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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: 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: 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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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

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

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

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

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

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

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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...

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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...

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

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

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

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

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

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

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

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

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

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

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

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

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

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*From the 1st Jan 2023, all Nino plots are based on the use of ERA5 SST instead of NCEP ...*

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