GMS:MODFLOW Solution Properties Dialog: Difference between revisions
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{{MODFLOW Links}} | {{MODFLOW Links}} | ||
__TOC__ | __TOC__ | ||
The MODFLOW ''Properties'' dialog box is opened by right-clicking on the MODFLOW solution [[File:Generic Folder Locked.svg|16 px]] folder in the Project Explorer. | The MODFLOW ''Properties'' dialog box is opened by right-clicking on the MODFLOW solution [[File:Generic Folder Locked.svg|16 px]] folder in the Project Explorer and selecting '''Properties'''. | ||
:[[Image:ModflowProperties.png|thumb|none|225px]] | |||
The data in this dialog come from the "*._os", "*._ww", "*._r", and "*._w" files computed by the MODFLOW observation process. The computation from MODFLOW will include any observed flows combined with the observed heads to calculate a single error value. In a transient model, the error value includes all of the observations at the various times. The error shown in this dialog is different from the error found in the [[GMS:Error_Summary_Plot|Error Summary plot]]. | |||
:[[Image:ModflowPropertiesDialogBox.png|thumb|none|left|350 px|MODFLOW ''Properties'' dialog box]] | |||
Only MODFLOW-2000 outputs weighted residuals. Weighted residuals are computed for MODFLOW-USG and MODFLOW-USG Transport using PEST utilities. | |||
== | ==Descriptions of different error values== | ||
*''Mean Residual'' – Average error for the observations. This can be misleading because the positive and negative errors can cancel. | *''Mean Residual'' – Average error for the observations. This is calculated as observed residual minus simulated residual. This can be misleading because the positive and negative errors can cancel. | ||
* ''Mean Absolute Residual'' – Mean of the absolute error values for the observations. This is a true mean, not allowing positive and negative errors to cancel. | * ''Mean Absolute Residual'' – Mean of the absolute error values for the observations. This is a true mean, not allowing positive and negative errors to cancel. | ||
* ''Root Mean Squared Residual'' – RMS is calculated by taking the average of the square of the errors for the observations and then taking its square root. This tends to give more weight to cases where a few extreme error values exist. | * ''Root Mean Squared Residual'' – RMS is calculated by taking the average of the square of the errors for the observations and then taking its square root. This tends to give more weight to cases where a few extreme error values exist. | ||
