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Assessment of the Global Relationship of Different Types of Droughts in Model Simulations Under High Anthropogenic Emissions
This study provides a global analysis of the relationship between drought metrics obtained from several climatic, hydrologic and ecological variables in a climate change framework using CMIP6 model data. A comprehensive analysis of the evolution of drought severity on a global scale is carried out f...
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Published in: | Earth's future 2024-04, Vol.12 (4), p.n/a |
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creator | Gimeno‐Sotelo, Luis El Kenawy, Ahmed Franquesa, Magí Noguera, Iván Fernández‐Duque, Beatriz Domínguez‐Castro, Fernando Peña‐Angulo, Dhais Reig, Fergus Sorí, Rogert Gimeno, Luis Nieto, Raquel Vicente‐Serrano, Sergio M. |
description | This study provides a global analysis of the relationship between drought metrics obtained from several climatic, hydrologic and ecological variables in a climate change framework using CMIP6 model data. A comprehensive analysis of the evolution of drought severity on a global scale is carried out for the historical experiment (1850–2014) and for future simulations under a high emissions scenario (SSP5‐8.5). This study focuses on comparing trends in the magnitude and duration of drought events according to different standardized indices over the world land‐surface area. The spatial and temporal relationship between the different drought indices on a global scale was also evaluated. Overall, there is a fairly large consensus among models and drought metrics in pointing to drought increase in southern North America, Central America, the Amazon region, the Mediterranean, southern Africa and southern Australia. Our results show important spatial differences in drought projections, which are highly dependent on the drought metric employed. While a strong relationship between climatic indices was evident, climatic and ecological drought metrics showed less dependency over both space and time. Importantly, our study demonstrates uncertainties in future projections of drought trends and their interannual variability related to the relationship among indices, stressing the importance of coherent climatic, hydrological and plant physiological patterns when analyzing CMIP6 model simulations of droughts under a warming climate scenario.
Plain Language Summary
Using climate change models, we perform a drought analysis in terms of climatic, hydrologic and ecological variables on a global scale, studying the projections under a high emission scenario. We analyze how drought events will evolve in the future with respect to their magnitude and duration, and if the different drought metrics agree in space and time. In general, models and metrics agree that there will be drought increase in southern North America, Central America, the Amazon region, the Mediterranean, southern Africa and southern Australia. However, results differ across the world and really depend on the metric used. We show that climatic indices are strongly connected with each other, but no so related to ecological ones. We also find that there are uncertainties in future projections of drought trends, highlighting that we should always take into account the spatial and temporal agreement between climatic |
doi_str_mv | 10.1029/2023EF003629 |
format | article |
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Plain Language Summary
Using climate change models, we perform a drought analysis in terms of climatic, hydrologic and ecological variables on a global scale, studying the projections under a high emission scenario. We analyze how drought events will evolve in the future with respect to their magnitude and duration, and if the different drought metrics agree in space and time. In general, models and metrics agree that there will be drought increase in southern North America, Central America, the Amazon region, the Mediterranean, southern Africa and southern Australia. However, results differ across the world and really depend on the metric used. We show that climatic indices are strongly connected with each other, but no so related to ecological ones. We also find that there are uncertainties in future projections of drought trends, highlighting that we should always take into account the spatial and temporal agreement between climatic, hydrological and plant physiological patterns when studying drought projections.
