Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset

Autores
Donat, M. G.; Alexander, L. V.; Yang, H.; Durre, I.; Vose, R.; Dunn, R. J. H.; Willet, K. M.; Aguilar, E.; Brunet, M.; Caesar, J.; Hewitson, B.; Jack, C.; Klein Tank, A. M. G.; Kruger, A. C.; Marengo, José A.; Peterson, T. C.; Renom, Madeleine; Oria Rojas, C.; Rusticucci, Matilde Monica; Salinger, J.; Elrayah, A. S.; Sekele, S. S.; Srivastava, A. K.; Trewin, B.; Villarroel, C.; Vincent, L. A.; Zhai, P.; Zhang, X.; Kitching, S.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this study, we present the collation and analysis of the gridded land-based dataset of indices of temperature and precipitation extremes: HadEX2. Indices were calculated based on station data using a consistent approach recommended by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices, resulting in the production of 17 temperature and 12 precipitation indices derived from daily maximum and minimum temperature and precipitation observations. High-quality in situ observations from over 7000 temperature and 11,000 precipitation meteorological stations across the globe were obtained to calculate the indices over the period of record available for each station. Monthly and annual indices were then interpolated onto a 3.75° × 2.5° longitude-latitude grid over the period 1901–2010. Linear trends in the gridded fields were computed and tested for statistical significance. Overall there was very good agreement with the previous HadEX dataset during the overlapping data period. Results showed widespread significant changes in temperature extremes consistent with warming, especially for those indices derived from daily minimum temperature over the whole 110 years of record but with stronger trends in more recent decades. Seasonal results showed significant warming in all seasons but more so in the colder months. Precipitation indices also showed widespread and significant trends, but the changes were much more spatially heterogeneous compared with temperature changes. However, results indicated more areas with significant increasing trends in extreme precipitation amounts, intensity, and frequency than areas with decreasing trends.
Fil: Donat, M. G.. University of New South Wales; Australia
Fil: Alexander, L. V.. University of New South Wales; Australia
Fil: Yang, H.. University of New South Wales; Australia
Fil: Durre, I.. National Oceanic and Atmospheric Administration; Estados Unidos
Fil: Vose, R.. National Oceanic and Atmospheric Administration; Estados Unidos
Fil: Dunn, R. J. H.. Hadley Centre; Reino Unido
Fil: Willet, K. M.. Hadley Centre; Reino Unido
Fil: Aguilar, E.. Universitat Rovira I Virgili; España
Fil: Brunet, M.. Universitat Rovira I Virgili; España
Fil: Caesar, J.. Hadley Centre; Reino Unido
Fil: Hewitson, B.. University of Cape Town; Sudáfrica
Fil: Jack, C.. University of Cape Town; Sudáfrica
Fil: Klein Tank, A. M. G.. Royal Netherlands Meteorological Institute; Países Bajos
Fil: Kruger, A. C.. South African Weather Service; Sudáfrica
Fil: Marengo, José A.. Centro de Previsao de Tempo e Estudos Climáticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Peterson, T. C.. National Oceanic and Atmospheric Administration; Estados Unidos
Fil: Renom, Madeleine. Universidad de la República; Uruguay
Fil: Oria Rojas, C.. Servicio Nacional de Meteorología e Hidrología; Perú
Fil: Rusticucci, Matilde Monica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Salinger, J.. University of Stanford; Estados Unidos
Fil: Elrayah, A. S.. Sudan Meteorological Authority; Sudán
Fil: Sekele, S. S.. South African Weather Service; Sudáfrica
Fil: Srivastava, A. K.. India Meteorological Department; India
Fil: Trewin, B.. Bureau of Meteorology; Australia
Fil: Villarroel, C.. Direccion Meteorologica; Chile
Fil: Vincent, L. A.. Climate Research Division; Canadá
Fil: Zhai, P.. Chinese Academy of Sciences; República de China
Fil: Zhang, X.. Climate Research Division; Canadá
Fil: Kitching, S.. University of New South Wales; Australia. University of East Anglia; Reino Unido
Materia
Climate Extremes
Global Gridded Dataset
Temperature
Precipitation
Observations
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/29266

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oai_identifier_str oai:ri.conicet.gov.ar:11336/29266
