Keywords

Auto-calibration, hydrology, sediment, uncertainty analysis, Bayesian Model Averaging

Location

Session C1: Compexity, Sensitivity, and Uncertainty Issues in Integrated Environmental Models

Start Date

16-6-2014 10:40 AM

End Date

16-6-2014 12:00 PM

Abstract

The Agricultural Policy Environmental eXtender - auto-Calibration and UncerTainty Estimator (APEX-CUTE) was developed as an open-source tool which enhances the accessibility for APEX users to conduct potentially tedious calibration work on the APEX model. The role of uncertainty analysis should be taken as an independent supporting package to extend the capability in further analytical purposes. This version of APEX-CUTE incorporates relevant functions of uncertainty analysis flexibly. Users have options to include designated uncertainty sources such as input and/or measurement errors during the calibration process. APEX-CUTE is not only the comprehensive package in performing model calibration on APEX, but it can also be implemented to address uncertainty associated with APEX modelling in a more reliable manner.

COinS
 
Jun 16th, 10:40 AM Jun 16th, 12:00 PM

APEX-CUTE: An Auto-calibration and Uncertainty Analysis Tool for the APEX Model

Session C1: Compexity, Sensitivity, and Uncertainty Issues in Integrated Environmental Models

The Agricultural Policy Environmental eXtender - auto-Calibration and UncerTainty Estimator (APEX-CUTE) was developed as an open-source tool which enhances the accessibility for APEX users to conduct potentially tedious calibration work on the APEX model. The role of uncertainty analysis should be taken as an independent supporting package to extend the capability in further analytical purposes. This version of APEX-CUTE incorporates relevant functions of uncertainty analysis flexibly. Users have options to include designated uncertainty sources such as input and/or measurement errors during the calibration process. APEX-CUTE is not only the comprehensive package in performing model calibration on APEX, but it can also be implemented to address uncertainty associated with APEX modelling in a more reliable manner.