Hydro-Climatic variability in the Potohar Plateau of Indus River Basin under CMIP6 climate projections: Hydro-climatic variability in the potohar plateau of Indus River basin under CMIP6 climate projections
Climate change poses one of the greatest challenges of the 21st century, necessitating a comprehensive investigation into its regional hydroclimatic impacts. This study examines future climatic trends in the Potohar region and hydrological responses across its primary basins (Haro, Soan, and Kanshi)...
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description | Climate change poses one of the greatest challenges of the 21st century, necessitating a comprehensive investigation into its regional hydroclimatic impacts. This study examines future climatic trends in the Potohar region and hydrological responses across its primary basins (Haro, Soan, and Kanshi) using latest Global Circulation Models (GCMs) and the Soil and Water Assessment Tool (SWAT) model. We evaluate these changes under three Shared Socioeconomic Pathways (SSPs: 245, 370, and 585) spanning the 21st century. After thoroughly evaluating precipitation and temperature data from 54 GCM runs using performance metrics like Kling-Gupta Efficiency (KGE), Absolute Bias (Abs bias) and Root Mean Square Error (RMSE), we identified the top two models best suited for this study: CNRM-ESM2-1 r1i1p1f2 and EC-EARTH3-VEG r3i1p1f1. These models undergo bias correction via Linear Scaling to provide accurate future climate projections. Our results reveal a warmer and wetter climate over Potohar. Temperature shows a consistent increase across all scenarios, with projections ranging from 0.60 °C to 3.38 °C for SSP245, 0.47 °C to 3.84 °C for SSP370, and 0.57 °C to 6.26 °C for SSP585, intensifying as the century progresses. Precipitation projections, unlike temperature, exhibit significant temporal and spatial variability. However, most SSPs indicate increased precipitation during the monsoon (JJAS) and reduction in winter (DJF). The Potohar region may experience annual precipitation increases of 3–17% for SSP245, 1–28% for SSP370, and − 5–23% for SSP585. Streamflow projections across the Haro (-4–98%) and Soan (-10–44%) Basins generally indicate an annual increase over future periods, while Kanshi (-24–31%) exhibits a mixed trend across the GCMs. Seasonal analysis further reveals distinct flow patterns across the three basins. Additionally, the EC-EARTH model projects the attainment of peak flow one month earlier across all basins in most SSPs. Interannual projections of hydroclimatic variables suggest more frequent extreme events. The changes quantified in this study underscore the urgent need for adaptive water management and region-specific climate action plans to mitigate climate change impacts on water resources, agriculture, urban planning, and disaster risk reduction in the Potohar region. |
doi_str_mv | 10.1007/s00704-024-05274-1 |
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This study examines future climatic trends in the Potohar region and hydrological responses across its primary basins (Haro, Soan, and Kanshi) using latest Global Circulation Models (GCMs) and the Soil and Water Assessment Tool (SWAT) model. We evaluate these changes under three Shared Socioeconomic Pathways (SSPs: 245, 370, and 585) spanning the 21st century. After thoroughly evaluating precipitation and temperature data from 54 GCM runs using performance metrics like Kling-Gupta Efficiency (KGE), Absolute Bias (Abs bias) and Root Mean Square Error (RMSE), we identified the top two models best suited for this study: CNRM-ESM2-1 r1i1p1f2 and EC-EARTH3-VEG r3i1p1f1. These models undergo bias correction via Linear Scaling to provide accurate future climate projections. Our results reveal a warmer and wetter climate over Potohar. Temperature shows a consistent increase across all scenarios, with projections ranging from 0.60 °C to 3.38 °C for SSP245, 0.47 °C to 3.84 °C for SSP370, and 0.57 °C to 6.26 °C for SSP585, intensifying as the century progresses. Precipitation projections, unlike temperature, exhibit significant temporal and spatial variability. However, most SSPs indicate increased precipitation during the monsoon (JJAS) and reduction in winter (DJF). The Potohar region may experience annual precipitation increases of 3–17% for SSP245, 1–28% for SSP370, and − 5–23% for SSP585. Streamflow projections across the Haro (-4–98%) and Soan (-10–44%) Basins generally indicate an annual increase over future periods, while Kanshi (-24–31%) exhibits a mixed trend across the GCMs. Seasonal analysis further reveals distinct flow patterns across the three basins. Additionally, the EC-EARTH model projects the attainment of peak flow one month earlier across all basins in most SSPs. Interannual projections of hydroclimatic variables suggest more frequent extreme events. The changes quantified in this study underscore the urgent need for adaptive water management and region-specific climate action plans to mitigate climate change impacts on water resources, agriculture, urban planning, and disaster risk reduction in the Potohar region.