Key Points
Important differences in drought projections as a function of drought metrics
The temporal relationship between the precipitation‐based climatic metrics is high worldwide
A weak relationship is found between climatic and ecological drought indices</description><identifier>ISSN: 2328-4277</identifier><identifier>EISSN: 2328-4277</identifier><identifier>DOI: 10.1029/2023EF003629</identifier><language>eng</language><publisher>Bognor Regis: John Wiley & Sons, Inc</publisher><subject>Anthropogenic factors ; Climate ; Climate change ; Climatic indexes ; CMIP6 simulations ; Drought ; Drought index ; drought projections ; Drought trends ; Emissions ; Global warming ; Hydrology ; Interannual variability ; model uncertainty ; Normal distribution ; Precipitation ; Simulation ; Trends ; Vegetation</subject><ispartof>Earth's future, 2024-04, Vol.12 (4), p.n/a</ispartof><rights>2024 The Authors. Earth's Future published by Wiley Periodicals LLC on behalf of American Geophysical Union.</rights><rights>2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5163-9f51d02400c9804955cc130595343a48cb90171b1624e995d13b7cc4a6453f383</citedby><cites>FETCH-LOGICAL-c5163-9f51d02400c9804955cc130595343a48cb90171b1624e995d13b7cc4a6453f383</cites><orcidid>0000-0002-8984-0959 ; 0000-0003-2892-518X ; 0000-0001-9305-2325 ; 0000-0003-3101-0394 ; 0000-0001-6249-442X ; 0000-0001-6699-4595</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3046492737/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3046492737?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11562,25753,27924,27925,37012,44590,46052,46476,75126</link.rule.ids></links><search><creatorcontrib>Gimeno‐Sotelo, Luis</creatorcontrib><creatorcontrib>El Kenawy, Ahmed</creatorcontrib><creatorcontrib>Franquesa, Magí</creatorcontrib><creatorcontrib>Noguera, Iván</creatorcontrib><creatorcontrib>Fernández‐Duque, Beatriz</creatorcontrib><creatorcontrib>Domínguez‐Castro, Fernando</creatorcontrib><creatorcontrib>Peña‐Angulo, Dhais</creatorcontrib><creatorcontrib>Reig, Fergus</creatorcontrib><creatorcontrib>Sorí, Rogert</creatorcontrib><creatorcontrib>Gimeno, Luis</creatorcontrib><creatorcontrib>Nieto, Raquel</creatorcontrib><creatorcontrib>Vicente‐Serrano, Sergio M.</creatorcontrib><title>Assessment of the Global Relationship of Different Types of Droughts in Model Simulations Under High Anthropogenic Emissions</title><title>Earth's future</title><description>This study provides a global analysis of the relationship between drought metrics obtained from several climatic, hydrologic and ecological variables in a climate change framework using CMIP6 model data. A comprehensive analysis of the evolution of drought severity on a global scale is carried out for the historical experiment (1850–2014) and for future simulations under a high emissions scenario (SSP5‐8.5). This study focuses on comparing trends in the magnitude and duration of drought events according to different standardized indices over the world land‐surface area. The spatial and temporal relationship between the different drought indices on a global scale was also evaluated. Overall, there is a fairly large consensus among models and drought metrics in pointing to drought increase in southern North America, Central America, the Amazon region, the Mediterranean, southern Africa and southern Australia. Our results show important spatial differences in drought projections, which are highly dependent on the drought metric employed. While a strong relationship between climatic indices was evident, climatic and ecological drought metrics showed less dependency over both space and time. Importantly, our study demonstrates uncertainties in future projections of drought trends and their interannual variability related to the relationship among indices, stressing the importance of coherent climatic, hydrological and plant physiological patterns when analyzing CMIP6 model simulations of droughts under a warming climate scenario.
Plain Language Summary
Using climate change models, we perform a drought analysis in terms of climatic, hydrologic and ecological variables on a global scale, studying the projections under a high emission scenario. We analyze how drought events will evolve in the future with respect to their magnitude and duration, and if the different drought metrics agree in space and time. In general, models and metrics agree that there will be drought increase in southern North America, Central America, the Amazon region, the Mediterranean, southern Africa and southern Australia. However, results differ across the world and really depend on the metric used. We show that climatic indices are strongly connected with each other, but no so related to ecological ones. We also find that there are uncertainties in future projections of drought trends, highlighting that we should always take into account the spatial and temporal agreement between climatic, hydrological and plant physiological patterns when studying drought projections.
