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.; Willett, K. M.; Aguilar, E.; Brunet, M.; Caesar, J.; Hewitson, B.; Jack, C.; Klein Tank, A. M. G.; Kruger, A. C.; Marengo, J.; Peterson, T. C.; Renom, M.; 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. Arc Centre Of Excellence For Climate System Science; Australia
Fil: Yang, H.. University of New South Wales; Australia
Fil: Durre, I.. NOAA National Climatic Data Center; Estados Unidos
Fil: Vose, R.. NOAA National Climatic Data Center; Estados Unidos
Fil: Dunn, R. J. H.. Hadley Centre; Reino Unido
Fil: Willett, K. M.. Hadley Centre; Reino Unido
Fil: Aguilar, E.. Universitat Rovira I Virgili; España
Fil: Brunet, M.. University of East Anglia; Reino Unido. 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, J.. Centro de Previsao de Tempo e Estudos Climáticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Peterson, T. C.. NOAA National Climatic Data Center; Estados Unidos
Fil: Renom, M.. Universidad de la República; Uruguay. Universidad de la Republica; Uruguay
Fil: Oria Rojas, C.. Servicio Nacional de Meteorología E Hidrología del Perú; Perú
Fil: Rusticucci, Matilde Monica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; 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; Australia
Fil: Villarroel, C.. Direccion Meteorologica de Chile; Chile
Fil: Vincent, L. A.. Environment Canada; Canadá
Fil: Zhai, P.. Chinese Academy Of Meteorological Sciences; China
Fil: Zhang, X.. Environment Canada; Canadá
Fil: Kitching, S.. Arc Centre Of Excellence For Climate System Science; Australia. University of Newcastle; Reino Unido - Materia
-
CLIMATE EXTREMES
GLOBAL GRIDDED DATASET
OBSERVATIONS
PRECIPITATION
TEMPERATURE - 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:11336/113274
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.Willett, K. M.Aguilar, E.Brunet, M.Caesar, J.Hewitson, B.Jack, C.Klein Tank, A. M. G.Kruger, A. C.Marengo, J.Peterson, T. C.Renom, M.Oria 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 DATASETOBSERVATIONSPRECIPITATIONTEMPERATUREhttps://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; Australia. Arc Centre Of Excellence For Climate System Science; AustraliaFil: Yang, H.. University of New South Wales; AustraliaFil: Durre, I.. NOAA National Climatic Data Center; Estados UnidosFil: Vose, R.. NOAA National Climatic Data Center; Estados UnidosFil: Dunn, R. J. H.. Hadley Centre; Reino UnidoFil: Willett, K. M.. Hadley Centre; Reino UnidoFil: Aguilar, E.. Universitat Rovira I Virgili; EspañaFil: Brunet, M.. University of East Anglia; Reino Unido. 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, J.. Centro de Previsao de Tempo e Estudos Climáticos. Instituto Nacional de Pesquisas Espaciais; BrasilFil: Peterson, T. C.. NOAA National Climatic Data Center; Estados UnidosFil: Renom, M.. Universidad de la República; Uruguay. Universidad de la Republica; UruguayFil: Oria Rojas, C.. Servicio Nacional de Meteorología E Hidrología del Perú; PerúFil: Rusticucci, Matilde Monica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; 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 Australia; AustraliaFil: Villarroel, C.. Direccion Meteorologica de Chile; ChileFil: Vincent, L. A.. Environment Canada; CanadáFil: Zhai, P.. Chinese Academy Of Meteorological Sciences; ChinaFil: Zhang, X.. Environment Canada; CanadáFil: Kitching, S.. Arc Centre Of Excellence For Climate System Science; Australia. University of Newcastle; Reino UnidoAmerican Geophysical Union2013-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/113274Donat, 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 Atmospheres; 118; 5; 3-2013; 2098-21180148-0227CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://agupubs.onlinelibrary.wiley.com/doi/10.1002/jgrd.50150info:eu-repo/semantics/altIdentifier/doi/10.1002/jgrd.50150info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:10:28Zoai:ri.conicet.gov.ar:11336/113274instacron: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 10:10:29.065CONICET 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 OBSERVATIONS PRECIPITATION TEMPERATURE |
| 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. Willett, K. M. Aguilar, E. Brunet, M. Caesar, J. Hewitson, B. Jack, C. Klein Tank, A. M. G. Kruger, A. C. Marengo, J. Peterson, T. C. Renom, M. 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. Willett, K. M. Aguilar, E. Brunet, M. Caesar, J. Hewitson, B. Jack, C. Klein Tank, A. M. G. Kruger, A. C. Marengo, J. Peterson, T. C. Renom, M. 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. Willett, K. M. Aguilar, E. Brunet, M. Caesar, J. Hewitson, B. Jack, C. Klein Tank, A. M. G. Kruger, A. C. Marengo, J. Peterson, T. C. Renom, M. 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 OBSERVATIONS PRECIPITATION TEMPERATURE |
| topic |
CLIMATE EXTREMES GLOBAL GRIDDED DATASET OBSERVATIONS PRECIPITATION TEMPERATURE |
| 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. Arc Centre Of Excellence For Climate System Science; Australia Fil: Yang, H.. University of New South Wales; Australia Fil: Durre, I.. NOAA National Climatic Data Center; Estados Unidos Fil: Vose, R.. NOAA National Climatic Data Center; Estados Unidos Fil: Dunn, R. J. H.. Hadley Centre; Reino Unido Fil: Willett, K. M.. Hadley Centre; Reino Unido Fil: Aguilar, E.. Universitat Rovira I Virgili; España Fil: Brunet, M.. University of East Anglia; Reino Unido. 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, J.. Centro de Previsao de Tempo e Estudos Climáticos. Instituto Nacional de Pesquisas Espaciais; Brasil Fil: Peterson, T. C.. NOAA National Climatic Data Center; Estados Unidos Fil: Renom, M.. Universidad de la República; Uruguay. Universidad de la Republica; Uruguay Fil: Oria Rojas, C.. Servicio Nacional de Meteorología E Hidrología del Perú; Perú Fil: Rusticucci, Matilde Monica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; 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; Australia Fil: Villarroel, C.. Direccion Meteorologica de Chile; Chile Fil: Vincent, L. A.. Environment Canada; Canadá Fil: Zhai, P.. Chinese Academy Of Meteorological Sciences; China Fil: Zhang, X.. Environment Canada; Canadá Fil: Kitching, S.. Arc Centre Of Excellence For Climate System Science; Australia. University of Newcastle; 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 |
2013-03 |
| 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/11336/113274 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 Atmospheres; 118; 5; 3-2013; 2098-2118 0148-0227 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/113274 |
| 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 Atmospheres; 118; 5; 3-2013; 2098-2118 0148-0227 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
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info:eu-repo/semantics/altIdentifier/url/https://agupubs.onlinelibrary.wiley.com/doi/10.1002/jgrd.50150 info:eu-repo/semantics/altIdentifier/doi/10.1002/jgrd.50150 |
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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 application/pdf |
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American Geophysical Union |
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American Geophysical Union |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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