Details / Slides / Check / Resources / R at vEGU2021 / Citation

Conveners: Katie Smith, Louise Slater, Guillaume Thirel, Ilaria Prosdocimi and Abdou Khouakhi

• Where? Wednesday 28 April, 10:00-11:00 CEST using Zoom webinar platform (link to zoom meeting in the session page)
• Using R in Hydrology vEGU21 (link to session)
• What? This session is aimed at hydrologists who are interested in hearing more about R as well as those who are advanced R programmers wanting to discuss recent developments in an open environment.
• The session is organised in cooperation with the Young Hydrologic Society (YHS) .
• Participants are invited to post and discuss questions in the Hydrology in R Facebook group

All materials to reproduce the slides and analyses are available on this repository. To get everything (slides, data, code, etc.) onto your local machine, we recommend to download the whole github course repository.

Individual presentations (.html or PDF files) can be downloaded from the presentations folder and viewed in a web browser.

Links to individual presentations (for direct view in browser) are below:

• Course intro // K. Smith
• Data Retrieval // L. Slater
• Extremes Modelling // I. Prosdocimi
• Hydrological Modelling // G. Thirel
• Hydrological Forecasting // K. Smith
• Google Earth Enigne // A.Khouakhi

To follow along during the session, participants need:

• A Google Earth Engine (GEE) account to be able to use rgee to access GEE data and computational capabilities.
• To install rgee package and its dependencies - install.packages ("rgee")- and run ee_install() in the console to help setup rgee. Details on how to setup and initialize GEE from within R can be found here

participants may wish also to install the following packages before the session: install.packages(c( "tidyverse", "sf", "leaflet", "ncdf4","lubridate", "ggplot2", "raster", "rgdal", "stars","rgee","cptcity"))

• Slater et al. 2019, Using R in Hydrology: a review of recent developments and future directions, HESS
• Astagneau et al. 2021, Hydrology modelling R packages: a unified analysis of models and practicalities from a user perspective, HESSD
• CRAN Hydrology TaskView
• airGR - a description of the airGR package (INRAE GR Hydrological Models)
• hddtools - an R package to facilitate access to a variety of online open data sources for hydrologists
• rgee - An R binding package for calling Google Earth Engine API from within R

There are a number of other short courses using R that may be of interest to you:

• CoSMoS R-package: Simulating random fields and univariate or multivariate timeseries in hydroclimatology and beyond

Please refer to this course as:

• Katie Smith, Louise Slater, Guillaume Thirel, Ilaria Prosdocimi, Abdou Khouakhi. (2021, April). Using R in Hydrology at vEGU2021