World Environmental and Water Resources Congress 2016 2016
DOI: 10.1061/9780784479872.072
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Comparison of Two Temperature-Based Methods of Estimating Potential Evapotranspiration (PET) in Texas

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Cited by 2 publications
(2 citation statements)
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“…SPEI is a multi-scalar index that uses the differences between precipitation (P) and potential evapotranspiration (PET), thus including the impact of temperature on soil moisture responsible for crop growth. There exist several methods of computing PET, from the simple Thornthwaite or Hargreaves [57,58] to the sophisticated FAO and WMO's standard accepted Penman-Monteith (PM) [59] method. Due to data limitations, this study used Hargreaves using minimum, maximum air temperature, and geographic coordinates of the stations [57].…”
Section: Determination Of Drought Severity Indexmentioning
confidence: 99%
“…SPEI is a multi-scalar index that uses the differences between precipitation (P) and potential evapotranspiration (PET), thus including the impact of temperature on soil moisture responsible for crop growth. There exist several methods of computing PET, from the simple Thornthwaite or Hargreaves [57,58] to the sophisticated FAO and WMO's standard accepted Penman-Monteith (PM) [59] method. Due to data limitations, this study used Hargreaves using minimum, maximum air temperature, and geographic coordinates of the stations [57].…”
Section: Determination Of Drought Severity Indexmentioning
confidence: 99%
“…Finally, apositive/negative RDI (i) st(k) renders dry/wet conditions In Safran, PET is determined according to the Food and Agriculture Organization of the United Nations (FAO) Penman-Monteith equation [28] which requires, beside temperature, data on wind speed, air humidity, radiation and albedo. The availability of all these parameters is often limited and many approaches often refer to estimates of PET which is derived from temperature data alone [29,30]. In our study, we therefore also tested whether T-derived PET estimates (PETt) can be used for the prediction of annual runoff.…”
Section: Climate Datamentioning
confidence: 99%