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2m Temperature: Weekly mean anomalies

Base Time: Mon 16 May 2022 00 UTC T+168 Valid time: Mon 16 May 2022 00 UTC - Mon 23 May 2022 00 UTC

Weekly mean anomalies have been calculated relative to a 20-year model climatology.  The areas where the ensemble forecast is not significantly different from the climatology, according to a WMW-test, are blanked.

Note that shaded areas are at 10%, contours are at 1% significant level.

For further details of Extended range output and products, please visit ECMWF Forecast User Guide.

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SCIENCE BLOG

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Science blog

Read our blog for a scientist’s perspective on different areas of ECMWF’s work. Recent posts cover the use of satellite data in weather forecasting and our involvement in European projects to develop global storm-resolving Earth system models and to help prepare the weather and climate community for large-scale machine learning applications.

3 May 2022

NEWS

TAMIR workshop May 2022 group photo

ECMWF’s flood team to use results of TAMIR project

An ECMWF delegation has taken part in the final workshop of the EU-funded TAMIR project on tools for the management of floods. They expect to build the outcomes of the project into the EU’s Copernicus Emergency Management Service, to which they contribute.

16 May 2022
NEWS
IN FOCUS

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ECMWF at the EGU General Assembly 2022

Find out when ECMWF staff are speaking at the General Assembly of the European Geosciences Union (EGU), being held 23–27 May 2022 both in Vienna (Austria) and online.

19 May 2022

Forecast charts and data

We provide current forecasts, climate reanalyses and specific datasets. These are available via the web, point-to-point dissemination, data servers and broadcasting.

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25 January 2022

Even more #OpenData now available!
Data released today are based on a range of our high-resolution and ensemble forecasts, and can be accessed through our https service and via the @Microsoft @Azure cloud.

More details from ECMWF makes wide range of data openly available

 

 

 

Datasets

Forecasts, analyses, climate re-analyses, reforecasts and multi-model data are available from our archive (MARS) or via dedicated data servers or via point-to-point dissemination.

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Researchers, WMO members, commercial users and satellite data providers can gain access to ECMWF forecast products under one of our various license agreement types.

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Serving meteorology

International collaboration is fundamental to the work of ECMWF, working with the EU and the meteorological community at large, including the World Meteorological Organization, space agencies, and scientists around the world.