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Bias corrected and downscaled climate projections over Upper Indus Basin (based on CORDEX-RCM'S)


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Created: Jan 19, 2024 at 6:38 p.m.
Last updated: Jan 24, 2024 at 2:50 p.m. (Metadata update)
Published date: Jan 24, 2024 at 2:49 p.m.
DOI: 10.4211/hs.bd2b1ec6ac94441db3acdfddb97c1bfa
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Sharing Status: Published
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Abstract

This dataset is a by-product of my doctoral research on the hydrological impacts of climate change in the Upper Indus Basin (UIB).

The data provided here covers the full extent of UIB and is provided as bias-corrected and downscaled versions of 5 RCM-GCM experiments (by CORDEX-SA). The "Precipitation" (PCP), and "Temperature" (TMP) projections are in the shape of “point data” for 173 sub-basin centroids, in a ready-to-use format for input to SWAT hydrological model. Additionally, data (with future dates) for other required parameters by the Hydrological Model “SWAT”, such as "Humidity" (RHU), "Solar-radiation" (SLR), and "wind" (WND) is also provided.

It includes bias-corrected and downscaled projections from selected General Circulation Models (GCMs) under the RCP 4.5 and RCP 8.5 scenarios. The selection process involved evaluating GCMs based on mean and extreme changes, as well as their ability to reproduce past climate. To account for uncertainties in high mountainous regions like the UIB, a wide range of future GCM climate projections, including wet-warm, wet-cold, dry-warm, and dry-cold scenarios, were considered. The final selection of GCMs was based on a weighted score assigned to each criterion.

It was found that the Coordinated Regional Downscaling Experiment (CORDEX) already had RCM data for our “top-ranked” GCMs, therefore Dynamically downscaled climate projections from five CORDEX-SA experiments *(IPSL-CM5A-MR_RCA4, MPI-ESM-LR_RCA4, NorESM1-M_RCA4, Can ESM2_RegCM4-4, and GFDL-ESM2M_RCA4)* were downloaded and further statistically downscaled (bias-corrected) over the UIB. These experiments used two different Regional Climate Models (RCMs), RCA4 and RegCM4, resulting in finer-scale outputs (0.44°) than the source GCMs.

The downscaled projections for the year 2100 indicate temperature increases ranging from 2.3°C to 9.0°C and precipitation changes ranging from a slight annual increase of 2.2% under drier scenarios to a high increase of 15.9% in wet scenarios. In all scenarios, future precipitation is expected to be more extreme, with a decrease in the probability of wet days and an increase in precipitation intensities. Spatially, there is a distinct precipitation decrease over the southeastern parts of the basin and an increase in the northeastern parts, particularly pronounced in "Dry-Warm" and "Median" scenarios over the late 21st century.

Full details of the study can be found at:

Khan, A.J.; Koch, M. Selecting and Downscaling a Set of Climate Models for Projecting Climatic Change for Impact Assessment in the Upper Indus Basin (UIB). Climate 2018, 6, 89. https://doi.org/10.3390/cli6040089

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Upper Indus Basin (Pakistan, India)
North Latitude
38.0000°
East Longitude
80.0000°
South Latitude
32.0000°
West Longitude
72.0000°

Temporal

Start Date:
End Date:

Content

Readme.md

Bias_corrected_downscaled_RCM-climate-projections_Upper_Indus_Basin

This dataset is a by-product of my doctoral research on the hydrological impacts of climate change in the Upper Indus Basin (UIB).

The data provided here covers the full extent of UIB and is provided as bias-corrected and downscaled versions of 5 RCM-GCM experiments (by CORDEX-SA). The "Precipitation" (PCP), and "Temperature" (TMP) projections are in the shape of point data for 173 sub-basin centroids, in a ready-to-use format for input to SWAT hydrological model. Additionally, data (with future dates) for other required parameters by the Hydrological Model SWAT, such as "Humidity" (RHU), "Solar-radiation" (SLR), and "wind" (WND) is also provided.

It includes bias-corrected and downscaled projections from selected General Circulation Models (GCMs) under the RCP 4.5 and RCP 8.5 scenarios. The selection process involved evaluating GCMs based on mean and extreme changes, as well as their ability to reproduce past climate. To account for uncertainties in high mountainous regions like the UIB, a wide range of future GCM climate projections, including wet-warm, wet-cold, dry-warm, and dry-cold scenarios, were considered. The final selection of GCMs was based on a weighted score assigned to each criterion.

It was found that the Coordinated Regional Downscaling Experiment (CORDEX) already had RCM data for our top-ranked GCMs, therefore Dynamically downscaled climate projections from five CORDEX-SA experiments (IPSL-CM5A-MR_RCA4, MPI-ESM-LR_RCA4, NorESM1-M_RCA4, Can ESM2_RegCM4-4, and GFDL-ESM2M_RCA4) were downloaded and further statistically downscaled (bias-corrected) over the UIB. These experiments used two different Regional Climate Models (RCMs), RCA4 and RegCM4, resulting in finer-scale outputs (0.44) than the source GCMs.

The downscaled projections for the year 2100 indicate temperature increases ranging from 2.3C to 9.0C and precipitation changes ranging from a slight annual increase of 2.2% under drier scenarios to a high increase of 15.9% in wet scenarios. In all scenarios, future precipitation is expected to be more extreme, with a decrease in the probability of wet days and an increase in precipitation intensities. Spatially, there is a distinct precipitation decrease over the southeastern parts of the basin and an increase in the northeastern parts, particularly pronounced in "Dry-Warm" and "Median" scenarios over the late 21st century.

Full details of the study can be found at:

Khan, A.J.; Koch, M. Selecting and Downscaling a Set of Climate Models for Projecting Climatic Change for Impact Assessment in the Upper Indus Basin (UIB). Climate 2018, 6, 89. Link

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Higher Education Commission, Pakistan HEC overseas Scholarship

How to Cite

Khan, A. J. (2024). Bias corrected and downscaled climate projections over Upper Indus Basin (based on CORDEX-RCM'S), HydroShare, https://doi.org/10.4211/hs.bd2b1ec6ac94441db3acdfddb97c1bfa

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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