Abstract Evapotranspiration is a key variable for hydrologic, climatic, agricultural, and environmental studies. Given the non-availability of economically technically easy to implement direct measurement methods, evapotranspiration estimated primarily through application empirical regression models, machine learning algorithms that incorporate conventional meteorological variables. While FAO-5...

seasonal variations of climatic parameters are significant in arid and semi-arid regions and sensitivity of each parameter may differ in different seasons. no work has been done in this regard in iran. therefore, in this study, sensitivity analysis of the asce-penman-monteith grass reference evapotranspiration (eto) equation was investigated on the basis of variation of mean air temperature (tm...

In this study latent heat flux (λE) measurements made at 65 boreal and arctic eddy-covariance (EC) sites were analyses by using the Penman-Monteith equation. Sites were stratified into nine different ecosystem types: harvested and burnt forest areas, pine forests, spruce or fir forests, Douglas-fir forests, broadleaf deciduous forests, larch forests, wetlands, tundra and natural grasslands. The...

Given the widespread ecological implications that would accompany any significant change in evaporative demand of the atmosphere, this study investigated spatial and temporal variation in several accepted expressions of potential evaporation (PE). The study focussed on forest regions of North America, with 1 km-resolution spatial coverage and a monthly time step, from 1951–2014. We considered P...

A simplified equation to estimate spatial reference evapotranspiration (ETo_Ts) from remote sensing-based surface temperature (Ts) and local standard meteorological data is suggested. It is based on a parameterization of the meteorological conditions of the first few meters of the atmosphere through two parameters (a and b) which come from a simpler form of the Penman–Monteith equation:

17 18 The responses of canopy conductance to variation in solar radiation, vapour pressure deficit and soil 19 moisture have been extensively modelled using a Jarvis-Stewart (JS) model. Modelled canopy 20 conductance has then often been used to predict transpiration using the Penman-Monteith (PM) 21 model. We previously suggested an alternative approach in which the JS model is modified to 22

16 Solar radiation is an important climatic variable for assessing reference evapotranspiration 17 (E0), but it is seldom available in weather station records. Meteosat satellite images processed 18 with the Heliosat-2 method provide the HelioClim-1 database, which displays spatialized 19 solar radiation data at a daily time step for Europe and Africa. The aim of the present work 20 was to inve...