The EUMETSAT Earth Observation portal provides EUMETSAT users a single point of online access to all EUMETSAT data and dissemination services. This allows users to discover, search and order data or/and subscribe to dissemination services (in particular to EUMETCast/GEONETCast). It will also, at a later stage, allow users to discover, search, order and subscribe earth observation data from other partner agencies via interoperability arrangements and using a Clearinghouse engine.

The European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) is an intergovernmental organization founded in 1986, consisting of 30 member states dedicated to the operation of meteorological satellites for monitoring weather, climate, and environmental phenomena. Headquartered in Darmstadt, Germany, EUMETSAT plays a crucial role in providing accurate and timely data and services to meteorological agencies, researchers, and policymakers worldwide. EUMETSAT operates a fleet of geostationary and polar-orbiting satellites equipped with a variety of instruments for observing Earth's atmosphere, oceans, and land surfaces. These satellites capture a wealth of data on weather patterns, atmospheric composition, sea surface temperatures, and other meteorological and environmental parameters. By integrating data from its satellites with ground-based observations and numerical weather prediction models, EUMETSAT produces a wide range of products and services to support weather forecasting, climate monitoring, and environmental analysis. One of EUMETSAT's primary data dissemination channels is its EUMETCast system, a satellite-based data distribution network that delivers real-time and near-real-time satellite data, imagery, and products directly to users' ground receiving stations. Through EUMETCast, meteorological agencies, research institutions, and other users can access a wealth of meteorological and environmental data for use in weather forecasting, climate research, and disaster management applications. In addition to data dissemination, EUMETSAT offers a range of services and products tailored to the needs of its users. These include operational weather forecasting services, such as the Nowcasting SAF (Satellite Application Facility) and the Numerical Weather Prediction SAF, which provide specialized products for short-range weather prediction. EUMETSAT also collaborates with other international organizations, such as the European Centre for Medium-Range Weather Forecasts (ECMWF) and the World Meteorological Organization (WMO), to develop and deliver joint products and services for global weather and climate monitoring. Overall, EUMETSAT plays a critical role in advancing meteorological science and enhancing our understanding of Earth's weather and climate system. By operating state-of-the-art satellite systems and providing comprehensive data and services, EUMETSAT contributes to improved weather forecasting, climate monitoring, and disaster preparedness, ultimately benefiting society and the environment. This page serves as a description of the service and access to their data portal.

The EUMETSAT Earth Observation discovery service allows users to discover earth observation data.

This dataset contains level 1C data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument onboard the Eumetsat EPS Metop-B satellite.

IASI was designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. The IASI L1c product contains infra-red radiance spectra at the 0.5cm-1 resolution, covering the range between 645.0 cm-1 and 2760 cm-1

This data set contains both the original processed data and reprocessed archive in the following directories based on processing algorithm. Please see information under the process tab for further information. Please note an erratum has been raised in relation to 2017 data please see the Ten-Year Assessment of IASI Radiance and Temperature in the documentation section.

This data has been provided by EUMETSAT to CEDA to support access to active scientists from the following institutions only.

• The Science and Technology Facilities Council (STFC)
• The National Centre for Earth Observation (NCEO)
• The National Centre for Atmospheric Science (NCAS)

If you are from one of these institutions, please apply for access below and follow the instructions. If you are not from one of these institutions, please go to the documentation section for the relevant link to the EUMETSAT EO portal where you can obtain the data directly.

Daily Logs provide monitoring information on the various EUMETCast data streams. Each Daily Log contains a list of files disseminated on EUMETCast over the previous 24-hour period and provides the user with an indication of the successful/unsuccessful dissemination of products. For full details on how to utilise the Daily Logs, see the Daily Log User Guide.

This Sentinel 3 data (2018.10.05) for Northern South China Sea including Pearl River Estuary was downloaded from the Sentinel 3 EUMETSAT data portal of https://coda.eumetsat.int/#/home.

