MCMC

• Category: Parameter Estimation
• Development language: 参数估计,Metropolis–Hasting
• Operating platform / Operating system: Windows, Linux
• Compilation tools and environment: MATLAB
• Version: version 1.0
• GitHub download path: https://gitee.com/three-poles/Parameter-estimation
• Citation:

  Zhu G.F.*, Li X., Su Y.H., Zhang K., Bai Y., Ma J.Z., Li C.B., Hu X. L., He J.H. Simultaneous parameterization of the two-source evapotranspiration model by Bayesian approach: application to spring maize in an arid region of northwest China. Geoscientific Model Development, 7, 741-775, 2014

Method description:

The uncertainty in quantitatively estimating the model parameters plays a key role in improving the simulation accuracy of the model and identifying the structure of the model. The algorithm estimates the parameters of the eco-hydrological model based on the fusion of multi-source data of Bayesian method, which can effectively overcome the problem of "parameter equifinality" of the eco-hydrologic model. It provides a research framework for reducing the uncertainty of model parameters and identifying the error structural of the model.

Installation: no installation required;

QR code:

• 安装方式：不需要安装

  运行方式：编译后运行

  输入变量：净辐射、气温、风速

  输出变量：土壤水分，径流，雪水当量

  二维码：