_lines_land features CNTR_BN_01M_2020_4326_INLAND ne_boundary_lines_land EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 backgrounds:ne_gray GRAY_HR_SR_OB_DR.optimized WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.00000000007202 -90.000000000036 90.00000000000001 mumi:osi_sic_cdr_v3_nh This layer is the blended version of the Global Sea Ice Concentration Climate Data Record (OSI-450-a) and Global Sea Ice Concentration Interim Climate Data Record (OSI-430-a) for the Northern Hemisphere. OSI-450-a is the third major version of the OSI SAF Global Sea Ice Concentration Climate Data Record (SIC CDR v3.0). OSI-430-a is the corresponding Interim CDR, an operational extension with a latency of 16 days. OSI-450-a is a full reprocessing of sea ice concentration, with improved algorithms and an upgraded processing chain, covering the period 1978.10.01 to 2020.12.31. The sea ice concentration is computed from the SMMR (1978-1987), SSM/I (1987-2008), and SSMIS (2006-2020) instruments, as well as ECMWF ERA5. The basic principles and methodologies that were the backbone of the previous version (OSI-450) are also on board OSI-450-a (e.g. atmospheric correction of brightness temperature with NWP re-analysis data, dynamic tie-points, uncertainties, etc.) but they were partly revisited through dedicated R&D in the OSISAF project and, notably, through the ESA CCI EXT Sea Ice projects, whose contribution is acknowledged. OSI-430-a extends OSI-450-a from 2021 onwards. It uses SSMIS data from NOAA CLASS, and preliminary daily updates of the ERA5 analysis from ECMWF (ERA5T). Otherwise, the same processing chain and algorithms are used for OSI-450-a and OSI-430-a, ensuring temporal consistency. mumi_osi_sic_cdr_v3_nh WCS ImageMosaic EPSG:3995 CRS:84 -180.0 180.0 16.424707353290504 90.0 1978-10-25T12:00:00.000Z/2025-10-01T12:00:00.000Z/P1D mumi:osi_sic_cdr_v3_sh This layer is the blended version of the Global Sea Ice Concentration Climate Data Record (OSI-450-a) and Global Sea Ice Concentration Interim Climate Data Record (OSI-430-a) for the Southern Hemisphere. OSI-450-a is the third major version of the OSI SAF Global Sea Ice Concentration Climate Data Record (SIC CDR v3.0). OSI-430-a is the corresponding Interim CDR, an operational extension with a latency of 16 days. OSI-450-a is a full reprocessing of sea ice concentration, with improved algorithms and an upgraded processing chain, covering the period 1978.10.01 to 2020.12.31. The sea ice concentration is computed from the SMMR (1978-1987), SSM/I (1987-2008), and SSMIS (2006-2020) instruments, as well as ECMWF ERA5. The basic principles and methodologies that were the backbone of the previous version (OSI-450) are also on board OSI-450-a (e.g. atmospheric correction of brightness temperature with NWP re-analysis data, dynamic tie-points, uncertainties, etc.) but they were partly revisited through dedicated R&D in the OSISAF project and, notably, through the ESA CCI EXT Sea Ice projects, whose contribution is acknowledged. OSI-430-a extends OSI-450-a from 2021 onwards. It uses SSMIS data from NOAA CLASS, and preliminary daily updates of the ERA5 analysis from ECMWF (ERA5T). Otherwise, the same processing chain and algorithms are used for OSI-450-a and OSI-430-a, ensuring temporal consistency. mumi_osi_sic_cdr_v3_sh WCS ImageMosaic EPSG:3976 CRS:84 -180.0 180.0 -90.0 -16.331555954431668 1978-10-25T12:00:00.000Z/2025-09-30T12:00:00.000Z/P1D eps:osisaf_avhrr_l3_sst Global Metop/AVHRR sub-skin Sea Surface Temperature (GBL SST) is a 12 hourly synthesis on a 0.05° global grid. The product format is compliant with the Data Specification (GDS) version 2 from the Group for High Resolution Sea Surface Temperatures (GHRSST). osisaf_avhrr_l3_sst WCS ImageMosaic EPSG:4326 CRS:84 -179.999609320739 179.999609320739 -89.9996092664629 89.9996092664629 2019-08-02T12:00:00.000Z/2026-04-06T00:00:00.000Z/PT12H osmgray:osm_places features osm_places EPSG:3857 CRS:84 -180.00000000000003 180.00000000000003 -85.05999999999999 85.05999999999999 1.0E7 msg_fes:rdt 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. features msg_fes_rdt EPSG:4326 CRS:84 -90.0 90.0 -90.0 90.0 2023-03-07T11:15:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_fes:rgb_airmass The Airmass product is an RGB (Red, Green, Blue) composite based upon data from infrared and water vapour channels from the SEVIRI instrument. It is designed and tuned to monitor the distribution of different air masses and evolution of cyclones, in particular rapid cyclogenesis, jet streaks and PV (potential vorticity) anomalies. Due to the incorporation of the water vapour and ozone channels, its usage at highest satellite viewing angles is limited. The Airmass RGB is composed from data from a combination of the SEVIRI WV6.2, WV7.3, IR9.7 and IR10.8 channels. msg_fes_rgb_airmass WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:rgb_airmass The Airmass product is an RGB (Red, Green, Blue) composite