Key Points
Important differences in drought projections as a function of drought metrics
The temporal relationship between the precipitation‐based climatic metrics is high worldwide
A weak relationship is found between climatic and ecological drought indices</description><subject>Anthropogenic factors</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climatic indexes</subject><subject>CMIP6 simulations</subject><subject>Drought</subject><subject>Drought index</subject><subject>drought projections</subject><subject>Drought trends</subject><subject>Emissions</subject><subject>Global warming</subject><subject>Hydrology</subject><subject>Interannual variability</subject><subject>model uncertainty</subject><subject>Normal distribution</subject><subject>Precipitation</subject><subject>Simulation</subject><subject>Trends</subject><subject>Vegetation</subject><issn>2328-4277</issn><issn>2328-4277</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kU1rGzEQhkVoIMHJLT9A0Gvdjr5Wq6NJ7SSQEGids9BqZ70y69VWWlMM-fFdx6HklLnM8M4zH8wQcsPgOwNufnDgYrkCEAU3Z-SSC17OJdf6y4f4glznvIXJjAah9CV5XeSMOe-wH2ls6Ngiveti5Tr6Czs3htjnNgzH1M_QNJiO3PowYH6TUtxv2jHT0NOnWGNHf4fd_r2MvvQ1JnofNi1d9GOb4hA32AdPl7uQ8xG5IueN6zJev_sZeVkt17f388fnu4fbxePcK1aIuWkUq4FLAG9KkEYp75kAZZSQwsnSVwaYZhUruERjVM1Epb2XrpBKNKIUM_Jw6ltHt7VDCjuXDja6YN-EmDbWpTH4Dq03teaqVpXyTHKPDjRy5tgkASunE8_I11OvIcU_e8yj3cZ96qf1rQBZSMO10BP17UT5FHNO2PyfysAe32U_vmvC-Qn_Gzo8fMra5WrNmWJC_ANxqZQi</recordid><startdate>202404</startdate><enddate>202404</enddate><creator>Gimeno‐Sotelo, Luis</creator><creator>El Kenawy, Ahmed</creator><creator>Franquesa, Magí</creator><creator>Noguera, Iván</creator><creator>Fernández‐Duque, Beatriz</creator><creator>Domínguez‐Castro, Fernando</creator><creator>Peña‐Angulo, Dhais</creator><creator>Reig, Fergus</creator><creator>Sorí, Rogert</creator><creator>Gimeno, Luis</creator><creator>Nieto, Raquel</creator><creator>Vicente‐Serrano, Sergio M.</creator><general>John Wiley & Sons, Inc</general><general>Wiley</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8984-0959</orcidid><orcidid>https://orcid.org/0000-0003-2892-518X</orcidid><orcidid>https://orcid.org/0000-0001-9305-2325</orcidid><orcidid>https://orcid.org/0000-0003-3101-0394</orcidid><orcidid>https://orcid.org/0000-0001-6249-442X</orcidid><orcidid>https://orcid.org/0000-0001-6699-4595</orcidid></search><sort><creationdate>202404</creationdate><title>Assessment of the Global Relationship of Different Types of Droughts in Model Simulations Under High Anthropogenic Emissions</title><author>Gimeno‐Sotelo, Luis ; El Kenawy, Ahmed ; Franquesa, Magí ; Noguera, Iván ; Fernández‐Duque, Beatriz ; Domínguez‐Castro, Fernando ; Peña‐Angulo, Dhais ; Reig, Fergus ; Sorí, Rogert ; Gimeno, Luis ; Nieto, Raquel ; Vicente‐Serrano, Sergio M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5163-9f51d02400c9804955cc130595343a48cb90171b1624e995d13b7cc4a6453f383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Anthropogenic factors</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climatic indexes</topic><topic>CMIP6 simulations</topic><topic>Drought</topic><topic>Drought index</topic><topic>drought projections</topic><topic>Drought trends</topic><topic>Emissions</topic><topic>Global warming</topic><topic>Hydrology</topic><topic>Interannual variability</topic><topic>model uncertainty</topic><topic>Normal distribution</topic><topic>Precipitation</topic><topic>Simulation</topic><topic>Trends</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gimeno‐Sotelo, Luis</creatorcontrib><creatorcontrib>El Kenawy, Ahmed</creatorcontrib><creatorcontrib>Franquesa, Magí</creatorcontrib><creatorcontrib>Noguera, Iván</creatorcontrib><creatorcontrib>Fernández‐Duque, Beatriz</creatorcontrib><creatorcontrib>Domínguez‐Castro, Fernando</creatorcontrib><creatorcontrib>Peña‐Angulo, Dhais</creatorcontrib><creatorcontrib>Reig, Fergus</creatorcontrib><creatorcontrib>Sorí, Rogert</creatorcontrib><creatorcontrib>Gimeno, Luis</creatorcontrib><creatorcontrib>Nieto, Raquel</creatorcontrib><creatorcontrib>Vicente‐Serrano, Sergio M.