Skip to main content

Advertisement

Log in

Spatiotemporal Analysis of Reference Evapotranspiration in Arid, Semiarid, Mediterranean and Very Humid Climates Considering Developed Models and Lysimeter Measurements

  • Original Paper
  • Published:
Water Conservation Science and Engineering Aims and scope Submit manuscript

Abstract

This study aims to present a spatial and temporal analysis of the reference evapotranspiration (ETo) based on the climate change alarms and collected lysimeter data. To this end, 50 years (1961–2010) meteorological data of 18 regions in Iran with various climates (arid, semiarid, Mediterranean and very humid) as well as recorded lysimeter measurements in these regions based on other researchers’ works, were collected. For estimating the ETo, 5 temperature-based, 5 radiation-based and 5 mass transfer–based models were selected with respect to better performance of them in different climates on the basis of past investigations and the results were compared with the Food and Agriculture Organization of the United Nations (FAO) Penman-Monteith (FPM). In addition, two new models were developed by replacing temperature difference with saturated vapour pressure deficit in Hargreaves-Samani (HS) equation named modified Hargreaves-Samani 3 (MHS3) and by replacing mean temperature with minimum temperature in Blaney-Criddle (BC) equation only for arid and semiarid regions named modified Blaney-Criddle (MBC). The results indicate the BC (Abtew (Ab)) is the superior model to estimate the ETo in arid (semiarid) region. While, modified Hargreaves-Samani 2 (MHS2) represents the best performance in Mediterranean and very humid regions. In addition, a spatiotemporal analysis of the best models for each region indicates that in some cases, error of the estimation has increased in recent 25 years which alarms a climate change for the region. As a result, all of the models present their best performance in the condition for which the variations of the meteorological parameters are less than 20% (with the exception of Jensen-Haise (JH), Makkink (Mk) and World Meteorological Organization (WMO) only for minimum temperature and wind speed) during 1961–1985 to 1986–2010. Meanwhile, the developed model (MBC) could estimate the ETo more accurate (RMSE = 0.69 mm day−1 and 0.77 mm day−1, respectively) in arid and semiarid regions. The lysimeter measurements confirm the reliability of the results for arid, semiarid and Mediterranean climates with a good R2 > 0.9000 (average) and with a fairly R2 = 0.7804 for very humid regions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Abtew W (1996) Evapotranspiration measurements and methoding for three wetland systems in South Florida. J Am Water Resour Assoc 32(3):465-473

    Article  Google Scholar 

  2. Ahmadi Adli R (2009) Determination of reference crop (gross) evapotranspiration in Moghan region. 10th Congress on Iran Soil Sciences. Karaj, Iran. Assessed date: 10 January 2007. http://www.civilica.com/Paper-ABYARI10-ABYARI10_082.html (In Persian)

  3. Ahmadi Adli R (2010) Determination of the best model for estimation reference crop (grass) evapotranspiration based on meteorological data in the Moghan area. 1st International Conference on Plant, Water, Soil, and Weather Modelling, Kerman, Iran. Assessed data: 23 November 2010. http://www.civilica.com/Paper-PWSWM01-PWSWM01_027.html (In Persian with English Abstract)

  4. Ahmadi SH, Fooladmand HR (2008) Spatially distributed monthly reference evapotranspiration derived from the calibration of Thornthwaite equation: a case study, south of Iran. Irrig Sci 26(4):303-312

    Article  Google Scholar 

  5. Akhavan S, Kanani E and Dehghanisanij H (2018) Assessment of different reference evapotranspiration models to estimate the actual evapotranspiration of corn (Zea mays L.) in a semiarid region (case study, Karaj, Iran). Theor Appl Climatol 1-17

  6. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration-guidelines for computing crop water requirements-FAO irrigation and drainage paper 56. FAO, Rome, 300, 6541

  7. Almorox J, Quej VH, Mari P (2015) Global performance ranking of temperature-based approaches for evapotranspiration estimation considering Köppen climate classes. J Hydrol 528:514-522

