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• W3126223515 abstract "Experimental methods of reference evapotranspiration (ET0) calculation require extensive environmental data, not readily attainable everywhere. Therefore, two multivariate models using Levenberg–Marquardt nonlinear least-squares algorithm were developed in this research to estimate daily ET0 by focusing on fewer meteorological variable inputs. Different meteorological parameters were measured for two consecutive years in outdoor and greenhouse environments. The ET0 models were developed for the aforementioned environments in terms of three major parameters, namely air temperature, relative humidity and pan evaporation. To construct the ET0 models, three steps were carried out, (i) outdoor wind speed was estimated in terms of the major parameters with appropriate accuracy (R2=0.42, AR2=0.4 and RMSE = 0.176 m/s), (ii) net radiation was estimated in terms of the major parameters and estimated wind speed with high accuracy (their R2 and AR2 > 0.47 and RMSE < 2.55 MJ/(m2-day)), and (iii) ET0 was accurately estimated in terms of the major parameters, estimated wind speed and net radiation. Our ET0 models (R. & M. models) were compared with nine common methods for both conditions according to eight statistical indices. The results indicated that in the outdoor condition, FPM and R. & M. were the best models, respectively, while Makkink indicated the poorest estimations. In the greenhouse condition, the R. & M. model was the best, FPM was the third-best and Linacre was the worst method for ET0 estimation. However, R. & M. models were significantly appropriate for ET0 assessment, they were multivariate models, so the nomography method was used as a user-friendly method to illustrate the estimations. The difference between the model outputs and nomogram was negligible, indicating that the nomogram was suitable for ET0 determination and can be used in the weather stations." @default.
• W3126223515 created "2021-02-15" @default.
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• W3126223515 date "2021-05-01" @default.
• W3126223515 modified "2023-10-14" @default.
• W3126223515 title "A simple-to-use nomogram for reference evapotranspiration assessment using multivariate models: Study on outdoor and greenhouse environments" @default.
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• W3126223515 doi "https://doi.org/10.1016/j.eti.2021.101421" @default.
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