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ICCCFS
  2011



   Global Irrigation Requirement 
    under the scenario of SRA1B
                 Zhentaoi Cong1o, Jun Liul1, Tingju Zhu2 r
                     E d  t  y    u r  s    o g a n  h e     e


1 Department of Hydraulic Engineering, Tsinghua University, China
2 International Food Policy Research Institute
Background

Irrigation is by far the largest single user of water globally,
accounting for approximately 70% of global water withdrawal and
90% of global consumptive water use (FAO, 2011)
Irrigated land accounts for no more than 20% of the world's
cultivated land, but contributes about 40% of all agricultural
production and 60% of cereal production (FAO, 2011).
Assessing irrigation water requirement under climate change is
essential for understanding potential future water crisis and food
security.
Given the potential impacts of climate change on irrigation water
uses, estimating climate change impacts on irrigation water
requirements is a critical step towards evaluating how much
water will be needed for irrigation in the future (Döll, 2002).
Framework

IPCC Scenarios + GCMs                       Rn, T, RH, u (monthly)


        FAO-Penman-Monteith


                              ET0 – Reference Evapotranspiration


        SAGE               FAO-Kc

                                      Crop water requirement
                                           ETc = Kc*ET0

       Pe – Effective Precipitation

                                      Net Irrigation Requirement
                                              IR = ETc-Pe
IPCC Scenarios and GCMs

          Scenarios
1PTO2X      CO2 concentration increase 1% /year, until DOUBLE; constant thereafter.
1PTO4X      CO2 concentration increase 1%/year, until QUADRUPLE; constant thereafter.
20C3M       Greenhouse gasses increasing as observed through the 20th century.
COMMIT      Atmospheric burdens of long‐lived greenhouse gasses are held fixed at AD2000 levels.
 PICTL      Constant pre‐industrial levels of greenhouse gasses.
            Rapid economic growth; Population peaks in mid‐century and declines thereafter; New 
SRA1B
            and more efficient technologies; Balanced energy sources.
            Heterogeneous world: Continuously increasing population;  Regionally oriented 
 SRA2 
            economic growth(more fragmented and slower).
            Convergent world: Same population as SRA1B; Rapid changes in economic 
 SRB1       structures(towards service and information); Reductions in material intensity; Clean and 
            resource‐efficient technologies.


 Baseline: 20C3M scenario, 1961-1990
 Climate change scenario: SRA1B scenario, 2046-2065
IPCC Scenarios and GCMs

Scenarios




            Source: Figure 10.4 in Meehl, et al. (2007)
IPCC Scenarios and GCMs

             GCMs
                      BCC‐CM1        ECHAM5/MPI‐OM
1.125°×1.125°
    BCCR                BCM2         MRI‐CGCM2.3.2
                                                           4°×3°
                    CGCM3_1‐T47         AOM 4x3          NASA, USA
                    CGCM3_1‐T63       GISS ModelE‐H 
                     CNRM‐CM3         GISS ModelE‐R
                       ECHO‐G            CCSM3
                    CSIRO Mark 3.0        PCM
                    CM2.0 ‐ AOGCM     MIROC3.2‐HI       1.125°×1.125°
                                                            Japan
     4°×5°            INMCM3.0       MIROC3.2‐MED
      INM                                              2.8125°×2.8125°
                      IPSL‐CM4          HadCM3              Japan
                     FGOALS1.0_g        HadGEM1
Method to calculate ET0

FAO Penman-Monteith equation



Where:
– ET0 : reference evapotranspiration [mm day-1]
– T : mean daily air temperature [°C]
– Rn : net radiation [MJ m-2 day-1]
– G : soil heat flux density [MJ m-2 day-1]
– es : saturation vapor pressure [kPa]
– ea : actual vapor pressure [kPa]
– Δ : slope of temperature-pressure curve [kPa °C-1]
– γ : psychrometric constant [kPa °C-1]
– u: wind speed [m/s]
Change of ET0




         5 GCMs   MIROC3_2-HI




         BCM2         INMCM3




          AOM     MIROC3_2-MED
What caused the increasing of ET0 ?


                                                     R




                                                    RH




The change of ET0 is similar to
                                                    T
the air temperature in the future.