This dataset represents the first historically reprocessed Level 2 coastal ocean surface wind vector climate data record from the Advanced Scatterometer (ASCAT) on MetOp-A sampled on a 12.5 km grid. This coastal dataset utilizes a spatial box filter to generate a spatial average of the Sigma-0 retrievals from the Level 1B dataset and obtains additional winds near the coast. Since the full resolution L1B Sigma-0 retrievals are used, all non-sea retrievals are discarded prior to the Sigma-0 averaging. Each box average Sigma-0 is then used to compute the vector cell wind using the same CMOD7 geophysical model function as in the operational OSI SAF ASCAT wind vector datasets. With this enhanced coastal retrieval, winds are computed as close to ~15 km from the coast. Each file corresponds to one complete orbit and is provided in netCDF version 3 format. The beginning of the orbit files is defined near the South Pole. ASCAT is a C-band fan beam radar scatterometer, providing two independent swaths of backscatter retrievals, aboard the MetOp-A platform in sun-synchronous polar orbit. It is a product of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) provided through the Royal Netherlands Meteorological Institute (KNMI). For more information on the MetOp mission, please visit: https://www.eumetsat.int/our-satellites/metop-series . For access to more contemporaneous and near-real-time MetOp-A ASCAT 12.5km data, please visit: https://podaac.jpl.nasa.gov/dataset/ASCATA-L2-Coastal. For more timely announcements, users are encouraged to register with the KNMI scatterometer email list: scat@knmi.nl. All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used. Use cases and feedback on the products will be much appreciated and in fact helps to sustain the reprocessing capability.

Surface and pressure level parameters from ECMWF IFS for African domain, produced twice a day for 00 and 12 UTC; analysis and forecast steps out to 5-6 days.

The SMOS Near Real Time products include Level 1 geo-located brightness temperature and Level 2 geo-located soil moisture estimation. The SMOS NRT L1 Light BUFR product contains brightness temperature geo-located on a reduced Gaussian grid (T511/N256), only for "land" pixels but keeping the full angular resolution. The pixels are consolidated in a full orbit dump segment (i.e. around 100 minutes of sensing time) with a maximum size of about 30MB per orbit. Spatial resolution is in the range of 30-50 km. This product is distributed in BUFR format. The SMOS NRT L2 Soil Moisture Neural Network (NN) product provides NRT soil moisture data based on the statistical coefficients estimated by a neural network. It is provided in the SMOS DGG grid and only at the satellite track. It also provides an estimation of the uncertainty of the estimated soil moisture product, and the probability that a soil moisture value is contaminated by Radio Frequency Interference (RFI). This product is distributed in NetCDF format. The L2 data product is also distributed via the EUMETCast Europe Service (DVB), upon registration on the EUMETSAT Earth Observation Portal (https://eoportal.eumetsat.int/userMgmt/gateway.faces). The Ku-band DVB reception station must be situated within the service coverage in Europe. SMOS NRT data is also regularly delivered to the UK Met-Office, then made available to operational agencies and research and development institutes via the WMO GTS Network. For an optimal exploitation of the SMOS NRT products please consult the read-me-first notes available in the Resources section below.

The IMA product, in BUFR format, is a EUMETSAT product extracted and processed from full resolution NOAA SSMIS SDR data, specifically from the IMAGER sub-instrument data.

A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset for the America Region (AMERICAS) based on retrievals from the GOES-13 Imager on board GOES-13 satellite. The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT),Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near realtime from GOES 13 in East position. GOES 13 imager level 1 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system.SST is retrieved from the GOES 13 infrared channels (3.9 and 10.8 micrometer) using a multispectralalgorithm. Due to the lack of 12 micrometer channel in the GOES 13 imager, SST retrieval is not possiblein daytime conditions. Atmospheric profiles of water vapor and temperature from a numericalweather prediction model, together with a radiatiave transfer model, are used to correct themultispectral algorithm for regional and seasonal biases due to changing atmospheric conditions.Every 30 minutes slot is processed at full satellite resolution. The operational products are thenproduced by remapping over a 0.05 degree regular grid (60S-60N and 135W-15W) SST fieldsobtained by aggregating 30 minute SST data available in one hour time, and the priority beinggiven to the value the closest in time to the product nominal hour. The product format is compliantwith the GHRSST Data Specification (GDS) version 2.

