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Journal of Arid Land
Journal of Arid Land  2022, Vol. 14 Issue (11): 1234-1257    DOI: 10.1007/s40333-022-0081-1
Research article     
Implications of future climate change on crop and irrigation water requirements in a semi-arid river basin using CMIP6 GCMs
Kunal KARAN1, Dharmaveer SINGH2,*(), Pushpendra K SINGH3,*(), Birendra BHARATI1, Tarun P SINGH2, Ronny BERNDTSSON4
1Department of Water Engineering and Management, Central University of Jharkhand, Brambe, Ranchi 835205, India
2Symbiosis Institute of Geo-informatics, Symbiosis International (Deemed University), Pune 411016, India
3Water Resources Systems Division, National Institute of Hydrology, Roorkee 247667, India
4Division of Water Resources Engineering & Centre for Advanced Middle Eastern Studies, Lund University, Lund Box 117, 22100, Sweden
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Abstract  

Agriculture faces risks due to increasing stress from climate change, particularly in semi-arid regions. Lack of understanding of crop water requirement (CWR) and irrigation water requirement (IWR) in a changing climate may result in crop failure and socioeconomic problems that can become detrimental to agriculture-based economies in emerging nations worldwide. Previous research in CWR and IWR has largely focused on large river basins and scenarios from the Coupled Model Intercomparison Project Phase 3 (CMIP3) and Coupled Model Intercomparison Project Phase 5 (CMIP5) to account for the impacts of climate change on crops. Smaller basins, however, are more susceptible to regional climate change, with more significant impacts on crops. This study estimates CWRs and IWRs for five crops (sugarcane, wheat, cotton, sorghum, and soybean) in the Pravara River Basin (area of 6537 km2) of India using outputs from the most recent Coupled Model Intercomparison Project Phase 6 (CMIP6) General Circulation Models (GCMs) under Shared Socio-economic Pathway (SSP)245 and SSP585 scenarios. An increase in mean annual rainfall is projected under both scenarios in the 2050s and 2080s using ten selected CMIP6 GCMs. CWRs for all crops may decline in almost all of the CMIP6 GCMs in the 2050s and 2080s (with the exceptions of ACCESS-CM-2 and ACCESS-ESM-1.5) under SSP245 and SSP585 scenarios. The availability of increasing soil moisture in the root zone due to increasing rainfall and a decrease in the projected maximum temperature may be responsible for this decline in CWR. Similarly, except for soybean and cotton, the projected IWRs for all other three crops under SSP245 and SSP585 scenarios show a decrease or a small increase in the 2050s and 2080s in most CMIP6 GCMs. These findings are important for agricultural researchers and water resource managers to implement long-term crop planning techniques and to reduce the negative impacts of climate change and associated rainfall variability to avert crop failure and agricultural losses.

Key words： climate change      crop water requirement      irrigation water requirement      CMIP6 GCMs      emission scenario      Pravara River Basin     
Received: 27 July 2022      Published: 30 November 2022
Corresponding Authors: Dharmaveer SINGH, Pushpendra K SINGH     E-mail: veermnnit@gmail.com;pushpendras123@gmail.com
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Kunal KARAN
Dharmaveer SINGH
Pushpendra K SINGH
Birendra BHARATI
Tarun P SINGH
Ronny BERNDTSSON
Cite this article:

Kunal KARAN, Dharmaveer SINGH, Pushpendra K SINGH, Birendra BHARATI, Tarun P SINGH, Ronny BERNDTSSON. Implications of future climate change on crop and irrigation water requirements in a semi-arid river basin using CMIP6 GCMs. Journal of Arid Land, 2022, 14(11): 1234-1257.

