mesoda

This repository contains the data and code for our paper:

Corrales et. at., (2023). Hourly Assimilation of Different Sources of Observations Including Satellite Radiances in a Mesoscale Convective System Case During RELAMPAGO campaign. Atmospheric Research, 281, 106456. https://doi.org/10.1016/j.atmosres.2022.106456

How to cite

Please cite this compendium as:

Corrales, P., et. al., (2022). Compendium of R code for Hourly Assimilation of Different Sources of Observations Including Satellite Radiances in a Mesoscale Convective System Case During RELAMPAGO campaign.

Contents

The analysis directory contains:

• 📁 paper: R Markdown source document for manuscript. Includes code to reproduce the figures and tables generated by the analysis. It also has a rendered version, paper.pdf, suitable for reading (the code is replaced by figures and tables in this file)
• 📁 data: Derived data used in the analysis. Raw data is available upon request.
• 📁 figures: Plots and other illustrations

Running the code

Clone this repo. If using RStudio, open the project.

Installing system dependencies

System dependencies (on ubuntu) are listd in system-deps.txt. To install them you can use

xargs sudo apt-get install -y < system-deps.txt

Installing R packages

This project uses the renv package to manage a reproducible environment. If opening this project with RStudio or starting R from the command line from the root directory, renv should automagically install and load itself.

To recreate the environment then run

renv::restore()

This should install all the package dependencies needed to install the package and compile the document. Depending on your operating system, this could take a while.

Then install this package with

if (!require("devtools")) {
   install.packages("devtools")
}
devtools::install()

Getting the data

To get the data needed to reproduce this paper is openly available in Zenodo at http://doi.org/10.5281/zenodo.7015913, version 0.9.2. You can download it running the analysis/paper/download_derived-data.R. The data will be stored in analysis/data/derived_data.

Finally, knit the main manuscript located at analysis/paper/paper_ana_20181122.Rmd.