The Rapid Scanning Services (RSS) 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.

The Sea Ice Edge product is a classification product (open water/open ice/closed ice) and covers both the Northern and Southern Hemisphere. The sea ice edge is derived from passive microwave and active microwave sensors using a multi sensor methods with a Bayesian approach to combine the different sensors.

The Basic Meteorological Data (BMD) Service within the WMO Regional Association VI contains a set of data specific for this region which is multicast via the EUMETCast system. The data contains data such as SYNOP, TEMP, PILOT, Warnings and Tropical Cyclone data as well as forecast data in GRIB format from the European Centre for Medium-Range Weather Forecasting (ECMWF) and Deutscher Wetterdienst (DWD). In addition, charts of WAFS, Aerological Diagrams, basic meteorological field parameters and observations are disseminated in graphical representation.

A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-B (MetOp-B) platform (launched 17 Sep 2012).

The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR and SNPP/VIIRS. Global AVHRR level 1b data are acquired at Meteo- France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. NAR SNPP/VIIRS level 0 data are acquired through direct readout and converted into l1b at CMS. SST is retrieved from the AVHRR and VIIRS infrared channels using a multispectral algorithm. This product is delivered as four six hourly collated files per day on a regular 2km grid. The product format is compliant with the GHRSST Data Specification (GDS) version 2.

Reprocessed stress-equivalent 10m winds over the global oceans obtained from the QuikSCAT/SeaWinds scatterometer on a 50 km swath grid. The complete data record from the Ku-band scatterometer SeaWinds on QuikSCAT (19 July 1999 - 21 November 2009) has been reprocessed using the Pencil Beam Wind Processor (PenWP). ERA5 re-analysis winds from the European Centre for Medium-Range Weather Forecasts (ECMWF) have been used to initialise the ambiguity removal step in the wind processing and for validation and monitoring of the wind retrievals. The QuikSCAT level 1b data have been obtained from the NASA JPL Physical Oceanography Distributed Active Archive Center (PO.DAAC) web portal.

CSV data files containing records of mineral dust plume events (dust point source locations lat/long, start and end time, duration, plume movement direction, and sensor used for detection), extrapolated monthly, seasonal and annual dust plume event and dust days (i.e. count of days in which a dust plume was observed) and dust optical depth (DOD) data, and associated records of meteorological and hydrological variables for dust plume events (i.e. 10 m wind speed, lake area extents, catchment precipitation totals and specific source point surface wetting frequencies by precipitation and ephemeral flooding, and El Niño Southern Oscillation [ENSO 3.4] and South Indian Ocean Dipole [SIOD] index values) for Etosha Pan, Namibia for the analysis period from July 1999 to January 2023.

All datasets are readable using CSV file viewer software.

Dust plume event data were analysed manually by the author Natasha S. Wallum. Data used for detection were sourced from Terra and Aqua satellites MODIS level 1b and Aerosol data acquired from the Atmospheric Archive and Distribution System (LAADS) Distributed Active Archive Center (DAAC), located in the Goddard Space Flight Center in Greenbelt, Maryland (https://ladsweb.nascom.nasa.gov/) and SEVIRI data procured from the EUMETSAT Data Store (https://data.eumetsat.int/search?query=). Analysis of SEVIRI imagery utilised the Clear Sky Differencing (CSD) algorithm developed by Jon Murray and colleagues (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016JD025221).

Lake area extent data were derived by density thresholding of near-infrared (NIR) reflectance data from the MODIS Terra satellite obtained from NASA’s LAADS DAAC data portal (https://ladsweb.modaps.eosdis.nasa.gov/) and verified using Level-2 (8-day) images collected from Landsat 5 TM (1984–2012) and Landsat 8 OLI (2013 – present day) sensors were acquired through the USGS Earth Explorer data portal (www.earthexplorer.com).