URL:

http://jal.xjegi.com/10.1007/s40333-022-0081-1     OR     http://jal.xjegi.com/Y2022/V14/I11/1234

Fig. 1 Overview of the Pravara River Basin (PRB) as well as the important places (cities, towns, and dams) in the basin
Crop Scientific name Planting-
harvesting date		 Critical
depletion
factor		 Rooting
depth (cm)		 Length of crop growth stage (d)
Initial Developing Middle
season		 Late season
Wheat Triticum aestivum 15 Oct-11 Feb 0.55 1.50 15 25 50 30
Sorghum Sorghum bicolor 15 Oct-16 Feb 0.60 1.40 20 35 40 30
Sugarcane Saccharum officinarum 15 July-14 July 0.65 1.50 30 60 180 95
Cotton Gossypium 15 July-10 Jan 0.65 1.40 30 50 55 45
Soybean Glycine max 15 July-1 Dec 0.50 1.00 30 30 50 30
Table 1 Planting and harvesting date for the major crops grown in the Pravara River Basin (PRB)
Fig. 2 Flowchart showing the adopted methodology for estimating and investigating the implications of future climate change on CWRs and IWRs for major crops in the PRB. CWR, crop water requirement; IWR, irrigation water requirements; Kc, crop coefficient; CMIP6, Coupled Model Intercomparison Project Phase 6; GCMs, General Circulation Models; SSP, Shared Socio-economic Pathway; MK, Mann-Kendall; ET0, reference crop evapotranspiration; FAO, Food and Agriculture Organization; ETc, crop evapotranspiration; Reff, effective rainfall.
CMIP6 GCM Description Spatial resolution Institution
ACCESS-ESM-1.5 Australian Community Climate and Earth System Simulator-Earth System Model Version 1.0 1.250°×1.875° Commonwealth Scientific and Industrial Organisation (CSIRO), Australia and Bureau of Meteorology (BOM), Australia
ACCESS-CM-2 Australian Community Climate and Earth System Simulator-Coupled Model Version 2.0 1.250°×1.875° Commonwealth Scientific and Industrial Organisation (CSIRO), Australia and Bureau of Meteorology (BOM), Australia
BCC-CSM2-MR Beijing Climate Centre Climate System Model Version 2.0 1.100°×1.100° Beijing Climate Centre, China Meteorological Administration, China
EC-Earth3 Earth Consortium-Earth 3 Model 0.350°×0.350° Twenty-seven research institutes from 10 European countries
EC-Earth3-Veg Earth Consortium-Earth 3 Veg Model 0.350°×0.350° Twenty-seven research institutes from 10 European countries
INM-CM4-8 Institute for Numerical Mathematics Climate Model Version 4.8 2.000°×1.500° Institute for Numerical Mathematics, Russia
INM-CM5-0 Institute for Numerical Mathematics Climate Model Version 5.0 2.000°×1.500° Institute for Numerical Mathematics, Russia
MPI-ESM1-2-HR Max Planck Institute for Meteorology Earth System Model Version 1.2 with higher resolution 0.940°×0.940° Max Planck Institute for Meteorology, Germany
MRI-ESM2.0 Meteorological Research Institute Earth System Model Version 2.0 1.125°×1.125° Meteorological Research Institute, Japan
