Datasets

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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(EXPERIMENTAL) Precipitation: Quantile-based weekly guidance maps

b'Detailed information on these EXPERIMENTAL products can be found

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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 ...

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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 ...

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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 ...

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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...

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Map of Relative Operating Characteristics (ROC) - ROCMAP

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

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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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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.

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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.

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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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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...

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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...

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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

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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

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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

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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 - Reliability Diagram - SEAS5

The reliability diagram shows the reliability of the ECMWF seasonal forecast system (SEAS5) with ...

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Precipitation - ROC Diagram - SEAS5

This chart shows the Relative Operating Characteristics (ROC) diagram for the three-month ...

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Precipitation - ROC Skill Scores - SEAS5

This chart shows the spatial variation in the Relative Operating Characteristics (ROC) skill ...

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Precipitation - SEAS5

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

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Precipitation - Anomaly Correlation Coefficient - SEAS5

This chart shows the spatial variation in the Anomaly Correlation Coefficient (ACC) for the ...

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Precipitation Area Averages - Seasonal Forecast - SEAS5

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

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