Datasets

Land cover classification gridded maps from 1992 to present derived from satellite observations

This dataset provides global maps describing the land surface into 22 classes, which have been defined using the United Nations Food and Agriculture Organization’s (UN FAO) Land Cover Classification System (LCCS). In addition to the land cover (LC) maps, four quality flags are produced to document the reliability of the classification and change detection.

calendar_today Interval/period: Wed, 01/01/1992 - Sat, 01/01/2022

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Land surface temperature monthly gridded data from 1995 to present derived from satellite observations

This dataset contains monthly daytime and nighttime clear-sky land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on polar orbiting satellites. Daytime and nighttime temperatures correspond to 10:00 and 22:00 local solar time (local solar time is defined as the time in a 24 hour day with 12 noon occurring when the sun is at its highest point at that longitude).

calendar_today Interval/period: Thu, 06/01/1995 - Tue, 12/31/2024

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(EXPERIMENTAL) Precipitation: Quantile-based weekly guidance maps

b'Detailed information on these EXPERIMENTAL products can be found

calendar_today Interval/period: N/A

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Lead time of continuous ranked probability skill score (CRPSS) of 24 hour precipitation forecasts falls to 10%

This diagram gives a measure of the effectiveness of the model by showing how far ahead in the ...

calendar_today Interval/period: N/A

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Lead time of 1-SEEPS of 24-h precipitation reaching a threshold

This diagram gives a measure of the effectiveness of the model by showing when the 1-SEEPS of ...

calendar_today Interval/period: N/A

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Lead time of stable equitable error in probability space (1-SEEPS) of 24 hour precipitation reaching a threshold

This diagram gives a measure of the effectiveness of the model by showing when the 1-SEEPS of ...

calendar_today Interval/period: N/A

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Leaf area index and fraction absorbed of photosynthetically active radiation 10-daily gridded data from 1981 to present

This catalogue entry provides satellite-derived estimates of two related variables: Leaf Area Index (LAI) and fraction of Absorbed Photosynthetically Active Radiation (fAPAR). LAI and fAPAR are both Essential Climate Variables (ECVs) as defined by the Global Climate Observing System (GCOS), meaning they have been designated as essential for contributing to a comprehensive view of Earth’s climate, its variability and trends.

calendar_today Interval/period: Tue, 09/01/1981 - Sun, 12/01/2024

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Lightning flash density during last 6 hours

Lightning flash densities are diagnosed from forecast values of hydrometeor content, CAPE (convective available potential energy), and cloud base height that has been output by the convection scheme...

calendar_today Interval/period: N/A

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Map of Relative Operating Characteristics (ROC) - ROCMAP

**Note:** In **June 2023** ECMWF implemented a **major upgrade ...**

calendar_today Interval/period: N/A

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Experimental: GraphCast ML model: Rain and mean sea level pressure

GraphCast (Google DeepMind): a deep learning-based system developed by Google DeepMind.It is initialised with ECMWF analysis. GraphCast operates at 0.25° resolution.

calendar_today Interval/period: N/A

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Experimental: GraphCast ML model: Total accumulated precipitation

GraphCast (Google DeepMind): a deep learning-based system developed by Google DeepMind.It is initialised with ECMWF analysis. GraphCast operates at 0.25° resolution.

calendar_today Interval/period: N/A

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Fire burned area from 2001 to present derived from satellite observations

The Burned Area products provide global information of total burned area (BA) at pixel and grid scale. The BA is identified with the date of first detection of the burned signal in the case of the pixel product, and with the total BA per grid cell in the case of the grid product. The products were obtained through the analysis of reflectance changes from medium resolution sensors (Terra MODIS, Sentinel-3 OLCI), supported by the use of MODIS thermal information.

calendar_today Interval/period: Mon, 01/01/2001 - Fri, 04/01/2022

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Fire danger indicators for Europe from 1970 to 2098 derived from climate projections

The dataset presents projections of fire danger indicators for Europe based upon the Canadian Fire Weather Index System (FWI) under future climate conditions. The FWI is a meteorologically based index used worldwide to estimate the fire danger and is implemented in the Global ECMWF Fire Forecasting model (GEFF). In this dataset, daily FWI values, seasonal FWI values, and other FWI derived, threshold-specific, indicators were modelled using the GEFF model to estimate the fire danger in future climate scenarios.

calendar_today Interval/period: N/A

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Fire danger indices historical data from the Copernicus Emergency Management Service

This data set provides complete historical reconstruction of meteorological conditions favourable to the start, spread and sustainability of fires. The fire danger metrics provided are part of a vast dataset produced by the Copernicus Emergency Management Service for the

calendar_today Interval/period: Wed, 01/03/1940 - Tue, 05/05/2026

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Fire radiative power and active fire pixels from 2020 to present derived from satellite observations

This dataset provides global information on the timing and location of Active Fires (AF) burning on Earth's surface during satellite overpasses, and also records their Fire Radiative Power (FRP) as a measure of strength. FRP relates to a fire's combustion rate, and the rate at which smoke containing greenhouse gases, reactive gases and particular matter is released into the atmosphere. The vast majority of detected hotspots are related to landscape fires, however other high temperature targets such as active volcanoes and gas flares are also present in the data.

calendar_today Interval/period: Wed, 01/01/2020 - Fri, 02/28/2025

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Agroclimatic indicators from 1951 to 2099 derived from climate projections

This dataset provides agroclimatic indicators used to characterise plant-climate interactions for global agriculture. Agroclimatic indicators are useful in conveying climate variability and change in the terms that are meaningful to the agricultural sector. The objective of this dataset is to provide these indicators at a global scale in an easily accessible and usable format for further downstream analysis and the forcing of agricultural impact models.

calendar_today Interval/period: Mon, 01/01/1951 - Sat, 05/09/2026

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Agrometeorological indicators from 1979 to present derived from reanalysis

This dataset provides daily surface meteorological data for the period from 1979 to present as input for agriculture and agro-ecological studies. This dataset is based on the hourly ECMWF ERA5 data at surface level and is referred to as AgERA5. Acquisition and pre-processing of the original ERA5 data is a complex and specialized job. By providing the AgERA5 dataset, users are freed from this work and can directly start with meaningful input for their analyses and modelling.

calendar_today Interval/period: Mon, 01/01/1979 - Thu, 04/30/2026

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AIFS ENS Control: Rain and mean sea level pressure

Precipitation totals include all precipitation types (rain, snow etc.) (in mm of rainfall or rainfall equivalent) falling in 6 hour or 12 hour periods using colour shading...

calendar_today Interval/period: N/A

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AIFS ENS Control: Total accumulated precipitation

Total accumulated rainfall charts identify areas at greater risk of significant rainfall (or rain equivalent e.g.snowfall) but give no information regarding whether this occurs over a short or prolonged time period...

calendar_today Interval/period: N/A

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AIFS ENS Probabilities: 10m wind speed

AIFS ENS: a deep learning-based system developed by ECMWF. It is initialised with ECMWF perturbed forecasts and operates at N320 (~0.25Deg) resolution

calendar_today Interval/period: N/A

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AIFS ENS Probabilities: total precipitation (day 10-15)

AIFS ENS: a deep learning-based system developed by ECMWF. It is initialised with ECMWF perturbed forecasts and operates at N320 (~0.25Deg) resolution

calendar_today Interval/period: N/A

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AIFS ENS Probabilities: total precipitation, last 24 hours

AIFS ENS: a deep learning-based system developed by ECMWF. It is initialised with ECMWF perturbed forecasts and operates at N320 (~0.25Deg) resolution

calendar_today Interval/period: N/A

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