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R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing.

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The R WaterML library is is a free and open-source software package made by Jiri Kadlec that can be used by allowing developers to access to WHOS functionalities WHOS functionalities from their R applications .

You can find here the official homepage of R WaterML library.

With Google Colab and Jupyter notebook web applications is possible to live demonstrate on the web how such a library can be used from a sample R script. Here are the online links:

including Jupyter notebooks.

Jupyter notebook configuration

The following Jupyter notebook is for demonstrating on the web how to structure an R program to connect to WHOS:

https://colab.research.google.com/drive/1SEEBM5LnUbZdhTltNwc2baauL2-hDNXF

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nameWaterML_1.7.1.tar.gz
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nameWHOS-Plata-INA.ipynb
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nameWHOS-Arctic-SYKE.ipynb
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1) Download the above WaterML R library and the Python notebooks you are interested to try in a local folder.

2) Install Docker

3) From that folder, issue the following command to start the Jupyter Notebook as a localhost service.

docker run --rm -p 8888:8888 -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work/ jupyter/r-notebook

4) Read carefully the logs to findout the URL to use in the browser to acces the web GUI. This will be something like:

http://127.0.0.1:8888/?token=my_generated_token

5) Enter the work directory from the left side panel.

6) Open one of the notebook available clicking on the file icon on the left (e.g. WHOS-Plata-INA): the script, along with results and comments should shown in the main panel.

7) Click on Run → Run All Cells to execute the R code on the fly. The first cells will install the provided R WaterML package.

Then, using methods made available by the library, it is shown how it is possible to search and access data from one of the available views of WHOS.

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In particular data from a station managed by INA is finally plotted. Of course this is just a quick sample. An hydrologist could of course expand example given doing further data gathering from the different providers participating in WHOS and then do comprehensive analyse.

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