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