    Article  Google Scholar 

  8. Annabi Milani A (2011) Modification of some of emprical equations of estimation of reference evapotranspiration for Tabriz. 5th Conference on Management of Water and Soil in Iran. Kerman, Iran. Assessed date: 26 February 2011. http://www.civilica.com/Paper-NCWMSWRM05-NCWMSWRM05_310.html (In Persian)

  9. Annabi Milani A, Nayshabouri MR (2010) Determination of pan evaporation coefficient for class A pan and verification of Allen et al. equation for Tabriz. 1st International Conference on Plant, Water, Soil, and Weather Modelling, Kerman, Iran. Assessed data: 23 November 2010. http://www.civilica.com/Paper-PWSWM01-PWSWM01_027.html (In Persian with English Abstract)

  10. Ariza-Villaverde AB, Pavón-Domínguez P, Carmona-Cabezas R, de Ravé EG, Jiménez-Hornero FJ (2019) Joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the Guadalquivir river valley. Agric For Meteorol 278:107657

    Article  Google Scholar 

  11. Ashraf B, Yazdani R, Mousavi-Baygi M, Bannayan M (2014) Investigation of temporal and spatial climate variability and aridity of Iran. Theor Appl Climatol 118(1-2):35-46

    Article  Google Scholar 

  12. Azhar AH, Perera BJC (2011) Evaluation of reference evapotranspiration estimation methods under southeast Australian conditions. J Irrig Drain Eng 137(5):268-279

    Article  Google Scholar 

  13. Azhar AH, Masood M, Nabi G, Basharat M (2014) Performance evaluation of reference evapotranspiration equations under semiarid Pakistani conditions. Arab J Sci Eng 39(7):5509-5520

    Article  Google Scholar 

  14. Bagheri Harouni MH, Arshad S, Majnouni A, Morid S (2012) Comparison of remote sensing methods in Tabriz. Iran Remot Sens GIS 4(1):81-96

    Google Scholar 

  15. Bakhtiari B, Khanjani MJ, Alizadeh A, Kamali G (2001) Calculation of daily reference evapotranspiration and comparison of it with measured values using electronic lysimeter. 1st National Conference on Evaluation of Water Crisis Solutions, Zabol, Iran. Assessed data 7 May 2001. http://www.civilica.com/Paper-NCMWC01-NCMWC01_047.html (In Persian)

  16. Bakhtiari B, Liaghat AM, Khalili A, Khanjani MJ (2009) Evaluation of two compositional methods to estimate gross reference evapotranspiration in hourly scale (case study: Kerman climate). Sci Technol Agric Nat Resour 13(50):13-26 (In Persian)

    Google Scholar 

  17. Bakhtiari B, Ghahraman N, Liaghat AM, Hoogenboom G (2011) Evaluation of reference evapotranspiration models for a semiarid environment using lysimeter measurements. J Agric Sci Technol 13:223-237

    Google Scholar 

  18. Banimahd SA, Khalili D, Kamgar-Haghighi AA, Zand-Parsa S (2014) In-depth investigation of precipitation-based climate change and cyclic variation in different climatic zones. Theor Appl Climatol 116(3-4):565-583

    Article  Google Scholar 

  19. Bavand AA, Kaveh F, Ahmadi Adli R (2013) Calibration of FAO Penman-Monteith method for irrigation sceduling (case study: Moghan). 1st National Conference on Urmia Lake. Tabriz, Iran. Assessed date: 21 April 2013. http://www.civilica.com/Paper-AZARAN01-AZARAN01_024.html (In Persian)

  20. Bayatvarkeshi M, Zare Abyaneh H (2014) Validating Pan coefficient equations to estimate reference evapotranspiration in comparing with Lysimeter data of grass crop. Glob J Adv Pure Appl Sci 2:9-18

    Google Scholar 

  21. Blaney HF, Criddle WD (1950) Determining water requirements in irrigated areas from climatological and irrigation data. Soil conservation service technical paper 96, Soil conservation service. US Department of Agriculture, Washington, USA

  22. Caporusso NB, Rolim GDS (2015) Reference evapotranspiration models using different time scales in the Jaboticabal region of São Paulo, Brazil. Acta Sci Agron 37(1):1-9