based upon data from infrared and water vapour channels from the SEVIRI instrument. It is designed and tuned to monitor the distribution of different air masses and evolution of cyclones, in particular rapid cyclogenesis, jet streaks and PV (potential vorticity) anomalies. Due to the incorporation of the water vapour and ozone channels, its usage at highest satellite viewing angles is limited. The Airmass RGB is composed from data from a combination of the SEVIRI WV6.2, WV7.3, IR9.7 and IR10.8 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). msg_iodc_rgb_airmass WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_fes:rgb_ash The Ash product is an RGB (Red, Green, Blue) composite based upon infrared channel data from the Meteosat Second Generation satellite. It is designed to detect ash and sulphur dioxide (SO2) from volcanic eruptions which can be used for the provision of warnings to aviation authorities. The Ash RGB is composed from data from a combination of the SEVIRI IR8.7, IR10.8 and IR12.0 channels. msg_fes_rgb_ash WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:rgb_ash The Ash product is an RGB (Red, Green, Blue) composite based upon infrared channel data from the Meteosat Second Generation satellite. It is designed to detect ash and sulphur dioxide (SO2) from volcanic eruptions which can be used for the provision of warnings to aviation authorities. The Ash RGB is composed from data from a combination of the SEVIRI IR8.7, IR10.8 and IR12.0 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). msg_iodc_rgb_ash WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M mtg_fd:rgb_cloudphase The Cloud Phase RGB is used for the separation of water from ice clouds and for gathering information on the microphysical properties of cloud-tops. It is used during the daytime due to the FCI channels used in the RGB but the combination of VIS0.6 and NIR2.2 high spatial channels allows the creation of the image in 0.5km resolution. mtg_fd_rgb_cloudphase WCS ImageMosaic EPSG:4326 CRS:84 -70.0 70.0 -70.0 70.0 2024-09-23T02:00:00.000Z/2026-04-06T10:50:00.000Z/PT10M mtg_fd:rgb_cloudtype The Cloud Type RGB combines information on cloud optical thickness, cloud height, and cloud phase into one product. Because of the colour assignment chosen and colour enhancements performed, the cloud types appear clearly separated from each other. There is limited information on ground features (it is better to use True Colour RGB for this purpose) and cloud microphysics (similarly, it is better to use Cloud Phase RGB). This RGB is composed by using three solar bands: VIS (0.64), NIR (1.38), and NIR (1.61). Therefore, it is available only during the daytime. mtg_fd_rgb_cloudtype WCS ImageMosaic EPSG:4326 CRS:84 -81.27779388427734 81.28072357177734 -77.35063934326172 77.35639190673828 2025-06-01T17:20:00.000Z/2026-04-06T10:50:00.000Z/PT10M msg_fes:rgb_convection The Convection RGB combines the brightness temperature difference (BTD) between the WV6.2 and WV7.3 channels (on red), the BTD between the IR3.9 and IR10.8 channels (on green) and the reflectance difference between the NIR1.6 and the VIS0.6 channels (on blue). Severe convective storms appear bright yellow in this color scheme because of the near zero BTD WV6.2-WV7.3 of overshooting Cb clouds (high red). The strong updrafts in these clouds produce small ice particles at cloud tops due to homogeneous freezing of cloud drops, resulting with large BTD IR3.9-IR10.8 (high green). Finally, large negative values of NIR1.6-VIS0.6 because of the large absorption at NIR1.6 by ice particles keeps the blue very low. Please note that small ice crystals of Cirrus clouds should not be confused with vigorous convection. Inferred small ice crystals that are not associated with anvils of Cb clouds must form by elevated strong updrafts, such as in high altitude orographic wave clouds. msg_fes_rgb_convection WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:rgb_convection The Convection RGB combines the brightness temperature difference (BTD) between the WV6.2 and WV7.3 channels (on red), the BTD between the IR3.9 and IR10.8 channels (on green) and the reflectance difference between the NIR1.6 and the VIS0.6 channels (on blue). Severe convective storms appear bright yellow in this color scheme because of the near zero BTD WV6.2-WV7.3 of overshooting Cb clouds (high red). The strong updrafts in these clouds produce small ice particles at cloud tops due to homogeneous freezing of cloud drops, resulting with large BTD IR3.9-IR10.8 (high green). Finally, large negative values of NIR1.6-VIS0.6 because of the large absorption at NIR1.6 by ice particles keeps the blue very low. Please note that small ice crystals of Cirrus clouds should not be confused with vigorous convection. Inferred small ice crystals that are not associated with anvils of Cb clouds must form by elevated strong updrafts, such as in high altitude orographic wave clouds.

