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Accumulated Cyclone Energy (Verification) - Seasonal Forecast - SEAS5

This chart provides information on the verification of forecasts of Accumulated Cyclone Energy ...

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Accumulated Cyclone Energy - Seasonal Forecast - SEAS5

The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...

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Lake surface water temperature from 1995 to present derived from satellite observations

This dataset provides daily mid-morning measurements for Lake Surface Water Temperature (LSWT) derived from satellite observations. LSWT, together with five other variables (lake ice cover and thickness, water leaving reflectance, water level and extent) is recognised as the Essential Climate Variable (ECV) "Lakes" by the Global Climate Observing System (GCOS). LSWT is a key parameter in determining lake ecological conditions as it influences physical, chemical and biological processes.

calendar_today Interval/period: Thu, 06/01/1995 - Sat, 05/09/2026

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Lake water levels from 1992 to present derived from satellite observations

This dataset provides lake water levels for 311 selected lakes on four continents derived from satellite radar altimetry.

calendar_today Interval/period: Wed, 01/01/1992 - Sat, 05/09/2026

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Mean wave period and mean wave direction

Mean wave period is the spectrally averaged period of the waves. Wave periods are shown in seconds using colour shading – click on the middle icon to the bottom right for the scale...

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Essential climate variables for assessment of climate variability from 1979 to present

The Essential Climate Variables for assessment of climate variability from 1979 to present dataset contains a selection of climatologies, monthly anomalies and monthly mean fields of Essential Climate Variables (ECVs) suitable for monitoring and assessment of climate variability and change. Selection criteria are based on accuracy and temporal consistency on monthly to decadal time scales.

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

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Extreme precipitation risk indicators for Europe and European cities from 1950 to 2019

The dataset presents climate impact indicators related to extreme precipitation in Europe under current climate conditions. The suite of indicators include recent historic records, recurrence intervals, and other relevant statistical measures to evaluate the magnitude and frequency of extreme precipitation events. These are provided as gridded products, with one product covering the whole of Europe, and the other higher resolution product focused on 20 European cities that were identified as vulnerable to urban pluvial flooding based on stakeholder surveys.

calendar_today Interval/period: Sun, 01/01/1950 - Tue, 12/31/2019

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pan-Arctic regional reanalysis daily and monthly data from 1986 to present

The C3S Arctic Regional Reanalysis second generation (CARRA2) dataset contains daily and monthly meteorological variables at 2.5 km resolution. These variables are specified at single levels (including surface) and also at soil, height, pressure and model levels. These daily and monthly data are pre-calculated and have the following types depending on the variables: daily and monthly averages, extremes and totals.

calendar_today Interval/period: Wed, 01/01/1986 - Sun, 12/31/2023

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pan-Arctic regional reanalysis sub-daily data from 1986 to present

The C3S Arctic Regional Reanalysis second generation (CARRA2) dataset contains 3-hourly analyses at 2.5 km resolution. These variables are specified at single levels (including surface) and also at soil, height, pressure and model levels. Additionally, hourly forecasts are available between the analysis times and particularly forecasts up to 18 hours initialised from the analyses at 00 and 12 UTC.

calendar_today Interval/period: Wed, 01/01/1986 - Sun, 12/31/2023

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Precipitation monthly and daily gridded data from 1979 to present derived from satellite measurements

Within the hydrological cycle, precipitation is the main component of water transport from the atmosphere to the Earth’s surface. Precipitation varies strongly, depending on geographical location, season, synopsis, and other meteorological factors. The supply of freshwater through precipitation is vital for many subsystems of the climate and the environment, but there are also hazards related to extensive precipitation or the lack of precipitation.

calendar_today Interval/period: Mon, 01/01/1979 - Mon, 09/30/2024

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Precipitation monthly and daily gridded data from 2000 to 2017 derived from satellite microwave observations

This dataset provides global estimates of daily accumulated and monthly means of precipitation. The precipitation estimates are based on a merge of passive microwave observations from two different radiometer classes operating on multiple Low Earth Orbit (LEO) satellites.

calendar_today Interval/period: Sat, 01/01/2000 - Sun, 12/31/2017

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Probabilities: mean wave period

This chart shows probability information regarding mean wave period derived from the ECMWF ...

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Probabilities: significant wave height

This chart shows probability information regarding significant wave height derived from the ...

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Probabilities:  mean wave period (day 10-15)

These charts show the probability of various mean periods of ocean waves 10-15 days ahead. The ...

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Tropical Storm Standardised Density - Seasonal Forecast - SEAS5

The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...

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UERRA regional reanalysis for Europe on soil levels from 1961 to 2019

The UERRA dataset provides estimations of the climate in Europe based on model data
combined with observations using the UERRA-HARMONIE system and MESCAN-SURFEX system.
UERRA-HARMONIE is a 3-dimensional data assimilation system, whereas
MESCAN-SURFEX is a complementary surface analysis system. In general, the
assimilation systems are able to estimate biases between observations and to
sift good-quality data from poor data. The laws of physics allow for estimates

calendar_today Interval/period: Thu, 10/18/2018 - Wed, 07/31/2019

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Weather-Induced Extremes Digital Twin (Extremes DT)

The DestinE Digital Twin for Weather-Induced Extremes (Extremes DT) supports responding and adapting to extreme events in a changing world by providing a capability to produce tailored simulations and address what-if scenarios related to extreme events in a past, present and future climate, complementing existing capabilities at national and European level.

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Windsea: mean period of waves and direction

Mean windsea wave direction is the spectrally averaged direction of propagation of the windsea waves (weighted by wave height). Arrow length is proportional to the speed of wave propagation...

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Windsea: significant wave height and mean direction

Significant windsea wave height can be shown to correspond to the average wave height of the top one-third highest windsea waves. Wave heights are shown in metres using colour shading...

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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, 04/06/2026

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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
Soil moisture for three soil layers
Snow water equivalent

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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 - Thu, 05/07/2026

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River discharge and related historical data from the European Flood Awareness System

This dataset provides gridded modelled sub-daily and daily hydrological time series forced with meteorological observations. The data set is a consistent representation of the most important hydrological variables across the European Flood Awareness System (EFAS) domain. The temporal resolution is up to 30 years modelled time series of:

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

calendar_today Interval/period: Tue, 01/01/1991 - Tue, 05/05/2026

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River discharge and related historical data from the Global Flood Awareness System

This dataset provides gridded modelled daily hydrological time series forced with meteorological reanalysis 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: Mon, 01/01/1979 - Tue, 05/05/2026

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Probabilities:  significant wave height (day 10-15)

These charts show probability of various heights of significant waves 10-15 days ahead. The ...

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