    Article  Google Scholar 

  23. Dadivar M, Akbari M, Mohseni Movahed SAA, Khodshenas MA (2010) Comparison of accuracy of conventional models to estimate gross reference crop evapotranspiration by lysimeter. 3rd National Conference on Management of Irrigation and Drainage Networks. Ahvaz, Iran. Assessed date: 3 September 2010. http://www.civilica.com/Paper-IDNC03-IDNC03_163.html (In Persian)

  24. Dehbozorgi F, Sepaskhah AR (2012) Comparison of artificial neural networks and prediction models for reference evapotranspiration estimation in a semi-arid region. Arch Agron Soil Sci 58(5):477-497

    Article  Google Scholar 

  25. Djaman K, Sall M, Sow A, Manneh B, Irmak S (2019) Impact of air temperature and relative humidity measured over rice and grass canopies on Penman-Monteith reference evapotranspiration estimates. J Irrig Drain Eng 145(1):06018008

    Article  Google Scholar 

  26. Dong Q, Wang W, Shao Q, Xing W, Ding Y, Fu J (2020) The response of reference evapotranspiration to climate change in Xinjiang, China: historical changes, driving forces, and future projections. Int J Climatol 40(1):235-254

    Article  Google Scholar 

  27. Droogers P, Allen RG (2002) Estimating reference evapotranspiration under inprecise data conditions. Irrig Drain Syst 16:33-45

    Article  Google Scholar 

  28. Ebrahimi Pak NA (2011a) Determination of reference crop (gross) evapotranspiration using drainage lysimeter in Qazvin. 11th Conference on Irrigation and Reduction of evaporation, Kerman, Iran. Assessed data: 11 October 2011. http://www.civilica.com/Paper-ABYARI11-ABYARI11_065.html (In Persian)

  29. Ebrahimi Pak NA (2011b) Determination of reference crop (gross) evapotranspiration using drainage lysimeter in Shahrekord. 11th Conference on Irrigation and Reduction of evaporation, Kerman, Iran. Assessed data: 11 October 2011. http://www.civilica.com/Paper-ABYARI11-ABYARI11_066.html (In Persian)

  30. El-Shafie A, Abdin AE, Noureldin A, Taha MR (2009) Enhancing inflow forecasting model at Aswan high dam utilizing radial basis neural network and upstream monitoring stations measurements. Water Resour Manag 23(11):2289-2315

    Article  Google Scholar 

  31. El-Shafie A, Najah A, Alsulami HM, Jahanbani H (2014) Optimized neural network prediction model for potential evapotranspiration utilizing ensemble procedure. Water Resour Manag 28(4):947-967

    Article  Google Scholar 

  32. Esmaeili A (2009) Environmental change and fishery management in the northern Persian gulf. J Environ Plan Manag 52(8):1071-1081

    Article  Google Scholar 

  33. Fathalian F, Tabatabaei SH, Najafi P (2006) Evaluation of standand ASCE method with lysimeter data for estimation of reference evapotranspiration in Shahrekord. 1st Regional Conerence on Operation of Karoon and Zayandeh Roud Water Resources Cathments (Opportunities and Challenges). Shahrekord, Iran. Assessed date: 3 November 2006. http://www.civilica.com/Paper-COWR01-COWR01_222.html (In Persian)

  34. Fernandez MD, Bonachela S, Orgaz F, Thompson R, Lopez JC, Granados MR, Gallardo M, Fereres E (2010) Measurement and estimation of plastic greenhouse reference evapotranspiration in a Mediterranean climate. Irrig Sci 28(6):497-509

    Article  Google Scholar 

  35. Ferreira LB, da Cunha FF (2020) New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning. Agric Water Manag 234:106113

    Article  Google Scholar 

  36. Gavilan P, Ruiz N, Lozano D (2015) Daily forecasting of reference and strawberry crop evapotranspiration in greenhouses in a Mediterranean climate based on solar radiation estimates. Agric Water Manag 159:307-317

    Article  Google Scholar 

  37. Ghasemi A, Zare Abyaneh H (2007) Evaluation of ref-ET software in estimation of reference evapotranspiration. 9th Conference on Irrigation and Reduction of evaporation, Kerman, Iran. Assessed data: 11 October 2007. http://www.civilica.com/Paper-ABYARI09-ABYARI09_018.html (In Persian)