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). msg_iodc_rgb_convection WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M mtg_fd:rgb_dust The Dust product is an RGB (Red, Green, Blue) composite based on infrared channels. It is designed to monitor the evolution of dust storms during both day and night. However equally useful for the discrimination of cloud types (e.g. cloud phase or thin Cirrus detection) and detection of low-level moisture. Being based solely on IR channels this product has the same utility both during day and night. mtg_fd_rgb_dust WCS ImageMosaic EPSG:4326 CRS:84 -70.0 70.0 -70.0 70.0 2024-10-22T00:40:00.000Z/2026-04-06T10:50:00.000Z/PT10M msg_fes:rgb_dust The Dust product is an RGB (Red, Green, Blue) composite based upon infrared channel data from the Meteosat Second Generation satellite. It is designed to monitor the evolution of dust storms during both day and night. But it is also useful for discrimination of cloud types (e.g. thin Cirrus detection) and detection of low level moisture. The Dust RGB is composed from data from a combination of the SEVIRI IR8.7, IR10.8 and IR12.0 channels. msg_fes_rgb_dust WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:rgb_dust The Dust product is an RGB (Red, Green, Blue) composite based upon infrared channel data from the Meteosat Second Generation satellite. It is designed to monitor the evolution of dust storms during both day and night. But it is also useful for discrimination of cloud types (e.g. thin Cirrus detection) and detection of low level moisture. The Dust RGB is composed from data from a combination of the SEVIRI IR8.7, IR10.8 and IR12.0 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). msg_iodc_rgb_dust WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_fes:rgb_eview The E-View product is an RGB (Red, Green, Blue) composite based upon data from the SEVIRI instrument. It is dedicated to detailed cloud monitoring of the European region. It is based on data from the SEVIRI High Resolution Visible channel combined with data from the IR10.8 channel that provides the temperature information (blue component). msg_fes_rgb_eview WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2022-03-29T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:rgb_eview The E-View product is an RGB (Red, Green, Blue) composite based upon data from the SEVIRI instrument. It is dedicated to detailed cloud monitoring of the European region. It is based on data from the SEVIRI High Resolution Visible channel combined with data from the IR10.8 channel that provides the temperature information (blue component).

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). msg_iodc_rgb_eview WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2022-03-29T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M mtg_fd:rgb_firetemperature Fire Temperature RGB allows users to identify where the most intense fires are occurring and differentiate them from cooler fires. The RGB takes advantage of the fact that from 3.8 micrometres to shorter wavelengths, background solar radiation and surface reflectance increase. This means that fires need to be more intense to be detected by the 2.2 and 1.6 micrometre bands, as more intense fires emit more radiation at these wavelengths. Therefore, small or cooler fires will only appear at 3.8 micrometres and will be red. In contrast, increases in fire intensity lead to greater contributions from the other channels, resulting in fires that appear yellow-white. This RGB in EUMETView is generated at a spatial resolution of 500 meters. mtg_fd_rgb_firetemperature WCS ImageMosaic EPSG:4326 CRS:84 -81.27782440185547 81.28074645996094 -77.3577880859375 77.35641479492188 2025-08-05T00:00:00.000Z/2026-04-06T10:50:00.000Z/PT10M mtg_fd:rgb_fog Interpreting low clouds and fog in satellite imagery can be a challenge when using individual IR channels, due to the slight temperature difference between the cloud tops and adjacent cloud-free land. The Night Microphysics RGB solves this problem by using three different IR wavelengths. Low water clouds and fog emit less radiation at 3.8 µm than at 10.5 µm. This brightness temperature difference (BTD) field is used in the Green Channel to highlight regions of low clouds. The channel difference in the Red channel (12.3-10.5 µm) is used as a proxy for cloud thickness and serves a similar purpose to the 10.5 µm thermal channel, enhancing areas of warm, low clouds where fog is more likely. The Night Microphysics RGB is also an efficient tool for identifying other cloud types in the mid- and upper-atmosphere. This RGB is not designed for use during the day. mtg_fd_rgb_fog WCS ImageMosaic EPSG:4326 CRS:84 -81.27779388427734 81.28072357177734 -77.35063934326172 77.35639190673828 2025-06-06T18:40:00.000Z/2026-04-06T09:50:00.000Z/PT10M msg_fes:rgb_fog The Fog / Low Clouds product is an RGB (Red, Green, Blue) composite based upon infrared channel data from the Meteosat Second Generation satellite. It is designed and tuned to monitor the evolution of night-time fog / low stratus. Other (secondary) applications are the detection of fires, low-level moisture boundaries and cloud classification in general. It should be noted that as the product is tuned for night-time conditions, its use during day-time is very limited. The Fog / Low Clouds RGB is composed from data from a combination of the SEVIRI IR3.9, IR10.8 and IR12.0 channels msg_fes_rgb_fog WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:rgb_fog The Fog / Low Clouds product is an RGB (Red, Green, Blue) composite based upon infrared channel data from the Meteosat Second Generation satellite. It is designed and tuned to monitor the evolution of night-time fog / low stratus. Other (secondary) applications are the detection of fires, low-level moisture boundaries and cloud classification in general. It should be noted that as the product is tuned for night-time conditions, its use during day-time is very limited. The Fog / Low Clouds RGB is composed from data from a combination of the SEVIRI IR3.9, IR10.8 and IR12.0 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). msg_iodc_rgb_fog WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M mtg_fd:rgb_geocolour Geo Colour RGB - MTG - 0 degree mtg_fd_rgb_geocolour WCS ImageMosaic EPSG:4326 CRS:84 -81.2777938842773 81.2807235717773 -77.3506393432617 77.3563919067383 