NorESM2-MM Norwegian Earth System Model Version 2.0 with medium resolution 2.500°×1.890° Norwegian Community Earth System Model, Norway
Table 2 Detailed description of Coupled Model Intercomparison Project Phase 6 (GMIP6) General Circulation Models (GCMs) used in this study
Climatic variable Mean Standard deviation Coefficient of skewness Coefficient of kurtosis Coefficient of variance (%) Buishand's Range test
Cumulative deviation/square root (n) R/square root (n) Break year
Annual
Tmax (°C) 33.72 0.50 -0.27 0.26 1.50 1.38 1.99* 2016
Tmin (°C) 18.99 0.26 0.04 -0.07 1.40 0.54 0.87
Rainfall (mm) 593.38 176.10 1.17 1.58 29.68 0.75 0.75
Pre-monsoon season (March-May)
Tmax (°C) 38.99 0.54 0.01 0.46 1.40 1.06 1.50
Tmin (°C) 21.07 0.56 -0.37 0.34 2.68 0.58 1.03
Rainfall (mm) 18.03 22.34 1.88 3.92 123.87 1.09 1.16
Monsoon season (June-September)
Tmax (°C) 31.93 0.69 -0.22 -0.79 2.18 1.37 1.51* 2016
Tmin (°C) 23.57 0.70 -1.04 0.51 2.99 1.66 1.70* 2016
Rainfall (mm) 470.25 150.39 1.40 2.57 31.98 1.65 1.65* 2017
Post-monsoon season (October-November)
Tmax (°C) 32.68 0.88 -0.52 0.63 2.71 1.03 1.53* 2016
Tmin (°C) 17.77 0.67 -0.08 0.25 3.78 0.89 1.12
Rainfall (mm) 98.17 75.02 0.94 0.35 76.43 0.89 0.98
Winter season (December-February)
Tmax (°C) 31.49 0.67 -0.01 -0.28 2.13 1.04 1.87* 2019
Tmin (°C) 11.51 0.93 1.42 1.70 8.11 1.56 1.60* 2017
Rainfall (mm) 6.91 16.81 3.49 13.02 243.05 1.07 1.23
Table 3 Statistical information of annual and seasonal climatic variables averaged over 1991-2020 in the PRB
Period Tmax Tmin Rainfall
Zs Q (°C/a) Zs Q (°C/a) Zs Q (°C/a)
Annual -0.71 -0.01 -0.14 No trend -1.32 -4.61
Monsoon 0.96 0.02 0.96 0.02 -1.21 -3.78
Pre-monsoon -0.82 -0.01 0.18 No trend -0.04 No trend
Winter -0.71 -0.01 -1.25 -0.02 0.13 No trend
Post-monsoon -0.71 -0.02 0.86 0.01 -0.25 -0.62
Table 4 Annual and seasonal trends in temperature and rainfall anomalies in the PRB for historical period (1991-2020)
Fig. 3 Projected changes in annual Tmin (a-d) and Tmax (e-h) in the PRB using different CMIP6 GCMs under SSP245 and SSP585 scenarios in the 2050s and 2080s. Tmin, minimum temperature; Tmax, maximum temperature.
Fig. 4 Projected changes in mean annual rainfall in the PRB using different CMIP6 GCMs under SSP245 and SSP585 scenarios in the 2050s (a and b) and 2080s (c and d).
Month Temperature (°C) Humidity
(%)		 Wind speed
(km/d)		 Sunshine
hours (h)		 Rn (MJ
/(m2•d))		 ET0
(mm/d)		 Rainfall
(mm/month)		 Reff
(mm/month)
Tmin Tmax
Jan 10.41 30.81 36 182 5.21 13.41 4.44 1.01 1.02
Feb 13.12 33.52 27 203 5.52 15.22 5.54 1.41 1.42
Mar 17.41 37.01 26 233 5.42 16.73 6.80 6.42 6.34
Apr 21.7 39.62 24 291 5.34 17.64 7.92 2.81 2.82
May 24.14 40.42 53 311 5.01 17.44 7.29 8.91 8.82
Jun 24.63 35.12 72 319 5.12 17.52 5.52 115.82 94.34
