@@ -26,7 +26,7 @@ The best set identified in this screening is then used as a starting point for t
...
@@ -26,7 +26,7 @@ The best set identified in this screening is then used as a starting point for t
In some specific situations, for example if the calibration period is too short and by consequence non representative of the catchment behavior, a local calibration algorithm can give poor results.
In some specific situations, for example if the calibration period is too short and by consequence non representative of the catchment behaviour, a local calibration algorithm can give poor results.
In this vignette, we show a method using a known parameter set that can be used as an alternative for the grid-screening calibration procedure, and we well compare to two methods using the `Calibration_Michel()` function. The generalist parameters sets introduced here are taken from @andreassian_seeking_2014.
In this vignette, we show a method using a known parameter set that can be used as an alternative for the grid-screening calibration procedure, and we well compare to two methods using the `Calibration_Michel()` function. The generalist parameters sets introduced here are taken from @andreassian_seeking_2014.
# Calibration of the GR4J model with the generalist parameter sets
# Calibration of the GR4J model with the generalist parameter sets
It is recommended to use the generalist parameter sets when the calibration period is less than 6 month.
It is recommended to use the generalist parameter sets when the calibration period is less than 6 months.
As shown in @andreassian_seeking_2014 [figure 4], a recommended way to use the `Param_Sets_GR4J` `data.frame` is to run the GR4J model with each parameter set and to select the best one according to an objective function (here we use the Nash-Sutcliffe Efficiency criterion).
As shown in @andreassian_seeking_2014 [figure 4], a recommended way to use the `Param_Sets_GR4J` `data.frame` is to run the GR4J model with each parameter set and to select the best one according to an objective function (here we use the Nash-Sutcliffe Efficiency criterion).