2024-09-23T00:00:00.000Z/2026-04-06T10:50:00.000Z/PT10M msg_fes:rgb_microphysics 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. msg_fes_rgb_microphysics WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:rgb_microphysics 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). msg_iodc_rgb_microphysics WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_rss:rgb_microphysics_nrt Rectified (level 1.5) Meteosat SEVIRI Rapid Scan image data. The baseline scan region is a reduced area of the top 1/3 of a nominal repeat cycle, covering a latitude range from approximately 15 degrees to 70 degrees. The service generates repeat cycles at 5-minute intervals (the same as currently used for weather radars). The dissemination of RSS data is similar to the normal dissemination, with image segments based on 464 lines and compatible with the full disk level 1.5 data scans. Epilogue and prologue (L1.5 Header and L1.5 Trailer) have the same structure. Calibration is as in Full Earth Scan. Image rectification is to 9.5 degreesE. The scans start at 00:00, 00:05, 00:10, 00:15 ... etc. (5 min scan). The differences from the nominal Full Earth scan are that for channels 1 - 11, only segments 6 - 8 are disseminated and for the High Resolution Visible Channel only segments 16 - 24 are disseminated. MSG_HR_RSS_RGB_Day_Microphysics WCS ImageMosaic EPSG:4326 CRS:84 -64.2857055664062 84.2857055664062 13.0 78.0 2020-08-01T00:00:00.000Z/2026-04-06T11:05:00.000Z/PT5M msg_fes:rgb_natural 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. msg_fes_rgb_natural WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:rgb_natural 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). msg_iodc_rgb_natural WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_rss:rgb_natural_nrt Rectified (level 1.5) Meteosat SEVIRI Rapid Scan image data. The baseline scan region is a reduced area of the top 1/3 of a nominal repeat cycle, covering a latitude range from approximately 15 degrees to 70 degrees. The service generates repeat cycles at 5-minute intervals (the same as currently used for weather radars). The dissemination of RSS data is similar to the normal dissemination, with image segments based on 464 lines and compatible with the full disk level 1.5 data scans. Epilogue and prologue (L1.5 Header and L1.5 Trailer) have the same structure. Calibration is as in Full Earth Scan. Image rectification is to 9.5 degreesE. The scans start at 00:00, 00:05, 00:10, 00:15 ... etc. (5 min scan). The differences from the nominal Full Earth scan are that for channels 1 - 11, only segments 6 - 8 are disseminated and for the High Resolution Visible Channel only segments 16 - 24 are disseminated. MSG_HR_RSS_RGB_Natural_Colour WCS ImageMosaic EPSG:4326 CRS:84 -64.2857055664062 84.2857055664062 13.0 78.0 2020-08-01T00:00:00.000Z/2026-04-06T11:05:00.000Z/PT5M msg_fes:rgb_naturalenhncd The Natural Colour Enhanced product is an RGB which utilises three SEVIRI solar channels: NIR1.6, VIS0.8 and VIS0.6. It is similar to a Natural Colour RGB product, with the difference that the ice-clouds and snow covered surfaces and clouds are not shown in typical cyan colour but in desaturated tones, i.e. in white shades, making it more natural for human perception. msg_fes_rgb_naturalenhncd WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-09-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:rgb_naturalenhncd The Natural Colour Enhanced product is an RGB which utilises three SEVIRI solar channels: NIR1.6, VIS0.8 and VIS0.6. It is similar to a Natural Colour RGB product, with the difference that the ice-clouds and snow covered surfaces and clouds are not shown in typical cyan colour but in desaturated tones, i.e. in white shades, making it more natural for human perception. 

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). msg_iodc_rgb_naturalenhncd WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_rss:rgb_naturalenhncd_nrt Rectified (level 1.5) Meteosat SEVIRI Rapid Scan image data. The baseline scan region is a reduced area of the top 1/3 of a nominal repeat cycle, covering a latitude range from approximately 15 degrees to 70 degrees. The service generates repeat cycles at 5-minute intervals (the same as currently used for weather radars). The dissemination of RSS data is similar to the normal dissemination, with image segments based on 464 lines and compatible with the full disk level 1.5 data scans. Epilogue and prologue (L1.5 Header and L1.5 Trailer) have the same structure. Calibration is as in Full Earth Scan. Image rectification is to 9.5 degreesE. The scans start at 00:00, 00:05, 00:10, 00:15 ... etc. (5 min scan). The differences from the nominal Full Earth scan are that for channels 1 - 11, only segments 6 - 8 are disseminated and for the High Resolution Visible Channel only segments 16 - 24 are disseminated. MSG_HR_RSS_RGB_Natural_Colour__Enhncd WCS ImageMosaic EPSG:4326 CRS:84 -64.2857055664062 84.2857055664062 13.0 78.0 2020-08-01T00:00:00.000Z/2026-04-06T11:05:00.000Z/PT5M mtg_fd:rgb_snow The main application of the Day Snow Fog RGB (Red, Green, Blue) is the detection of fog / low clouds and snow during daytime. In this colour scheme, snow appears red due to the strong absorption in the NIR1.6 and IR3.8 channels, while fog / low clouds appear whitish. Small particle ice cloud appears orange, while large particle ice cloud appears with a greater red component. Snow on the ground seems reddish because its grains are usually much larger than cloud ice particles. The image is in 1 km. spatial resolution. mtg_fd_rgb_snow WCS ImageMosaic EPSG:4326 CRS:84 -81.27779388427734 81.28072357177734 -77.35063934326172 77.35639190673828 2025-12-10T00:00:00.000Z/2026-04-06T10:50:00.000Z/PT10M msg_fes:rgb_snow msg_fes_rgb_snow WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-02-12T14:30:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:rgb_snow The main application of the Snow RGB (Red, Green, Blue) is the detection of fog / low clouds and snow during day-time. In this color scheme snow appears red because of the strong absorption in the NIR1.6 and IR3.9 channels (no green and blue), while fog / low clouds appear whitish. Small particle ice cloud appears orange, while large particle ice cloud appears with greater red component. Snow on the ground appears as full red, because its grains are usually much larger than cloud ice particles. 

