Regional impacts of climate change on irrigation water demands

Hydrological Processes

Volumn 27, Issue 20, 2013, Pages 2918-2933

  Rehana, S ^a   Mujumdar, P P ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Climate change; Evapotranspiration; GCM; Irrigation demands; Statistical downscaling

Indexed keywords

CANONICAL CORRELATION ANALYSIS; EVAPOTRANSPIRATION MODELING; GCM; INTERDISCIPLINARY RESEARCH; IRRIGATION MANAGEMENT SYSTEMS; IRRIGATION WATER REQUIREMENTS; REFERENCE EVAPOTRANSPIRATION; STATISTICAL DOWNSCALING;

CLIMATE CHANGE; CLIMATE MODELS; CROPS; EVAPOTRANSPIRATION; RAIN; SUN; WATER SUPPLY;

IRRIGATION;

BASIN MANAGEMENT; CANONICAL ANALYSIS; CLIMATE CHANGE; CLIMATE EFFECT; DOWNSCALING; EVAPOTRANSPIRATION; GENERAL CIRCULATION MODEL; GEOSTATISTICS; HYDROLOGICAL MODELING; HYDROLOGICAL RESPONSE; IRRIGATION; PRECIPITATION (CLIMATOLOGY); RIVER BASIN; WATER DEMAND;

BHADRA RESERVOIR; INDIA; KARNATAKA;

EID: 84883291219     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.9379     Document Type: Article

References (46)

