Datasets

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

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

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

These charts show MSLP and 850hPa forecasts for the Ensemble Control Forecast, and 50 ENS ...

This chart shows probability information regarding dew point temperature 2 m above the ground derived from the ECMWF ensemble (ENS) at the validity time...

These charts are derived from the ECMWF ensemble forecast (ENS) system and show probability of 2 ...

These charts are derived from the ECMWF ensemble forecast (ENS) system. They show probability ...

This chart shows probability information regarding maximum temperature 2 m above the ground derived from the ECMWF ensemble (ENS) during the 6 hour period preceding the validity time...

This chart shows probability information regarding minimum temperature 2 m above the ground derived from the ECMWF ensemble (ENS) during the 6 hour period preceding the validity time...

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

These diagrams compare recent ECMWF verification scores for 500 hPa height with those of other ...

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.

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

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

This diagram gives a measure of the effectiveness of the model. The drop-down menu can ...

This diagram gives a measure of the effectiveness of the model. ...

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

This diagram gives a measure of the effectiveness of the model. ...

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

This diagram shows the variation of Relative Operating Characteristics (ROC) scores with various ...

These charts aim to point towards areas where anomalous weather is likely to occur. ...

This chart shows 7-day mean anomalies for a range of parameters from the ECMWF Sub-seasonal ...

The nextGEMS data is aligned with the Climate Change Adaptation Digital Twin. The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities by providing innovative climate information on multi-decadal timescales, globally, at scales at which many impacts of climate change are observed.

The nextGEMS data is aligned with the Climate Change Adaptation Digital Twin. The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities by providing innovative climate information on multi-decadal timescales, globally, at scales at which many impacts of climate change are observed.

This chart provides a range of skill scores relating to forecasts of the evolution of the sea ...