Jul 23.54 31.01 82 292 5.01 17.35 4.31 98.01 82.62
Aug 23.42 30.21 84 236 5.32 17.52 4.02 107.72 89.13
Sep 22.82 31.62 70 187 5.34 16.81 4.40 148.71 113.34
Oct 20.23 33.42 58 174 5.54 15.62 4.61 77.01 67.56
Nov 15.32 31.92 50 174 5.42 13.91 4.33 21.22 20.51
Dec 11.21 30.41 44 176 5.23 12.82 4.11 4.51 4.53
Average 18.99 33.73 53 232 5.31 16.01 5.27 593.42 492.21
Table 5 Estimations of monthly reference crop evapotranspiration (ET0) and effective rainfall (Reff) in the PRB from meteorological data averaged over 1991-2020
Month Number of cycles
per 10 d		 Growth
stage		 Kc CWR Reff
(mm/10 d)		 IWR
(mm/10 d)
(mm/d) (mm/10 d)
Oct 2 Initial 0.75 3.44 20.61 13.50 9.40
Oct 3 Developing 0.75 3.39 37.30 17.30 20.10
Nov 1 Developing 0.88 3.89 38.90 11.10 27.80
Nov 2 Developing 1.06 4.57 45.70 5.40 40.30
Nov 3 Middle 1.19 5.04 50.41 4.10 46.30
Dec 1 Middle 1.19 4.97 49.71 2.90 46.80
Dec 2 Middle 1.19 4.89 48.90 0.90 47.90
Dec 3 Middle 1.19 5.02 55.20 0.70 54.50
Jan 1 Middle 1.19 5.15 51.50 0.60 50.90
Jan 2 Late 1.15 5.10 51.00 0.20 50.80
Jan 3 Late 1.03 4.96 54.60 0.30 54.30
Feb 1 Late 0.91 4.72 47.21 0.30 47.00
Feb 2 Late 0.85 4.72 4.70 0.00 4.70
Average 555.84 57.30 500.80
Table 6 Estimations of CWR and IWR for wheat in the PRB for historical period (1991-2020)
Month Number of cycles
per 10 d		 Growth
stage		 Kc CWR Reff
(mm/10 d)		 IWR
(mm/10 d)
(mm/d) (mm/10 d)
Oct 2 Initial 0.30 1.38 8.30 13.50 0.00
Oct 3 Initial 0.30 1.35 14.80 17.30 0.00
Nov 1 Developing 0.36 1.59 15.90 11.10 4.80
Nov 2 Developing 0.57 2.45 24.50 5.40 19.20
Nov 3 Developing 0.78 3.32 33.20 4.10 29.20
Dec 1 Middle 0.99 4.14 41.40 2.90 38.50
Dec 2 Middle 1.05 4.31 43.10 0.90 42.20
Dec 3 Middle 1.05 4.43 48.70 0.70 48.00
Jan 1 Middle 1.05 4.55 45.50 0.60 44.80
Jan 2 Late 1.04 4.62 46.20 0.20 46.00
Jan 3 Late 0.92 4.41 48.50 0.30 48.30
Feb 1 Late 0.76 3.95 39.50 0.30 39.20
Feb 2 Late 0.65 3.58 21.50 0.20 21.30
Average 431.20 57.40 381.50
Table 7 Estimations of CWR and IWR for sorghum in the PRB for historical period (1991-2020)
Month Number of cycles
per 10 d		 Growth
stage		 Kc CWR Reff
(mm/10 d)		 IWR
(mm/10 d)
(mm/d) (mm/10 d)
Jul 2 Initial 0.40 1.67 10.00 16.00 0.00
Jul 3 Initial 0.40 1.65 18.10 27.70 0.00
Aug 1 Initial 0.40 1.64 16.40 28.50 0.00
Aug 2 Developing 0.47 1.88 18.80 28.90 0.00
Aug 3 Developing 0.72 2.97 32.70 31.90 0.80
Sep 1 Developing 0.98 4.16 41.60 37.30 4.30
Sep 2 Middle 1.13 4.97 49.70 41.10 8.60
Sep 3 Middle 1.14 5.06 50.60 34.90 15.70
Oct 1 Middle 1.14 5.14 51.40 27.60 23.80
Oct 2 Middle 1.14 5.22 52.20 22.50 29.70
Oct 3 Middle 1.14 5.12 56.30 17.30 39.00
Nov 1 Late 1.05 4.60 46.00 11.10 35.00
Nov 2 Late 0.84 3.62 36.20 5.40 30.90
Nov 3 Late 0.63 2.69 26.90 4.10 22.80
Dec 1 Late 0.52 2.17 2.20 0.30 2.20
Average 509.10 334.40 212.80