</description><identifier>ISSN: 0177-798X</identifier><identifier>EISSN: 1434-4483</identifier><identifier>DOI: 10.1007/s00704-024-05274-1</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>21st century ; Annual precipitation ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Atmospheric Sciences ; Basins ; Bias ; Climate action ; Climate change ; Climate change mitigation ; Climate models ; Climate trends ; Climate variability ; Climatology ; Disaster management ; Disaster risk ; Earth and Environmental Science ; Earth models ; Earth Sciences ; Emergency preparedness ; Environmental impact ; Error analysis ; Flow distribution ; Flow pattern ; Future climates ; Hydrologic models ; Mathematical models ; Performance evaluation ; Performance measurement ; Precipitation ; Project management ; Risk management ; Risk reduction ; River basins ; Root-mean-square errors ; Scaling ; Soil temperature ; Soil water ; Spatial variability ; Spatial variations ; Stream discharge ; Stream flow ; Temperature data ; Urban agriculture ; Urban planning ; Variability ; Waste Water Technology ; Water Management ; Water Pollution Control ; Water resources</subject><ispartof>Theoretical and applied climatology, 2025, Vol.156 (1), p.20</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2024 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>Copyright Springer Nature B.V. Jan 2025</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00704-024-05274-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00704-024-05274-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Khan, Ahsan Ullah</creatorcontrib><creatorcontrib>Ahmad, Shakil</creatorcontrib><creatorcontrib>Ahmad, Khalil</creatorcontrib><creatorcontrib>Azmat, Muhammad</creatorcontrib><creatorcontrib>Dahri, Zakir Hussain</creatorcontrib><creatorcontrib>Khan, Muhammad Wasif</creatorcontrib><creatorcontrib>Iqbal, Zafar</creatorcontrib><title>Hydro-Climatic variability in the Potohar Plateau of Indus River Basin under CMIP6 climate projections: Hydro-climatic variability in the potohar plateau of Indus River basin under CMIP6 climate projections</title><title>Theoretical and applied climatology</title><addtitle>Theor Appl Climatol</addtitle><description>Climate change poses one of the greatest challenges of the 21st century, necessitating a comprehensive investigation into its regional hydroclimatic impacts. This study examines future climatic trends in the Potohar region and hydrological responses across its primary basins (Haro, Soan, and Kanshi) using latest Global Circulation Models (GCMs) and the Soil and Water Assessment Tool (SWAT) model. We evaluate these changes under three Shared Socioeconomic Pathways (SSPs: 245, 370, and 585) spanning the 21st century. After thoroughly evaluating precipitation and temperature data from 54 GCM runs using performance metrics like Kling-Gupta Efficiency (KGE), Absolute Bias (Abs bias) and Root Mean Square Error (RMSE), we identified the top two models best suited for this study: CNRM-ESM2-1 r1i1p1f2 and EC-EARTH3-VEG r3i1p1f1. These models undergo bias correction via Linear Scaling to provide accurate future climate projections. Our results reveal a warmer and wetter climate over Potohar. Temperature shows a consistent increase across all scenarios, with projections ranging from 0.60 °C to 3.38 °C for SSP245, 0.47 °C to 3.84 °C for SSP370, and 0.57 °C to 6.26 °C for SSP585, intensifying as the century progresses. Precipitation projections, unlike temperature, exhibit significant temporal and spatial variability. However, most SSPs indicate increased precipitation during the monsoon (JJAS) and reduction in winter (DJF). The Potohar region may experience annual precipitation increases of 3–17% for SSP245, 1–28% for SSP370, and − 5–23% for SSP585. Streamflow projections across the Haro (-4–98%) and Soan (-10–44%) Basins generally indicate an annual increase over future periods, while Kanshi (-24–31%) exhibits a mixed trend across the GCMs. Seasonal analysis further reveals distinct flow patterns across the three basins. Additionally, the EC-EARTH model projects the attainment of peak flow one month earlier across all basins in most SSPs. Interannual projections of hydroclimatic variables suggest more frequent extreme events. The changes quantified in this study underscore the urgent need for adaptive water management and region-specific climate action plans to mitigate climate change impacts on water resources, agriculture, urban planning, and disaster risk reduction in the Potohar region.</description><subject>21st century</subject><subject>Annual precipitation</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Atmospheric Sciences</subject><subject>Basins</subject><subject>Bias</subject><subject>Climate action</subject><subject>Climate change</subject><subject>Climate change mitigation</subject><subject>Climate models</subject><subject>Climate trends</subject><subject>Climate variability</subject><subject>Climatology</subject><subject>Disaster management</subject><subject>Disaster risk</subject><subject>Earth and Environmental Science</subject><subject>Earth models</subject><subject>Earth Sciences</subject><subject>Emergency preparedness</subject><subject>Environmental impact</subject><subject>Error analysis</subject><subject>Flow distribution</subject><subject>Flow pattern</subject><subject>Future climates</subject><subject>Hydrologic models</subject><subject>Mathematical