Daily Reference Evapotranspiration Based on Temperature for Brazilian Meteorological Stations

被引:2
|
作者
Borges Junior, Joao Carlos F. [1 ]
Pinheiro, Marcus Andre B. [2 ]
机构
[1] Univ Fed Sao Joao del Rei, Dept Agr Sci, POB 56, BR-35701970 Sete Lagoas, MG, Brazil
[2] Univ Fed Lavras, POB 3037, BR-37200000 Lavras, MG, Brazil
关键词
Food and Agriculture Organization (FAO) Penman-Monteith; Hargreaves; Model performance; Crop water requirements; Irrigation management; REFERENCE CROP EVAPOTRANSPIRATION; HARGREAVES-SAMANI EQUATION; ESTIMATING SOLAR-RADIATION; MODELS; CALIBRATION; VALIDATION; REGRESSION; ACCURACY; NORTH;
D O I
10.1061/(ASCE)IR.1943-4774.0001437
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Reference evapotranspiration data (ET0) are essential for certain classes of agrarian and environmental science studies. The standard model for calculating ET0 is the FAO Penman-Monteith (FPM), but its application may be difficult when meteorological data are scarce. The objective of this study was to evaluate alternative models to estimate ET0 when only air temperature data are available by using daily data from 22 meteorological stations in Brazil under different climate classifications. The data set was divided for model calibration and validation. In addition to the Hargreaves-Samani (HS) model in its original and locally calibrated (HSc) forms, one model based on the HS model (HSb), and two other models (PE and FPMead) were proposed. The values of performance statistics for the calibrated models were similar. In general, the FPMead model (mean absolute error between 0.39 and 0.79 mm day-1) was the best according to a Friedman test at a 5% significance level, followed by the PE, HSb, and HSc models. The best performances for the calibrated models were obtained for the stations in the humid tropical zone (Koppen climate classifications Cfa, Cfb, and Cwa) according to the statistical dimensionless measures.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Reference evapotranspiration based on temperature in Minas Gerais state, Brazil
    Braido Pinheiro, Marcus Andre
    Marques Oliveira, Aline Lilian
    Ferreira Borges Junior, Joao Carlos
    de Oliveira, Evandro Chaves
    de Carvalho, Luiz Gonsaga
    [J]. CIENCIA E AGROTECNOLOGIA, 2019, 43
  • [32] Trend Analysis and Identification of the Meteorological Factors Influencing Reference Evapotranspiration
    Aschale, Tagele Mossie
    Peres, David J.
    Gullotta, Aurora
    Sciuto, Guido
    Cancelliere, Antonino
    [J]. WATER, 2023, 15 (03)
  • [33] Preserving Continuity of Long-Term Daily Maximum and Minimum Temperature Observations with Automation of Reference Climate Stations using Overlapping Data and Meteorological Conditions
    Milewska, Ewa J.
    Vincent, Lucie A.
    [J]. ATMOSPHERE-OCEAN, 2016, 54 (01) : 32 - 47
  • [34] Daily Reference Evapotranspiration Estimation Based on Least Squares Support Vector Machines
    Chen, Dachun
    [J]. COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT II, 2012, 369 : 54 - 63
  • [35] The effect of different meteorological parameters on the temporal variations of reference evapotranspiration
    Khanmohammadi, Neda
    Rezaie, Hossein
    Montaseri, Majid
    Behmanesh, Javad
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2017, 76 (15)
  • [36] Genetic Programming-Based Empirical Model for Daily Reference Evapotranspiration Estimation
    Guven, Aytac
    Aytek, Ali
    Yuce, Mehmet Ishak
    Aksoy, Hafzullah
    [J]. CLEAN-SOIL AIR WATER, 2008, 36 (10-11) : 905 - 912
  • [37] Mapping reference evapotranspiration from meteorological satellite data and applications
    Yao, Ming-Hwi
    Li, Ming-Hsu
    Juan, Jehn-Yih
    Hsia, Yue-Joe
    Lee, Ping-Ho
    Shen, Yuan
    [J]. TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES, 2017, 28 (03): : 501 - 515
  • [38] The effect of different meteorological parameters on the temporal variations of reference evapotranspiration
    Neda Khanmohammadi
    Hossein Rezaie
    Majid Montaseri
    Javad Behmanesh
    [J]. Environmental Earth Sciences, 2017, 76
  • [39] Effect of the sampling frequency of meteorological variables on the estimation of the reference evapotranspiration
    Hupet, F
    Vanclooster, M
    [J]. JOURNAL OF HYDROLOGY, 2001, 243 (3-4) : 192 - 204
  • [40] Combination of satellite imagery with meteorological data for estimating reference evapotranspiration
    Montero, D.
    Echeverry, F.
    Hernandez, F.
    [J]. REVISTA DE TELEDETECCION, 2018, (51): : 75 - 86