Future climate change implications in Bhutan from a downscaled and bias‐adjusted CMIP6 multimodel ensemble
We describe the bias adjustment and downscaling to a resolution of 1 × 1 km of daily temperature, precipitation and solar radiation of a multimodel ensemble of Coupled Model Intercomparison Project Phase 6 (CMIP6) GCMs with the local observational data set BhutanClim for Bhutan and an analysis of th...
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Veröffentlicht in: | International journal of climatology 2024-11, Vol.44 (14), p.5057-5074 |
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description | We describe the bias adjustment and downscaling to a resolution of 1 × 1 km of daily temperature, precipitation and solar radiation of a multimodel ensemble of Coupled Model Intercomparison Project Phase 6 (CMIP6) GCMs with the local observational data set BhutanClim for Bhutan and an analysis of the results for 1996–2100. The GCMs were selected based on their ability to reproduce local temporal and spatial precipitation patterns, resulting in a total of 14 models for each shared socioeconomic pathway (SSP). The results are shown for five global warming levels (GWLs) 1.5, 2, 3, 4 and 5°C, providing insight into the projected impacts of climate change at different warming levels. The daily temperature and precipitation data are publicly available, which is of great benefit for climate impact studies, such as ecological, hydrological or infrastructure‐related studies. In this paper, we discuss showcase climate indicators. Peak‐over‐threshold climate indicators such as hot days above 30°C are relevant for human health. In the capital city of Thimphu, these are currently rare, at 4 days per year, but might increase to more than 80 for GWL5.0. Precipitation increases in the summer months, but slightly decreases in the drier winter months. Accordingly, the 3‐month SPEI drought index is projected to increase in summer, but strongly decreases in the winter months, mostly pronounced in February. The increasing severity of late‐winter and spring droughts might have a negative impact on vegetation, wildfires and water supply.
A newly created high‐resolution multimodel ensemble of CMIP6 climate models are analysed for Bhutan. They show a massive increase in hot days above 30 and 35°C and indicate more pronounced droughts in the winter months, especially in February, as temperature increases while the winter precipitation does not. |
doi_str_mv | 10.1002/joc.8623 |
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A newly created high‐resolution multimodel ensemble of CMIP6 climate models are analysed for Bhutan. They show a massive increase in hot days above 30 and 35°C and indicate more pronounced droughts in the winter months, especially in February, as temperature increases while the winter precipitation does not.</description><identifier>ISSN: 0899-8418</identifier><identifier>EISSN: 1097-0088</identifier><identifier>DOI: 10.1002/joc.8623</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Bhutan ; Bias ; Climate change ; Climate studies ; CMIP6 ; Daily temperatures ; Drought ; Drought index ; Environmental impact ; Future climates ; Global warming ; high resolution ; Hydrologic data ; Indicators ; Intercomparison ; Precipitation ; Precipitation data ; Precipitation patterns ; Solar radiation ; Spatial data ; Summer ; temperature ; Vegetation ; Water supply ; Wildfires ; Winter</subject><ispartof>International journal of climatology, 2024-11, Vol.44 (14), p.5057-5074</ispartof><rights>2024 The Authors. published by John Wiley & Sons Ltd on behalf of Royal Meteorological Society.</rights><rights>2024. This article 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><cites>FETCH-LOGICAL-c2183-29f9f1361d05cffc24edb812cfc63084627abbd27760853bceb78cac15067e2c3</cites><orcidid>0000-0002-5349-8186 ; 0000-0001-5417-387X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjoc.8623$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjoc.8623$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Lehner, Fabian</creatorcontrib><creatorcontrib>Nadeem, Imran</creatorcontrib><creatorcontrib>Formayer, Herbert</creatorcontrib><title>Future climate change implications in Bhutan from a downscaled and bias‐adjusted CMIP6 multimodel ensemble</title><title>International journal of climatology</title><description>We describe the bias adjustment and downscaling to a resolution of 1 × 1 km of daily temperature, precipitation and solar radiation of a multimodel ensemble of Coupled Model Intercomparison Project Phase 6 (CMIP6) GCMs with the local observational data set BhutanClim for Bhutan and an analysis of the results for 1996–2100. The GCMs were selected based on their ability to reproduce local temporal and spatial precipitation patterns, resulting in a total of 14 models for each shared socioeconomic pathway (SSP). The results are shown for five global warming levels (GWLs) 1.5, 2, 3, 4 and 5°C, providing insight into the projected impacts of climate change at different warming levels. The daily temperature and precipitation data are publicly available, which is of great benefit for climate impact studies, such as ecological, hydrological or infrastructure‐related studies. In this paper, we discuss showcase climate indicators. Peak‐over‐threshold climate indicators such as hot days above 30°C are relevant for human health. In the capital city of Thimphu, these are currently rare, at 4 days per year, but might increase to more than 80 for GWL5.0. Precipitation increases in the summer months, but slightly decreases in the drier winter months. Accordingly, the 3‐month SPEI drought index is projected to increase in summer, but strongly decreases in the winter months, mostly pronounced in February. The increasing severity of late‐winter and spring droughts might have a negative impact on vegetation, wildfires and water supply.
