2009
DOI: 10.36487/acg_repo/908_35
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Modified Blaney-Criddle method — an empirical approach to estimate potential evaporation using air temperature

Abstract: Potential evaporation (PE) or potential evapotranspiration (PET, ET o ) is one of the fundamental elements in the hydrologic cycle. The Blaney-Criddle (B-C) method is the simplest approach for estimating PE as it requires only temperature data for input. It has been found that the B-C method can provide accurate estimates for moderate climates. Under extreme climatic conditions the B-C method is inaccurate. This paper presents a modification to the original B-C method which was calibrated to the observed met… Show more

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Cited by 6 publications
(3 citation statements)
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“…G is the soil heat flux (MJ m -2 d -1 ) which can be neglected for daily calculations 5 . The semi-automated GIS model of FAO PM method was presented in a previous work 29 .…”
Section: Computation Of the Mean Daily Reference Evapotranspirationmentioning
confidence: 99%
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“…G is the soil heat flux (MJ m -2 d -1 ) which can be neglected for daily calculations 5 . The semi-automated GIS model of FAO PM method was presented in a previous work 29 .…”
Section: Computation Of the Mean Daily Reference Evapotranspirationmentioning
confidence: 99%
“…Those models are presented in double representation: optical programming by ArcMap 10.8 model builder (https://www.esri.com) and python scripts, which are applicable to any-study area. This study contributes to the attempt well-established empirical methods of evapotranspiration types to be transferred and executed through GIS software in a semi-automated way 16,29,30 .…”
Section: Introductionmentioning
confidence: 99%
“…In this study, the inflow-outflow model (IOM) was slightly modified from the mass balance method to predict the variations of water depth in the lake. Blaney and Criddle method used to calculate the lake evaporation since the input data was only atmospheric temperature and suitable for data limitation case studies (Zhan et al, 2009).…”
Section: Water Depth Prediction Modelmentioning
confidence: 99%