Observed Global Changes in Sector‐Relevant Climate Extremes Indices—An Extension to HadEX3

Author:

Dunn Robert J. H.1ORCID,Herold Nicholas2ORCID,Alexander Lisa V.34ORCID,Donat Markus G.56ORCID,Allan Rob7ORCID,Bador Margot8ORCID,Brunet Manola9,Cheng Vincent10ORCID,Ibadullah Wan Maisarah Wan11,Ibrahim Muhammad Khairul Izzat Bin12ORCID,Kruger Andries1314,Kubota Hisayuki15ORCID,Lippmann Tanya J. R.16ORCID,Marengo Jose17ORCID,Mbatha Sifiso13,McGree Simon18ORCID,Ngwenya Sandile13,Pabon Caicedo Jose Daniel19ORCID,Ramos Andrea2021,Salinger Jim22,van der Schrier Gerard23,Srivastava Arvind24,Trewin Blair18ORCID,Yáñez Ricardo Vásquez25ORCID,Vazquez‐Aguirre Jorge26ORCID,Jiménez Claudia Villaroel25,Vose Russ27ORCID,Yussof Mohd Noor’Arifin Bin Hj12ORCID,Zhang Xuebin28

Affiliation:

1. Met Office Hadley Centre Exeter UK

2. Applied Climate Science Ptd Ltd. Adelaide SA Australia

3. Climate Change Research Centre UNSW Sydney Kensington NSW Australia

4. ARC Centre of Excellence for Climate Extremes UNSW Sydney Kensington NSW Australia

5. Barcelona Supercomputing Center Barcelona Spain

6. Catalan Institution for Research and Advanced Studies (ICREA) Barcelona Spain

7. Centre for Maritime Historical Studies University of Exeter Exeter UK

8. CECI Université de Toulouse CERFACS/CNRS Toulouse France

9. Department of Geography Centre for Climate Change University Rovira I Virgili Tarragona Spain

10. Climate Research Division Environment and Climate Change Canada Toronto ON Canada

11. Malaysian Meteorological Department Kuala Lumpur Malaysia

12. Brunei Darussalam Meteorological Department Ministry of Transport and Infocommunications Brunei Brunei Darussalam

13. Climate Service South African Weather Service Pretoria South Africa

14. Department of Geography, Geoinformatics and Meteorology Faculty of Natural and Agricultural Sciences University of Pretoria Pretoria South Africa

15. Department of Earth and Planetary Sciences Hokkaido University Sapporo Japan

16. Department of Earth Sciences Vrije Universiteit Amsterdam Amsterdam The Netherlands

17. National Center for Monitoring and Early Warning of Natural Disasters CEMADEN Sao Paulo Brazil

18. The Bureau of Meteorology Melbourne VIC Australia

19. Departamento de Geografía Universidad Nacional de Colombia Bogotá Colombia

20. Instituto Nacional de Meteorologia—INMET Brasília Brazil

21. Fundação de Desenvolvimento Científico e Cultural Lavras Brazil

22. School of Geography, Environmental and Earth Sciences Victoria University of Wellington Wellington New Zealand

23. Royal Netherlands Meteorological Institute De Bilt The Netherlands

24. Climate Research and Services IMD Pune Pune India

25. Dirección Meteorológica de Chile Santiago Chile

26. WMO Expert Team on Climate Information for Decision‐Making (ET‐CID) Xalapa Mexico

27. NOAA/NCEI Asheville NC USA

28. Pacific Climate Impacts Consortium University of Victoria Victoria BC Canada

Abstract

AbstractGlobal gridded data sets of observed extremes indices underpin assessments of changes in climate extremes. However, similar efforts to enable the assessment of indices relevant to different sectors of society have been missing. Here we present a data set of sector‐specific indices, based on daily station data, that extends the HadEX3 data set of climate extremes indices. These additional indices, which can be used singly or in combinations, have been recommended by the World Meteorological Organization and are intended to empower decision makers in different sectors with accurate historical information about how sector‐relevant measures of the climate are changing, especially in regions where in situ daily temperature and rainfall data are hard to come by. The annual and/or monthly indices have been interpolated on to a 1.875° × 1.25° longitude‐latitude grid for 1901–2018. We show changes in globally‐averaged time series of these indices in comparison with reanalysis products. Changes in temperature‐based indices are consistent with global scale warming, with days with Tmax > 30°C (TXge30) increasing virtually everywhere with potential impacts on crop fertility. At the other end of the scale, the number of days with Tmin < −2°C (TNltm2) are reducing, decreasing potential damage from frosts. Changes in heat wave characteristics show increases in the number, duration and intensity of these extreme events in most places. The gridded netCDF files and, where possible, the underlying station indices are available from https://www.metoffice.gov.uk/hadobs/hadex3 and https://www.climdex.org.

Publisher

American Geophysical Union (AGU)

Reference75 articles.

1. Alexander L. V. &Herold N.(2015).Climpactv2 indices and software. A document prepared on behalf of the commission for climatology (CCL) expert team on sector‐specific climate indices (ET‐SCI).

2. Global observed changes in daily climate extremes of temperature and precipitation

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