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 datasetDonat, M. G.Alexander, L. V.Yang, H.Durre, I.Vose, R.Dunn, R. J. H.Willet, K. M.Aguilar, E.Brunet, M.Caesar, J.Hewitson, B.Jack, C.Klein Tank, A. M. G.Kruger, A. C.Marengo, José A.Peterson, T. C.Renom, MadeleineOria Rojas, C.Rusticucci, Matilde MonicaSalinger, J.Elrayah, A. S.Sekele, S. S.Srivastava, A. K.Trewin, B.Villarroel, C.Vincent, L. A.Zhai, P.Zhang, X.Kitching, S.Climate ExtremesGlobal Gridded DatasetTemperaturePrecipitationObservationshttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1In this study, we present the collation and analysis of the gridded land-based dataset of indices of temperature and precipitation extremes: HadEX2. Indices were calculated based on station data using a consistent approach recommended by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices, resulting in the production of 17 temperature and 12 precipitation indices derived from daily maximum and minimum temperature and precipitation observations. High-quality in situ observations from over 7000 temperature and 11,000 precipitation meteorological stations across the globe were obtained to calculate the indices over the period of record available for each station. Monthly and annual indices were then interpolated onto a 3.75° × 2.5° longitude-latitude grid over the period 1901–2010. Linear trends in the gridded fields were computed and tested for statistical significance. Overall there was very good agreement with the previous HadEX dataset during the overlapping data period. Results showed widespread significant changes in temperature extremes consistent with warming, especially for those indices derived from daily minimum temperature over the whole 110 years of record but with stronger trends in more recent decades. Seasonal results showed significant warming in all seasons but more so in the colder months. Precipitation indices also showed widespread and significant trends, but the changes were much more spatially heterogeneous compared with temperature changes. However, results indicated more areas with significant increasing trends in extreme precipitation amounts, intensity, and frequency than areas with decreasing trends.Fil: Donat, M. G.. University of New South Wales; AustraliaFil: Alexander, L. V.. University of New South Wales; AustraliaFil: Yang, H.. University of New South Wales; AustraliaFil: Durre, I.. National Oceanic and Atmospheric Administration; Estados UnidosFil: Vose, R.. National Oceanic and Atmospheric Administration; Estados UnidosFil: Dunn, R. J. H.. Hadley Centre; Reino UnidoFil: Willet, K. M.. Hadley Centre; Reino UnidoFil: Aguilar, E.. Universitat Rovira I Virgili; EspañaFil: Brunet, M.. Universitat Rovira I Virgili; EspañaFil: Caesar, J.. Hadley Centre; Reino UnidoFil: Hewitson, B.. University of Cape Town; SudáfricaFil: Jack, C.. University of Cape Town; SudáfricaFil: Klein Tank, A. M. G.. Royal Netherlands Meteorological Institute; Países BajosFil: Kruger, A. C.. South African Weather Service; SudáfricaFil: Marengo, José A.. Centro de Previsao de Tempo e Estudos Climáticos. Instituto Nacional de Pesquisas Espaciais; BrasilFil: Peterson, T. C.. National Oceanic and Atmospheric Administration; Estados UnidosFil: Renom, Madeleine. Universidad de la República; UruguayFil: Oria Rojas, C.. Servicio Nacional de Meteorología e Hidrología; PerúFil: Rusticucci, Matilde Monica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Salinger, J.. University of Stanford; Estados UnidosFil: Elrayah, A. S.. Sudan Meteorological Authority; SudánFil: Sekele, S. S.. South African Weather Service; SudáfricaFil: Srivastava, A. K.. India Meteorological Department; IndiaFil: Trewin, B.. Bureau of Meteorology; AustraliaFil: Villarroel, C.. Direccion Meteorologica; ChileFil: Vincent, L. A.. Climate Research Division; CanadáFil: Zhai, P.. Chinese Academy of Sciences; República de ChinaFil: Zhang, X.. Climate Research Division; CanadáFil: Kitching, S.. University of New South Wales; Australia. University of East Anglia; Reino UnidoAmerican Geophysical Union2013-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/29266Donat, M. G.; Alexander, L. V.; Yang, H.; Durre, I.; Vose, R.; et al.; Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset; American Geophysical Union; Journal Of Geophysical Research; 118; 5; 1-2013; 2098-21180148-0227enginfo:eu-repo/semantics/altIdentifier/doi/10.1002/jgrd.50150info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/jgrd.50150/abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:03:57Zoai:ri.conicet.gov.ar:11336/29266instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:03:58.121CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset
title Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset
spellingShingle Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset
Donat, M. G.
