Assessing reference evapotranspiration changes during the 21st century in some semi-arid regions of Iran

Document Type : Research Paper

Authors

1 Ph.D. Student

2 Tarbiat Modares University

3 Ferdowsi University of Mashhad

Abstract

Changes of ET0 and its atmospheric control were investigated in six stations located in West Iran during the period of 1966-2100. The outputs related to HadCM3 under B2 emission scenario were downscaled through SDSM. The results revealed that ET0, as averaged across all stations, would increase by 5.12, 7.33 and 11.01% respectively over the early, middle and late 21st century relative to the baseline period (1966-2010). The results obtained through Mann-Kendall test revealed that there was an insignificant positive trend in ET0 at the level of 95% over 1966-2010 in most of the surveyed sites. This increasing trend could be explained by an upward trend in temperature and solar radiation vs. a negative trend of relative humidity within the study area. The increasing trend in ET0 will likely be significant during 2011-2040 and 2071-2100 while insignificant during 2041-2070. The occurrence of ET0 upward trend in the future is most likely due to temperature rise. 

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References

Allen, R. G., Pereira, L. S., Raes, D. and Smith, M. (1998). Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300, 6541.
Bannayan, M., Sanjani, S., Alizadeh, A., Lotfabadi, S. S. and Mohamadian, A. (2010). Association between climate indices, aridity index, and rainfed crop yield in northeast of Iran. Field Crops Res., 118(2), 105-114.
Chu, J., Xia, J., Xu, C.-Y. and Singh, V. (2010). Statistical downscaling of daily mean temperature. pan evaporation and precipitation for climate change scenarios in Haihe River, China. Theor. Appl. Climatol., 99(1-2), 149-161.
Dai, A. (2011). Drought under global warming: a review. Wiley Interdiscip. Rev. Clim. Change, 2(1), 45-65.
Dettori, M., Cesaraccio, C., Motroni, A., Spano, D. and Duce, P. (2011). Using CERES-Wheat to simulate durum wheat production and phenology in Southern Sardinia, Italy. Field Crops Res., 120(1), 179-188.
Dinpashoh, Y., Jhajharia, D., Fakheri-Fard, A., Singh, V. P. and Kahya, E. (2011). Trends in reference crop evapotranspiration over Iran. J. Hydrol., 399(3), 422-433.
Fowler, H., Blenkinsop, S. and Tebaldi, C. (2007). Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. Int. J. Climatol., 27(12), 1547-1578.
Ghorbani, M. (2013). Nature of Iran and Its Climate The Economic Geology of Iran (pp. 1-44): Springer Netherlands.
Gulizia, C. and Camilloni, I. (2015). Comparative analysis of the ability of a set of CMIP3 and CMIP5 global climate models to represent precipitation in South America. Int. J. Climatol., 35(4), 583-595.
Hashmi, M. Z., Shamseldin, A. Y. and Melville, B. W. (2011). Comparison of SDSM and LARS-WG for simulation and downscaling of extreme precipitation events in a watershed. Stochastic Environmental Research and Risk Assessment, 25(4), 475-484.
Hassan, Z., Shamsudin, S. and Harun, S. (2014). Application of SDSM and LARS-WG for simulating and downscaling of rainfall and temperature. Theor. Appl. Climatol., 116(1-2), 243-257.
Huang, J., Zhang, J., Zhang, Z., Sun, S. and Yao, J. (2012). Simulation of extreme precipitation indices in the Yangtze River basin by using statistical downscaling method (SDSM). Theor. Appl. Climatol., 108(3-4), 325-343.
Hundecha, Y. and Bárdossy, A. (2008). Statistical downscaling of extremes of daily precipitation and temperature and construction of their future scenarios. Int. J. Climatol., 28(5), 589-610.
IPCC. (2013). Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change Retrieved from Cambridge, United Kingdom and New York, NY, USA.
Khan, M. S., Coulibaly, P. and Dibike, Y. (2006). Uncertainty analysis of statistical downscaling methods. J. Hydrol., 319(1), 357-382.
Kistler, R., Collins, W., Saha, S., White, G., Woollen, J., Kalnay, E., Chelliah, M., Ebisuzaki, W., Kanamitsu, M. and Kousky, V. (2001). The NCEP-NCAR 50-year reanalysis: Monthly means CD-ROM and documentation. Bull. Am. Meteorol. Soc., 82(2), 247-267.
Li, Z., Zheng, F.-L. and Liu, W.-Z. (2012). Spatiotemporal characteristics of reference evapotranspiration during 1961–2009.  and its projected changes during 2011–2099 on the Loess Plateau of China. Agr. Forest Meteorol., 154, 147-155.
Liu, Z., Xu, Z., Charles, S. P., Fu, G. and Liu, L. (2011). Evaluation of two statistical downscaling models for daily precipitation over an arid basin in China. Int. J. Climatol., 31(13), 2006-2020.
