Difference between revisions of "How to convert data for Geogrid"
| Line 38: | Line 38: | ||
where: | where: | ||
| − | <tt>geotiff_file</tt> - path to a | + | * <tt>geotiff_file</tt> - path to a geotiff file to be converted to geogrid |
| − | + | * <tt>geo_data_path</tt> - any path where to save all the variables | |
| − | <tt>geo_data_path</tt> - any path where to save all the variables | + | * <tt>wrf_variable</tt> - WRF variable created on src/geo/var_wisdom.py |
| − | + | * <tt>bbox</tt> - optional, bounding box to sample the original geotiff file from, using WGS84 coordinates. Format: min_lon,max_lon,min_lat,max_lat | |
| − | <tt>wrf_variable</tt> - variable created on src/geo/var_wisdom.py | ||
| − | |||
| − | <tt>bbox</tt> - optional, bounding box to sample the original geotiff file from using WGS84 coordinates. Format: min_lon,max_lon,min_lat,max_lat | ||
If you want to know more information and the existing options for wrf_variable, run ./convert_geotiff.sh without inputs | If you want to know more information and the existing options for wrf_variable, run ./convert_geotiff.sh without inputs | ||
Revision as of 18:53, 2 July 2020
- Back to the WRF-SFIRE user guide.
This wiki page explains how to transform geotiff files to geogrid using convert_geotiff script in wrfxpy.
Get Anaconda3 distribution
Download and install the Python 3 Anaconda Python distribution for your platform. We recommend an installation into the user's home directory.
wget https://repo.continuum.io/archive/Anaconda3-2019.10-Linux-x86_64.sh chmod +x Anaconda3-2019.10-Linux-x86_64.sh ./Anaconda3-2019.10-Linux-x86_64.sh
Add your environment (~/.custom.csh) the following line
setenv PROJ_LIB "$HOME/anaconda3/share/proj"
or if you are using bash to ~/.profile or ~/.bashrc
export PROJ_LIB="$HOME/anaconda3/share/proj"
Install environment
Create a python environment for gdal compatibility. Shortly this is going to be the environment for wrfxpy installation.
conda create -n wrfxpy python=3 gdal netcdf4 pyproj paramiko dill scikit-learn h5py pandas psutil proj4 conda activate wrfxpy conda install -c conda-forge simplekml pygrib f90nml pyhdf xmltodict basemap pip install MesoPy python-cmr
Note that conda and pip are package managers available in the Anaconda Python distribution.
Get wrfxpy repository
Get repository wrfxpy and checkout to convert_geotiff branch. Shortly, it is going to be available in the master branch.
git clone https://github.com/openwfm/wrfxpy git checkout convert_geotiff
Run convert_geotiff.sh
Run the code to generate geogrid from geotiff files. Run the following line for each variable to process.
./convert_geotiff.sh geotiff_file geo_data_path wrf_variable_name [bbox]
where:
- geotiff_file - path to a geotiff file to be converted to geogrid
- geo_data_path - any path where to save all the variables
- wrf_variable - WRF variable created on src/geo/var_wisdom.py
- bbox - optional, bounding box to sample the original geotiff file from, using WGS84 coordinates. Format: min_lon,max_lon,min_lat,max_lat
If you want to know more information and the existing options for wrf_variable, run ./convert_geotiff.sh without inputs
./convert_geotiff.sh
Some examples:
./convert_geotiff.sh elevation.tif geo_data ZSF ./convert_geotiff.sh fuel.tif geo_data NFUEL_CAT ./convert_geotiff.sh ./fuel.tif ./geo_data NFUEL_CAT -112.8115,-112.1661,39.4820,39.9750
See the github repository for convert_geotiff for the latest documentation and source code.