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Development of an updated global land in situ‐based data set of temperature and precipitation extremes: HadEX3

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hdl:2117/328414

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Dunn, Rober J. H.
Alexander, Lisa V.
Donat, MarkusMés informació
Zhang, Xuebin
Bador, Margot
Herold, Nicholas
Lippmann, Tanya
Allan, Rob
Aguilar, Enric
Barry, Abdoul Aziz
Brunet, Manola
Caesar, John
Chagnaud, Guillaume
Cheng, Vincent
Cinco, Thelma
Durre, Imke
Guzman, Rosaline, de
Htay, Tin Mar
Wan Ibadullah, Wan Maisarah
Ibrahim, Muhammad Khairul Izzat Bin
Khoshkam, Mahbobeh
Kruger, Andries
Kubota, Hisayuki
Leng, Tan Wee
Lim, Gerald
Li‐Sha, Lim
Marengo, Jose
Mbatha, Sifiso
McGree, Simon
Menne, Matthew
Skansi, Maria de los Milagros
Ngwenya, Sandile
Nkrumah, Francis
Oonariya, Chalump
Pabon‐Caicedo, Jose Daniel
Panthou, Gérémy
Pham, Cham
Rahimzadeh, Fatemeh
Ramos, Andrea
Salgado, Ernesto
Salinger, Jim
Sané, Youssouph
Sopaheluwakan, Ardhasena
Srivastava, Arvind
Sun, Ying
Timbal, Bertrand
Trachow, Nichanun
Trewin, Blair
Schrier, Gerard, van der
Vazquez‐Aguirre, Jorge
Vasquez, Ricardo
Villarroel, Claudia
Vincent, Lucie
Vischel, Theo
Vose, Russ
Yussof, Mohd Noor'Arifin Bin Hj
Document typeArticle
Defense date2020-07
PublisherWiley
Rights accessOpen Access
Attribution-NonCommercial 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial 3.0 Spain
Abstract
We present the second update to a data set of gridded land‐based temperature and precipitation extremes indices: HadEX3. This consists of 17 temperature and 12 precipitation indices derived from daily, in situ observations and recommended by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). These indices have been calculated at around 7,000 locations for temperature and 17,000 for precipitation. The annual (and monthly) indices have been interpolated on a 1.875°×1.25° longitude‐latitude grid, covering 1901–2018. We show changes in these indices by examining ”global”‐average time series in comparison with previous observational data sets and also estimating the uncertainty resulting from the nonuniform distribution of meteorological stations. Both the short and long time scale behavior of HadEX3 agrees well with existing products. Changes in the temperature indices are widespread and consistent with global‐scale warming. The extremes related to daily minimum temperatures are changing faster than the maximum. Spatial changes in the linear trends of precipitation indices over 1950–2018 are less spatially coherent than those for temperature indices. Globally, there are more heavy precipitation events that are also more intense and contribute a greater fraction to the total. Some of the indices use a reference period for calculating exceedance thresholds. We present a comparison between using 1961–1990 and 1981–2010. The differences between the time series of the temperature indices observed over longer time scales are shown to be the result of the interaction of the reference period with a warming climate. The gridded netCDF files and, where possible, underlying station indices are available from www.metoffice.gov.uk/hadobs/hadex3 and www.climdex.org.
CitationDunn, R.J.H. [et al.]. Development of an updated global land in situ‐based data set of temperature and precipitation extremes: HadEX3. "Journal of Geophysical Research: Atmospheres", Juliol 2020, vol. 125, núm. 16, e2019JD032263. 
URIhttp://hdl.handle.net/2117/328414
DOI10.1029/2019JD032263
ISSN2169-8996
Publisher versionhttps://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019JD032263
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