                                                    U
Land use
SAGE
  the Center for Sustainability And the Global Environment
  University of Wisconsin-Madison
  Global Land Use Database, 1992, 18 crops, 0.5°× 0.5°




            Wheat                            Maize




             Rice                            Cotton
Köppen climate classification


Kc in FAO
Kc in FAO
Crop water requirement




Change of ETc of all crop in 5 GCMs   Change of ETc of maize in 5 GCMs




 Change of ETc of rice in 5 GCMs      Change of ETc of wheat in 5 GCMs
Change of ETc




 Region     MIROC3_2‐HI   BCM2     INMCM3    AOM     MIROC3_2‐MED

 China          +4.9%      +2.6%     +7.8%   +4.7%        +5.4%

  USA          +12.6%      +8.8%    +13.6%   +4.9%       +14.7%

 India          +4.4%      +1.9%     +1.2%   +1.6%         ‐3.2%

Australia      +12.4%      +6.5%     +8.9%   +6.8%        +5.4%

 Europe        +10.9%      +6.7%     +8.8%   +3.7%       +17.9%

 Russia         +8.5%      +4.6%     +9.7%   +0.5%        +8.7%

 Global         +8.6%      +5.2%     +7.7%   +4.4%        +7.5%
Change of P




         5 GCMs   MIROC3_2-HI




          BCM2      INMCM3




          AOM     MIROC3_2-MED
Change of P




 Region     MIROC3_2‐HI   BCM2     INMCM3    AOM      MIROC3_2‐MED

 China         +12.1%      +5.0%     +4.3%    +1.8%        +6.6%

  USA           ‐2.5%      ‐2.2%     ‐5.0%    +5.8%        ‐11.3%

 India          +3.7%      +9.4%    +13.0%   +11.4%       +14.5%

Australia       ‐2.0%      +4.1%     ‐7.1%    ‐9.9%        +7.6%

Europe          +5.8%      ‐0.8%     ‐0.7%    +0.5%        +4.4%

 Russia        +13.0%      +4.4%     +8.4%    +8.1%       +10.5%

 Global         +3.1%      +1.6%     +1.8%    +3.7%        +3.0%
Precipitation vs ETc

Effective rainfall (USDA)



Time step: 10 days
Random Matching with the ETc
Change of Irrigation Requirement (IR)




         5 GCMs                   MIROC3_2-HI




          BCM2                      INMCM3




          AOM                     MIROC3_2-MED
Change of Irrigation Requirement (IR)




  Region     MIROC3_2‐HI   BCM2     INMCM3    AOM      MIROC3_2‐MED

  China          +3.7%      +0.6%   +10.1%     +1.4%        +5.7%

   USA          +30.6%     +23.4%   +27.9%     +6.4%       +33.6%

  India         +12.8%      ‐1.1%     ‐5.7%    ‐1.6%       ‐10.5%

 Australia      +15.0%      +3.5%    +8.3%     +7.8%        +1.9%

 Europe         +11.2%     +17.1%   +22.0%    +13.9%       +31.3%

  Russia         +6.2%     +12.9%   +22.7%     +3.8%        +5.8%

  Global        +14.8%      +8.5%   +11.6%     +5.0%       +12.1%
IR‐Irrigation Requirement


ETc            China:
               ETc - increasing
               P - inceasing
               IR - not obviously

P
               USA, Mediterranean area
               ETc - increasing
               P - deceasing
               IR - increasing obviously
IR
Change of Irrigation Requirement (IR)




    Doll, 2002, Figure1(C), 2020, ECHAM4
Change of Irrigation Requirement (IR)



                         Food production of countries, FAO

      Wheat




       Rice


                       It is a big challenge for future world food security.




       Maize
Change of IR in China




         5 GCMs         MIROC3_2-HI




          BCM2            INMCM3




          AOM           MIROC3_2-MED
IR‐Irrigation Requirement




Change of IR in SRA1B 2046-2065 with MIROC3.2_HI
Conclusions


Trends of ET0, ETc, P and IR under climate changes depend
on different GCMs and different regions.

ET0 and ETc would increase all over the world due to global
warming.