</creatorcontrib><collection>Wiley_OA刊</collection><collection>Wiley-Blackwell Free Backfiles(OpenAccess)</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>Environment Abstracts</collection><collection>Directory of Open Access Journals</collection><jtitle>Earth's future</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gimeno‐Sotelo, Luis</au><au>El Kenawy, Ahmed</au><au>Franquesa, Magí</au><au>Noguera, Iván</au><au>Fernández‐Duque, Beatriz</au><au>Domínguez‐Castro, Fernando</au><au>Peña‐Angulo, Dhais</au><au>Reig, Fergus</au><au>Sorí, Rogert</au><au>Gimeno, Luis</au><au>Nieto, Raquel</au><au>Vicente‐Serrano, Sergio M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of the Global Relationship of Different Types of Droughts in Model Simulations Under High Anthropogenic Emissions</atitle><jtitle>Earth's future</jtitle><date>2024-04</date><risdate>2024</risdate><volume>12</volume><issue>4</issue><epage>n/a</epage><issn>2328-4277</issn><eissn>2328-4277</eissn><abstract>This study provides a global analysis of the relationship between drought metrics obtained from several climatic, hydrologic and ecological variables in a climate change framework using CMIP6 model data. A comprehensive analysis of the evolution of drought severity on a global scale is carried out for the historical experiment (1850–2014) and for future simulations under a high emissions scenario (SSP5‐8.5). This study focuses on comparing trends in the magnitude and duration of drought events according to different standardized indices over the world land‐surface area. The spatial and temporal relationship between the different drought indices on a global scale was also evaluated. Overall, there is a fairly large consensus among models and drought metrics in pointing to drought increase in southern North America, Central America, the Amazon region, the Mediterranean, southern Africa and southern Australia. Our results show important spatial differences in drought projections, which are highly dependent on the drought metric employed. While a strong relationship between climatic indices was evident, climatic and ecological drought metrics showed less dependency over both space and time. Importantly, our study demonstrates uncertainties in future projections of drought trends and their interannual variability related to the relationship among indices, stressing the importance of coherent climatic, hydrological and plant physiological patterns when analyzing CMIP6 model simulations of droughts under a warming climate scenario.
Plain Language Summary
Using climate change models, we perform a drought analysis in terms of climatic, hydrologic and ecological variables on a global scale, studying the projections under a high emission scenario. We analyze how drought events will evolve in the future with respect to their magnitude and duration, and if the different drought metrics agree in space and time. In general, models and metrics agree that there will be drought increase in southern North America, Central America, the Amazon region, the Mediterranean, southern Africa and southern Australia. However, results differ across the world and really depend on the metric used. We show that climatic indices are strongly connected with each other, but no so related to ecological ones. We also find that there are uncertainties in future projections of drought trends, highlighting that we should always take into account the spatial and temporal agreement between climatic, hydrological and plant physiological patterns when studying drought projections.
Key Points
Important differences in drought projections as a function of drought metrics
The temporal relationship between the precipitation‐based climatic metrics is high worldwide
A weak relationship is found between climatic and ecological drought indices</abstract><cop>Bognor Regis</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2023EF003629</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-8984-0959</orcidid><orcidid>https://orcid.org/0000-0003-2892-518X</orcidid><orcidid>https://orcid.org/0000-0001-9305-2325</orcidid><orcidid>https://orcid.org/0000-0003-3101-0394</orcidid><orcidid>https://orcid.org/0000-0001-6249-442X</orcidid><orcidid>https://orcid.org/0000-0001-6699-4595</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Anthropogenic factors Climate Climate change Climatic indexes CMIP6 simulations Drought Drought index drought projections Drought trends Emissions Global warming Hydrology Interannual variability model uncertainty Normal distribution Precipitation Simulation Trends Vegetation |
title | Assessment of the Global Relationship of Different Types of Droughts in Model Simulations Under High Anthropogenic Emissions |
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