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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 - Tue, 06/23/2026

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Agrometeorological indicators time-series from 1979 to present derived from reanalysis

This catalogue entry provides the time series of the originally gridded Agrometeorological indicators from 1979 to present derived from reanalysis, also known as AgERA5. The main difference with the related entry is that the dataset is organised here to make time the primary dimension for analysis and extraction. For any user-defined location (point) or small area, the dataset returns the temporal evolution of the selected variables, enabling efficient time-series studies without requiring users to download and manage full global gridded files.

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

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Seasonal forecasts of river discharge and related data by the European Flood Awareness System

This dataset provides gridded modelled daily hydrological time series forced with seasonal meteorological forecasts. The dataset is a consistent representation of the most important hydrological variables across the European Flood Awareness (EFAS) domain. The temporal resolution is daily forecasts initialised once a month consisting of:

River discharge
Volumetric soil moisture
Snow water equivalent
Soil wetness index (root zone)
Runoff water equivalent (surface plus subsurface)

calendar_today Interval/period: Sun, 11/01/2020 - Mon, 06/01/2026

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Seasonal forecasts of river discharge and related data by the Global Flood Awareness System

This dataset provides an ensemble of forecasted time series of gridded hydrological data forced with seasonal meteorological forecasts. The data set is a product of the Global Flood Awareness System (GloFAS) and offers a consistent representation of key hydrological variables across the global domain including:

River discharge
Soil wetness index (root zone)
Snow water equivalent
Runoff water equivalent (surface plus subsurface)

calendar_today Interval/period: Tue, 12/01/2020 - Mon, 06/01/2026

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Snow cover extent from 1982 to present derived from satellite observations

This dataset provides daily estimates of snow-covered land areas obtained from observations collected by multiple optical satellite instruments. As snow cover plays a crucial role in weather and climate, this data is particularly valuable for monitoring, estimating and assessing relevant changes.
It provides Level 3 collated (L3C) processed products, namely global daily single-sensor Snow cover fraction viewable (SCFV) and Snow cover fraction on ground (SCFG) products, both of which are based on optical satellite data.

calendar_today Interval/period: Fri, 01/01/1982 - Tue, 09/30/2025

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Soil moisture gridded data from 1978 to present

The C3S satellite soil moisture (SM) service provides a range of global soil moisture variables derived from numerous satellite sensors, including scatterometers and radiometers. The products are designed primarily for applications related to climate variability and change, land–atmosphere interactions, global biogeochemical cycles, ecology, hydrological and land surface modelling, drought monitoring, and meteorology.

calendar_today Interval/period: Wed, 11/01/1978 - Sat, 06/20/2026

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Subseasonal re-forecast experiment (2004-2023, 11 members) with sea ice SPP

11-member coupled subseasonal re-forecast experiment using a prototype CY49R2 configuration of the IFS–NEMO4–SI3 system. Re-forecasts are initialized on the first day of each month, covering the period 2004 to 2023, and are integrated to +46 days. The atmospheric component runs at Tco319L137 and is initialized from ERA5, ocean and sea-ice components run at eORCA0.25Z75 and are initialized from ORAS6.

calendar_today Interval/period: N/A

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TCo1279 CY50R1 wave hindcast using operational winds 2016-2020 for AIFS training

Standalone ecWAM wave model CY50R1 with altimeter wave height assimilation forced by operational lwda 6-hourly stress equivalent neutral 10m winds, air density, gustiness and sea ice fraction. Native grid is Tco1279 (9km), 36 directions, 36 frequencies. See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, 6-hourly output, many parameters.

calendar_today Interval/period: N/A

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TCo1279 CY50R1 wave hindcast using operational winds 2021-2025 for AIFS training

Standalone ecWAM wave model CY50R1 with altimeter wave height assimilation forced by operational lwda 6-hourly stress equivalent neutral 10m winds, air density, gustiness and sea ice fraction (2021-2026-02-03). Native grid is Tco1279 (9km), 36 directions, 36 frequencies, See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, 6-hourly output, many parameters.

calendar_today Interval/period: N/A

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TCo1279 CY50R1 wave hindcast using operational winds and ORAS6 currents 2016-2020 for AIFS training

Standalone ecWAM wave model CY50R1 with altimeter wave height assimilation forced by operational lwda 6-hourly stress equivalent neutral 10m winds, air density, gustiness and sea ice fraction AND surface currents from ORAS6 (2016-2020). Native grid is Tco1279 (9km), 36 directions, 36 frequencies, current refraction. See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, 6-hourly output, many parameters.

calendar_today Interval/period: N/A

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TCo1279 CY50R1 wave hindcast using operational winds and ORAS6 currents 2021-2025 for AIFS training

Standalone ecWAM wave model CY50R1 with altimeter wave height assimilation forced by operational lwda 6-hourly stress equivalent neutral 10m winds, air density, gustiness and sea ice fraction AND surface currents from ORAS6 (2021-2026-02-03). Native grid is Tco1279 (9km), 36 directions, 36 frequencies, current refraction. See Bidlot et al. 2026: Wave Hindcast for ERA6 Preparation and Training Data Driven Models. ECMWF Tech Memo, in preparation, 6-hourly output, many parameters.

calendar_today Interval/period: N/A

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Seasonal forecast anomalies on pressure levels

This entry covers pressure-level data post-processed for bias adjustment on a monthly time resolution.

