From 9717f481c7300f3923f98ea75a412c8f4722c155 Mon Sep 17 00:00:00 2001 From: Delaigue Olivier <olivier.delaigue@irstea.fr> Date: Tue, 23 Jul 2024 14:06:03 +0200 Subject: [PATCH] docs(vignette): update english version of webGR URL and fix typo --- vignettes/v01_EN_flow_reconstruction.rmd | 2 +- vignettes/v02_EN_flow_forecasting.rmd | 2 +- vignettes/v03_EN_impact_CC_flow.rmd | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/vignettes/v01_EN_flow_reconstruction.rmd b/vignettes/v01_EN_flow_reconstruction.rmd index 0ad1d27..aaac7da 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 5b00969..6871953 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 6af2686..1801fb5 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()`. -- GitLab