  38. Ghasemi A, Zare Abyaneh H, Amiri Chayjan R, Mohammadi K (2007) Evaluation of accuracy of artificial neural networks method and empirical equations in calculation of reference evapotranspiration in Hamedan. 9th Conference on Irrigation and Reduction of evaporation, Kerman, Iran. Assessed data: 11 October 2007. http://www.civilica.com/Paper-ABYARI09-ABYARI09_016.html (In Persian)

  39. Haghverdi A, Mohammadi K, Sabziparvar AA (2007) Estimation of evapotranspiration using multi layer perception neural networks, case study: Hamedan. 9th Conference on Irrigation and Reduction of evaporation, Kerman, Iran. Assessed data: 11 October 2007. http://www.civilica.com/Paper-ABYARI09-ABYARI09_005.html (In Persian)

  40. Hargreaves GL, Samani ZA (1985) Reference crop evapotranspiration from temperature. Appl Eng Agric 1(2):96-99

    Article  Google Scholar 

  41. Hashemi Gharmdarreh SA, Mostafazadeh B, Haydarpour M (2006) Evaluation of reference crop evapotranspiration methods for Esfahan. 2nd Conference on Water Resources Management, Esfahan, Iran. Assessed data: 27 February 2006. http://www.civilica.com/Paper-WRM02-WRM02_030.html (In Persian)

  42. Heydari MM, Tajamoli A, Ghoreishi SH, Darbe-Esfahani MK, Gilasi H (2015) Evaluation and calibration of Blaney-Criddle equation for estimating reference evapotranspiration in semiarid and arid regions. Environ Earth Sci 74(5):4053-4063

    Article  Google Scholar 

  43. Hozhabr H, Moazed H, Pourakbari S (2012) 3rd National Conferene on Comperehensive water resources management, sari, Iran. Assessed date: 17 July 2012. http://www.civilica.com/Paper-NCUIMWR03-NCUIMWR03_472.html (In Persian)

  44. Jensen ME, Haise HR (1963) Estimation of evapotranspiration from solar radiation. J Irrig Drain Div 89:15-41

    Google Scholar 

  45. Kisi O, Sanikhani H, Zounemat-Kermani M, Niazi F (2015) Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data. Comput Electron Agric 115:66-77

    Article  Google Scholar 

  46. Koocheki A, Nasiri M, Kamali GA, Shahandeh H (2006) Potential impacts of climate change on agroclimatic indicators in Iran. Arid Land Res Manag 20(3):245-259

    Article  Google Scholar 

  47. Kousari MR, Ahani H, Hendi-Zadeh R (2013) Temporal and spatial trend detection of maximum air temperature in Iran during 1960-2005. Glob Planet Chang 111:97-110

    Article  Google Scholar 

  48. Li S, Zhang L, Kang S, Tong L, Du T, Hao X, Zhao P (2015) Comparison of several surface resistance models for estimating crop evapotranspiration over the entire growing season in arid regions. Agric For Meteorol 208:1-15

    Article  Google Scholar 

  49. Mahringer W (1970) Verdunstungsstudien am Neusiedler See. Arch Met Geoph Biokl Ser B 18:1-20

    Article  Google Scholar 

  50. Makkink GF (1957) Testing the Penman formula by means of lysimeters. J Inst Water Eng 11:277-288

    Google Scholar 

  51. Malek E (1987) Comparison of alternative methods for estimating ETp and evaluation of advection in the Bajgah area, Iran. Agric For Meteorol 39(2):185-192

    Article  Google Scholar 

  52. Mallikarjuna P, Jyothy SA, Murthy DS, Reddy KC (2014) Performance of recalibrated equations for the estimation of daily reference evapotranspiration. Water Resour Manag 28(13):4513-4535

    Article  Google Scholar 

  53. Maroufi S, Ghafouri Kasbi M (2008) Evaloation and comparison of empirical formulae of potential crop evapotranspiration with lysimeter data. National Conference on water crisis in agriculture and natural resources Ray, Iran Assessed 25 September 2008. http://www.civilica.com/Paper-IAUSROCWC01-IAUSROCWC01_045.html (In Persian)