1. Allen RG, Pereira LS, Raes D, Smith M. 1998. Crop Evapotranspiration Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56, ISBN 92-5-104219-5, Food and Agriculture Organization of the United Nations, Rome.
2. Anandhi A, Srinivas VV, Kumar DN, Nanjundiah RS. 2009. Role of predictors in downscaling surface temperature to river basin in India for IPCC SRES scenarios using support vector machine. International Journal of Climatology 29(4): 583-603.
3. Angstrom A. 1924. Solar and terrestrial radiation. Quarterly Journal of the Royal Meteorological Society 50: 121-126.
4. Barnett TP, Preisendorfer RW. 1987. Origins and levels of monthly and seasonal forecast skill for United States air temperature determined by canonical correlation analysis. Monthly Weather Review 115: 1825-1850.
5. Barnston AG. 1994. Linear statistical short-term climate predictive skill in the Northern Hemisphere. Journal of Climate 7: 1513-1564.
6. Brown RA, Rosenberg NJ. 1999. Climate change impacts on the potential productivity of corn and winter wheat in their primary United States growing regions. Climate Change 41: 73-107.
7. Busuioc A, Von Storch H. 1996. Changes in the winter precipitation in Romania and its relation to the large-scale circulation. Tellus, Series A: Dynamic Meteorology and Oceanography 48(4): 538-552.
8. Davy RJ, Woods MJ, Russell CJ, Coppin PA. 2010. Statistical Downscaling of Wind Variability from Meteorological Fields. Boundary-Layer Meteorology. DOI: 10.1007/s10546-009-9462-7.
9. De Silva CS, Weatherhead EK, Knox JW, Rodriguez-Diaz JA. 2007. Predicting the impacts of climate change-a case study on paddy irrigation water requirements in Sri Lanka. Agricultural Water Management 93(1-2): 19-29.
10. Easterling WE, Crosson PR, Rosenberg NJ, McKenney MS, Katz LA, Lemon KM. 1993. Agricultural impacts of and response to climate change in the Missouri-Iowa-Nebraska- Kansas (MINK) region. Climate Change 24: 23-61.
11. Elgaali E, Garcia LA, Ojima DS. 2007. High resolution modeling of the regional impacts of climate change on irrigation water demand. Climate Change 84: 441-461.
12. Ghosh S, Mujumdar PP. 2006. Future Rainfall Scenario over Orissa with GCM Projections by Statistical Downscaling. Current Science 90(3): 396-404.
13. Ghosh S, Mujumdar PP. 2007. Nonparametric methods for modeling GCM and scenario uncertainty in drought assessment. Water Resources Research 43: W07405. DOI: 10.1029/2006WR005351.
14. Graham NE, Michaelsen J, Barnett TP. 1987. An investigation of the El Nino-Southern Oscillation cycle with statistical models. 1. Predictor field characteristics. Journal of Geophysical Research 92: 14 251-14 270.
15. Gyalistras D, von Storch H, Fischlin A, Beniston M. 1994. Linking GCM-simulated climatic changes to ecosystem models: case studies of statistical downscaling in the Alps. Climate Research 4(3): 167-189.
16. Hargreaves GH. 1994. Simplified coefficients for estimating monthly solar radiation in North America and Europe. Dept. Paper, Dept. Biol. and Img. Engrg. Utah State Univ.: Logan, Utah.
17. Hargreaves GH, Samani ZA. 1982. Estimating potential evapotranspiration. Journal of Irrigation Drainage Engineering, ASCE 108(3): 25-230.
18. Harmsen EW, Miller NL, Schlegel NJ, Gonzalez JE. 2009. Seasonal climate change impacts on evapotranspiration, precipitation deficit and crop yield in Puerto Rico. Agricultural Water Management 96: 1085-1095.
19. Huth R. 2005. Downscaling humidity variables. International Journal of Climatology 25: 243-250.
20. Intergovernmental Panel on Climate Change (IPCC). 2007. Climate Change. The Physical Science Basis-Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Solomon S et al. (ed). Cambridge Univ. Press: New York; 2007.
21. Juneng L, Tangang FT. 2008. Level and source of predictability of seasonal rainfall anomalies in Malaysia using canonical correlation analysis. International Journal of Climatology 28: 1255-1267.
22. Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Leetmaa A, Reynolds R, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo KC, Ropelewski C, Wang J, Jenne R, Joseph D. 1996. The NCEP/NCAR 40-year reanalysis project. Bulletin of the American Meteorological Society 77(3): 437-471.
23. Karl TR, Wang WC, Schlesinger ME, Knight RW, Portman D. 1990. A method of relating general circulation model simulation climate to the observed local climate. Part I: Seasonal Statistics. Journal of Climate 3: 1053-1079.
24. Kittel TGF, Rosenbloom NA, Painter TH, Schimel DS. 1995. VEMAP Modeling Participants, The VEMAP integrated database for modeling United States ecosystem/vegetation sensitivity to climate change. Journal of Biogeography 22: 857-862.
25. Liu S, Mo X, Lin Z, Xu Y, Ji J, Wen G, Richey J. 2010. Crop yield response to climate change in the Huang-Huai-Hai plain of China. Agricultural Water Management 97(8): 1195-1209.
26. 2 on crop evapotranspiration in a Mediterranean area. Agricultural Water Management 97(9): 1287-1292.
27. Maeda EE, Pellikka PKE, Clark BJF, Siljander M. 2011. Prospective changes in irrigation water requirements caused by agricultural expansion and climate changes in the eastern arc mountains of Kenya. Journal of Environmental Management 92(3): 982-993.
28. MATLAB. 2004. Statistics Toolbox. The Math Works Inc. http://www.mathworks.in
29. Meenu R, Rehana S, Mujumdar PP. 2011. Assessment of hydrologic impacts of climate change in Tunga-Bhadra basin, India with HEC-HMS and SDSM. Hydrological Processes, Accepted Article. DOI: 10.1002/hyp.9220.
30. Michael AM. 1978. Irrigation Theory and Practice. Vikas Publishing House Pvt Ltd: New Delhi.
31. Mpelasoka FS, Mullan AB, Heerdegen RG. 2001. New Zealand climate change information derived by multivariate statistical and artificial neural network approaches. International Journal of Climatology 21: 1415-1433.
32. Mulcahy KA, Clarke KC. 1995. What shape are we in? The display of map projection distortion for global change research. In Proceedings of GIS/LIS '95. American Society of Photogrammetry and Remote Sensing: Bethesda, Md; 175-181.
33. New M, Hulme M. 2000. Representing uncertainty in climate change scenarios: A Monte Carlo approach. Integrated Assessment 1: 203-213.
34. Parry ML, Rosenzweig C, Iglesias A, Livermore M, Fischer G. 2004. Effects of climate change on global food production under SRES emissions and socio-economic scenarios. Global Environmental Change 14(1): 53-67.
35. Raje D, Mujumdar PP. 2009. A conditional random field based downscaling method for assessment of climate change impact on multisite daily precipitation in the Mahanadi basin. Water Resources Research 45(10): W10404. DOI: 10.1029/2008WR007487.
36. Rodriguez Diaz JA, Weatherhead EK, Knox JW, Camacho E. 2007. Climate change impacts on irrigation water requirements in the Guadalquivir river basin in Spain. Regional Environmental Change 7: 149-159.
37. Rosenzweig C, Parry ML. 1994. Potential impact of climate change on world food supply. Nature 367: 133-138.
38. Shahid S. 2011. Impact of climate change on irrigation water demand of dry season Boro rice in northwest Bangladesh. Climate Change 105: 433-453.
39. Simonovic SP, Davies EGR. 2006. Are we modeling impacts of climate change properly? Hydrological Processes 20: 431-433.
40. Simonovic SP, Li L. 2003. Methodology for assessment of climate change impacts on large-scale flood protection system. Journal of Water Resources Planning and Management 129(5): 361-371.
41. Singh B, Maayar ME, André P, Bryant CR, Thouez JP. 1998. Impacts of a GHG-induced climate change on crop yields: Effects of acceleration in maturation, moisture stress, and optimal temperature. Climate Change 38: 51-86.
42. Torres AF, Walker WR, McKee M. 2011. Forecasting daily potential evapotranspiration using machine learning and limited climatic data. Agricultural Water Management 98(4): 553-562.
43. Von Storch H, Zorita E, Cubasch U. 1993. Downscaling of global climate change estimates to regional scales: an application to Iberian rainfall in wintertime. Journal of Climate 6: 1161-1171.
44. Wilby RL, Harris IA. 2006. A framework for assessing uncertainties in climate change impacts: low-flow scenarios for the river Thames, UK. Water Resources Research 42: W02419. DOI: 10.1029/2005WR004065.
45. Wilby RL, Charles SP, Zorita E, Timbal B, Whetton P, Mearns LO. 2004. The guidelines for use of climate scenarios developed from statistical downscaling methods. Supporting material of the Intergovernmental Panel on Climate Change (IPCC), prepared on behalf of Task Group on Data and Scenario Support for Impacts and Climate Analysis (TGICA) (
46. Yano T, Aydin M, Haraguchi T. 2007. Impact of climate change on irrigation demand and crop growth in a Mediterranean environment of Turkey. Sensors 7: 2297-2315.