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). msg_iodc_rgb_snow WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_fes:rgb_tropicalairmass The “Tropical Airmass” product is an RGB (Red, Green, Blue) composite derivate of the existing “Airmass RGB” visualisation. It is based upon data from infra-red channels (namely WV6.2, WV7.3, IR9.7 and IR10.8) of the SEVIRI instrument. The target of this product is an improved detection of over-shooting tops and cold, high-reaching clouds in general (typically found in the tropical regions). With the standard Airmass RGB these clouds are in a strong white colour with no gradients on their tops. The recipe is similar to the one of Airmass RGB with slight difference in colour range selection - in particular, for the green beam (IR9.7-IR10.8) it uses a range from -25 to +25 K (instead of -40 to +5 K). msg_fes_rgb_tropicalairmass WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-08-31T00:30:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:rgb_tropicalairmass The “Tropical Airmass” product is an RGB (Red, Green, Blue) composite derivate of the existing “Airmass RGB” visualisation. It is based upon data from infra-red channels (namely WV6.2, WV7.3, IR9.7 and IR10.8) of the SEVIRI instrument. The target of this product is an improved detection of over-shooting tops and cold, high-reaching clouds in general (typically found in the tropical regions). 

With the standard Airmass RGB these clouds are in a strong white colour with no gradients on their tops.

The recipe is similar to the one of Airmass RGB with slight difference in colour range selection - in particular, for the green beam (IR9.7-IR10.8) it uses a range from -30 to +25 K (instead of -40 to +5 K).

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). msg_iodc_rgb_tropicalairmass WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M mtg_fd:rgb_truecolour True Colour Imagery gives an image that is approximately what human eyes see from Outer Space. True Colour Imagery cannot be made directly from FCI because it lacks a Green band. That is why a special processing step based on the NDVI values of the pixels is applied. The aim of this RGB type is to monitor aerosols; suspended particles and algae bloom in seawater; surface features, and provide true colour images. mtg_fd_rgb_truecolour WCS ImageMosaic EPSG:4326 CRS:84 -70.0 70.0 -70.0 70.0 2024-09-23T02:00:00.000Z/2026-04-06T10:50:00.000Z/PT10M copernicus:sentinel3a_olci_l1_rgb_fullres This product is an RGB (Red, Green, Blue) composite based upon data from S3A single swath OLCI L1 NRT products Top-Of-Atmosphere (TOA) radiometric measurements, radiometrically corrected, calibrated and spectrally characterised. The product is composed from data from a combination of the following OLCI bands: 0a02_radiance, Oa06_radiance, Oa08_radiance. The images are generated with a pixel resolution of 0.09 degrees. 'Ocean colour' is the change in the colour of the ocean, and other water bodies such as lakes, due to the substances dissolved and particles suspended within the water. The primary objective of OLCI products is to measure the colour of the ocean and land surface and provide information on ocean and land characteristics related to this (e.g. biology). OLCI also provides information on the atmosphere and contributes to climate studies. Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the EU Copernicus programme. copernicus_sentinel3a_olci_l1_rgb_fullres WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.005004882812 -84.303955078125 69.7933959960938 2020-02-17T03:01:00.000Z/2026-04-06T05:03:00.000Z/PT1H41M copernicus:sentinel3a_olci_l2_chl_fullres This Ocean Colour product represents the algal pigment (Chlorophyll a) concentration in clear open waters, and it is defined by the "OC4Me" Maximum Band Ratio (MBR) semi-analytical algorithm. The product is derived from S3A OLCI L2 NRT water-leaving reflectances (calculated from the Baseline Atmospheric Correction). A maximum band ratio approach is used for reflectances at 443, 490 and 510 nm, over that 560 nm (O3 to O6). It is expressed in Units of mg/m3 as: log10 [Chl]= ∑4 x=0 =(Ax * (log10(Rij))x) which is the ratio of reflectance of band i, among 443, 490 and 510 nm, over that of band j at 560 nm. The following flags were applied: INVALID, LAND, CLOUD, CLOUD_AMBIGUOUS, CLOUD_MARGIN, SNOW_ICE, SUSPECT, HISOLZEN, SATURATED, HIGHGLINT, WHITECAPS, AC_FAIL, OC4ME_FAIL, ANNOT_TAU06, RWNEG_O2, RWNEG_O3, RWNEG_O4, RWNEG_O5, RWNEG_O6, RWNEG_O7 and RWNEG_O8. Full details of the chl_oc4me algorithm can be found in the case 1 resource link. Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the EU Copernicus programme. copernicus_sentinel3a_olci_l2_chl_fullres WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.010009765625 -84.317268371582 69.792121887207 2020-02-17T03:01:00.000Z/2026-04-06T08:25:00.000Z/PT1H41M copernicus:sentinel3a_orbital_tracks Orbital Tracks - Sentinel-3A features sentinel3a_orbital_tracks EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2021-06-03T18:43:18.000Z/2026-04-06T06:22:00.000Z/PT1S copernicus:sentinel3a_slstr_l2p_sst_fullres Sea Surface Temperature (SST) is the kinetic temperature of a water body at a defined depth. Although SLSTR measures an infrared radiometric temperature, it is provided as a kinetic temperature by considering the emissivity of the water body as part of the SST retrieval process. It is important to note that the SLSTR instruments return SST measurements for the ocean 'skin'. Due to the limited penetration of thermal infra-red radiation through the water column, this corresponds to the temperature in the top few tens of micrometres. At night, the skin temperature is typically a