Table 8 Estimations of CWR and IWR for soybean in the PRB for historical period (1991-2020)
Month Number of cycles
per 10 d		 Growth
stage		 Kc CWR Reff
(mm/10 d)		 IWR
(mm/10 d)
(mm/d) (mm/10 d)
Jul 2 Initial 0.81 3.39 20.40 16.00 0.20
Jul 3 Initial 0.40 1.65 18.10 27.70 0.00
Aug 1 Initial 0.40 1.64 16.40 28.50 0.00
Aug 2 Developing 0.44 1.77 17.70 28.90 0.00
Aug 3 Developing 0.60 2.46 27.10 31.90 0.00
Sep 1 Developing 0.76 3.22 32.20 37.30 0.00
Sep 2 Developing 0.91 3.97 39.70 41.10 0.00
Sep 3 Developing 1.06 4.71 47.10 34.90 12.20
Oct 1 Developing 1.21 5.47 54.70 27.60 27.10
Oct 2 Middle 1.31 6.00 60.00 22.50 37.50
Oct 3 Middle 1.31 5.88 64.70 17.30 47.50
Nov 1 Middle 1.31 5.77 57.70 11.10 46.60
Nov 2 Middle 1.31 5.65 56.50 5.40 51.10
Nov 3 Middle 1.31 5.55 55.50 4.10 51.50
Dec 1 Middle 1.31 5.46 54.60 2.90 51.70
Dec 2 Middle 1.31 5.37 53.70 0.90 52.70
Dec 3 Middle 1.31 5.51 60.60 0.70 59.90
Jan 1 Middle 1.31 5.66 56.60 0.60 55.90
Jan 2 Middle 1.31 5.80 58.00 0.20 57.80
Jan 3 Middle 1.31 6.28 69.10 0.30 68.80
Feb 1 Middle 1.31 6.76 67.60 0.30 67.30
Month Number of cycles
per 10 d		 Growth
stage		 Kc CWR Reff
(mm/10 d)		 IWR
(mm/10 d)
(mm/d) (mm/10 d)
Feb 2 Middle 1.31 7.24 72.40 0.30 72.10
Feb 3 Middle 1.31 7.79 62.30 0.90 61.40
Mar 1 Middle 1.31 8.34 83.40 1.80 81.60
Mar 2 Middle 1.31 8.89 88.90 2.50 86.40
Mar 3 Middle 1.31 9.38 103.20 2.00 101.20
Apr 1 Middle 1.31 10.05 100.50 1.10 99.40
Apr 2 Late 1.28 10.39 103.90 0.50 103.40
Apr 3 Late 1.23 9.62 96.20 1.30 94.90
May 1 Late 1.17 8.88 88.80 0.30 88.50
May 2 Late 1.12 8.28 82.80 0.00 82.80
May 3 Late 1.06 7.20 79.20 8.60 70.60
Jun 1 Late 1.01 6.15 61.50 25.00 36.50
Jun 2 Late 0.95 5.26 52.60 36.00 16.50
Jun 3 Late 0.90 4.60 46.00 33.20 12.70
Jul 1 Late 0.85 3.92 39.20 28.30 10.90
Jul 2 Late 0.81 3.39 13.60 10.70 0.20
Average 2162.10 492.40 1707.00
Table 9 Estimations of CWR and IWR for sugarcane in the PRB for historical period (1991-2020)
Month Number of cycles
per 10 d		 Growth
stage		 Kc CWR Reff
(mm/10 d)		 IWR
(mm/10 d)
(mm/d) (mm/10 d)
Jul 2 Initial 0.35 1.46 8.80 16.00 0.00
Jul 3 Initial 0.35 1.44 15.90 27.70 0.00
Aug 1 Initial 0.35 1.43 14.30 28.50 0.00
Aug 2 Developing 0.40 1.59 15.90 28.90 0.00
Aug 3 Developing 0.57 2.37 26.00 31.90 0.00
Sep 1 Developing 0.75 3.21 32.10 37.30 0.00
Sep 2 Developing 0.93 4.06 40.60 41.10 0.00
Sep 3 Developing 1.10 4.89 48.90 34.90 14.00
Oct 1 Middle 1.21 5.46 54.60 27.60 27.00
Oct 2 Middle 1.21 5.56 55.60 22.50 33.00
Oct 3 Middle 1.21 5.45 59.90 17.30 42.60
Nov 1 Middle 1.21 5.34 53.40 11.10 42.30
Nov 2 Middle 1.21 5.23 52.30 5.40 46.90
Nov 3 Late 1.20 5.09 50.90 4.10 46.80
Dec 1 Late 1.09 4.55 45.50 2.90 42.60
Dec 2 Late 0.97 3.96 39.60 0.90 38.70
Dec 3 Late 0.83 3.51 38.70 0.70 37.90
Jan 1 Late 0.70 3.04 30.40 0.60 29.70
Average 683.30 339.30 401.60
