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External Data Spec

HadEX2 - global climate extremes dataset

External Data Spec Published 23 Jun 2015
HadEX2 is a global land-based climate extremes dataset produced through the coordination of the joint WMO CCl/CLIVAR/JCOMM Expert Team on Climate Change Detection and Indices (ETCCDI) . It comprises of 27 indices of temperature and precipitation on a 2.5° x 3.75° grid from 1901 to 2010. The indices represent seasonal and/or annual values derived from daily station data. Data are calculated using RClimDex/FClimDex software; developed and maintained on behalf of the ETCCDI by the Climate Research Branch of the Meteorological Service of Canada.
information.png Provider:
http://www.meto.gov.uk/sec5/sec5pg1.html
information.png Dataset URL:
http://www.metoffice.gov.uk/hadobs/hadex2/

Related content

Produced figures

Figure Observed trends in warm days across Europe between 1960 and 2016 How to read the map: Warm days are defined as being above the 90th percentile of the daily maximum temperature. Grid boxes outlined in solid black contain at least three stations and so are likely to be more representative of the grid box. A significant (at the 5 % level) long-term trend is shown by a black dot
Figure Observed trends in maximum annual five-day consecutive precipitation in winter and summer Grid boxes outlined in solid black contain at least three stations and so are likely to be more representative of the grid box. Significant (at the 5% level) long-term trend is shown by a black dot.
Figure Observed trends in warm days across Europe between 1960 and 2015 How to read the map: Warm days are defined as being above the 90th percentile of the daily maximum temperature. Grid boxes outlined in solid black contain at least three stations and so are likely to be more representative of the grid box. A significant (at the 5 % level) long-term trend is shown by a black dot
Figure
Archived
Trends in warm days across Europe How to read the map: Warm days are defined as being above the 90th percentile of the daily maximum temperature. Grid boxes outlined in solid black contain at least 3 stations and so are likely to be more representative of the grid-box. Higher confidence in the long-term trend is shown by a black dot.
Figure Trends in cool nights across Europe How to read the map: Cool nights are defined as being below the 10th percentile of the daily minimum temperature. Grid boxes outlined in solid black contain at least 3 stations and so are likely to be more representative of the grid-box. Higher confidence in the long-term trend is shown by a black dot.
Figure
Archived
Trends in annual temperature across Europe How to read the map: Grid boxes outlined in solid black contain at least three stations and so are likely to be more representative of the grid box. High confidence in the long-term trend is shown by a black dot. (In the map above, this is the case for all grid boxes.)
Figure
Draft
Trends in cool nights across Europe between 1961 and 2015 How to read the map: Cool nights are defined as being below the 10th percentile of the daily minimum temperature for a given calendar day. Grid boxes outlined in solid black contain at least 3 stations and so are likely to be more representative of the grid-box. High confidence in the long-term trend is shown by a black dot.

Permalinks

For references, please go to https://www.eea.europa.eu/data-and-maps/data/external/hadex-global-climate-extremes-indices or scan the QR code.

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