few tenths of a degree cooler than the temperature measured by in situ systems; in the day, the skin can be considerably higher if strong diurnal warming is present. For more details please see “What is SST?” on the GHRSST web pages. The SST measurement is obtained by means of a highly accurate calibration of the three infra-red channels at 3.74, 10.85 and 12 µm (S7-S8-S9). Corrections for water vapour atmospheric absorption are performed using a triple window at night, and a split window during the day as the 3.7 µm channel is not used due to solar contamination. Each on-ground pixel is viewed twice, via nadir and oblique views with different atmospheric path lengths, allowing for correction for aerosol effects. Consequently, there are four possible retrieved SSTs, referred to as N2 (nadir-only 11 µm and 12 µm), N3 (nadir-only 3.7 µm, 11 µm and 12 µm), D2 (dual-view 11 µm and 12 µm) and D3 (dual-view 3.7 µm, 11 µm and 12 µm). A fifth retrieval algorithm, N3R is similar to N3, but uses the property of “aerosol robustness”, which is applicable in areas of high atmospheric aerosol content, e.g. near volcanoes. The product is derived from SLSTR L2 NRT data following derivation was applied to select the SST pixels to be plotted from WST file: - if the observation is in the nadir-only / single-view part of swath (i.e. "sst_algorithm_types" is N2, N3, N3R) then SST = sea_surface_temperature - If the observation is in the dual-view part of swath ((i.e. "sst_algorithm_types" is D2 or D3) then SST = sea_surface_temperature - dual_nadir_sst_difference. Besides, the following flags were used to select which pixels to represent and display: (quality_level >=3) and (l2p_flags.land == 0) and (l2p_flags.lake == 0) The SLSTR instrument and ground processing system are required to produce SST retrievals routinely from the corresponding brightness temperatures with an absolute accuracy of better than 0.3 K, globally, both for a single sample and when averaged over areas of 0.5° longitude by 0.5° latitude, under certain cloud-free conditions (i.e. >20% cloud-free samples within each area). The SLSTR instrument also has a temporal stability of 0.1 K/decade. copernicus_sentinel3a_slstr_l2p_sst_fullres WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.010009765625 -85.2300033569336 90.0 2020-02-15T23:34:00.000Z/2026-04-06T08:00:00.000Z/PT1H41M copernicus:sentinel3a_slstr_level2_frp The Copernicus Sea and Land Surface Temperature Radiometer (SLSTR), onboard the Sentinel-3A and -B satellites, detects and monitors potential threats of any ‘burning', 'active fire’ event over an area size of 1km2. These are not only fires over continents, but also flames from persistent land and ocean gas flares, and active erupting volcanoes. Such events are often referred to as hotspots. The variable that is extracted from the satellite data, and commonly used, for satellite-based fire monitoring is Fire Radiative Power (FRP). FRP represents the rate of outgoing thermal energy coming from a burning landscape fire, integrated over all emitted wavelengths and over the hemisphere above the fire. The Fire Radiative Power parameter reports all fires within a 1km2 pixel and is expressed in megawatts (MW). features sentinel3a_slstr_level2_frp EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2025-07-24T07:41:00.000Z/2026-04-06T08:03:00.000Z/PT1H40M copernicus:sentinel3b_olci_l1_rgb_fullres This product is an RGB (Red, Green, Blue) composite based upon data from S3B single swath OLCI L1 NRT products Top-Of-Atmosphere (TOA) radiometric measurements, radiometrically corrected, calibrated and spectrally characterised. The product is composed from data from a combination of the following OLCI bands: 0a02_radiance, Oa06_radiance, Oa08_radiance. The images are generated with a pixel resolution of 0.09 degrees. 'Ocean colour' is the change in the colour of the ocean, and other water bodies such as lakes, due to the substances dissolved and particles suspended within the water. The primary objective of OLCI products is to measure the colour of the ocean and land surface and provide information on ocean and land characteristics related to this (e.g. biology). OLCI also provides information on the atmosphere and contributes to climate studies. Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the EU Copernicus programme. copernicus_sentinel3b_olci_l1_rgb_fullres WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.005004882812 -84.2935638427734 69.8300857543945 2020-02-17T04:03:00.000Z/2026-04-06T04:24:00.000Z/PT1H41M copernicus:sentinel3b_olci_l2_chl_fullres This Ocean Colour product represents the algal pigment (Chlorophyll a) concentration in clear open waters, and it is defined by the "OC4Me" Maximum Band Ratio (MBR) semi-analytical algorithm. The product is derived from S3B OLCI L2 NRT water-leaving reflectances (calculated from the Baseline Atmospheric Correction). A maximum band ratio approach is used for reflectances at 443, 490 and 510 nm, over that 560 nm (O3 to O6). It is expressed in Units of mg/m3 as: log10 [Chl]= ∑4 x=0 =(Ax * (log10(Rij))x) which is the ratio of reflectance of band i, among 443, 490 and 510 nm, over that of band j at 560 nm. The following flags were applied: INVALID, LAND, CLOUD, CLOUD_AMBIGUOUS, CLOUD_MARGIN, SNOW_ICE, SUSPECT, HISOLZEN, SATURATED, HIGHGLINT, WHITECAPS, AC_FAIL, OC4ME_FAIL, ANNOT_TAU06, RWNEG_O2, RWNEG_O3, RWNEG_O4, RWNEG_O5, RWNEG_O6, RWNEG_O7 and RWNEG_O8. Full details of the chl_oc4me algorithm can be found in the case 1 resource link. Sentinel-3 is part of a series of Sentinel satellites, under the umbrella of the EU Copernicus programme. copernicus_sentinel3b_olci_l2_chl_fullres WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.010009765625 -84.3031845092773 69.7534866333008 2020-02-17T02:22:00.000Z/2026-04-06T07:46:00.000Z/PT1H41M copernicus:sentinel3b_orbital_tracks Orbital Tracks - Sentinel-3B features sentinel3b_orbital_tracks EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2021-06-03T18:03:53.000Z/2026-04-06T05:40:00.000Z/PT1S copernicus:sentinel3b_slstr_l2p_sst_fullres Sea Surface Temperature (SST) is the kinetic temperature of a water body at a defined depth. Although SLSTR measures an infrared radiometric temperature, it is provided as a kinetic temperature by considering the emissivity of the water body as part of the SST retrieval process. It is important to note that the SLSTR instruments return SST measurements for the ocean 'skin'. Due to the limited penetration of thermal infra-red radiation through the water column, this corresponds to the temperature in the top few tens of micrometres. At night, the skin temperature is typically a few tenths of a degree cooler than the temperature measured by in situ systems; in the day, the skin can be considerably higher if strong diurnal warming is present. For more details please see “What is SST?” on the GHRSST web pages. The SST measurement is obtained by means of a highly accurate calibration of the three infra-red channels at 3.74, 10.85 and 12 µm (S7-S8-S9). Corrections for water vapour atmospheric absorption are performed using a triple window at night, and a split window during the day as the 3.7 µm channel is not used due to solar contamination. Each on-ground pixel is viewed twice, via nadir and oblique views with different atmospheric path lengths, allowing for correction for aerosol effects. Consequently, there are four possible retrieved SSTs, referred to as N2 (nadir-only 11 µm and 12 µm), N3 (nadir-only 3.7 µm, 11 µm and 12 µm), D2 (dual-view 11 µm and 12 µm) and D3 (dual-view 3.7 µm, 11 µm and 12 µm). A fifth retrieval algorithm, N3R is similar to N3, but uses the property of “aerosol robustness”, which is applicable in areas of high atmospheric aerosol content, e.g. near volcanoes. The product is derived from SLSTR L2 NRT data following derivation was applied to select the SST pixels to be plotted from WST file: - if the observation is in the nadir-only / single-view part of swath (i.e. "sst_algorithm_types" is N2, N3, N3R) then SST = sea_surface_temperature - If the observation is in the dual-view part of swath ((i.e. "sst_algorithm_types" is D2 or D3) then SST = sea_surface_temperature - dual_nadir_sst_difference. Besides, the following flags were used to select which pixels to represent and display: (quality_level >=3) and (l2p_flags.land == 0) and (l2p_flags.lake == 0) The SLSTR instrument and ground processing system are required to produce SST retrievals routinely from the corresponding brightness temperatures with an absolute accuracy of better than 0.3 K, globally, both for a single sample and when averaged over areas of 0.5° longitude by 0.5° latitude, under certain cloud-free conditions (i.e. >20% cloud-free samples within each area). The SLSTR instrument also has a temporal stability of 0.1 K/decade. copernicus_sentinel3b_slstr_l2p_sst_fullres WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.010009765625 -85.2300033569336 90.0 2020-02-16T02:17:00.000Z/2026-04-06T05:40:00.000Z/PT1H41M copernicus:sentinel3b_slstr_level2_frp The Copernicus Sea and Land Surface Temperature Radiometer (SLSTR), onboard the Sentinel-3A and -B satellites, detects and monitors potential threats of any ‘burning', 'active fire’ event over an area size of 1km2. These are not only fires over continents, but also flames from persistent land and ocean gas flares, and active erupting volcanoes. Such events are often referred to as hotspots. The variable that is extracted from the satellite data, and commonly used, for satellite-based fire monitoring is Fire Radiative Power (FRP). FRP represents the rate of outgoing thermal energy coming from a burning landscape fire, integrated over all emitted wavelengths and over the hemisphere above the fire. The Fire Radiative Power parameter reports all fires within a 1km2 pixel and is expressed in megawatts (MW). features sentinel3b_slstr_level2_frp EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 2025-07-24T18:09:00.000Z/2026-04-06T09:06:00.000Z/PT1H40M osmgray:simplified_land_polygons features simplified_land_polygons EPSG:3857 CRS:84 -180.00000000000003 180.00000000000003 -85.05112880000003 83.6664731 800000.0 msg_fes:vis006 Rectified (level 1.5) Meteosat SEVIRI image data. The data is transmitted as High Rate transmissions in 12 spectral channels. Level 1.5 image data corresponds to the geolocated and radiometrically pre-processed image data, ready for further processing, e.g. the extraction of meteorological products. Any spacecraft specific effects have been removed, and in particular, linearisation and equalisation of the image radiometry has been performed for all SEVIRI channels. The on-board blackbody data has been processed. Both radiometric and geometric quality control information is included. msg_fes_vis006 WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:vis006 Rectified (level 1.5) Meteosat SEVIRI image data. The data is transmitted as High Rate transmissions in 12 spectral channels. Level 1.5 image data corresponds to the geolocated and radiometrically pre-processed image data, ready for further processing, e.g. the extraction of meteorological products. Any spacecraft specific effects have been removed, and in particular, linearisation and equalisation of the image radiometry has been performed for all SEVIRI channels. The on-board blackbody data has been processed. Both radiometric and geometric quality control information is included.


