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Future climate projections using the LARS-WG6 downscaling model over Upper Indus Basin, Pakistan
Summera Fahmi Khan1,2, Usman Ali Naeem3
1University of Engineering and Technology, Taxila, Pakistan. fahmi.wah@gmail.com.
Environmental Monitoring and Assessment
|June 7, 2023
Summary
Climate change projections for the Upper Indus Basin show rising temperatures under both RCP 4.5 and RCP 8.5 scenarios. Precipitation trends are uncertain, though an overall increase is projected by the ensemble of Regional Climate Models.
Area of Science:
- Climatology
- Environmental Science
- Hydrology
Background:
- The Upper Indus Basin (UIB) is a critical region for water resources.
- Understanding local-scale climate change impacts is essential for adaptation strategies.
- Previous studies often lack high-resolution projections for this specific basin.
Purpose of the Study:
- To investigate local-scale projections of precipitation and temperature in the UIB.
- To downscale climate data using Regional Climate Models (RCMs) and a weather generator.
- To assess future changes under Representative Concentration Pathways (RCPs) 4.5 and 8.5.
Main Methods:
- Utilized six CORDEX RCMs for downscaling.
- Employed the Long Ashton Research Station Weather Generator (LARS-WG6) for daily data.
- Analyzed projections for maximum temperature (Tmax), minimum temperature (Tmin), and precipitation (pr) for mid-century and end-century periods.
- Validated LARS-WG6 model performance for temperature and precipitation simulation in the UIB.
Main Results:
- All RCMs project a continuous increase in temperature across the UIB.
- Higher temperature increases are projected under RCP 8.5 compared to RCP 4.5.
- Precipitation projections show non-uniform trends, with varying RCM agreement on increase or decrease.
- An overall increase in precipitation is projected by the ensemble of RCMs.
Conclusions:
- The UIB is projected to experience significant warming, particularly under higher emission scenarios.
- Uncertainty exists in future precipitation patterns, necessitating robust water management planning.
- Downscaled RCM data using LARS-WG6 provides valuable insights for local climate change impact assessments in the UIB.
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