Performance evaluation of numerical and machine learning methods in estimating reference evapotranspiration in a Brazilian agricultural frontier

The reference evapotranspiration (ET 0 ) estimates is important for water resources and irrigation management. The Penman-Monteith equation is known for its accuracy but requires a high number of climatic parameters that are not always available. Thus, this study aimed to evaluate the performance of...

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Veröffentlicht in:	Theoretical and applied climatology 2020-11, Vol.142 (3-4), p.1481-1492
Hauptverfasser:	dos Santos Farias, Diego Bispo, Althoff, Daniel, Rodrigues, Lineu Neiva, Filgueiras, Roberto
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Aquatic Pollution Aquatic resources Atmospheric Protection/Air Quality Control/Air Pollution Atmospheric Sciences Climatology Earth and Environmental Science Earth Sciences Machine learning Management Methods Neural networks Original Paper Soybean Waste Water Technology Water Water Management Water Pollution Control
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