Table 10 Estimations of CWR and IWRs for cotton in the PRB for historical period (1991-2020)
Month ET0 (mm/d)
ACCESS-
ESM-1.5		 ACCESS-
CM-2		 BCC-
CSM
2-MR		 EC-
EARTH3		 EC-
EARTH
3 VEG		 INMCM4
-8		 INMCM5
-0		 MPI-
ESM1-
2-HR		 MRI-
ESM2-0		 NorESM2
-MM		 Baseline period
SSP245 scenario
Jan 4.40 4.47 4.49 4.42 4.44 4.43 4.42 4.41 4.40 4.44 4.44
Feb 5.42 5.56 5.47 5.45 5.51 5.55 5.62 5.39 5.39 5.46 5.54
Mar 6.69 6.86 6.67 6.73 6.72 6.95 6.92 6.59 6.69 6.83 6.80
Apr 7.85 7.89 7.78 7.86 7.81 7.87 7.92 7.72 7.75 7.89 7.92
May 7.16 7.14 7.07 7.11 7.09 6.96 6.90 7.06 7.09 7.08 7.29
Jun 5.62 5.87 5.16 5.71 5.76 5.56 5.50 5.57 5.82 5.56 5.52
Jul 4.25 4.63 4.02 4.23 4.27 4.21 4.21 4.12 6.02 4.21 4.31
Aug 3.94 4.11 3.86 3.94 3.96 4.02 3.94 3.89 3.83 3.95 4.02
Sept 4.58 4.56 4.22 4.23 4.25 4.31 4.20 4.27 4.23 4.22 4.40
Oct 5.00 4.95 4.69 4.36 4.38 4.43 4.37 4.43 4.42 4.53 4.61
Nov 4.55 4.62 4.53 4.13 4.14 4.25 4.20 4.21 4.20 4.38 4.33
Dec 4.18 4.19 4.25 4.03 4.03 4.03 4.07 4.03 4.07 4.14 4.11
Average 5.30 5.40 5.18 5.19 5.20 5.22 5.19 5.14 5.33 5.23 5.27
SSP585 scenario
Jan 4.46 4.50 4.52 4.45 4.47 4.48 4.46 4.42 4.47 4.50 4.46
Feb 5.49 5.61 5.44 5.53 5.57 5.58 5.68 5.43 5.49 5.55 5.49
Mar 6.73 6.89 6.77 6.80 6.83 6.93 7.02 6.77 6.75 6.90 6.73
Apr 7.93 7.97 7.90 7.98 7.92 7.96 7.94 6.56 7.82 7.96 7.93
May 7.14 7.21 7.02 6.74 7.14 7.01 6.97 7.02 7.09 7.16 7.14
Jun 5.75 5.97 5.19 5.69 5.77 5.64 5.61 5.53 5.86 5.67 5.75
Jul 4.31 4.71 4.06 4.26 4.26 4.28 4.20 5.86 4.34 4.28 4.31
Aug 3.96 4.19 3.89 3.99 4.01 4.05 3.97 3.93 3.88 3.99 3.96
Sept 4.59 4.61 4.25 4.28 4.28 4.35 4.23 4.28 4.27 4.29 4.59
Oct 5.01 5.02 4.74 4.42 4.45 4.47 4.41 4.45 4.46 4.60 5.01
Nov 4.59 4.58 4.58 4.21 4.21 4.31 4.28 4.29 4.24 4.47 4.59
Dec 4.20 4.23 4.29 4.07 4.09 4.15 4.11 4.08 4.08 4.24 4.20
Average 5.35 5.46 5.22 5.20 5.25 5.27 5.24 5.22 5.23 5.30 5.35
Table 11 Projected estimations of monthly ET0 using different CMIP6 GCMs in the PRB under SSP245 and SSP585 scenarios in the 2050s
Month ET0 (mm/d)
ACCESS-
ESM-1.5		 ACCESS-
CM-2		 BCC-
CSM2-
MR		 EC-
EARTH3		 EC-
EARTH3 VEG		 INMCM4-8 INMCM5-0 MPI-
ESM1-
2-HR		 MRI-
ESM2-0		 NorESM2-MM Baseline period
SSP245 scenario
Jan 4.47 4.55 4.47 4.48 4.53 4.45 4.50 4.44 4.44 4.46 4.44
Feb 5.51 5.64 5.47 5.62 5.67 5.57 5.60 5.44 5.46 5.57 5.54
Mar 6.75 6.91 6.77 6.9 6.87 6.94 7.01 6.68 6.74 6.88 6.80
Apr 7.88 8.01 7.91 7.98 7.95 8.00 7.59 7.84 7.81 7.93 7.92
May 7.19 7.27 7.07 7.17 7.18 7.02 6.94 7.15 7.11 7.18 7.29
Jun 5.77 6.01 5.21 5.81 5.77 5.65 5.58 5.58 5.93 5.74 5.52
Jul 4.34 4.74 4.07 4.29 4.32 4.24 4.20 4.16 4.40 4.28 4.31
Aug 3.95 4.26 3.89 4.01 3.99 4.04 3.96 3.92 3.90 3.98 4.02
Sept 4.58 4.62 4.21 4.28 4.29 4.33 4.22 4.27 4.32 4.27 4.40
Oct 5.03 5.02 4.74 4.38 4.38 4.47 4.39 4.46 4.51 4.55 4.61
Nov 4.61 4.66 4.59 4.17 4.16 4.29 4.22 4.28 4.22 4.44 4.33
Dec 4.27 4.27 4.26 4.06 4.08 4.12 4.09 4.08 4.06 4.22 4.11
Average 5.36 5.5 5.22 5.26 5.27 5.26 5.19 5.19 5.24 5.29 5.27
SSP585 scenario
Jan 4.63 4.82 4.69 4.65 4.72 4.65 4.61 4.59 4.65 4.69 4.63
Feb 5.68 6.02 5.74 5.91 5.94 5.83 5.77 5.62 5.72 5.83 5.68
Mar 7.06 7.25 6.98 7.17 7.21 7.19 7.15 6.85 7.02 7.14 7.06
Apr 8.23 8.33 8.08 8.21 8.20 8.17 8.15 7.97 8.05 8.19 8.23
May 7.37 7.52 7.23 7.36 7.35 7.16 7.14 7.27 7.29 7.35 7.37
Jun 5.91 6.26 5.37 6.01 5.99 5.79 5.76 5.59 5.97 5.91 5.91
Jul 4.42 5.03 4.13 4.44 4.44 4.38 4.39 4.23 4.42 4.45 4.42
Aug 4.04 4.55 3.96 4.09 4.11 4.12 4.03 4.02 3.95 4.08 4.04
Sept 4.64 4.98 4.34 4.39 4.40 4.42 4.29 4.33 4.36 4.38 4.64
Oct 5.13 5.27 4.86 4.50 4.50 4.61 4.51 4.50 4.64 4.68 5.13
Nov 4.86 4.97 4.71 4.30 4.34 4.51 4.39 4.37 4.40 4.64 4.86
Dec 4.46 4.55 4.44 4.21 4.23 4.27 4.17 4.22 4.27 4.39 4.46
Average 5.54 5.80 5.38 5.44 5.45 5.42 5.36 5.30 5.39 5.48 5.54
Table 12 Projected estimations of monthly ET0 using different CMIP6 GCMs in the PRB under SSP245 and SSP585 scenarios in the 2080s
Fig. 5 Projected percentage change in ET0 using different CMIP6 GCMs in n the PRB under SSP245 (a and b) and SSP585 (c and d) scenarios in the 2050s and 2080s
CMIP6 GCM Scenario Average CWR (mm)
2050s 2080s
Cotton Sorghum Sugarcane Soybean Wheat Cotton Sorghum Sugarcane Soybean Wheat
ACCESS-ESM-1.5 SSP245 702.80 419.30 2123.20 534.30 551.90 708.30 425.50 2144.90 536.60 559.90
SSP585 703.30 421.10 2133.40 535.30 554.80 726.50 435.90 2199.20 547.90 576.80
ACCESS-CM-2 SSP245 710.80 426.00 2166.70 539.70 559.80 720.70 430.60 2193.50 548.40 566.10
SSP585 713.00 426.70 2177.80 542.70 560.80 761.80 453.10 2295.30 581.10 596.90
BCC-CSM2-MR SSP245 673.60 426.10 2076.50 502.80 555.80 674.20 425.10 2069.00 501.80 556.10
SSP585 678.90 427.80 2086.60 506.40 559.10 694.40 437.70 2131.70 517.00 573.50
EC-EARTH3 SSP245 644.60 411.40 2079.50 482.60 531.90 647.00 414.60 2099.20 458.30 536.10
SSP585 649.00 412.80 2073.50 486.80 535.50 659.10 425.80 2144.40 496.10 552.30
EC-EARTH3 VEG SSP245 646.30 411.70 2080.70 484.80 532.70 648.90 416.20 2099.20 485.90 538.30
SSP585 650.60 414.90 2093.10 488.50 537.70 654.20 420.80 2133.40 492.60 546.70
INMCM4-8 SSP245 664.70 412.60 2106.50 496.90 536.80 673.00 418.60 2128.00 501.50 544.10
SSP585 673.80 420.20 2126.50 500.70 546.80 695.20 436.40 2191.10 513.60 567.30
INMCM5-0 SSP245 655.20 417.30 2102.50 485.40 540.20 658.30 419.90 2093.30 487.70 543.40
SSP585 662.60 420.70 2119.30 490.20 545.30 673.50 427.60 2156.80 498.20 555.30
MPI-ESM1-2-HR SSP245 654.80 414.10 2070.90 490.50 536.40 658.50 417.70 2084.90 493.00 541.50
SSP585 667.50 417.20 2052.80 503.40 540.80 666.40 425.30 2109.80 498.50 552.30
