diff --git a/DESCRIPTION b/DESCRIPTION
index e0320a8efa90762d95b99825b2b42f3aa5ec5f26..034396d41cb01f4e8d86e24b71db66f82022cb35 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 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")),
diff --git a/NEWS.rmd b/NEWS.rmd
index a75ba970fbf603ac30fcf30a8dfef477fe552043..ec2f19ee5c18eab0d7a808283bcdd98dbf5347f3 100644
--- a/NEWS.rmd
+++ b/NEWS.rmd
@@ -14,7 +14,7 @@ output:
 
 
 
-### 1.0.9.765 Release Notes (2018-04-04) 
+### 1.0.9.77 Release Notes (2018-04-04) 
 
 
 ____________________________________________________________________________________
diff --git a/vignettes/V03_param_sets_GR4J.Rmd b/vignettes/V03_param_sets_GR4J.Rmd
index 8cc407c058ca5abbd905781f3da15ccf96e307f6..0eb7134f922ed3197dbaffd0762bf276193e62f7 100644
--- a/vignettes/V03_param_sets_GR4J.Rmd
+++ b/vignettes/V03_param_sets_GR4J.Rmd
@@ -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).