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Estimating future daily pan evaporation for Qatar using the Hargreaves model and statistically downscaled global climate model projections under RCP climate change scenarios

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Abstract

Evaporation plays a significant role in the hydrologic cycle, and thus the estimation of evaporative demand is crucial for water resources management and irrigation scheduling. Evaporation is subjected to the effects of global climate change, which can be quantified by the representative concentration pathway (RCP) scenarios. However, forecasts of future daily pan evaporation under RCP climate change scenarios using a temperature-based pan evaporation model and downscaled temperature forecasts for an arid region (e.g., Qatar) have rarely been reported in the literature. The present study provides estimations of future daily pan evaporation in Qatar under four RCP climate change scenarios for the period January 1, 2018 to December 31, 2050. Modelled maximum and minimum daily temperature data from a general circulation model (GCM) within the Coupled Model Intercomparison Project Phase 5 (CMIP5) experimental framework are extracted and downscaled using the Quantiles-matching approach. A pan evaporation model coupling the Hargreaves potential evapotranspiration model and a Class A pan coefficient model is calibrated against observed pan evaporation data and utilized to estimate future daily pan evaporation in the study area using downscaled daily temperature. Various measures of fit are employed to evaluate the performance of the downscaling approach and pan evaporation model, and the results show that the performance of the downscaling approach and pan evaporation method are both satisfactory. The study also finds that the pan evaporation increased fastest under the RCP60 scenario, and the average increase in pan evaporation was roughly 0.01095 mm/day per year. The study provides datasets for future pan evaporation for the period between 2018 and 2050 that can be useful for the development of numerical hydrologic models, management of water resources, and irrigation scheduling.

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References

  • Alblewi B, Gharabaghi B, Alazba AA, Mahboubi AA (2015) Evapotranspiration models assessment under hyper-arid environment. Arab J Geosci 8(11):9905–9912

    Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) FAO Irrigation and drainage paper No. 56. Rome: Food and Agriculture Organization of the United Nations 56(97):e156. http://www.climasouth.eu/sites/default/files/FAO%2056.pdf

  • Aouissi J, Benabdallah S, Chabaâne ZL, Cudennec C (2016) Evaluation of potential evapotranspiration assessment methods for hydrological modelling with SWAT—application in data-scarce rural Tunisia. Agric Water Manag 174:39–51

    Google Scholar 

  • Azorin-Molina C, Vicente-Serrano SM, Sanchez-Lorenzo A, McVicar TR, Morán-Tejeda E, Revuelto J, Tomas-Burguera M (2015) Atmospheric evaporative demand observations, estimates and driving factors in Spain (1961–2011). J Hydrol 523:262–277

    Google Scholar 

  • Donohue RJ, McVicar TR, Roderick ML (2010) Assessing the ability of potential evaporation formulations to capture the dynamics in evaporative demand within a changing climate. J Hydrol 386(1):186–197

    Google Scholar 

  • Dunne JP, John JG, Adcroft AJ, Griffies SM, Hallberg RW, Shevliakova E et al (2012) GFDL’s ESM2 global coupled climate–carbon earth system models. Part I: Physical formulation and baseline simulation characteristics. J Clim 25(19):6646–6665

    Google Scholar 

  • Elnesr MN, Alazba AA, Amin MT (2011) Modified Hargreaves’ method as an alternative to the Penman-Monteith method in the kingdom of Saudi Arabia. Aust J Basic Appl Sci 5(6):1058–1069

    Google Scholar 

  • Er-Raki S, Chehbouni A, Khabba S, Simonneaux V, Jarlan L, Ouldbba A, Rodriguez JC, Allen R (2010) Assessment of reference evapotranspiration methods in semi-arid regions: can weather forecast data be used as alternate of ground meteorological parameters. J Arid Environ 74(12):1587–1596

    Google Scholar 

  • Friedlingstein P, Meinshausen M, Arora VK, Jones CD, Anav A, Liddicoat SK, Knutti R (2014) Uncertainties in CMIP5 climate projections due to carbon cycle feedbacks. J Clim 27(2):511–526

    Google Scholar 

  • Fu G, Charles SP, Yu J (2009) A critical overview of pan evaporation trends over the last 50 years. Clim Chang 97(1-2):193–214

    Google Scholar 

  • García M, Raes D, Jacobsen SE, Michel T (2007) Agroclimatic constraints for rainfed agriculture in the Bolivian Altiplano. J Arid Environ 71(1):109–121

    Google Scholar 

  • Hargreaves GH, Samani ZA (1985) Reference crop evapotranspiration from temperature. Appl Eng Agric 1(2):96–99

    Google Scholar 

  • Issaka AI, Paek J, Abdella K, Pollanen M, Huda AKS, Kaitibie S, Goktepe I, Haq MM, Moustafa AT (2017) Analysis and calibration of empirical relationships for estimating evapotranspiration in Qatar: case study. J Irrig Drain Eng 143(2):05016013

    Google Scholar 

  • Lee KH (2010) Relative comparison of the local recalibration of the temperature-based evapotranspiration equation for the Korea Peninsula. J Irrig Drain Eng 136(9):585–594

