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Near-term Gridded Climate Data

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Gridded physical climate hazard information is available in a standard ASCII format that span the mainland area their respective country. In each case the grid cell size is 5km, where the central coordinates of the bottom-left grid cell are provided for the southwesterly most data point. Northing (YLLCENTER) and Easting (XLLCENTER) local coordinate systems are used (see Climate Data Outputs) where +5000 units in the X, Y coordinate system relates to 5000 metres.

Note. Coordinates outside of the country’s mainland are, or its boundaries, or oceanic/ lake/ water courses should all be treated as invalid. In the case of the United Kingdom this is flagged as ‘-9999’, whereas for Spain and Turkey a country land mask has not been applied.

Median values of the seasonal forecasts for summer 2022 are provided below in ASCII format. Town and city data are also provided based on the same datasets.


QGIS seasonal climate forecast assessment tool (forecast departure colour scales)

The QGIS project provides a way to visualise gridded climate data free-of-charge. Its “Raster Calculator” tool enables comparisons between ASCII datasets.

To combine Weather Logistics’ statistical model (A) with numerical weather predictions from Copernicus (B), we use equal model weighting approach using the formula (A + B) / 2; while to compute differences we use (A - B) to report the model intercomparison between monthly mean temperature in degrees Celsius and (A / B) * 100 to compute a precipitation model ratio intercomparison as a percentage of the Copernicus monthly total precipitation.


United Kingdom Seasonal Climate Forecast Hazard Data

Summer 2022 United Kingdom precipitation departure maps for June and July as a percentage (%) of the 1962 to 2016 climatology reference, where 100% = average conditions. Images here show the median (50th) confidence interval of ensemble members, with an equal likelihood of precipitation above or below those reported
Maximum temperature forecast for July 2022, showing the confidence interval in the prediction compared to official weather station measurements for the same month