Observational constraint on climate model projections of global compound hot–dry events and the socioeconomic risks under climate change
The frequency of compound hot–dry events ( f HD ) is projected to increase significantly with future warming, yet associated uncertainties remain considerable and poorly constrained. In this study, we constrain future projections of f HD (2070–2099) using observations of recent trends in temperature...
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description | The frequency of compound hot–dry events ( f HD ) is projected to increase significantly with future warming, yet associated uncertainties remain considerable and poorly constrained. In this study, we constrain future projections of f HD (2070–2099) using observations of recent trends in temperature ( T ) and precipitation ( P ) (1980–2014) during the warm-seasons. The physical mechanism is that the variance of f HD across climate models is dominated by their projected changes in P (Δ P ), which can be constrained by recent trends in T and P . Compared to the raw projections, the observationally constrained f HD is reduced by 9.68%–18.74%, with uncertainty narrowed by 3.79%–10.66% under the high emission scenario. The highest decline of f HD is located in regions with low population and gross domestic product (GDP), and globally, population and GDP exposures to f HD are reduced by 6.02%–10.73% and 6.51%–12.03%, respectively. The observationally constrained f HD with lower uncertainty provides more reliable information for risk management under climate change. |
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In this study, we constrain future projections of f HD (2070–2099) using observations of recent trends in temperature ( T ) and precipitation ( P ) (1980–2014) during the warm-seasons. The physical mechanism is that the variance of f HD across climate models is dominated by their projected changes in P (Δ P ), which can be constrained by recent trends in T and P . Compared to the raw projections, the observationally constrained f HD is reduced by 9.68%–18.74%, with uncertainty narrowed by 3.79%–10.66% under the high emission scenario. The highest decline of f HD is located in regions with low population and gross domestic product (GDP), and globally, population and GDP exposures to f HD are reduced by 6.02%–10.73% and 6.51%–12.03%, respectively. 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The observationally constrained f HD with lower uncertainty provides more reliable information for risk management under climate change.</description><subject>Climate change</subject><subject>Climate models</subject><subject>compound hot–dry events</subject><subject>Constraints</subject><subject>emergent constraints</subject><subject>Information management</subject><subject>Population decline</subject><subject>Risk management</subject><subject>socioeconomic risks</subject><subject>Trends</subject><subject>Uncertainty</subject><issn>1748-9326</issn><issn>1748-9326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNp1kT9vFDEQxVcIJEKgp7REyyX2ev1nSxQBiRQpDdTW2Dt752Nv57B9kdJRp-Ub8knwZdFBQzXW03u_seY1zVvBLwS39lKYzq562epLGMxo2mfN2Ul6_s_7ZfMq5y3nqlPGnjWPdz5juocSaYaJBZpzSRDnwmhmYYo7KMh2NODE9om2GI7GzGhk64n8U2K3p8M8sA2VXz9-DumB4T3OJTOoYtkgyxQiYSXTLgaWYv6WWQ1gOvHDBuY1vm5ejDBlfPNnnjdfP338cnW9ur37fHP14XYVWmXKqrdCiSCsFKP0XJpRKcDeD6BN4FYqEGhaL7TWHFH7XmlrW6N5p7UNgx_leXOzcAeCrdun-of04AiiexIorR2kEsOETvqR9zxYbbHmuYRg2w567m0vpVFQWe8WVj3O9wPm4rZ0SPWS2UkhWqskb7vq4osrJMo54XjaKrg7tueO9bhjPW5pr0beL5FI-7_M_9p_AyCfnco</recordid><startdate>20241101</startdate><enddate>20241101</enddate><creator>Yao, Lei</creator><creator>Leng, Guoyong</creator><creator>Yu, Linfei</creator><creator>Tu, Haiyang</creator><creator>Qiu, Jiali</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8255-0860</orcidid><orcidid>https://orcid.org/0009-0004-1862-4206</orcidid><orcidid>https://orcid.org/0009-0003-4286-638X</orcidid></search><sort><creationdate>20241101</creationdate><title>Observational constraint on climate model projections of global compound hot–dry events and the socioeconomic risks under climate change</title><author>Yao, Lei ; 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subjects | Climate change Climate models compound hot–dry events Constraints emergent constraints Information management Population decline Risk management socioeconomic risks Trends Uncertainty |
title | Observational constraint on climate model projections of global compound hot–dry events and the socioeconomic risks under climate change |
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