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The Effect of Climate Change on Future Reference Evapotranspiration in Different Climatic Zones of Iran

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Abstract

Evapotranspiration can be considered as an indicator in evaluating the effects of climate change. It is the sole factor with the capability of concurrently balancing the ecosystem energy and water fluxes. Reference evapotranspiration (ETo) is the amount of water evaporated from reference crop that is affected by climatic parameters. The aim of this study was to assess ETo during the period of 2020–2049 in various climatic zones of Iran (including Tabriz, Bushehr, Isfahan, Sanandaj and Urmia). Climatic parameters including relative humidity, wind speed, Sunshine hours, atmospheric pressure, maximum and minimum temperatures were utilized for calculating ETo using FAO Penman–Monteith equation. The NCEP data and HADCM3 model data (under scenario A2 and B2) were used for prediction of future climatic parameters during 2020–2049. Statistical down scaling model was used as a hybrid regression model as well as a stochastic weather data generator. The course period was between 1986 and 2015 that was regarded for calibration and evaluation of the model. Subsequently, evapotranspiration was estimated using the model outputs in the FAO Penman–Monteith equation. Results indicated that the simulated data by the model has the same accuracy and validity under both scenarios A2 and B2. Results showed that in the studied areas, ETo tend to have an increasing trend in upcoming years. In scenario A2, ETo will increase about 16.81, 0.137, 17.52, 9.46 and 2.57 mm year−1 in Tabriz, Bushehr, Isfahan, Sanandaj and Urmia stations, respectively. Also our results represented that ETo will increase about 7.67, 6.52, 10.33, 7.73 and 1.99 mm year−1 in Tabriz, Bushehr, Isfahan, Sanandaj and Urmia stations, respectively based on the B2 scenario. Although no significant trend was observed in most of the climatic variables under A2 and B2 scenarios over the time period of 2020–2049, the ETo significantly increased during this period. Hence it could be concluded that ETo is a better indicator for describing the future climate change, compared to other climatic variables.

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References

  • Abbaspour, K. C., Faramarzi, M., Ghasemi, S. S., & Yang, H. (2009). Assessing the impact of climate change on water resources in Iran. Water Resources Research, 45, 10.

    Article  Google Scholar 

  • Allen, R., Pereira, L., Raes, D., & Smith, M. (1998). Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56, FAO-Food and Agriculture Organisation of the United Nations, Rome (http://www.fao.org/docrep) ARPAV (2000), La caratterizzazione climatica della Regione Veneto, Quaderni per. Geophysics, 156, 178.

    Google Scholar 

  • Ambas, V. T., & Baltas, E. (2012). Sensitivity analysis of different evapotranspiration methods using a new sensitivity coefficient. Global NEST Journal, 14(3), 335–343.

    Google Scholar 

  • Azizzadeh, M., & Javan, K. (2015). Analyzing trends in reference evapotranspiration in northwest part of Iran. Journal of Ecological Engineering, 16(2), 1–12.

    Article  Google Scholar 

  • Byun, K., & Hamlet, A. F. (2018). Projected changes in future climate over the Midwest and Great Lakes region using downscaled CMIP5 ensembles. International Journal of Climatology, 38(S1), e531–e553. https://doi.org/10.1002/joc.5388.

    Article  Google Scholar 

  • Cheval, S., Dumitrescu, A., & Birsan, M.-V. (2017). Variability of the aridity in the South-Eastern Europe over 1961–2050. CATENA, 151, 74–86.

    Article  Google Scholar 

  • Chu, J., Xia, J., Xu, C.-Y., & Singh, V. (2010). Statistical downscaling of daily mean temperature, pan evaporation and precipitation for climate change scenarios in Haihe River, China. Theoretical and Applied Climatology, 99(1–2), 149–161.

    Article  Google Scholar 

  • Dai, A. (2011). Drought under global warming: A review. Wiley Interdisciplinary Reviews Climate Change, 2(1), 45–65.

    Article  Google Scholar 

  • Devkota, L. P., & Gyawali, D. R. (2015). Impacts of climate change on hydrological regime and water resources management of the Koshi River Basin, Nepal. Journal of Hydrology Regional Studies, 4, 502–515.

    Article  Google Scholar 

  • Fowler, H. J., Blenkinsop, S., & Tebaldi, C. (2007). Linking climate change modelling to impacts studies: Recent advances in downscaling techniques for hydrological modelling. International Journal of Climatology, 27(12), 1547–1578.

    Article  Google Scholar 

  • Gulizia, C., & Camilloni, I. (2015). Comparative analysis of the ability of a set of CMIP3 and CMIP5 global climate models to represent precipitation in South America. International Journal of Climatology, 35(4), 583–595.

    Article  Google Scholar 

  • Kistler, R., Kalnay, E., Collins, W., Saha, S., White, G., Woollen, J., et al. (2001). The NCEP–NCAR 50-year reanalysis: Monthly means CD-ROM and documentation. Bulletin of the American Meteorological Society, 82(2), 247–268.

