OR/14/007 Simulation modes: Difference between revisions
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==Calibration== | ==Calibration== | ||
The calibration mode is used to determine the most efficient model structures and parameter sets for the chosen application, i.e. those that produce groundwater level time-series that best replicate available observational data. In calibration mode, AquiMod has an in-built Monte Carlo parameter sampling algorithm that runs a specified model structure using multiple unique parameter sets (up to ~107) which are randomly sampled from a user-defined parameter space. For each parameter set, the model is run and a measure of simulation efficiency is calculated by comparing the simulated groundwater level time-series to available observed data. Three different objective functions can be used in AquiMod to determine model efficiency (Table 4.1). | The calibration mode is used to determine the most efficient model structures and parameter sets for the chosen application, i.e. those that produce groundwater level time-series that best replicate available observational data. In calibration mode, AquiMod has an in-built Monte Carlo parameter sampling algorithm that runs a specified model structure using multiple unique parameter sets (up to ~107) which are randomly sampled from a user-defined parameter space. For each parameter set, the model is run and a measure of simulation efficiency is calculated by comparing the simulated groundwater level time-series to available observed data. Three different objective functions can be used in AquiMod to determine model efficiency (Table 4.1). | ||
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|+ Table 4.1 Objective functions available in AquiMod for a simulation sequence with n time-steps calculated using the observed (h<sub>o</sub>) and modelled (h<sub>m</sub>) groundwater levels. | |+ Table 4.1 Objective functions available in AquiMod for a simulation sequence with n time-steps calculated using the observed (h<sub>o</sub>) and modelled (h<sub>m</sub>) groundwater levels. | ||
! ID !! Name !! Description | ! ID !! Name !! Description | ||
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==Evalutaion== | ==Evalutaion== | ||
When using the evaluation mode, the user is required to specify one or more fixed parameter sets. AquiMod then determines the model efficiency for each of these and also generates time-series output files for each model component (e.g. groundwater level time-series for the saturated zone). | When using the evaluation mode, the user is required to specify one or more fixed parameter sets. AquiMod then determines the model efficiency for each of these and also generates time-series output files for each model component (e.g. groundwater level time-series for the saturated zone). | ||
[[Category:OR/14/007_AquiMod User Manual (v1.0)| 04]] | [[Category:OR/14/007_AquiMod User Manual (v1.0)| 04]] | ||
Latest revision as of 08:52, 20 October 2021
| Mackay, J D, Jackson, C R, and Wang, L. 2014. AquiMod User Manual (v1.0). Nottingham, UK, British geological Survey. (OR/14/007). |
AquiMod has two different simulation modes, calibration and evaluation, which are described below.
Calibration
The calibration mode is used to determine the most efficient model structures and parameter sets for the chosen application, i.e. those that produce groundwater level time-series that best replicate available observational data. In calibration mode, AquiMod has an in-built Monte Carlo parameter sampling algorithm that runs a specified model structure using multiple unique parameter sets (up to ~107) which are randomly sampled from a user-defined parameter space. For each parameter set, the model is run and a measure of simulation efficiency is calculated by comparing the simulated groundwater level time-series to available observed data. Three different objective functions can be used in AquiMod to determine model efficiency (Table 4.1).
| ID | Name | Description |
|---|---|---|
| 1 | Nash-Sutcliffe Efficiency (NSE) | 
|
| 2 | Root Mean Squared Error (RMSE) | 
|
| 3 | Mean Absolute Percentage Error (MAPE) | 
|
Evalutaion
When using the evaluation mode, the user is required to specify one or more fixed parameter sets. AquiMod then determines the model efficiency for each of these and also generates time-series output files for each model component (e.g. groundwater level time-series for the saturated zone).