MRI-ESM2-0 SSP245 659.00 411.40 2113.40 497.50 533.90 656.30 412.90 2092.40 494.50 536.90
SSP585 653.70 413.40 2086.20 490.90 537.40 672.30 424.30 2138.80 505.70 553.80
NorESM2-MM SSP245 666.90 421.60 2103.60 497.40 548.10 671.80 424.00 2120.00 501.30 552.20
SSP585 676.40 426.00 2123.20 505.00 555.10 693.60 438.30 2181.30 516.80 572.30
Table 13 Projected CWRs of five crops using different CMIP6 GCMs in the PRB under SSP245 and SSP585 scenarios in the 2050s and 2080s
Fig. 6 Projected percentage change in CWRs of five crops using different CMIP6 GCMs in the PRB under SSP245 (a and b) and SSP585 (c and d) scenarios in the 2050s and 2080s
CMIP6 GCM Scenario Average IWR (mm)
2050s 2080s
Cotton Sorghum Sugarcane Soybean Wheat Cotton Sorghum Sugarcane Soybean Wheat
ACCESS-ESM-1.5 SSP245 453.90 395.90 1755.20 319.60 430.20 443.50 311.90 1763.90 296.40 447.00
SSP585 397.30 259.00 1713.00 293.80 392.00 392.40 275.40 1720.90 270.10 418.30
ACCESS-CM-2 SSP245 416.30 286.20 1724.10 289.80 422.70 404.90 316.30 1724.00 243.00 451.00
SSP585 374.20 290.00 1683.10 218.30 409.70 350.90 266.00 1718.90 224.70 381.90
BCC-CSM2-MR SSP245 499.80 408.80 1732.50 317.20 538.70 452.50 402.00 1686.90 264.50 533.30
SSP585 495.80 411.20 1757.10 310.30 542.60 497.50 417.70 1759.10 302.20 553.80
ECEARTH3 SSP245 352.60 353.20 1680.90 172.90 468.20 348.80 354.60 1682.90 163.10 471.20
SSP585 346.90 356.30 1655.30 168.60 470.60 286.70 341.20 1659.00 113.10 438.60
ECEARTH3 VEG SSP245 360.10 350.10 1686.50 176.90 470.80 356.20 356.80 1680.90 173.00 475.70
SSP 585 365.60 355.20 1695.00 182.20 478.10 305.40 352.70 1665.60 117.50 453.30
INMCM4-8 SSP245 454.70 314.00 1808.30 322.00 438.20 475.30 329.90 1814.30 317.30 455.40
SSP585 472.70 349.40 1834.50 314.60 477.40 502.90 380.40 1884.30 329.50 511.30
INMCM5-0 SSP245 445.30 370.80 1812.80 277.00 493.80 428.10 373.30 1767.50 253.40 495.00
SSP585 431.80 376.10 1802.20 248.50 500.80 396.30 354.80 1770.90 219.50 473.10
MPI-ESM1-2-HR SSP245 389.20 378.10 1702.60 196.20 495.80 399.20 379.70 1666.90 205.10 504.50
SSP585 396.30 382.40 1642.30 202.20 503.20 364.20 396.60 1646.50 162.60 503.90
MRI-ESM2-0 SSP245 397.30 337.20 1739.20 238.90 458.80 364.20 310.40 1710.80 210.90 416.70
SSP585 371.90 344.10 1710.70 208.00 461.70 417.80 334.60 1774.40 248.70 463.30
NorESM2-MM SSP245 380.60 379.10 1664.60 185.30 493.80 380.40 371.10 1709.90 181.30 493.90
SSP585 389.30 371.50 1698.40 197.70 493.50 383.10 381.40 1733.70 178.10 505.20
Table 14 Projected IWRs of five crops using different CMIP6 GCMs in the PRB under SSS245 and SSP585 scenarios in the 2050s and 2080s
Fig. 7 Projected percentage change in IWRs using different CMIP6 GCMs in the PRB under SSP245 (a and b) and SSP585 (c and d) scenarios in the 2050s and 2080s
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