The package provides readers and converters for the Land Surface Diagnostics within the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). MERRA-2 is a NASA atmospheric reanalysis integrating satellite data assimilation and aims at historical climate analyses. MERRA-2 covers Land Surface Diagnostics for the period 1980-present at 0.5 ° x 0.625 ° spatial- and 1-hourly temporal-resolution.
The structure of the package is as follows:
- grid.py : implements the asymmetrical GMAO 0.5 x 0.625 grid
- interface.py : classes for reading a single image, image stacks and time series
- reshuffle.py : provides a command line utility for reshuffling a stack of 1-hourly sampled native images to time series format with an arbitraty temporal sampling between 1-hour and daily
- download.py : command line utility for downloading MERRA-2 data from the NASA GES DISC datapool
For developers, it is recommended to first clone the repository and then use the provided environment.yml file to install all needed conda and pip dependencies:
git clone https://github.com/TUW-GEO/merra.git --recursive
cd merra
conda create -n merra python=3.7 # or any supported python version
source activate merra
conda update -f environment.yml
python setup.py develop- M2T1NXLND: MERRA-2 tavg1_2d_lnd_Nx: MERRA-2 2d, 1-Hourly, Time-Averaged, Single-Level, Assimilation, Land Surface Diagnostics V5.12.4
We are happy if you want to contribute. Please raise an issue explaining what is missing or if you find a bug. We will also gladly accept pull requests against our master branch for new features or bug fixes.
If you want to contribute please follow these steps:
- Fork the merra repository to your account
- make a new feature branch from the merra master branch
- Add your feature
- please include tests for your contributions in one of the test directories We use py.test so a simple function called test_my_feature is enough
- submit a pull request to our master branch