docs(vignette): update english version of webGR URL and fix typo

vignettes/v01_EN_flow_reconstruction.rmd

@@ -154,7 +154,7 @@ This section aims to define the calibration and simulation conditions of the hyd
 
 You will used the GR2M model [@mouelhi_stepwise_2006]. It is a conceptual and lumped rainfall-runoff model, operating on a monthly time step and having two parameters. It requires as input continuous time series of monthly precipitation and potential evapotranspiration.
 
-This model is easily usable thanks to the `r airGRteaching` package [@airGRteaching_man; @airGRteaching_art], developped for the [R software](https://cran.r-project.org/) by the [Catchment Hydrology research group of the HYCAR reaserch unit](https://webgr.inrae.fr/en/home/) ([INRAE](https://www.inrae.fr/en), France).
+This model is easily usable thanks to the `r airGRteaching` package [@airGRteaching_man; @airGRteaching_art], developped for the [R software](https://cran.r-project.org/) by the [Catchment Hydrology research group of the HYCAR research unit](https://webgr.inrae.fr/eng) ([INRAE](https://www.inrae.fr/en), France).
 
 The time series of observed precipitation, PE and streamflow can be easily formatted using the `PrepGR()` function. A rainfall-runoff simulation can be performed with the `SimGR()` function, an a parameter calibration using the `CalGR()`.
 

vignettes/v02_EN_flow_forecasting.rmd

@@ -206,7 +206,7 @@ In this exercise, you analyze all the streamflows observed during the forecast p
 
 You will use the GR6J model [@pushpalatha_downward_2011]. It is a lumped rainfall-runoff model, operating on a daily time step and having six parameters. It requires continuous time series of daily precipitation and potential evapotranspiration (PE) as input.
 
-This model is easily usable thanks to the `r airGRteaching` package [@airGRteaching_man; @airGRteaching_art], developped for the [R software](https://cran.r-project.org/) by the [Catchment Hydrology research group of the HYCAR reaserch unit](https://webgr.inrae.fr/en/home/) ([INRAE](https://www.inrae.fr/en), France).
+This model is easily usable thanks to the `r airGRteaching` package [@airGRteaching_man; @airGRteaching_art], developped for the [R software](https://cran.r-project.org/) by the [Catchment Hydrology research group of the HYCAR research unit](https://webgr.inrae.fr/eng) ([INRAE](https://www.inrae.fr/en), France).
 
 The time series of observed precipitation, PE and streamflow can be easily formatted using the `PrepGR()` function. A rainfall-runoff simulation can be performed with the `SimGR()` function, and a parameter calibration using the `CalGR()`.
 

vignettes/v03_EN_impact_CC_flow.rmd

@@ -208,7 +208,7 @@ GR4J is a conceptual and lumped rainfall-runoff model, operating on a daily time
 
 The snow accumulation and melt model CemaNeige also operates on a daily time step, and requires as input a distribution of the altitude of the studied catchment, as well as time series describing the air temperature among the catchment. 
 
-These models are easily usable thanks to the `r airGRteaching` package [@airGRteaching_man; @airGRteaching_art], developped for the [R software](https://cran.r-project.org/) by the [Catchment Hydrology research group of the HYCAR reaserch unit](https://webgr.inrae.fr/en/home/) ([INRAE](https://www.inrae.fr/en), France).
+These models are easily usable thanks to the `r airGRteaching` package [@airGRteaching_man; @airGRteaching_art], developped for the [R software](https://cran.r-project.org/) by the [Catchment Hydrology research group of the HYCAR research unit](https://webgr.inrae.fr/eng) ([INRAE](https://www.inrae.fr/en), France).
 
 The time series of observed precipitation, air temperature, PE and streamflow can be easily formatted using the `PrepGR()` function. A rainfall-runoff simulation can be performed with the `SimGR()` function, and a parameter calibration using the `CalGR()`.