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https://github.com/mathworks/precipitation-variability-analysis-matlab

Access, process and visualize global climate (precipitation) data from the WCRP CMIP6 database
https://github.com/mathworks/precipitation-variability-analysis-matlab

climate data-visualization jupyter-notebook matlab open-data open-science rainfall-data statistical-tests

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Access, process and visualize global climate (precipitation) data from the WCRP CMIP6 database

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README 

        
[![View precipitation-variability-analysis-matlab on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/160986-precipitation-variability-analysis-matlab)

[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=mathworks/Precipitation-Variability-Analysis-MATLAB&file=Tutorial_LiveScript.mlx)



# Analyzing and Visualizing Open Precipitation Data in MATLAB®



A MATLAB® Live Script with accompanying



-   [Jupyter®

    Notebook](https://github.com/mathworks/Precipitation-Variability-Analysis-MATLAB/blob/main/Tutorial_Jupyter_Notebook.ipynb),



-   [.m

    file](https://github.com/mathworks/Precipitation-Variability-Analysis-MATLAB/blob/main/Tutorial_mfile.m)

    and



-   reproducible [capsule on Code Ocean® with DOI](https://codeocean.com/capsule/0990523/tree/v2) 



to access, process and visualize global climate (precipitation) data

from the WCRP CMIP6 (World Climate Research Programme Coupled

Intercomparison Project - Phase 6) database.



**Get started**



-   No downloads, no installations



-   **[Open directly in MATLAB Online](https://matlab.mathworks.com/open/github/v1?repo=mathworks/Precipitation-Variability-Analysis-MATLAB&file=Analyzing_and_Visualizing_Open_Precipitation_Data.mlx)**



-   Step-by-step tutorial shows how to



    -   Re-use available climate data. **Access a list of openly

        available sources** such as NASA, ECMWF, CMCC



    -   **Query and inspect the metadata** associated with these

        projects using commands directly from MATLAB (RESTful API)



    -   Avoid downloads. **Access specific data** from within the

        database directly and **avoid time-consuming downloads** of

        large data



    -   **[Read NetCDF](https://uk.mathworks.com/help/matlab/network-common-data-form.html) (\*.nc) data** from within MATLAB corresponding to

        specific geospatial parameters (e.g., temperature, precipitation

        flux, sea ice thickness, etc.) 



    -   **Filter, analyze and visualize climate data** using standard

        MATLAB functions, mapping projections, graphical tools and

        statistical methods.



    -   Let others run your code and reproduce your results quickly.

        **Publish the results on GitHub** and **make them accessible**

        using *"Open With MATLAB Online"*



    -   Allow people to cite you! **Generate a DOI** for your code by

        linking your GitHub repository to one of several DOI-generating

        sites.



-   **[Live Script](https://uk.mathworks.com/products/matlab/live-editor.html)** contains **easy-to-use menus** and **interactive

    tools**



-   Available on [**File

    Exchange**](https://uk.mathworks.com/matlabcentral/fileexchange/160986-precipitation-variability-analysis-matlab)

    for directly installing onto your MATLAB path with one click using

    the [Add-Ons

    button](https://www.mathworks.com/help/matlab/matlab_env/get-add-ons.html)



-   Accompanying [**Jupyter notebook** (.ipynb)](https://github.com/mathworks/Precipitation-Variability-Analysis-MATLAB/blob/main/Tutorial_Jupyter_Notebook.ipynb) for use in a Jupyter

    environment. More information on MATLAB kernel

    [here](https://www.mathworks.com/products/reference-architectures/jupyter.html)



-   Accompanying [**Code Ocean reproducible capsule**](https://codeocean.com/capsule/0990523/tree/v2) for one-click

    reproducibility of the code by anyone, including reviewers.



**About the WCRP-CMIP6 Database**



The [Coupled Model Intercomparison

Project](https://www.wcrp-climate.org/wgcm-cmip), began in 1995 under

the auspices of the [World Climate Research Programme

(WCRP)](https://www.wcrp-climate.org/about-wcrp/wcrp-overview). By 2024

it is in its sixth phase (CMIP6). CMIP6 coordinates independent model

intercomparison activities and their

experiments which

have adopted a common infrastructure for collecting, organizing, and

distributing output from models performing common sets of experiments.



The [Earth System Grid Federation](http://esgf.llnl.gov/) (ESGF)

maintains a global system of federated data centers that allow access to

the largest archive of model climate data world-wide. This portal

(), hosted by the [German

Climate Computing

Centre](https://www.dkrz.de/?set_language=en&cl=en) (DKRZ),

is an interface for users to access model data that are distributed in

several data centers, also called data nodes. Such portals provide

access to the output of the climate models contributing to the next

assessment report of the Intergovernmental Panel on Climate

Change [IPCC](http://www.ipcc.ch/). 



**Required Products**



This tutorial uses the following products:



-   [MATLAB®](https://www.mathworks.com/products/matlab.html)



-   [Mapping Toolbox™](https://www.mathworks.com/help/map/index.html)



-   [Statistics and Machine Learning Toolbox™](https://www.mathworks.com/help/stats/)



This code has been developed and tested using MATLAB 2023b



**Note** This tutorial works best when delivered by a tutor. It is

important to highlight best practices when working with Open Data,

publishing Open Code or making research output reproducible.

> ***You can use [this link to download the data](https://aims2.llnl.gov/search?project=CMIP6&activeFacets=%7B%22cf_standard_name%22%3A%22precipitation_flux%22%2C%22frequency%22%3A%22day%22%2C%22source_id%22%3A%22HiRAM-SIT-HR%22%7D) used in this example from the ESGF website***