IR would significantly increase in the Mediterranean area and
in USA due to the increase in ET0 and the decrease in P.
Outlook



More GCMs and RCM;

Coupling the crop growth model and hydrological model to
predict the irrigation requirement under climate changes;

To consider the trend of precipitation frequency.
ICCCFS
 2011




         E d i t    y o u r   s l o g a n   h e r e




                   congzht@tsinghua.edu.cn

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Cong Zhentao — Global irrigation requirement under the scenario of sra1 b

  • 1. ICCCFS 2011 Global Irrigation Requirement  under the scenario of SRA1B Zhentaoi Cong1o, Jun Liul1, Tingju Zhu2 r E d t y u r s o g a n h e e 1 Department of Hydraulic Engineering, Tsinghua University, China 2 International Food Policy Research Institute
  • 2. Background Irrigation is by far the largest single user of water globally, accounting for approximately 70% of global water withdrawal and 90% of global consumptive water use (FAO, 2011) Irrigated land accounts for no more than 20% of the world's cultivated land, but contributes about 40% of all agricultural production and 60% of cereal production (FAO, 2011). Assessing irrigation water requirement under climate change is essential for understanding potential future water crisis and food security. Given the potential impacts of climate change on irrigation water uses, estimating climate change impacts on irrigation water requirements is a critical step towards evaluating how much water will be needed for irrigation in the future (Döll, 2002).
  • 3. Framework IPCC Scenarios + GCMs Rn, T, RH, u (monthly) FAO-Penman-Monteith ET0 – Reference Evapotranspiration SAGE FAO-Kc Crop water requirement ETc = Kc*ET0 Pe – Effective Precipitation Net Irrigation Requirement IR = ETc-Pe
  • 4. IPCC Scenarios and GCMs Scenarios 1PTO2X CO2 concentration increase 1% /year, until DOUBLE; constant thereafter. 1PTO4X  CO2 concentration increase 1%/year, until QUADRUPLE; constant thereafter. 20C3M  Greenhouse gasses increasing as observed through the 20th century. COMMIT  Atmospheric burdens of long‐lived greenhouse gasses are held fixed at AD2000 levels. PICTL  Constant pre‐industrial levels of greenhouse gasses. Rapid economic growth; Population peaks in mid‐century and declines thereafter; New  SRA1B and more efficient technologies; Balanced energy sources. Heterogeneous world: Continuously increasing population;  Regionally oriented  SRA2  economic growth(more fragmented and slower). Convergent world: Same population as SRA1B; Rapid changes in economic  SRB1 structures(towards service and information); Reductions in material intensity; Clean and  resource‐efficient technologies. Baseline: 20C3M scenario, 1961-1990 Climate change scenario: SRA1B scenario, 2046-2065
  • 5. IPCC Scenarios and GCMs Scenarios Source: Figure 10.4 in Meehl, et al. (2007)
  • 6. IPCC Scenarios and GCMs GCMs BCC‐CM1 ECHAM5/MPI‐OM 1.125°×1.125° BCCR BCM2 MRI‐CGCM2.3.2 4°×3° CGCM3_1‐T47 AOM 4x3 NASA, USA CGCM3_1‐T63 GISS ModelE‐H  CNRM‐CM3 GISS ModelE‐R ECHO‐G  CCSM3 CSIRO Mark 3.0 PCM CM2.0 ‐ AOGCM MIROC3.2‐HI 1.125°×1.125° Japan 4°×5° INMCM3.0 MIROC3.2‐MED INM 2.8125°×2.8125° IPSL‐CM4 HadCM3 Japan FGOALS1.0_g HadGEM1
