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China","award":["SKR-2022038"],"award-info":[{"award-number":["SKR-2022038"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Climatic variability and the quantification of climate change impacts on hydrological parameters are persistently uncertain. Remote sensing aids valuable information to streamflow estimations and hydrological parameter projections. However, few studies have been implemented using remote sensing and CMIP6 data embedded with hydrological modeling. This research studied how changing climate influences the hydro-climatic parameters based on the earth system models that participated in the sixth phase of the Coupled Model Intercomparison Project (CMIP6). GRACE evapotranspiration data were forced into the Soil and Water Assessment Tool (SWAT) to project hydrologic responses to future climatic conditions in the Hongshui River basin (HRB) model. A novel approach based on climate elasticity was utilized to determine the extent to which climate variability affects stream flow. CMIP6 SSPs (shared socio-economic pathways) for the second half of the 20th century (1960\u20132020) and 21st century (2021\u20132100) projected precipitation (5\u201316%) for the whole Hongshui River basin (HRB). The ensemble of GCMs projected an increase of 2 \u00b0C in mean temperature. The stream flow is projected to increase by 4.2% under SSP-1.26, 6.2% under SSP-2.45, 8.45% under SSP-3.70, and 9.5% under SSP-5.85, based on the average changes throughout the various long-term future scenarios. We used the climate elasticity method and found that climate change contributes 11% to streamflow variability in the Hongshui River basin (HRB). Despite the uncertainty in projected hydrological variables, most members of the modeling ensemble present encouraging findings for future methods of water resource management.<\/jats:p>","DOI":"10.3390\/rs15102642","type":"journal-article","created":{"date-parts":[[2023,5,19]],"date-time":"2023-05-19T00:55:29Z","timestamp":1684457729000},"page":"2642","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Enhancing Streamflow Modeling by Integrating GRACE Data and Shared Socio-Economic Pathways (SSPs) with SWAT in Hongshui River Basin, China"],"prefix":"10.3390","volume":"15","author":[{"given":"Muhammad","family":"Touseef","sequence":"first","affiliation":[{"name":"College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China"},{"name":"Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Nanning 530004, China"},{"name":"Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Nanning 530004, China"}]},{"given":"Lihua","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China"},{"name":"Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Nanning 530004, China"},{"name":"Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Nanning 530004, China"}]},{"given":"Hang","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China"},{"name":"Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Nanning 530004, China"},{"name":"Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Nanning 530004, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6159-0030","authenticated-orcid":false,"given":"Hamza Farooq","family":"Gabriel","sequence":"additional","affiliation":[{"name":"NUST Institute of Civil Engineering (NICE), School of Civil & Environmental Engineering (SCEE), National University of Sciences & Technology (NUST), Islamabad 44000, Pakistan"}]},{"given":"Wenzhe","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China"},{"name":"Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Nanning 530004, China"},{"name":"Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Nanning 530004, China"}]},{"given":"Ammara","family":"Mubeen","sequence":"additional","affiliation":[{"name":"NUST Institute of Civil Engineering (NICE), School of Civil & Environmental Engineering (SCEE), National University of Sciences & Technology (NUST), Islamabad 44000, Pakistan"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,18]]},"reference":[{"key":"ref_1","first-page":"3","article-title":"Global impacts of agricultural land-use changes on water resources: Quantity versus quality","volume":"43","author":"Scanlon","year":"2006","journal-title":"Water Resour. 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