  54. Maule C, Helgason W, McGinn S, Cutforth H (2006) Estimation of standardized reference evapotranspiration on the Canadian prairies using simple models with limited weather data. Canad Biosyst Eng 48(1):1-11

    Google Scholar 

  55. Mohseni Movahed SAA, Akbari M (2013) Dimensional development and introduction of analytical - experimental equation to determine the reference crop evapotranspiration. 2nd International Conference on Plant, Water, Soil, and Weather Modelling, Kerman, Iran. Assessed data: 23 November 2013. http://www.civilica.com/Paper-PWSWM02-PWSWM02_180.html (In Persian with English Abstract)

  56. Molavi-Arabshahi M, Arpe K, Leroy SAG (2015) Precipitation and temperature of the southwest Caspian Sea region during the last 55 years: their trends and teleconnections with large-scale atmospheric phenomena. Int. J. Climatol. In Press. Assessed date: 14 SEP 2015. https://doi.org/10.1002/joc.4483

  57. Mosaedi A, Abyaneh HZ, Sough MG, Samadi SZ (2015) Quantifying changes in reconnaissance drought index using equiprobability transformation function. Water Resour Manag 29(8):2451-2469

    Article  Google Scholar 

  58. Mousavi Baygi M, Erfanian M, Sarmad M (2009) Estimation of reference crop evapotranspiration using the least meteorological data (case study: Khorasan Razavi Province). J Water Soil 23(1):91-99 (In Persian with English Abstract)

    Google Scholar 

  59. Mousavi R, Sabziparvar AA, Marofi S, Pak NAE, Heydari M (2015) Calibration of the Angström-Prescott solar radiation model for accurate estimation of reference evapotranspiration in the absence of observed solar radiation. Theor Appl Climatol 119(1-2):43-54

    Article  Google Scholar 

  60. Naderi N, Alizadeh A (2007) Comparison and modification of methods of determination of crop water requirement. 9th Conference on Irrigation and Reduction of evaporation, Kerman, Iran. Assessed data: 11 October 2007. http://www.civilica.com/Paper-ABYARI09-ABYARI09_034.html (In Persian)

  61. Naderi M, Raeisi E (2015) Climate change in a region with altitude differences and with precipitation from various sources, South-Central Iran. Theoretical and Applied Climatology. In Press. Assessed date: 1 April 2015. https://doi.org/10.1007/s00704-015-1433-y

  62. Najafi P (2007) Assessment of CropWat model accuracy for estimating potential evapotranspiration in arid and semi-arid region of Iran. Pak J Boil Sci 10(16):2665-2669

    Article  Google Scholar 

  63. Najafi P (2008) Evaluation of effect of surrounding regions on estimation of potential evapotranspiration in arid and semiarid regions. 2nd National Conference on Management of Irrigation and Drainage Networks. Ahvaz, Iran. Assessed date: 3 September 2008. http://www.civilica.com/Paper-IDNC02-IDNC02_247.html (In Persian)

  64. Nandagiri L, Kovoor GM (2005) Sensitivity of the food and agriculture organization Penman-Monteith evapotranspiration estimates to alternative procedures for estimation of parameters. J Irrig Drain Eng 131(3):238-248

    Article  Google Scholar 

  65. Naseri AA, Mohseni Movahed AA, Kashkouli HA, Ehsani MR, Zare Abyaneh H (1999) Evaluation of potential evapotranspiration estimating methods in Hamedan. J Agric Res 1(1):39-49 (In Persian with English Abstract)

    Google Scholar 

  66. Ngongondo C, Xu CY, Tallaksen LM, Alemaw B (2013) Evaluation of the FAO Penman-Montheith, Priestly-Taylor and Hargreaves models for estimating reference evapotranspiration in southern Malawi. Hydrol Res 44:706-722