The contributing catchment (Cuvelai-Etosha Basin) was derived from the HydroBASINS (Lehner and Grill, 2013) catchment database (https://hydrosheds.org/products/hydrobasins), and this area was used to derive daily precipitation inputs for 2000–2022 (July – June hydrological year) from The Integrated Multi-Satellite Retrievals for GPM (GPM-IMERG) and The Tropical Rainfall Measuring Mission (TRMM) gridded time-series of precipitation available from the Goddard Earth Science Data and Information Services Center (http://disc.gsfc.nasa.gov/).

These data were augmented by limited monthly precipitation records (2000–2022) from 10 local weather stations (Mahenene, Ondjiva, Namacunde, Oshaambelo, Ogongo, Ondangwa, Okashana, Okapya, Okaukuejo, and Mannheim) provided by the Southern African Science Service Centre for Climate Change and Adaptive Land Management (SASSCAL; https://sasscal.org/) and continuous rain gauge measurements recorded at Windpoort located in close proximity to Etosha Pan within the Cuvelai-Etosha Basin.

Near-surface (10 m) wind speeds (m/s) and cubed wind speed anomaly data were derived from ERA5-Land reanalysis model data product available from the Copernicus Climate Change Service Data Store (https://cds.climate.copernicus.eu/).

Surface wetting frequencies and time since wetting for dust event source points were calculated by the author Natasha S. Wallum using ArcGIS Pro (education licence on behalf of the University of Oxford).

Global climate indices of SST anomalies data (ENSO 3.4 and SIOD) were obtained from the Climate Diagnostics Centre (CDC) online archives (http://psl.noaa.gov/data/climateindices) and the Indian Ocean dipole (IOD) site maintained by the Frontier Research System for Global Change (FRSGC)/Japan Agency for Marine-Earth Science and Technology (JAMSTEC) Climate Variations Research Program (http://www.jamstec.go.jp).

The downwelling surface short-wave radiation flux (DSSF) refers to the radiative energy in the wavelength interval [0.3 microns, 4.0 microns] reaching the Earth's surface per time and surface unit. It essentially depends on the solar zenith angle, on cloud coverage, and to a lesser extent on atmospheric absorption and surface albedo. DSSF fields are crucial for a wide number of applications involving scientific domains like weather forecast, hydrology, climate, agriculture and environment-related studies. In numerical weather prediction and general circulation models of the atmosphere, satellite-derived DSSF estimates can either be used as a control variable or as a substitute to surface radiation measurement networks. Two products are operationally available, the first is available every 30 minutes and the second is a composite daily product (See distribution for details).

Reprocessed stress-equivalent 10m winds over the global oceans obtained from the ISS/RapidScat scatterometer on a 50 km swath grid. The complete data record from the Ku-band scatterometer RapidScat on the International Space Station (ISS) (3 October 2014 - 19 August 2016) has been reprocessed using the Pencil Beam Wind Processor (PenWP). ERA5 re-analysis winds from the European Centre for Medium-Range Weather Forecasts (ECMWF) have been used to initialise the ambiguity removal step in the wind processing and for validation and monitoring of the wind retrievals. The RapidScat level 1b data have been obtained from the NASA JPL Physical Oceanography Distributed Active Archive Center (PO.DAAC) web portal.

The Meteosat Second Generation (MSG-3) satellites are spin stabilized geostationary satellites operated by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) to provide accurate weather monitoring data through its primary instrument the Spinning Enhanced Visible and InfraRed Imager (SEVIRI), which has the capacity to observe the Earth in 12 spectral channels. Eight of these channels are in the thermal infrared, providing among other information, observations of the temperatures of clouds, land and sea surfaces at approximately 5 km resolution with a 15 minute duty cycle. This Group for High Resolution Sea Surface Temperature (GHRSST) dataset produced by the US National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) is derived from the SEVIRI instrument on the second MSG satellite (also known as Meteosat-9) that was launched on 22 December 2005. Skin sea surface temperature (SST) data are calculated from the infrared channels of SEVIRI at full resolution every 15 minutes. L2P data products with Single Sensor Error Statistics (SSES) are then derived following the GHRSST-PP Data Processing Specification (GDS) version 2.0.