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HadEX3-ETSCI: Gridded land surface extremes indices for sector specific applications

The dataset contains land-based climate extremes produced through the coordination of the joint WMO Expert Team on Sector-specific Climate Indices (ET-SCI). It comprises indices of temperature and precipitation on a 1.25° x 1.875° grid from 1901 to 2018. The indices represent seasonal and/or annual values derived from daily station data. Data are calculated using the Climpact2 software, or have been submitted to the project as pre-calculated indices. This is an extension to the HadEX3 dataset which comprises indices from the Expert Team for Climate Change Detection and Indices (ETCCDI).


Brief description of the data

Data have been supplied either as calculated ET-SCI indices or as timeseries of Tmax, Tmin and daily precipitation accumulations for each station. These data have been standardised, and for each index, the stations with sufficient data and coverage selected for inclusion in the dataset. A number of quality control checks are applied to test for reasonable values, for issues in the metadata and for duplicate stations (which may have been submitted via two different input data collections). We use the Angular Distance Weighting gridding method, which combines weighted averages of stations within a decorrelation length scale of a grid box centre. Final output netCDF files are produced, containing the annual, and where appropriate, monthly gridded fields.

We automatically produce a number of plots and diagnostics as part of the creation scripts, and these are also available here. However, as these have been created automatically, not all have been checked and so e.g. colour-scales may not be the most appropriate.

The current version is 3.0.4 (17 March 2024). For full details see the Changelog.

HadEX3-ETSCI is also available at CEDA Archive (Centres for Environmental Data Analysis): HadEX3-ETSCI at CEDA.

Keep in touch

Follow us on twitter: @metofficeHadOBS for updates, news and announcements.

For more detailed information, follow our HadEX blog. Here we describe bug fixes, routine updates and other exploratory analysis.

Please get in touch if you have any feedback on the data files or plots.


Figure shows the linear trend in TXge30 HadEX3 over 1970-2018 (annual).

HadEX3-ETSCI TXge30 linear trend

Go to download page Data are available from the download page without charge under the Open Government License. Please read the terms and conditions.

References

When using the dataset in a paper, the following are possible citations to use.

Dunn, R. J. H., et al. (2024), Observed global changes in sector-relevant climate extremes indices - an extension to HadEX3 ESS

Dunn, R. J. H., et al. (2020), Development of an updated global land in-situ-based dataset of temperature and precipitation extremes: HadEX3 JGR-A

Dunn, R. J. H., Donat, M. G., Alexander, L. V., al. (2014), Investigating uncertainties in global gridded datasets of climate extremes, Climate of the Past, 10, 2171-2199


Product User Guide

An introduction to the data set is available as a pdf, which includes a "quick start" guide as well as more in depth material.


Commercial and media enquiries

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Dataset produced in collaboration with:

Met
    Office University of New South Wales NOAA-NCDC Pacific Climate Impacts Consortium Environment Canada WCRP