Dew Point Temperature at 2 m above the earth’s surface gives an indication of conditions which a person will experience or feel. High dewpoint temperatures inhibit heat loss from the body by perspriation and...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Temperatures at 2 m above the earth’s surface and winds at 10 m above the earth’s surface approximate most closely to the conditions that a person would experience.

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Air temperatures at 2 m above the earth's surface approximate most closely to the conditions a person would most likely experience...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

This chart shows the anomaly in the temperature at 2 m above the earth’s surface (in °C) during a 24 hour period immediately preceding the chosen valid date/time...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

This chart shows probabilities for the 7-day mean anomalies of 2 m air temperature to be in ...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

This chart shows probabilities that 7-day mean 2 m air temperatures (from the 101 forecast ...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

This chart shows 7-day mean anomalies of 2m air temperature from the ECMWF Sub-seasonal range ...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

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

calendar_today Interval/period: N/A

open_in_newview in Open Charts

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

calendar_today Interval/period: N/A

open_in_newview in Open Charts

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

calendar_today Interval/period: N/A

open_in_newview in Open Charts

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

calendar_today Interval/period: N/A

open_in_newview in Open Charts

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

calendar_today Interval/period: N/A

open_in_newview in Open Charts

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

calendar_today Interval/period: N/A

open_in_newview in Open Charts

The 850 hPa level is usually just above the boundary layer and at this level the day-night variation in temperature is generally negligible...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

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

calendar_today Interval/period: N/A

open_in_newview in Open Charts

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

calendar_today Interval/period: N/A

open_in_newview in Open Charts

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

calendar_today Interval/period: N/A

open_in_newview in Open Charts

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

calendar_today Interval/period: N/A

open_in_newview in Open Charts

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

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Detailed information on these EXPERIMENTAL products can be found

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Detailed information on these EXPERIMENTAL products can be found

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Various thermall comfort parameters showing thermal comfort

calendar_today Interval/period: N/A

open_in_newview in Open Charts

This diagram gives a measure of the effectiveness of the model by showing how far ahead in the ...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

ECMWF is now running a series of data-driven forecasts as part of its experimental suite. These machine-learning based models are very fast, and they produce a 10-day forecast with 6-hourly time steps in approximately one minute. The outputs are available in graphical form.

Currently, three of these models are available:

calendar_today Interval/period: N/A

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

calendar_today Interval/period: N/A

open_in_newview in Open Charts