Climate Extremes
Global Gridded Dataset
Temperature
Precipitation
Observations
title_short Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset
title_full Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset
title_fullStr Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset
title_full_unstemmed Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset
title_sort Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset
dc.creator.none.fl_str_mv Donat, M. G.
Alexander, L. V.
Yang, H.
Durre, I.
Vose, R.
Dunn, R. J. H.
Willet, K. M.
Aguilar, E.
Brunet, M.
Caesar, J.
Hewitson, B.
Jack, C.
Klein Tank, A. M. G.
Kruger, A. C.
Marengo, José A.
Peterson, T. C.
Renom, Madeleine
Oria Rojas, C.
Rusticucci, Matilde Monica
Salinger, J.
Elrayah, A. S.
Sekele, S. S.
Srivastava, A. K.
Trewin, B.
Villarroel, C.
Vincent, L. A.
Zhai, P.
Zhang, X.
Kitching, S.
author Donat, M. G.
author_facet Donat, M. G.
Alexander, L. V.
Yang, H.
Durre, I.
Vose, R.
Dunn, R. J. H.
Willet, K. M.
Aguilar, E.
Brunet, M.
Caesar, J.
Hewitson, B.
Jack, C.
Klein Tank, A. M. G.
Kruger, A. C.
Marengo, José A.
Peterson, T. C.
Renom, Madeleine
Oria Rojas, C.
Rusticucci, Matilde Monica
Salinger, J.
Elrayah, A. S.
Sekele, S. S.
Srivastava, A. K.
Trewin, B.
Villarroel, C.
Vincent, L. A.
Zhai, P.
Zhang, X.
Kitching, S.
author_role author
author2 Alexander, L. V.
Yang, H.
Durre, I.
Vose, R.
Dunn, R. J. H.
Willet, K. M.
Aguilar, E.
Brunet, M.
Caesar, J.
Hewitson, B.
Jack, C.
Klein Tank, A. M. G.
Kruger, A. C.
Marengo, José A.
Peterson, T. C.
Renom, Madeleine
Oria Rojas, C.
Rusticucci, Matilde Monica
Salinger, J.
Elrayah, A. S.
Sekele, S. S.
Srivastava, A. K.
Trewin, B.
Villarroel, C.
Vincent, L. A.
Zhai, P.
Zhang, X.
Kitching, S.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Climate Extremes
Global Gridded Dataset
Temperature
Precipitation
Observations
topic Climate Extremes
Global Gridded Dataset
Temperature
Precipitation
Observations
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this study, we present the collation and analysis of the gridded land-based dataset of indices of temperature and precipitation extremes: HadEX2. Indices were calculated based on station data using a consistent approach recommended by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices, resulting in the production of 17 temperature and 12 precipitation indices derived from daily maximum and minimum temperature and precipitation observations. High-quality in situ observations from over 7000 temperature and 11,000 precipitation meteorological stations across the globe were obtained to calculate the indices over the period of record available for each station. Monthly and annual indices were then interpolated onto a 3.75° × 2.5° longitude-latitude grid over the period 1901–2010. Linear trends in the gridded fields were computed and tested for statistical significance. Overall there was very good agreement with the previous HadEX dataset during the overlapping data period. Results showed widespread significant changes in temperature extremes consistent with warming, especially for those indices derived from daily minimum temperature over the whole 110 years of record but with stronger trends in more recent decades. Seasonal results showed significant warming in all seasons but more so in the colder months. Precipitation indices also showed widespread and significant trends, but the changes were much more spatially heterogeneous compared with temperature changes. However, results indicated more areas with significant increasing trends in extreme precipitation amounts, intensity, and frequency than areas with decreasing trends.
