diff --git a/vignettes/v01_EN_flow_reconstruction.rmd b/vignettes/v01_EN_flow_reconstruction.rmd index 0ad1d27aa8421b22e403110e712ac47feda9530d..aaac7da3c98282132f3f646452197bffccb3d5c9 100644 --- a/vignettes/v01_EN_flow_reconstruction.rmd +++ b/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()`. diff --git a/vignettes/v02_EN_flow_forecasting.rmd b/vignettes/v02_EN_flow_forecasting.rmd index 5b00969bd29bf0ba5a2927f03cb47925904d4f5d..6871953423f4c4de49a5612af0e106bda9d34f8c 100644 --- a/vignettes/v02_EN_flow_forecasting.rmd +++ b/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()`. diff --git a/vignettes/v03_EN_impact_CC_flow.rmd b/vignettes/v03_EN_impact_CC_flow.rmd index 6af2686a8cfb15a86e6a987b94c2829bd0c16d16..1801fb5af743eb7d95ad7175c76d66979d0d3ede 100644 --- a/vignettes/v03_EN_impact_CC_flow.rmd +++ b/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()`.