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Assessment of climate change projections in the Chenab River Basin, Western Himalaya


Article Information

Title: Assessment of climate change projections in the Chenab River Basin, Western Himalaya

Authors: Jamal Hassan Ougahi

Journal: International Journal of Innovations in Science & Technology

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30
Y 2021-07-01 2022-06-30

Publisher: 50SEA JOURNALS (SMC-PRIVATE) LIMITED

Country: Pakistan

Year: 2022

Volume: 4

Issue: Special Issue

Language: English

Keywords: TemperatureClimate changePrecipitationGCMChenab River Basin

Categories

Abstract

General circulation models (GCMs) are vital to project potential changes in futureclimate under different emissions scenarios. Raw GCM output is not applicable atregional scale due to biases relative to observational data and coarse spatial scale forfuture climate predictions. Here, statistical downscaling method was employed to generatedaily maximum temperature (Tmax), minimum temperature (Tmin) and precipitation ofcoarse spatial resolution of GCM (0.5 degree) which fall within the boundary of CRB. In thisstudy, the fifth generation ECMWF atmospheric reanalysis (ERA5) data was used as observeddata to downscale and bias-correct GFDL-ESM2M data under RCP4.5 and RCP8.5 emissionscenarios for the near future (2020-2050), mid-century (2051-2080) and end of century (2081-2100) in the Chenab River Basin (CRB). The refined output from the GCM was furtheranalyzed to depict climate changes in the CRB. It was found that a consistent increase inmaximum temperature (Tmax) and minimum temperature (Tmin) was recorded under RCP4.5and RCP8.5 in the future scenarios. In the CRB, the magnitude of increase in predicted Tminwas higher than Tmax. However, precipitation showed an increasing trend in near future whiledecreasing trend in the mid-century and end of century under RCP4.5.


Research Objective

To evaluate past and projected climate change (temperature and precipitation) over the Chenab River Basin (CRB) using downscaled and bias-corrected Global Circulation Model (GCM) data under different emission scenarios.


Methodology

Statistical downscaling and bias correction of GFDL-ESM2M GCM data using ERA5 reanalysis data for daily maximum temperature (Tmax), minimum temperature (Tmin), and precipitation. Projections were made for near future (2020-2050), mid-century (2051-2080), and end of century (2081-2100) under RCP4.5 and RCP8.5 emission scenarios.

Methodology Flowchart
                        graph TD
    A[Select GCM GFDL-ESM2M and Reanalysis Data ERA5] --> B[Statistical Downscaling and Bias Correction];
    B --> C[Generate Daily Tmax, Tmin, Precipitation Data];
    C --> D[Apply Emission ScenariosRCP4.5, RCP8.5];
    D --> E[Project for Future Time PeriodsNear, Mid, End Century];
    E --> F[Analyze Climate Change Trends in CRB];
    F --> G[Draw Conclusions and Discuss Implications];                    

Discussion

The study highlights significant projected warming in the CRB, with Tmin increasing more than Tmax. Precipitation projections are variable, with no uniform trend across all scenarios and time periods, likely due to the complex climate and topography of the region. The projected temperature rise raises concerns about water availability due to increased evaporative losses and potential impacts on snowmelt and seasonal river flow.


Key Findings

A consistent increase in Tmax and Tmin is projected under both RCP4.5 and RCP8.5 scenarios. The magnitude of increase in Tmin is higher than Tmax. Precipitation shows an increasing trend in the near future under RCP8.5, but a decreasing trend in the mid-century and end of century under RCP4.5.


Conclusion

The Chenab River Basin is projected to experience significant warming throughout the 21st century under both RCP4.5 and RCP8.5 scenarios, with Tmin showing a more pronounced increase than Tmax. Precipitation trends are variable, with an initial increase followed by a decrease in later periods under certain scenarios. These findings underscore potential challenges for water availability in the region, impacting agriculture and industrial sectors.


Fact Check

1. ERA5 Data: The study uses the fifth generation ECMWF atmospheric reanalysis (ERA5) data as observed data for downscaling and bias correction. ERA5 is a widely recognized and high-quality reanalysis product.
2. GFDL-ESM2M Model: The GFDL-ESM2M GCM was selected due to its reported dominant ability to simulate climate over South Asia and its better performance in capturing precipitation patterns over northern Pakistan in previous studies.
3. Temperature Increase: The study projects an increase in Tmin and Tmax, with Tmin showing a higher magnitude of increase, consistent with general climate change projections for mountainous regions.


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