    Article  Google Scholar 

  67. Norouzi M, Pouzesh Shirazi M, Zolfi Bavariani M (2007) Determination of proper equation to estimate crop water requirement in Bushehr climatic conditions. 10th Congress on Iran Soil Sciences. Karaj, Iran. Assessed date: 10 January 2007. http://www.civilica.com/Paper-SSCI10-SSCI10_515.html (In Persian)

  68. Oftadegan Khouzani A (2012) Evaluation of lysimeter data and Penman-Monteith methods in Yazd. 4th Studend Conference on Geogeraphy, Tehran, Iran. Assessed date: 25 October 2012. http://www.civilica.com/Paper-IGSCUT04-IGSCUT04_167.html (In Persian)

  69. Palangi JA, Hashemi Najafi FA, Moemeni B (2007) Application of artificial intelligence systems for estimation of reference crop evapotranspiration (ET0) in limited data conditions. 9th Conference on Irrigation and Reduction of evaporation, Kerman, Iran. Assessed data: 11 October 2007. http://www.civilica.com/Paper-IDNC01-IDNC01_095.html (In Persian)

  70. Patel J, Patel H, Bhatt C (2015) Modified Hargreaves equation for accurate estimation of evapotranspiration of diverse climate locations in India. Proc Nat Acad Sci India Sec B Biol Sci 85(1):161-166

    Article  Google Scholar 

  71. Pejic B, Aksic M, Mackic K, Sekularac G (2015) Response of potato to water stress in southern Serbia. Austin J Irrig 1(1):1001 In Press Assessed: 23 October 2015

    Google Scholar 

  72. Penman HC (1948) Natural evaporation from open water, bare soil and grass. Proc R Soc Lond Ser A 193:120-145

    Article  CAS  Google Scholar 

  73. Piri H (2012) Evaluation of computational methods for estimation of reference evapotranspiration with lysimeter data (case study: Sistan plan). Water Irrig 3(9):50-62 (In Persian with English Abstract)

    Google Scholar 

  74. Pouryazdankhah H, Razavipour T, Khaledian MR, Rezaei M (2012) Determination of proper methods to estimate reference evapotranspiration in Rasht. 3rd National Conference on Comprehensive Water Resources Management, Sari, Iran. Assessed date: 17 July 2012. http://www.civilica.com/Paper-NCUIMWR03-NCUIMWR03_115.html (In Persian)

  75. 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

    Article  Google Scholar 

  76. Rafi Z, Merlin O, Le Dantec V, Khabba S, Mordelet P, Er-Raki S, Amazirh A, Olivera-Guerra L, Hssaine BA, Simonneaux V, Ezzahar J (2019) Partitioning evapotranspiration of a drip-irrigated wheat crop: inter-comparing eddy covariance-, sap flow-, lysimeter-and FAO-based methods. Agric For Meteorol 265:310-326

    Article  Google Scholar 

  77. Rahimikhoob A, Behbahani MR, Fakheri J (2012) An evaluation of four reference evapotranspiration models in a subtropical climate. Water Resour Manag 26(10):2867-2881

    Article  Google Scholar 

  78. Razzaghi F, Sepaskhah A (2007) Evaluation of different reference crop evapotranspiration methods using weithed lysimeter data. 9th Conference on Irrigation and Reduction of evaporation, Kerman, Iran. Assessed data: 11 October 2007. http://www.civilica.com/Paper-ABYARI09-ABYARI09_029.html (In Persian)

  79. Razzaghi F, Sepaskhah AR (2010) Assessment of nine different equations for ETo estimation using lysimeter data in a semi-arid environment. Arch Agron Soil Sci 56(1):1-12

    Article  Google Scholar 

  80. Razzaghi F, Sepaskhah AR (2012) Calibration and validation of four common ET0 estimation equations by lysimeter data in a semi-arid environment. Arch Agron Soil Sci 58(3):303-319

    Article  CAS  Google Scholar 

  81. Rezaei A, Bakhtiari B, Houshyaripour F, Dehghani Anari M (2007) Evaluation of different estimation methods for reference evapotranspiration using lysimeter measurements. 9th Conference on Irrigation and Reduction of evaporation, Kerman, Iran. Assessed data: 11 October 2007. http://www.civilica.com/Paper-ABYARI09-ABYARI09_017.html (In Persian)

