Index > AutoCalAWBM1_NSEMonthlyBias.rsproj

Project File AutoCalAWBM1_NSEMonthlyBias.rsproj
Categories
  • Calibration Tool
  • Rainfall-runoff modelling
Created By Shaun Kim
Created Date 03/02/2015
Tested By Shaun Kim
Tested Date 03/02/2015
Maintained By
Additional Details Lili Zhang: 14/08/2014, Copy from AutoCalAWBM1 project. Changed objective to NSE Monthly and Bias Penalty, change optimisation method to SCE then Rosenbrock Lili Zhang: 20/11/2014, updated flow results to accommodate change --- if flow less than 1E-08, set flow to 0.
Model Information
Output
Functionality
Specification
Created In 3.0.7
Last Saved In 3.8.2
Works In Flow Phase Yes
Test Objective Automatic Calibration of Single catchment, SCE optimiser and then Rosenbrock, AWBM, monthly Nash Sutcliffe with log bias constraint
Status
Team City Result Passed
Execution Time (Minutes) Days: 0, Hours: 0, Minutes: 4, Seconds: 6
Jira Issues
Additional Files calibration_SCERosenbrock.jpg, RRCalibration_Summary.csv,
LogFile AutoCalAWBM1_NSEMonthlyBias.rsproj.txt
Scenarios
  • Scenario Name: RRCalibration
    • Description:
    • Ordering System Type: New rules based ordering system
    • OwnerShip Enabled: False
    • Time Step: Daily
    • Simulation Start: 1/1/1988 12:00:00 AM
    • Simulation End: 12/31/1991 12:00:00 AM
    • Catchments: 2
    • FunctionalUnits:
      • FU1: 2
      • NoRunoff: 2
    • Rainfall Runoff Model:
      • AWBM: 1
      • Nil runoff: 3
    • Filtering Model:
    • Links:
      • Straight-Through Routing: 2
    • Nodes:
      • Confluence: 3
    • Constituent To Models: