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...
Main Authors: | Huang, X, Ni, S, Yu, C, Hall, J, Zorn, C |
---|---|
格式: | Journal article |
语言: | English |
出版: |
Elsevier
2018
|
相似书籍
-
A new uncertainty estimation approach with multiple datasets and implementation for various precipitation products
由: X. Zhou, et al.
出版: (2020-04-01) -
Bayesian Inference for Correlations in the Presence of Measurement Error and Estimation Uncertainty
由: Dora Matzke, et al.
出版: (2017-10-01) -
On revision of the Guide to the Expression of Uncertainty in Measurement: Proofs of fundamental errors in Bayesian approaches
由: R. Willink
出版: (2022-12-01) -
An Error-Pursuing Adaptive Uncertainty Analysis Method Based on Bayesian Support Vector Regression
由: Sheng-Tong Zhou, et al.
出版: (2023-02-01) -
Quantifying input uncertainty in the calibration of water quality models: reordering errors via the secant method
由: X. Wu, et al.
出版: (2022-03-01)