  82. Rezvani SVA, Fathi P, Khodamoradpour M, Azizpour S (2010) Evaluation and verification of computational equations of reference evapotranspiration in Sanandaj. 1st Conference on Applied Researches of Iran Water Resources, Kermanshah, Iran. Assessed date: 9 June 2010. http://www.civilica.com/Paper-INCWR01-INCWR01_073.html (In Persian)

  83. Rigden AJ, Salvucci GD (2015) Evapotranspiration based on equilibrated relative humidity (ETRHEQ): evaluation over the continental US. Water Resour Res 51(4):2951-2973

    Article  Google Scholar 

  84. Romanenko VA (1961) Computation of the autumn soil moisture using a universal relationship for a large area. In: Proceedings, Ukrainian Hydrometeorological Research Institute, No. 3. Kiev

  85. Roshan G, Yousefi R, Fitchett JM (2015) Long-term trends in tourism climate index scores for 40 stations across Iran: the role of climate change and influence on tourism sustainability. Int J Biometeorol. In Press. Assessed date: May 2015. https://doi.org/10.1007/s00484-015-1003-0

  86. Saboohi R, Soltani S, Khodagholi M (2012) Trend analysis of temperature parameters in Iran. Theor Appl Climatol 109(3-4):529-547

    Article  Google Scholar 

  87. Sabziparvar AA, Tabari H (2010) Regional estimation of reference evapotranspiration in arid and semiarid regions. J Irrig Drain Eng 136(10):724-731

    Article  Google Scholar 

  88. Sabziparvar AA, Mousavi R, Marofi S, Ebrahimipak NA, Heidari M (2013) An improved estimation of the Angstrom-Prescott radiation coefficients for the FAO56 Penman-Monteith evapotranspiration method. Water Resour Manag 27(8):2839-2854

    Article  Google Scholar 

  89. Sahoo B, Walling I, Deka BC, Bhatt BP (2012) Standardization of reference evapotranspiration models for a Subhumid Valley rangeland in the Eastern Himalayas. J Irrig Drain Eng 138(10):880-895

    Article  Google Scholar 

  90. Samaras DA, Reif A, Theodoropoulos K (2014) Evaluation of radiation-based reference evapotranspiration models under different Mediterranean climates in Central Greece. Water Resour Manag 28(1):207-225

    Article  Google Scholar 

  91. Sepaskhah AR, Razzaghi F (2009) Evaluation of the adjusted Thornthwaite and Hargreaves-Samani methods for estimation of daily evapotranspiration in a semi-arid region of Iran. Arch Agron Soil Sci 55(1):51-66

    Article  Google Scholar 

  92. Shayannezhad M (2006) Comparison of accuracy of artificial neural networks and Penman-Monteith methods to estimate potential evapotranspiration. 1st National Conference on Management of Irrigation and Drainage Networks. Ahvaz, Iran. Assessed date: 3 September 2006. http://www.civilica.com/Paper-IDNC01-IDNC01_001.html (In Persian)

  93. Shiri J, Nazemi AH, Sadraddini AA, Landeras G, Kisi O, Fard AF, Marti P (2014) Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran. Comput Electron Agric 108:230-241

    Article  Google Scholar 

  94. Shirvani A (2015) Change point analysis of mean annual air temperature in Iran. Atmos Res 160:91-98

    Article  Google Scholar 

  95. Soltani S, Saboohi R, Yaghmaei L (2012) Rainfall and rainy days trend in Iran. Clim Chang 110(1-2):187-213

    Article  Google Scholar 

  96. Tabari H, Talaee PH (2014) Sensitivity of evapotranspiration to climatic change in different climates. Glob Planet Chang 115:16-23

    Article  Google Scholar 

  97. Tabari H, Somee BS, Zadeh MR (2011) Testing for long-term trends in climatic variables in Iran. Atmos Res 100(1):132-140

    Article  Google Scholar 

  98. Tabari H, Hosseinzadeh Talaee P, Some'e BS (2013) Spatial modelling of reference evapotranspiration using adjusted Blaney-Criddle equation in an arid environment. Hydrol Sci J 58(2):408-420

