Datasets
Displaying 51 - 69 of 69
Water vapour is has been recognised as an Essential Climate Variable as it provides the basis for all cloud formation and physics and furthermore influences the Earth's heat budget due to its high absorbance of long and short-wave radiation. Total column water vapour (TCWV) is a measure of the integrated water vapour content of the atmosphere.
This catalogue entry provides the TCWV data product usually called Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data (HOAPS).
This catalogue entry provides the TCWV data product usually called Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data (HOAPS).
Interval/period: Wed, 05/01/2002 - Thu, 03/01/2012
This dataset provides hydrological seasonal forecasts of monthly mean river discharge across Europe. Two hydrological model ensembles are provided. The first is an E-HYPE multi-model system comprising eight model realisations using a catchment-based resolution. The second comprises the E-HYPEgrid, VIC-WUR and EFAS (LISFLOOD) hydrological models at a 5km gridded resolution.
Interval/period: Tue, 12/01/2020 - Wed, 04/01/2026
The dataset presents wave climate indicators based upon ocean surface wave parameters computed for a European-wide domain. This dataset provides an understanding of the European wave climate under the impact of climate change. It provides added value for various coastal sectors and studies such as port, shipping, and coastal management.
Interval/period: Thu, 01/01/1976 - Fri, 12/31/2100
The dataset presents time series of the coastal wave climate based upon ocean surface wave parameters computed for a European-wide domain. This dataset provides an understanding of the wave climate under the impact of climate change for the Northwest European Shelf and Mediterranean Sea. It provides added value for various coastal sectors and studies such as port, shipping, and coastal management.
Interval/period: Thu, 01/01/1976 - Fri, 12/31/2100
This entry covers pressure-level data post-processed for bias adjustment on a monthly time resolution.
Interval/period: Sun, 01/01/2017 - Fri, 05/01/2026
This entry covers single-level data post-processed for bias adjustment on a monthly time resolution.
Interval/period: Sun, 01/01/2017 - Fri, 05/01/2026
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).
Interval/period: Thu, 01/01/1981 - Fri, 05/01/2026
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.
Interval/period: Fri, 01/01/1993 - Fri, 05/01/2026
This entry covers pressure-level data aggregated on a monthly time resolution.
Interval/period: Thu, 01/01/1981 - Fri, 05/01/2026
This entry covers single-level data aggregated on a monthly time resolution.
Interval/period: Thu, 01/01/1981 - Fri, 05/01/2026
This entry covers pressure-level data at the original time resolution (once every 12 hours).
Interval/period: Thu, 01/01/1981 - Fri, 05/01/2026
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)
River discharge
Volumetric soil moisture
Snow water equivalent
Soil wetness index (root zone)
Runoff water equivalent (surface plus subsurface)
Interval/period: Sun, 11/01/2020 - Wed, 04/01/2026
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)
River discharge
Soil wetness index (root zone)
Snow water equivalent
Runoff water equivalent (surface plus subsurface)
Interval/period: Tue, 12/01/2020 - Wed, 04/01/2026
This dataset provides modelled daily hydrological time series forced with seasonal meteorological reforecasts. 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 from 1991 to near real-time of:
River discharge
Volumetric soil moisture
Snow water equivalent
Soil wetness index (root zone)
Runoff water equivalent (surface plus subsurface)
River discharge
Volumetric soil moisture
Snow water equivalent
Soil wetness index (root zone)
Runoff water equivalent (surface plus subsurface)
Interval/period: Fri, 01/01/1999 - Tue, 05/12/2026
Snow water equivalent (SWE) is an important variable indicating the amount of accumulated snow on land surfaces. SWE describes the amount of liquid water in a snowpack that would be formed if the snowpack was completely melted. This dataset is useful for monitoring snow conditions, freshwater storage, and climate studies. It provides daily estimates of SWE for the Northern Hemisphere from 1979 to present derived from passive microwave radiometer (PMR) measurements onboard polar-orbiting satellites.
Interval/period: Tue, 01/02/1979 - Tue, 05/12/2026
This dataset provides precipitation and near surface air temperature for Europe as Essential Climate Variables (ECVs) and as a set of Climate Impact Indicators (CIIs) based on the ECVs.
ECV datasets provide the empirical evidence needed to understand the current climate and predict future changes.
CIIs contain condensed climate information which facilitate relatively quick and efficient subsequent analysis. Therefore, CIIs make climate information accessible to application focussed users within a sector.
ECV datasets provide the empirical evidence needed to understand the current climate and predict future changes.
CIIs contain condensed climate information which facilitate relatively quick and efficient subsequent analysis. Therefore, CIIs make climate information accessible to application focussed users within a sector.
Interval/period: N/A
This dataset provides high-resolution gridded temperature and precipitation observations from a selection of sources. Additionally the dataset contains daily global average near-surface temperature anomalies. All fields are defined on either daily or monthly frequency. The datasets are regularly updated to incorporate recent observations. The included data sources are commonly known as GISTEMP, Berkeley Earth, CPC and CPC-CONUS, CHIRPS, IMERG, CMORPH, GPCC and CRU, where the abbreviations are explained below.
Interval/period: Thu, 01/01/1750 - Fri, 01/01/2021
This dataset contains temperature exposure statistics for Europe (e.g. percentiles) derived from the daily 2 metre mean, minimum and maximum air temperature for the entire year, winter (DJF: December-January-February) and summer (JJA: June-July-August). These statistics were derived within the C3S European Health service and are available for different future time periods and using different climate change scenarios.
Interval/period: Wed, 01/01/1986 - Mon, 12/31/2085
The International Grand Global Ensemble (TIGGE) dataset consists of global medium-range ensemble forecasts from thirteen numerical weather prediction (NWP) centres.
The dataset has been available since October 2006. TIGGE was established as a key component of THORPEX: a World Weather Research Programme to accelerate the improvements in the accuracy of 1-day to 2 week high-impact weather forecasts (THORPEX stands for THe Observing system Research and Predictability EXperiment)
The dataset has been available since October 2006. TIGGE was established as a key component of THORPEX: a World Weather Research Programme to accelerate the improvements in the accuracy of 1-day to 2 week high-impact weather forecasts (THORPEX stands for THe Observing system Research and Predictability EXperiment)
Interval/period: Sun, 10/01/2006 - Wed, 05/06/2026