Commit 684b22f0 authored by Delaigue Olivier's avatar Delaigue Olivier
Browse files

1.0.9.77 param_sets vignette text updated

parent e5c97da6
Package: airGR
Type: Package
Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Version: 1.0.9.76
Version: 1.0.9.77
Date: 2018-04-04
Authors@R: c(
person("Laurent", "Coron", role = c("aut", "trl")),
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......@@ -14,7 +14,7 @@ output:
### 1.0.9.765 Release Notes (2018-04-04)
### 1.0.9.77 Release Notes (2018-04-04)
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......@@ -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.
......@@ -108,7 +108,7 @@ InputsCrit_Val <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = Inpu
# 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).
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