Using R to analyze GEOS-Chem data

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On this page we include a tutorial about how to use the R programming language to analyze GEOS-Chem data.

Amos Tai <amostai@cuhk.edu.hk> wrote (Jan 2013):

I have prepared a tutorial for using R to analyze GEOS-Chem and atmospheric data in the package:

  R_Intro_for_Atmos_Sci

with the tutorial R script file and test data:

  R_Intro_1.R
  R_Intro_2.R
  PM25_met_Ohio_201007.txt
  PM25_T_daily_US_201007.RData

and an introductory guide to R for MATLAB users:

  R_for_Matlab_Users.pdf

I have also written many R functions suitable for analyzing 2D and 3D GEOS-Chem, EPA and meteorological data in these source files (revised periodically):

  get_geo.R (for spatial analysis and visualization: e.g. interpolation, regridding, mapping, etc.)
  get_met.R (for handling time series and meteorological data: e.g. moving average, monthly statistics, etc.)
  get_stat.R (for statistical and numerical methods: e.g. optimization, regression, cumulative probability, etc.)
  get_EPA.R (for handling EPA air quality data)

The files include detailed instructions for each function. They can be used by sourcing in the R environment:

  > source('get_geo.R')

These functions will be revised and updated from time to time. Feel free to download and use!