    Google Scholar 

  • Lennartz F, Kloss S (2018) Evaluating Class A Pan–Based Estimates of Daily Reference Evapotranspiration with Respect to Irrigation Scheduling on Sandy Soils in a Hot Arid Environment. J Irrig Drain Eng 144(7):04018015

    Google Scholar 

  • Li S, Kang S, Zhang L, Zhang J, Du T, Tong L, Ding R (2016) Evaluation of six potential evapotranspiration models for estimating crop potential and actual evapotranspiration in arid regions. J Hydrol 543:450–461

    Google Scholar 

  • Liu Q, McVicar TR (2012) Assessing climate change induced modification of Penman potential evaporation and runoff sensitivity in a large water-limited basin. J Hydrol 464:352–362

    Google Scholar 

  • Liu W, Sun F (2016) Assessing estimates of evaporative demand in climate models using observed pan evaporation over China. J Geophys Res-Atmos 121(14):8329–8349

    Google Scholar 

  • Luo Y, Chang X, Peng S, Khan S, Wang W, Zheng Q, Cai X (2014) Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts. Agric Water Manag 136:42–51

    Google Scholar 

  • Michelangeli PA, Vrac M, Loukos H (2009) Probabilistic downscaling approaches: Application to wind cumulative distribution functions. Geophys Res Lett 36(11):1–6. https://doi.org/10.1029/2009GL038401

  • Mossad A, Alazba AA (2016) imulation of temporal variation for reference evapotranspiration under arid climate. Arab J Geosci 9(5):386

    Google Scholar 

  • Nassery H, Salami H (2016) Identifying vulnerable areas of aquifer under future climate change (case study: Hamadan aquifer, West Iran). Arab J Geosci 9(8):518

    Google Scholar 

  • Ouyang F, Lü H, Zhu Y, Zhang J, Yu Z, Chen X, Li M (2014) Uncertainty analysis of downscaling methods in assessing the influence of climate change on hydrology. Stoch Env Res Risk A 28(4):991–1010

    Google Scholar 

  • Pelosi A, Medina H, Villani P, D’Urso G, Chirico GB (2016) Probabilistic forecasting of reference evapotranspiration with a limited area ensemble prediction system. Agric Water Manag 178:106–118

    Google Scholar 

  • Pereira AR, Nova NAV, Pereira AS, Barbieri V (1995) A model for the class A pan coefficient. Agric For Meteorol 76(2):75–82

    Google Scholar 

  • Priestley CHB, Taylor RJ (1972) On the assessment of surface heat flux and evaporation using large-scale parameters. Mon Weather Rev 100(2):81–92

    Google Scholar 

  • Qiao X, Zhao C, Shao Q, Hassan M (2018) Structural characterization of corn stover lignin after hydrogen peroxide presoaking prior to ammonia fiber expansion pretreatment. Energy Fuel 32(5):6022–6030

    Google Scholar 

  • Senay GB, Friedrichs M, Singh RK, Velpuri NM (2016) Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin. Remote Sens Environ 185:171–185

    Google Scholar 

  • Shiri J, Kişi Ö (2011) Application of artificial intelligence to estimate daily pan evaporation using available and estimated climatic data in the Khozestan Province (South Western Iran). J Irrig Drain Eng 137(7):412–425

    Google Scholar 

  • Shirkhani H, Seidou O, Mohammadian A, Qiblawey H (2015) Projection of significant wave height in a coastal area under RCPs climate change scenarios. Nat Hazards Rev 17(1):04015016

    Google Scholar 

  • Shuttleworth WJ, Wallace JS (1985) Evaporation from sparse crops-an energy combination theory. Q J R Meteorol Soc 111(469):839–855

    Google Scholar 

  • Silva D, Meza FJ, Varas E (2010) Estimating reference evapotranspiration (ETo) using numerical weather forecast data in central Chile. J Hydrol 382(1-4):64–71

    Google Scholar 

  • Singh D, Gupta RD, Jain SK (2015) Assessment of impact of climate change on water resources in a hilly river basin. Arab J Geosci 8(12):10625–10646

    Google Scholar 

  • Ugwu AI, Ugwuanyi JU (2011) Performance assessment of Hargreaves model in estimating solar radiation in Abuja using minimum climatological data. Int J Phys Sci 6(31):7285–7290

    Google Scholar 

  • Woldemeskel FM, Sharma A, Sivakumar B, Mehrotra R (2016) Quantification of precipitation and temperature uncertainties simulated by CMIP3 and CMIP5 models. J Geophys Res-Atmos 121(1):3–17

    Google Scholar 

  • Wu IP (1997) A simple evapotranspiration model for Hawaii: the Hargreaves model.