Nouri, M., Homaee, M. and Bybordi, M. (2014). Quantitative Assessment of LNAPL Retention in Soil Porous Media. Soil Sediment Contam., 23(8), 801-819.
Peel, M. C., Finlayson, B. L. and McMahon, T. A. (2007). Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci. Discussions, 4(2), 439-473.
Penman, H. (1956). Evaporation: an introductory survey. Neth. J. Agric. Sci, 4(1), 9-29.
Sadeghi, A., Kamgar-Haghighi, A., Sepaskhah, A., Khalili, D. and Zand-Parsa, S. (2002). Regional classification for dryland agriculture in southern Iran. J. Arid Environ., 50(2), 333-341.
Samadi, S., Wilson, C. A. and Moradkhani, H. (2013). Uncertainty analysis of statistical downscaling models using Hadley Centre Coupled Model. Theor. Appl. Climatol., 114(3-4), 673-690.
Sood, A. and Smakhtin, V. (2015). Global hydrological models: a review. Hydrolog. Sci. J., 60(4), 549-565.
Tabari, H., Aeini, A., Talaee, P. H. and Some'e, B. S. (2012). Spatial distribution and temporal variation of reference evapotranspiration in arid and semi‐arid regions of Iran. Hydrol. Process., 26(4), 500-512.
Tabari, H. and Talaee, P. H. (2011a). Analysis of trends in temperature data in arid and semi-arid regions of Iran. Global Planet. Change, 79(1), 1-10.
Tabari, H. and Talaee, P. H. (2011b). Temporal variability of precipitation over Iran: 1966–2005. J. Hydrol., 396(3), 313-320.
Talaee, P. H., Some’e, B. S. and Ardakani, S. S. (2014). Time trend and change point of reference evapotranspiration over Iran. Theor. Appl. Climatol., 116(3-4), 639-647.
UNEP. (1992). World atlas of desertification. London: United Nations Environment Programme.
Wang, W., Shao, Q., Peng, S., Xing, W., Yang, T., Luo, Y., Yong, B. and Xu, J. (2012a). Reference evapotranspiration change and the causes across the Yellow River Basin during 1957–2008 and their spatial and seasonal differences. Water Resour. Res., 48(5).
Wang, W., Xing, W., Shao, Q., Yu, Z., Peng, S., Yang, T., Yong, B., Taylor, J. and Singh, V. P. (2013). Changes in reference evapotranspiration across the Tibetan Plateau: Observations and future projections based on statistical downscaling. J. Geophys. Res. Atmospheres, 118(10), 4049-4068.
Wang, X., Yang, T., Shao, Q., Acharya, K., Wang, W. and Yu, Z. (2012b). Statistical downscaling of extremes of precipitation and temperature and construction of their future scenarios in an elevated and cold zone. Stochastic Environmental Research and Risk Assessment, 26(3), 405-418.
Wilby, R. and Dawson, C. (2007). SDSM 4.2–A decision support tool for the assessment of regional climate change impacts, User Manual. Department of Geography, Lancaster University, UK.
Wilby, R., Dawson, C., Murphy, C., O’Connor, P. and Hawkins, E. (2014). The Statistical DownScaling Model-Decision Centric (SDSM-DC): conceptual basis and applications. Clim. Res., 61(3), 259-276.
Wilby, R. L. and Dawson, C. W. (2012). The statistical downscaling model: insights from one decade of application. Int. J. Climatol., 33(7), 1707-1719.
Wilby, R. L. and Dawson, C. W. (2013). The statistical downscaling model: insights from one decade of application. Int. J. Climatol., 33(7), 1707-1719.
Wilby, R. L., Dawson, C. W. and Barrow, E. M. (2002). SDSM—a decision support tool for the assessment of regional climate change impacts. Environ. Model. Software, 17(2), 145-157.
Wilby, R. L. and Harris, I. (2006). A framework for assessing uncertainties in climate change impacts: Low‐flow scenarios for the River Thames, UK. Water Resour. Res., 42(2).
Xu, C.-Y. and Singh, V. (2005). Evaluation of three complementary relationship evapotranspiration models by water balance approach to estimate actual regional evapotranspiration in different climatic regions. J. Hydrol., 308(1), 105-121.
Yang, T., Li, H., Wang, W., Xu, C. Y. and Yu, Z. (2012). Statistical downscaling of extreme daily precipitation, evaporation, and temperature and construction of future scenarios. Hydrol. Process., 26(23), 3510-3523.
Yue, S., Pilon, P., Phinney, B. and Cavadias, G. (2002). The influence of autocorrelation on the ability to detect trend in hydrological series. Hydrol. Process., 16(9), 1807-1829.
Yue, S. and Wang, C. (2002). The influence of serial correlation on the Mann–Whitney test for detecting a shift in median. Advances in Water Resources, 25(3), 325-333.
Iranian Journal of Soil and Water Research
Volume 48, Issue 2
August 2017
Pages 241-252

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