ANN-Based Reference Evapotranspiration Estimation: Effects of Data Normalization and Parameters Selection

2021 ◽  
pp. 3-12
Author(s):  
Min Yan Chia ◽  
Yuk Feng Huang ◽  
Chai Hoon Koo
Keyword(s):  
Reference Evapotranspiration ◽  
Data Normalization ◽  
Parameters Selection ◽  
Evapotranspiration Estimation

Improvement of Makkink model for reference evapotranspiration estimation using temperature data in Northwest China

2018 ◽  
Vol 566 ◽  
pp. 264-273 ◽  
Author(s):  
Qingwen Zhang ◽  
Ningbo Cui ◽  
Yu Feng ◽  
Daozhi Gong ◽  
Xiaotao Hu
Keyword(s):  
Reference Evapotranspiration ◽  
Northwest China ◽  
Temperature Data ◽  
Evapotranspiration Estimation

scholarly journals Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil

2018 ◽  
Vol 22 (2) ◽  
pp. 83-89 ◽  
Author(s):  
Gustavo H. da Silva ◽  
Santos H. B. Dias ◽  
Lucas B. Ferreira ◽  
Jannaylton É. O. Santos ◽  
Fernando F. da Cunha
Keyword(s):  
Wind Speed ◽  
Solar Radiation ◽  
Standard Method ◽  
Reference Evapotranspiration ◽  
Meteorological Data ◽  
Air Humidity ◽  
Method Performance ◽  
Relative Air Humidity ◽  
Evapotranspiration Estimation ◽  
Missing Variables

ABSTRACT FAO Penman-Monteith (FO-PM) is considered the standard method for the estimation of reference evapotranspiration (ET0) but requires various meteorological data, which are often not available. The objective of this work was to evaluate the performance of the FAO-PM method with limited meteorological data and other methods as alternatives to estimate ET0 in Jaíba-MG. The study used daily meteorological data from 2007 to 2016 of the National Institute of Meteorology’s station. Daily ET0 values were randomized, and 70% of these were used to determine the calibration parameters of the ET0 for the equations of each method under study. The remaining data were used to test the calibration against the standard method. Performance evaluation was based on Willmott’s index of agreement, confidence coefficient and root-mean-square error. When one meteorological variable was missing, either solar radiation, relative air humidity or wind speed, or in the simultaneous absence of wind speed and relative air humidity, the FAO-PM method showed the best performances and, therefore, was recommended for Jaíba. The FAO-PM method with two missing variables, one of them being solar radiation, showed intermediate performance. Methods that used only air temperature data are not recommended for the region.

Framework for Standardizing Less Data-Intensive Methods of Reference Evapotranspiration Estimation

2018 ◽  
Vol 32 (13) ◽  
pp. 4159-4175 ◽  
Author(s):  
Laishram Kanta Singh ◽  
Madan K. Jha ◽  
Mohita Pandey
Keyword(s):  
Reference Evapotranspiration ◽  
Data Intensive ◽  
Evapotranspiration Estimation

Alternative heuristics equations to the Priestley–Taylor approach: assessing reference evapotranspiration estimation

2019 ◽  
Vol 138 (1-2) ◽  
pp. 831-848 ◽  
Author(s):  
Jalal Shiri ◽  
Amir Hossein Nazemi ◽  
Ali Ashraf Sadraddini ◽  
Pau Marti ◽  
Ahmad Fakheri Fard ◽  
...  
Keyword(s):  
Reference Evapotranspiration ◽  
Evapotranspiration Estimation
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