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
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/29266
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:22:00Zoai: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:34982025-09-29 10:22:01.182CONICET 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 |
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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 |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
American Geophysical Union |
| publisher.none.fl_str_mv |
American Geophysical Union |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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