Fil: Donat, M. G.. University of New South Wales; Australia
Fil: Alexander, L. V.. University of New South Wales; Australia
Fil: Yang, H.. University of New South Wales; Australia
Fil: Durre, I.. National Oceanic and Atmospheric Administration; Estados Unidos
Fil: Vose, R.. National Oceanic and Atmospheric Administration; Estados Unidos
Fil: Dunn, R. J. H.. Hadley Centre; Reino Unido
Fil: Willet, K. M.. Hadley Centre; Reino Unido
Fil: Aguilar, E.. Universitat Rovira I Virgili; España
Fil: Brunet, M.. Universitat Rovira I Virgili; España
Fil: Caesar, J.. Hadley Centre; Reino Unido
Fil: Hewitson, B.. University of Cape Town; Sudáfrica
Fil: Jack, C.. University of Cape Town; Sudáfrica
Fil: Klein Tank, A. M. G.. Royal Netherlands Meteorological Institute; Países Bajos
Fil: Kruger, A. C.. South African Weather Service; Sudáfrica
Fil: Marengo, José A.. Centro de Previsao de Tempo e Estudos Climáticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Peterson, T. C.. National Oceanic and Atmospheric Administration; Estados Unidos
Fil: Renom, Madeleine. Universidad de la República; Uruguay
Fil: Oria Rojas, C.. Servicio Nacional de Meteorología e Hidrología; Perú
Fil: Rusticucci, Matilde Monica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Salinger, J.. University of Stanford; Estados Unidos
Fil: Elrayah, A. S.. Sudan Meteorological Authority; Sudán
Fil: Sekele, S. S.. South African Weather Service; Sudáfrica
Fil: Srivastava, A. K.. India Meteorological Department; India
Fil: Trewin, B.. Bureau of Meteorology; Australia
Fil: Villarroel, C.. Direccion Meteorologica; Chile
Fil: Vincent, L. A.. Climate Research Division; Canadá
Fil: Zhai, P.. Chinese Academy of Sciences; República de China
Fil: Zhang, X.. Climate Research Division; Canadá
Fil: Kitching, S.. University of New South Wales; Australia. University of East Anglia; Reino Unido
description In this study, we present the collation and analysis of the gridded land-based dataset of indices of temperature and precipitation extremes: HadEX2. Indices were calculated based on station data using a consistent approach recommended by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices, resulting in the production of 17 temperature and 12 precipitation indices derived from daily maximum and minimum temperature and precipitation observations. High-quality in situ observations from over 7000 temperature and 11,000 precipitation meteorological stations across the globe were obtained to calculate the indices over the period of record available for each station. Monthly and annual indices were then interpolated onto a 3.75° × 2.5° longitude-latitude grid over the period 1901–2010. Linear trends in the gridded fields were computed and tested for statistical significance. Overall there was very good agreement with the previous HadEX dataset during the overlapping data period. Results showed widespread significant changes in temperature extremes consistent with warming, especially for those indices derived from daily minimum temperature over the whole 110 years of record but with stronger trends in more recent decades. Seasonal results showed significant warming in all seasons but more so in the colder months. Precipitation indices also showed widespread and significant trends, but the changes were much more spatially heterogeneous compared with temperature changes. However, results indicated more areas with significant increasing trends in extreme precipitation amounts, intensity, and frequency than areas with decreasing trends.
publishDate 2013
dc.date.none.fl_str_mv 2013-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/29266
Donat, M. G.; Alexander, L. V.; Yang, H.; Durre, I.; Vose, R.; et al.; Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset; American Geophysical Union; Journal Of Geophysical Research; 118; 5; 1-2013; 2098-2118
0148-0227
url http://hdl.handle.net/11336/29266
identifier_str_mv Donat, M. G.; Alexander, L. V.; Yang, H.; Durre, I.; Vose, R.; et al.; Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset; American Geophysical Union; Journal Of Geophysical Research; 118; 5; 1-2013; 2098-2118
0148-0227
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1002/jgrd.50150
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/jgrd.50150/abstract
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Geophysical Union
publisher.none.fl_str_mv American Geophysical Union
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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