    Article  Google Scholar 

  • Li, Z., Zheng, F.-L., & 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. Agricultural and Forest Meteorology, 154, 147–155.

    Article  Google Scholar 

  • Mahmood, R., & Babel, M. S. (2014). Future changes in extreme temperature events using the statistical downscaling model (SDSM) in the trans-boundary region of the Jhelum river basin. Weather and Climate Extremes, 5, 56–66.

    Article  Google Scholar 

  • Nistor, M. M., Dezsi, Ş., Cheval, S., & Baciu, M. (2016a). Climate change effects on groundwater resources: A new assessment method through climate indices and effective precipitation in Beliş district, Western Carpathians. Meteorological Applications, 23(3), 554–561.

    Article  Google Scholar 

  • Nistor, M. M., Gualtieri, A. F., Cheval, S., Dezsi, Ş., & Boţan, V. E. (2016b). Climate change effects on crop evapotranspiration in the Carpathian Region from 1961 to 2010. Meteorological Applications, 23(3), 462–469.

    Article  Google Scholar 

  • Nistor, M.-M., & Mîndrescu, M. (2017). Climate change effect on groundwater resources in Emilia-Romagna region: An improved assessment through NISTOR-CEGW method. Quaternary International.

  • Nistor, M. M., & Porumb, G. C. G. (2015). How to compute the land cover evapotranspiration at regional scale? A spatial approach of Emilia-Romagna region. GEOREVIEW Scientific Annals of Stefan cel Mare University of Suceava Geography Series, 25(1), 38–53.

    Google Scholar 

  • Osman, Y. Z., & Abdellatif, M. E. (2016). Improving accuracy of downscaling rainfall by combining predictions of different statistical downscale models. Water Science, 30(2), 61–75.

    Article  Google Scholar 

  • Penman, H. (1956). Evaporation: An introductory survey. Netherlands Journal of Agricultural Science, 4, 9–29.

    Google Scholar 

  • Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall’s tau. Journal of the American Statistical Association, 63(324), 1379–1389.

    Article  Google Scholar 

  • Sood, A., & Smakhtin, V. (2015). Global hydrological models: A review. Hydrological Sciences Journal, 60(4), 549–565.

    Article  Google Scholar 

  • Stocker, T., Qin, D., Plattner, G., Tignor, M., Allen, S., Boschung, J., et al. (2013). IPCC, 2013: Summary for policymakers in climate change 2013: The physical science basis, contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge: Cambridge University Press.

    Google Scholar 

  • Tabari, H., Aeini, A., Talaee, P. H., & Some’e, B. S. (2012). Spatial distribution and temporal variation of reference evapotranspiration in arid and semi-arid regions of Iran. Hydrological Processes, 26(4), 500–512.

    Article  Google Scholar 

  • Thiel, H. A rank-invariant method of linear and polynomial regression analysis, Part 3. In Proceedings of Koninalijke Nederlandse Akademie van Weinenschatpen A, 1950 (Vol. 53, pp. 1397–1412).

  • Wang, W., Shao, Q., Peng, S., Xing, W., Yang, T., Luo, Y., et al. (2012). Reference evapotranspiration change and the causes across the Yellow River Basin during 1957–2008 and their spatial and seasonal differences. Water Resources Research, 48, 5.

    Google Scholar 

  • Wang, W., Xing, W., Shao, Q., Yu, Z., Peng, S., Yang, T., et al. (2013). Changes in reference evapotranspiration across the Tibetan Plateau: Observations and future projections based on statistical downscaling. Journal of Geophysical Research Atmospheres, 118(10), 4049–4068.

    Article  Google Scholar 

  • Wilby, R. L., & Dawson, C. W. (2013). The statistical downscaling model: Insights from one decade of application. International Journal of Climatology, 33(7), 1707–1719.

    Article  Google Scholar 

  • Wilby, R. L., Dawson, C. W., & Barrow, E. M. (2002). SDSM—a decision support tool for the assessment of regional climate change impacts. Environmental Modelling and Software, 17(2), 145–157.

    Article  Google Scholar 

  • Wilby, R. L., & Harris, I. (2006). A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames, UK. Water Resources Research, 42, 2.

    Article  Google Scholar 

  • Xu, C.-Y., & Singh, V. (2005). Evaluation of three complementary relationship evapotranspiration models by water balance approach to estimate actual regional evapotranspiration in different climatic regions. Journal of Hydrology, 308(1–4), 105–121.

    Article  Google Scholar 

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  1. Faculty Desert Studies, Semnan University, Semnan, Iran

    Fatemeh Cheshmberah & Ali Asghar Zolfaghari

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  1. Fatemeh Cheshmberah
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  2. Ali Asghar Zolfaghari
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Correspondence to Ali Asghar Zolfaghari.

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Cheshmberah, F., Zolfaghari, A.A. The Effect of Climate Change on Future Reference Evapotranspiration in Different Climatic Zones of Iran. Pure Appl. Geophys. 176, 3649–3664 (2019). https://doi.org/10.1007/s00024-019-02148-w

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  • DOI: https://doi.org/10.1007/s00024-019-02148-w

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