models</subject><subject>Performance evaluation</subject><subject>Performance measurement</subject><subject>Precipitation</subject><subject>Project management</subject><subject>Risk management</subject><subject>Risk reduction</subject><subject>River basins</subject><subject>Root-mean-square errors</subject><subject>Scaling</subject><subject>Soil temperature</subject><subject>Soil water</subject><subject>Spatial variability</subject><subject>Spatial variations</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Temperature data</subject><subject>Urban agriculture</subject><subject>Urban planning</subject><subject>Variability</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Water resources</subject><issn>0177-798X</issn><issn>1434-4483</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><recordid>eNpFkMtKAzEYRoMoWKsv4CrgOppbJ5mlDtoWKhbpwl1IJ4lNGSc1yRT69sZWcPFfFofvgwPALcH3BGPxkMrCHGFaZkIFR-QMjAhnHHEu2TkYYSIEErX8uARXKW0xxrSqxAi42cHEgJrOf-nsW7jX0eu173w-QN_DvLFwGXLY6AiXnc5WDzA4OO_NkOC739sIn3Qq4NCb8jev82UF22OYhbsYtrbNPvTpGlw43SV783fHYPXyvGpmaPE2nTePC7QTlCBHa0a5M7V0rTWMyYlmLacTLqgRThLTUtY6bbATa64rIStqqbbEcGOsWXM2Bnen2FL9PdiU1TYMsS-NihHOSV1TKQvFTlTaRd9_2vhPEax-faqTT1V8qqNPRdgPvkppdQ</recordid><startdate>2025</startdate><enddate>2025</enddate><creator>Khan, Ahsan Ullah</creator><creator>Ahmad, Shakil</creator><creator>Ahmad, Khalil</creator><creator>Azmat, Muhammad</creator><creator>Dahri, Zakir Hussain</creator><creator>Khan, Muhammad Wasif</creator><creator>Iqbal, Zafar</creator><general>Springer Vienna</general><general>Springer Nature B.V</general><scope>7QH</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>2025</creationdate><title>Hydro-Climatic variability in the Potohar Plateau of Indus River Basin under CMIP6 climate projections</title><author>Khan, Ahsan Ullah ; 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This study examines future climatic trends in the Potohar region and hydrological responses across its primary basins (Haro, Soan, and Kanshi) using latest Global Circulation Models (GCMs) and the Soil and Water Assessment Tool (SWAT) model. We evaluate these changes under three Shared Socioeconomic Pathways (SSPs: 245, 370, and 585) spanning the 21st century. After thoroughly evaluating precipitation and temperature data from 54 GCM runs using performance metrics like Kling-Gupta Efficiency (KGE), Absolute Bias (Abs bias) and Root Mean Square Error (RMSE), we identified the top two models best suited for this study: CNRM-ESM2-1 r1i1p1f2 and EC-EARTH3-VEG r3i1p1f1. These models undergo bias correction via Linear Scaling to provide accurate future climate projections. Our results reveal a warmer and wetter climate over Potohar. Temperature shows a consistent increase across all scenarios, with projections ranging from 0.60 °C to 3.38 °C for SSP245, 0.47 °C to 3.84 °C for SSP370, and 0.57 °C to 6.26 °C for SSP585, intensifying as the century progresses. Precipitation projections, unlike temperature, exhibit significant temporal and spatial variability. However, most SSPs indicate increased precipitation during the monsoon (JJAS) and reduction in winter (DJF). The Potohar region may experience annual precipitation increases of 3–17% for SSP245, 1–28% for SSP370, and − 5–23% for SSP585. Streamflow projections across the Haro (-4–98%) and Soan (-10–44%) Basins generally indicate an annual increase over future periods, while Kanshi (-24–31%) exhibits a mixed trend across the GCMs. Seasonal analysis further reveals distinct flow patterns across the three basins. Additionally, the EC-EARTH model projects the attainment of peak flow one month earlier across all basins in most SSPs. Interannual projections of hydroclimatic variables suggest more frequent extreme events. The changes quantified in this study underscore the urgent need for adaptive water management and region-specific climate action plans to mitigate climate change impacts on water resources, agriculture, urban planning, and disaster risk reduction in the Potohar region.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00704-024-05274-1</doi></addata></record> |
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subjects | 21st century Annual precipitation Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Atmospheric Sciences Basins Bias Climate action Climate change Climate change mitigation Climate models Climate trends Climate variability Climatology Disaster management Disaster risk Earth and Environmental Science Earth models Earth Sciences Emergency preparedness Environmental impact Error analysis Flow distribution Flow pattern Future climates Hydrologic models Mathematical models Performance evaluation Performance measurement Precipitation Project management Risk management Risk reduction River basins Root-mean-square errors Scaling Soil temperature Soil water Spatial variability Spatial variations Stream discharge Stream flow Temperature data Urban agriculture Urban planning Variability Waste Water Technology Water Management Water Pollution Control Water resources |
title | Hydro-Climatic variability in the Potohar Plateau of Indus River Basin under CMIP6 climate projections: Hydro-climatic variability in the potohar plateau of Indus River basin under CMIP6 climate projections |
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