  • 7. Method to calculate ET0 FAO Penman-Monteith equation Where: – ET0 : reference evapotranspiration [mm day-1] – T : mean daily air temperature [°C] – Rn : net radiation [MJ m-2 day-1] – G : soil heat flux density [MJ m-2 day-1] – es : saturation vapor pressure [kPa] – ea : actual vapor pressure [kPa] – Δ : slope of temperature-pressure curve [kPa °C-1] – γ : psychrometric constant [kPa °C-1] – u: wind speed [m/s]
  • 8. Change of ET0 5 GCMs MIROC3_2-HI BCM2 INMCM3 AOM MIROC3_2-MED
  • 9. What caused the increasing of ET0 ? R RH The change of ET0 is similar to T the air temperature in the future. U
  • 10. Land use SAGE the Center for Sustainability And the Global Environment University of Wisconsin-Madison Global Land Use Database, 1992, 18 crops, 0.5°× 0.5° Wheat Maize Rice Cotton
  • 13. Crop water requirement Change of ETc of all crop in 5 GCMs Change of ETc of maize in 5 GCMs Change of ETc of rice in 5 GCMs Change of ETc of wheat in 5 GCMs
  • 14. Change of ETc Region MIROC3_2‐HI BCM2 INMCM3 AOM MIROC3_2‐MED China +4.9% +2.6% +7.8% +4.7% +5.4% USA +12.6% +8.8% +13.6% +4.9% +14.7% India +4.4% +1.9% +1.2% +1.6% ‐3.2% Australia +12.4% +6.5% +8.9% +6.8% +5.4% Europe +10.9% +6.7% +8.8% +3.7% +17.9% Russia +8.5% +4.6% +9.7% +0.5% +8.7% Global +8.6% +5.2% +7.7% +4.4% +7.5%
  • 15. Change of P 5 GCMs MIROC3_2-HI BCM2 INMCM3 AOM MIROC3_2-MED
  • 16. Change of P Region MIROC3_2‐HI BCM2 INMCM3 AOM MIROC3_2‐MED China +12.1% +5.0% +4.3% +1.8% +6.6% USA ‐2.5% ‐2.2% ‐5.0% +5.8% ‐11.3% India +3.7% +9.4% +13.0% +11.4% +14.5% Australia ‐2.0% +4.1% ‐7.1% ‐9.9% +7.6% Europe +5.8% ‐0.8% ‐0.7% +0.5% +4.4% Russia +13.0% +4.4% +8.4% +8.1% +10.5% Global +3.1% +1.6% +1.8% +3.7% +3.0%
  • 17. Precipitation vs ETc Effective rainfall (USDA) Time step: 10 days Random Matching with the ETc
  • 18. Change of Irrigation Requirement (IR) 5 GCMs MIROC3_2-HI BCM2 INMCM3 AOM MIROC3_2-MED
  • 19. Change of Irrigation Requirement (IR) Region MIROC3_2‐HI BCM2 INMCM3 AOM MIROC3_2‐MED China +3.7% +0.6% +10.1% +1.4% +5.7% USA +30.6% +23.4% +27.9% +6.4% +33.6% India +12.8% ‐1.1% ‐5.7% ‐1.6% ‐10.5% Australia +15.0% +3.5% +8.3% +7.8% +1.9% Europe +11.2% +17.1% +22.0% +13.9% +31.3% Russia +6.2% +12.9% +22.7% +3.8% +5.8% Global +14.8% +8.5% +11.6% +5.0% +12.1%
  • 20. IR‐Irrigation Requirement ETc China: ETc - increasing P - inceasing IR - not obviously P USA, Mediterranean area ETc - increasing P - deceasing IR - increasing obviously IR
  • 21. Change of Irrigation Requirement (IR) Doll, 2002, Figure1(C), 2020, ECHAM4
  • 22. Change of Irrigation Requirement (IR) Food production of countries, FAO Wheat Rice It is a big challenge for future world food security. Maize
  • 23. Change of IR in China 5 GCMs MIROC3_2-HI BCM2 INMCM3 AOM MIROC3_2-MED
  • 24. IR‐Irrigation Requirement Change of IR in SRA1B 2046-2065 with MIROC3.2_HI
  • 25. Conclusions Trends of ET0, ETc, P and IR under climate changes depend on different GCMs and different regions. ET0 and ETc would increase all over the world due to global warming. IR would significantly increase in the Mediterranean area and in USA due to the increase in ET0 and the decrease in P.
  • 26. Outlook More GCMs and RCM; Coupling the crop growth model and hydrological model to predict the irrigation requirement under climate changes; To consider the trend of precipitation frequency.
  • 27. ICCCFS 2011 E d i t y o u r s l o g a n h e r e congzht@tsinghua.edu.cn