  • Yan X, Mohammadian A (2017) Numerical modeling of vertical buoyant jets subjected to lateral confinement. J Hydraul Eng 143(7):04017016

    Google Scholar 

  • Yan X, Mohammadian A (2019a) Numerical modeling of multiple inclined dense jets discharged from moderately spaced ports. Water 11:1–15. https://doi.org/10.3390/w11102077

    Article  Google Scholar 

  • Yan X, Mohammadian A (2019b) Evolutionary modeling of inclined dense jets discharged from multiport diffusers. J Coast Res 36(2):362–371

    Google Scholar 

  • Yan X, Mohammadian A (2019c) Multigene genetic-programming-based models for initial dilution of laterally confined vertical buoyant jets. J Mar Sci Eng 7(8):246

    Google Scholar 

  • Yan X, Mohammadian A (2020a) Forecasting daily reference evapotranspiration for Canada using the Penman–Monteith model and statistically downscaled global climate model projections. Alex Eng J 59(2):883–889

    Google Scholar 

  • Yan X, Mohammadian A (2020b) Evolutionary prediction of multiple vertical buoyant jets in stationary ambient water. Desalin Water Treat 178:41–52. https://doi.org/10.5004/dwt.2020.24938

    Article  Google Scholar 

  • Yan X, Mohammadian A (2020c) Prediction of a rosette dense jet group in crossflow ambient conditions using multi-gene genetic programming. Desalin Water Treat 190(2020):440–448

    Google Scholar 

  • Yan X, Mohammadian A (2020d) Evolutionary prediction of the trajectory of a rosette momentum jet group in flowing currents. J Coast Res, in press. https://doi.org/10.2112/JCOASTRES-D-19-00142.1

  • Yan X, Mohammadian A, Chen X (2019) Three-dimensional numerical simulations of buoyant jets discharged from a rosette-type multiport diffuser. J Mar Sci Eng 7(11):409 1-15

    Google Scholar 

  • Yan X, Mohammadian A, Chen X (2020a) Numerical modeling of inclined plane jets in a linearly stratified environment. Alex Eng J:1–11. https://doi.org/10.1016/j.aej.2020.05.023

  • Yan X, Mohammadian A, Rennie CD (2020b) Numerical modeling of flow and local scour around pipeline in steady currents using moving mesh with masked elements. J Hydraul Eng 146(5):06020005

    Google Scholar 

  • Yan X, Ghodoosipour B, Mohammadian A (2020c) Three-dimensional numerical study of multiple vertical buoyant jets in stationary ambient water. J Hydraul Eng 146(7):04020049

    Google Scholar 

  • Yan X, Rennie CD, Mohammadian A (2020d). Numerical modeling of local scour at a submerged weir with a downstream slope using a coupled moving-mesh and masked-element approach. Int J Sediment Res (Accepted).

  • Yan X, Mohammadian A, Rennie CD (2020e) Numerical modeling of local scour due to submerged wall jets using a strict vertex-based, terrain conformal, moving-mesh technique in OpenFOAM. Int J Sediment Res 35(3):237–248

    Google Scholar 

  • Yan X, Rennie CD, and Mohammadian A (2020f) A three-dimensional numerical study of flow characteristics in strongly curved channel bends with different side slopes. Environ Fluid Mech (Accepted).

  • Yang Y, Cui Y, Luo Y, Lyu X, Traore S, Khan S, Wang W (2016) Short–term forecasting of daily reference evapotranspiration using the P–M model and public weather forecasts. Agric Water Manag 177:329–339

  • Zhao C, Qiao X, Cao Y, Shao Q (2017) Application of hydrogen peroxide presoaking prior to ammonia fiber expansion pretreatment of energy crops. Fuel 205:184–191

    Google Scholar 

  • Zhao C, Qiao X, Shao Q, Hassan M, Ma Z, Yao L (2020) Synergistic effect of hydrogen peroxide and ammonia on lignin. Ind Crop Prod 146:112177

    Google Scholar 

  • Zhou MC, Ishidaira H, Hapuarachchi HP, Magome J, Kiem AS, Takeuchi K (2006) Estimating potential evapotranspiration using Shuttleworth–Wallace model and NOAA-AVHRR NDVI data to feed a distributed hydrological model over the Mekong River basin. J Hydrol 327(1-2):151–173

    Google Scholar 

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Acknowledgments

The authors would like to acknowledge Dr. Hamidreza Shirkhani for his assistance in collecting the GCM data. We would like thank the editor and the anonymous reviewers for their careful reading of our manuscript, and their insightful comments and suggestions.

Funding

This work was funded by the Natural Sciences and Engineering Research Council of Canada (NSERC Discovery Grants). The first author was a recipient of a scholarship from the China Scholarship Council.

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Authors and Affiliations

  1. Department of Civil Engineering, University of Ottawa, 161 Louis Pasteur, Ottawa, Ontario, K1N6N5, Canada

    Xiaohui Yan & Abdolmajid Mohammadian

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  1. Xiaohui Yan
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  2. Abdolmajid Mohammadian
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Correspondence to Xiaohui Yan.

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Responsible Editor: Broder J. Merkel

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Yan, X., Mohammadian, A. Estimating future daily pan evaporation for Qatar using the Hargreaves model and statistically downscaled global climate model projections under RCP climate change scenarios. Arab J Geosci 13, 938 (2020). https://doi.org/10.1007/s12517-020-05944-0

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  • DOI: https://doi.org/10.1007/s12517-020-05944-0

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