calendar_today Interval/period: Sun, 01/01/2017 - Mon, 06/01/2026

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Seasonal forecast anomalies on single levels

This entry covers single-level data post-processed for bias adjustment on a monthly time resolution.

calendar_today Interval/period: Sun, 01/01/2017 - Mon, 06/01/2026

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Seasonal forecast daily and subdaily data on single levels

This entry covers single-level data and soil-level data at the original time resolution (once a day, or once every 6 hours, depending on the variable).

calendar_today Interval/period: Thu, 01/01/1981 - Mon, 06/01/2026

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Seasonal forecast monthly averages of ocean variables

This entry covers global ocean data aggregated to a monthly time resolution. The catalogue entry includes temperature and salinity characteristics of the upper oceans and complements the other seasonal forecast catalogue entries for the land and atmospheric variables.

calendar_today Interval/period: Fri, 01/01/1993 - Mon, 06/01/2026

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Seasonal forecast monthly statistics on pressure levels

This entry covers pressure-level data aggregated on a monthly time resolution.

calendar_today Interval/period: Thu, 01/01/1981 - Mon, 06/01/2026

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Seasonal forecast monthly statistics on single levels

This entry covers single-level data aggregated on a monthly time resolution.

calendar_today Interval/period: Thu, 01/01/1981 - Mon, 06/01/2026

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Seasonal forecast of fire danger indices from the Copernicus Emergency Management Service

This dataset offers modeled daily fire danger time series, driven by seasonal weather forecasts. It provides long-range predictions of meteorological conditions conducive to the initiation, spread, and persistence of fires. The fire danger metrics included in this dataset are part of an extensive dataset produced by the Copernicus Emergency Management Service (CEMS) for the European Forest Fire Information System (EFFIS) and the Global Wildfire Information System (GWIS).

calendar_today Interval/period: Sun, 02/01/1981 - Fri, 05/01/2026

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Seasonal forecast subdaily data on pressure levels

This entry covers pressure-level data at the original time resolution (once every 12 hours).

calendar_today Interval/period: Thu, 01/01/1981 - Mon, 06/01/2026

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S2S global sub-seasonal to seasonal ensemble real-time forecasts from multiple NWP and research centres since 2015

The Sub-seasonal To Seasonal dataset (S2S) consists of global ensemble real-time forecasts and reforecasts from thirteen numerical weather prediction (NWP) and research centres.
S2S project behind the dataset started in 2013 as a joint initiative of the World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP).
The goal of S2S project was to improve sub-seasonal forecast skill through combining multiple forecasting systems, enable multi-model evaluations and enhance knowledge sharing between operational centres.

calendar_today Interval/period: Thu, 01/01/2015 - Mon, 06/29/2026

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S2S global sub-seasonal to seasonal ensemble reforecasts from multiple NWP and research centres since 2015

The Sub-seasonal To Seasonal dataset (S2S) consists of global ensemble real-time forecasts and reforecasts from thirteen numerical weather prediction (NWP) and research centres.
S2S project behind the dataset started in 2013 as a joint initiative of the World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP).
The goal of S2S project was to improve sub-seasonal forecast skill through combining multiple forecasting systems, enable multi-model evaluations and enhance knowledge sharing between operational centres.

calendar_today Interval/period: Tue, 03/01/2011 - Sun, 08/09/2026

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Sea ice thickness gridded data for the Arctic derived from satellite observations

This dataset provides gridded sea ice thickness data for the Arctic, derived from satellite observations. Sea ice plays a vital role in the climate system, influencing air-sea interactions, the Earth’s energy balance, and marine ecosystems. It is recognised by the Global Climate Observing System (GCOS) as an Essential Climate Variable (ECV). Sea ice thickness is a key characteristic used alongside other parameters such as concentration, edge, and type, all available in the Climate Data Store (CDS).

calendar_today Interval/period: Tue, 10/01/2002 - Sun, 04/12/2026

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Sea level gridded data from satellite observations for the global ocean from 1993 to present

This dataset provides gridded daily and monthly mean global estimates of sea level anomaly based on satellite altimetry measurements. The rise in global mean sea level in recent decades has been one of the most important and well-known consequences of climate warming, putting a large fraction of the world population and economic infrastructure at greater risk of flooding. However, changes in the global average sea level mask regional variations that can be one order of magnitude larger.

calendar_today Interval/period: Fri, 01/01/1993 - Fri, 01/16/2026

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River discharge and related forecasted data by the European Flood Awareness System

This dataset provides gridded modelled hydrological time series forced with medium-range meteorological forecasts. The data is a consistent representation of the most important hydrological variables across the European Flood Awareness System (EFAS) domain. The temporal resolution is sub-daily high-resolution and ensemble forecasts of:

River discharge
Volumetric soil moisture
Snow water equivalent
Soil wetness index (root zone)
Runoff water equivalent (surface plus subsurface)

calendar_today Interval/period: Thu, 10/11/2018 - Mon, 06/01/2026

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River discharge and related forecasted data by the Global Flood Awareness System

This dataset provides an ensemble of forecast time series of gridded hydrological data. The data set is a product of the Global Flood Awareness System (GloFAS) and offers a consistent representation of key hydrological variables across the global domain including:

River discharge
Soil wetness index (root zone)
Snow water equivalent
Runoff water equivalent (surface plus subsurface)

calendar_today Interval/period: Tue, 11/05/2019 - Wed, 07/01/2026

open_in_newview in EWDS