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Supporting information: Climate change threatens water resources for major field crops in the Serbian Danube River Basin by the mid-21st century
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Created: | Aug 20, 2024 at 6:59 p.m. | |
Last updated: | Apr 24, 2025 at 1:14 p.m. | |
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Sharing Status: | Public |
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Abstract
This resource contains supporting data for the publication ""Climate change threatens water resources for major crops in the Serbian Danube River Basin by the mid-21st century".
A SWAT+ model for the Serbian Danube River Basin (part of the middle and lower Danube River Basin) was developed to assess the impacts of climate change on green water (soil moisture) and blue water (surface and groundwater) resources, focused on the agricultural regions of the basin.
Datasets contained in this resource include:
-Spatial data delineating the basin, the model grid, the model reach network, and other input datasets (digital elevation model, land use map, and soil database/map).
-SWAT+ model files, include default simulation using observed weather data, and input files for 10 model instances (5 climate models and two Representative Concentration Pathways).
-Python codes to (1) modify the SWAT+ land management input files at the HRU scale to represent detailed irrigation and crop rotations, and (2) extract remotely-sensed evapotranspiration data from Google Earth Engine for model calibration.
-R code to execute the SWAT+ executable file in a high performance computing environment.
-R codes and associated data to generate the figures presented in the manuscript, including model outputs.
Subject Keywords
Coverage
Spatial
Temporal
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Content
ReadMe.txt
Purpose: Supporting information for: Climate change threatens water resources for major crops in the Serbian Danube River Basin by the mid-21st century Authors: Jamshid Jalali, Nishan Bhattarai, Jillian Greene, Tao Liu, Oskar Marko, Mirjana Radulović, Molly Sears, Sean A. Woznicki Contact Information: Jamshid Jalali: jalalij@mail.gvsu.edu Sean A. Woznicki: woznicse@gvsu.edu Summary: SWAT+ project (QSWAT+, SWAT+ Editor, and SWAT+ version 60.5.4 input files) set up and calibrated using E-OBS observed climate data, and run using EURO-CORDEX future climate projections for the Serbian Danube River Basin. The repository also includes supporting data and script files for generating the plots used in the aforementioned manuscript. ## DETAILS: SWAT+ was initiall run using the E-OBS weather dataset for 1991-2020. Calibration and uncertainty analysis were conducted using this dataset. Ten model instances were run using five bias-adjusted EURO-CORDEX model outputs and two Representative Concentration Pathways (RCP 4.5 and RCP 8.5) for 2041-2070. Using the model run outputs, 95% Prediction Uncertainty (95PPU) associated with simulations of the five GCM-RCMs, integrated with 48 SWAT+ behavioral parameter sets, was calculated, and the figures were presented in the manuscript above. ## FILE CONTENTS "SWAT+Model" folder: -SWAT+ project generated for Serbian Danube River Basin, run for both Observed and Future climate data under RCP4.5 and RCP 8.5. "supporting_data_scripts" folder: -"data" folder containing the input files to generate the figures presented in the manuscript, including model outputs. -"hpc_script" folder containing an R code to execute the SWAT+ executable file in a high performance computing environment. -"r_script" folder containing the R codes to generate the figures presented in the manuscript. -"python_script" folder containing python codes to (1) modify the SWAT+ land management input files at the HRU scale to represent detailed irrigation and crop rotations, and (2) extract remotely-sensed evapotranspiration data from Google Earth Engine for model calibration.
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Aeronautics and Space Administration | Water Scarcity in the Serbian Danube: Agricultural Land Use Change and Irrigation | 80NSSC22K0467 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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