Identifying precipitation uncertainty in crop modelling using Bayesian total error analysis

Identifying precipitation uncertainty in crop modelling using Bayesian total error analysis

Precipitation is an important source of soil water, which is critical to crop growth, and is therefore an important input when modelling crop growth. Although advances are continually being made in predicting and recording precipitation, input uncertainty of precipitation data is likely to influence...

Полное описание

Библиографические подробности
Главные авторы:	Huang, X, Ni, S, Yu, C, Hall, J, Zorn, C
Формат:	Journal article
Язык:	English
Опубликовано:	Elsevier 2018

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