A newly created high‐resolution multimodel ensemble of CMIP6 climate models are analysed for Bhutan. They show a massive increase in hot days above 30 and 35°C and indicate more pronounced droughts in the winter months, especially in February, as temperature increases while the winter precipitation does not.</description><subject>Bhutan</subject><subject>Bias</subject><subject>Climate change</subject><subject>Climate studies</subject><subject>CMIP6</subject><subject>Daily temperatures</subject><subject>Drought</subject><subject>Drought index</subject><subject>Environmental impact</subject><subject>Future climates</subject><subject>Global warming</subject><subject>high resolution</subject><subject>Hydrologic data</subject><subject>Indicators</subject><subject>Intercomparison</subject><subject>Precipitation</subject><subject>Precipitation data</subject><subject>Precipitation patterns</subject><subject>Solar radiation</subject><subject>Spatial data</subject><subject>Summer</subject><subject>temperature</subject><subject>Vegetation</subject><subject>Water supply</subject><subject>Wildfires</subject><subject>Winter</subject><issn>0899-8418</issn><issn>1097-0088</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp10E1OwzAQBWALgUQpSBzBEhs2KbaTOPYSIgpFRWUB68jxD3Xk2CVOVHXHETgjJyGlbFk9afTNjPQAuMRohhEiN02QM0ZJegQmGPEiQYixYzBBjPOEZZidgrMYG4QQ55hOgJsP_dBpKJ1tRT_mWvh3DW27cVaK3gYfofXwbj30wkPThRYKqMLWRymcVlB4BWsr4vfnl1DNEPtxVj4vXihsB9fbNijtoPZRt7XT5-DECBf1xV9Owdv8_rV8TJarh0V5u0wkwSxNCDfc4JRihXJpjCSZVjXDRBpJU8QySgpR14oUBUUsT2up64JJIXGOaKGJTKfg6nB304WPQce-asLQ-fFllWKSc0qyHI3q-qBkF2LstKk23VhCt6swqvZdjluy2nc50uRAt9bp3b-uelqVv_4HLSl25A</recordid><startdate>20241130</startdate><enddate>20241130</enddate><creator>Lehner, Fabian</creator><creator>Nadeem, Imran</creator><creator>Formayer, Herbert</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-5349-8186</orcidid><orcidid>https://orcid.org/0000-0001-5417-387X</orcidid></search><sort><creationdate>20241130</creationdate><title>Future climate change implications in Bhutan from a downscaled and bias‐adjusted CMIP6 multimodel ensemble</title><author>Lehner, Fabian ; Nadeem, Imran ; Formayer, Herbert</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2183-29f9f1361d05cffc24edb812cfc63084627abbd27760853bceb78cac15067e2c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Bhutan</topic><topic>Bias</topic><topic>Climate change</topic><topic>Climate studies</topic><topic>CMIP6</topic><topic>Daily temperatures</topic><topic>Drought</topic><topic>Drought index</topic><topic>Environmental impact</topic><topic>Future climates</topic><topic>Global warming</topic><topic>high resolution</topic><topic>Hydrologic data</topic><topic>Indicators</topic><topic>Intercomparison</topic><topic>Precipitation</topic><topic>Precipitation data</topic><topic>Precipitation patterns</topic><topic>Solar radiation</topic><topic>Spatial data</topic><topic>Summer</topic><topic>temperature</topic><topic>Vegetation</topic><topic>Water supply</topic><topic>Wildfires</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lehner, Fabian</creatorcontrib><creatorcontrib>Nadeem, Imran</creatorcontrib><creatorcontrib>Formayer, Herbert</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library Free Content</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>International journal of climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lehner, Fabian</au><au>Nadeem, Imran</au><au>Formayer, Herbert</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Future climate change implications in Bhutan from a downscaled and bias‐adjusted CMIP6 multimodel ensemble</atitle><jtitle>International journal of climatology</jtitle><date>2024-11-30</date><risdate>2024</risdate><volume>44</volume><issue>14</issue><spage>5057</spage><epage>5074</epage><pages>5057-5074</pages><issn>0899-8418</issn><eissn>1097-0088</eissn><abstract>We describe the bias adjustment and downscaling to a resolution of 1 × 1 km of daily temperature, precipitation and solar radiation of a multimodel ensemble of Coupled Model Intercomparison Project Phase 6 (CMIP6) GCMs with the local observational data set BhutanClim for Bhutan and an analysis of the results for 1996–2100. The GCMs were selected based on their ability to reproduce local temporal and spatial precipitation patterns, resulting in a total of 14 models for each shared socioeconomic pathway (SSP). The results are shown for five global warming levels (GWLs) 1.5, 2, 3, 4 and 5°C, providing insight into the projected impacts of climate change at different warming levels. The daily temperature and precipitation data are publicly available, which is of great benefit for climate impact studies, such as ecological, hydrological or infrastructure‐related studies. In this paper, we discuss showcase climate indicators. Peak‐over‐threshold climate indicators such as hot days above 30°C are relevant for human health. In the capital city of Thimphu, these are currently rare, at 4 days per year, but might increase to more than 80 for GWL5.0. Precipitation increases in the summer months, but slightly decreases in the drier winter months. Accordingly, the 3‐month SPEI drought index is projected to increase in summer, but strongly decreases in the winter months, mostly pronounced in February. The increasing severity of late‐winter and spring droughts might have a negative impact on vegetation, wildfires and water supply.
A newly created high‐resolution multimodel ensemble of CMIP6 climate models are analysed for Bhutan. They show a massive increase in hot days above 30 and 35°C and indicate more pronounced droughts in the winter months, especially in February, as temperature increases while the winter precipitation does not.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/joc.8623</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-5349-8186</orcidid><orcidid>https://orcid.org/0000-0001-5417-387X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bhutan Bias Climate change Climate studies CMIP6 Daily temperatures Drought Drought index Environmental impact Future climates Global warming high resolution Hydrologic data Indicators Intercomparison Precipitation Precipitation data Precipitation patterns Solar radiation Spatial data Summer temperature Vegetation Water supply Wildfires Winter |
title | Future climate change implications in Bhutan from a downscaled and bias‐adjusted CMIP6 multimodel ensemble |
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