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). msg_iodc_vis006 WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M mtg_fd:vis06_hrfi Rectified (level 1c) Meteosat FCI full disk image data in high spatial resolution (0.5km). Level 1c image data corresponds to the geolocated and radiometrically pre-processed image data, ready for further processing, e.g. the extraction of meteorological products. Any spacecraft-specific effects have been removed, and in particular, linearisation and equalisation of the image radiometry have been performed for all FCI channels. The onboard blackbody data has been processed. Both radiometric and geometric quality control information is included. mtg_fd_vis06_hrfi WCS ImageMosaic EPSG:4326 CRS:84 -70.0 70.0 -70.0 70.0 2024-09-16T02:40:00.000Z/2026-04-06T11:00:00.000Z/PT10M osmgray:waterareas features osm_waterareas pregeneralized) EPSG:3857 CRS:84 -180.00000000000003 179.9999999171868 -89.75520716716356 85.00022935405845 1.25E7 osmgray:waterways features osm_waterways pregeneralized) EPSG:3857 CRS:84 -180.00000000000003 179.9999999171868 -78.19702017516258 82.4903440535162 1000000.0 mumi:wideareacoverage_rgb_airmass mumi_wideareacoverage_rgb_airmass WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -89.9999008178711 89.9999008178711 2021-06-03T18:00:00.000Z/2026-04-06T09:00:00.000Z/PT3H mumi:wideareacoverage_rgb_ash mumi_wideareacoverage_rgb_ash WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -89.9999008178711 89.9999008178711 2021-06-03T18:00:00.000Z/2026-04-06T09:00:00.000Z/PT3H mumi:wideareacoverage_rgb_dust mumi_wideareacoverage_rgb_dust WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -89.9999008178711 89.9999008178711 2021-06-03T18:00:00.000Z/2026-04-06T09:00:00.000Z/PT3H mumi:wideareacoverage_rgb_natural mumi_wideareacoverage_rgb_natural WCS ImageMosaic EPSG:4326 CRS:84 -180.0 180.0 -89.9999008178711 89.9999008178711 2021-06-03T18:00:00.000Z/2026-04-06T09:00:00.000Z/PT3H mumi:worldcloudmap_ir108 WCS ImageMosaic mumi_worldcloudmap_ir108 EPSG:4326 CRS:84 -180.0 180.0 -89.9999008178711 89.9999008178711 2021-06-06T15:00:00.000Z/2026-04-06T09:00:00.000Z/PT3H msg_fes:wv062 Rectified (level 1.5) Meteosat SEVIRI image data. The data is transmitted as High Rate transmissions in 12 spectral channels. Level 1.5 image data corresponds to the geolocated and radiometrically pre-processed image data, ready for further processing, e.g. the extraction of meteorological products. Any spacecraft specific effects have been removed, and in particular, linearisation and equalisation of the image radiometry has been performed for all SEVIRI channels. The on-board blackbody data has been processed. Both radiometric and geometric quality control information is included. msg_fes_wv062 WCS ImageMosaic EPSG:4326 CRS:84 -77.0 77.0 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M msg_iodc:wv062 Rectified (level 1.5) Meteosat SEVIRI image data. The data is transmitted as High Rate transmissions in 12 spectral channels. Level 1.5 image data corresponds to the geolocated and radiometrically pre-processed image data, ready for further processing, e.g. the extraction of meteorological products. Any spacecraft specific effects have been removed, and in particular, linearisation and equalisation of the image radiometry has been performed for all SEVIRI channels. The on-board blackbody data has been processed. Both radiometric and geometric quality control information is included.

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). msg_iodc_wv062 WCS ImageMosaic EPSG:4326 CRS:84 -35.5 118.5 -77.0 77.0 2020-08-01T00:00:00.000Z/2026-04-06T10:45:00.000Z/PT15M