    Article  Google Scholar 

  99. Tafazoli F, Sabziparvar AA, Zare Abyaneh H, Banzhad H (2007) Evaluation of conventional reference evapotranspiration models in cold and arid climate to optimal use of radiation models. 9th Conference on Irrigation and Reduction of evaporation, Kerman, Iran. Assessed data: 11 October 2007. http://www.civilica.com/Paper-ABYARI09-ABYARI09_012.html (In Persian)

  100. Tanian S, Mirmasoudi SS, Ghiami F, Zare Abyaneh H (2008) Evaluation of reference evapotranspiration using lysimeter data in Urmia. 2nd National Conference on Management of Irrigation and Drainage Networks. Ahvaz, Iran. Assessed date: 3 September 2008. http://www.civilica.com/Paper-IDNC02-IDNC02_277.html (In Persian)

  101. Thepadia M, Martinez CJ (2012) Regional calibration of solar radiation and reference evapotranspiration estimates with minimal data in Florida. J Irrig Drain Eng 138(2):111-119

    Article  Google Scholar 

  102. Thornthwaite CW (1948) An approach toward a rational classification of climate. Geogr Rev 38:55-94

    Article  Google Scholar 

  103. Todorovic M, Karic B, Pereira LS (2013) Reference evapotranspiration estimate with limited weather data across a range of Mediterranean climates. J Hydrol 481:166-176

    Article  Google Scholar 

  104. Trabert W (1896) Neue Beobachtungen uber Verdampfungsgeschwindigkeiten. Meteorol Z 13:261-263

    Google Scholar 

  105. Trajkovic S (2007) Hargreaves versus Penman-Monteith under humid condition. J Irrig Drain Eng 133:38-42

    Article  Google Scholar 

  106. Turc L (1961) Estimation of irrigation water requirements, potential evapotranspiration: a simple climatic formula evolved up to date. Ann Agron 12:13-49

    Google Scholar 

  107. Vahidi A (2009) Evaluation of different estimation methods for reference evapotranspiration using weighed lysimeter. 10th Conference on Irrigation and Reduction of evaporation, Kerman, Iran. Assessed data: 11 October 2009. http://www.civilica.com/Paper-ABYARI10-ABYARI10_197.html (In Persian)

  108. WMO (1966)Measurement and estimation of evaporation and evapotranspiration. Tech. Pap. (CIMO-Rep) 83. Genf

  109. Wrachien DD, Mambretti S (2015) Irrigation and drainage systems in flood-prone areas: the role of mathematical models. Austin J Irrig 1(1): 1002 In Press Assessed: 25 November 2015

  110. Xu CY, Singh VP, Chen YD, Chen D (2008) Evaporation and evapotranspiration. In: Singh VP (ed) Hydrology and hydraulics, 1st edn. Water Resources Pubns, USA, pp 229-276

    Google Scholar 

  111. Yamac SS, Todorovic M (2020) Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data. Agric Water Manag 228:105875

    Article  Google Scholar 

  112. Yarami N, Kamgar-Haghighi AA, Sepaskhah AR, Zand-Parsa S (2011) Determination of the potential evapotranspiration and crop coefficient for saffron using a water-balance lysimeter. Arch Agron Soil Sci 57(7):727-740

    Article  Google Scholar 

  113. Zare Abyaneh H, Ghasemi A, Ahmadi M (2007) Determination of the most proper method to estimate reference crop evapotranspiration in comparison with empirical methods for Hamedan. 9th Conference on Irrigation and Reduction of evaporation, Kerman, Iran. Assessed data: 11 October 2007. http://www.civilica.com/Paper-ABYARI09-ABYARI09_022.html (In Persian)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohammad Valipour.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Valipour, M., Gholami Sefidkouhi, M. & Raeini-Sarjaz, M. Spatiotemporal Analysis of Reference Evapotranspiration in Arid, Semiarid, Mediterranean and Very Humid Climates Considering Developed Models and Lysimeter Measurements. Water Conserv Sci Eng 5, 81–96 (2020). https://doi.org/10.1007/s41101-020-00087-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41101-020-00087-5

Keywords

Navigation