Difference between revisions of "How to convert data for Geogrid"
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This wiki page explains how to transform geotiff files to geogrid using convert_geotiff script in [https://github.com/openwfm/wrfxpy.git wrfxpy]. | This wiki page explains how to transform geotiff files to geogrid using convert_geotiff script in [https://github.com/openwfm/wrfxpy.git wrfxpy]. | ||
− | + | == Get Anaconda3 distribution == | |
− | + | Download and install the Python 3 [https://www.anaconda.com/products/individual Anaconda Python] distribution for your platform. We recommend an installation into the user's home directory. | |
− | + | == Install environment == | |
− | + | Create the python environment: | |
+ | <pre> | ||
+ | conda update -n base -c defaults conda | ||
+ | conda create -n wrfx python=3 gdal netcdf4 pyproj paramiko dill h5py psutil proj4 pytz flask pandas | ||
+ | conda activate wrfx | ||
+ | conda install -c conda-forge simplekml pygrib f90nml pyhdf xmltodict basemap rasterio scipy | ||
+ | pip install MesoPy python-cmr | ||
+ | </pre> | ||
− | + | Note that <tt>conda</tt> and <tt>pip</tt> 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 | ||
+ | cd 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: | ||
+ | |||
+ | * <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>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 | ||
+ | |||
+ | 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 | ||
+ | |||
+ | == Results from convert_geotiff.sh == | ||
+ | |||
+ | The convert_geotiff.sh script will generate a folder specified by the user by <tt>geo_data_path</tt> with | ||
+ | |||
+ | * '''Variable folders:''' A folder for each variable previously run (ZSF and NFUEL_CAT folders) containing: | ||
+ | ** a geogrid file of the variable. | ||
+ | ** an index file of the variable. | ||
+ | * '''geogrid_tbl.json:''' A JSON file with all the geogrid information for each variable. | ||
+ | * '''GEOGRID.TBL:''' A text file with the information to add to GEOGRID.TBL (depends on src/geo/var_wisdom.py, so only copy what you need). | ||
+ | * '''index.json:''' A JSON file with index information for each variable. | ||
[[Category:WRF-Fire]] | [[Category:WRF-Fire]] | ||
[[Category:Howtos|Convert data for Geogrid]] | [[Category:Howtos|Convert data for Geogrid]] | ||
[[Category:Data]] | [[Category:Data]] |
Latest revision as of 01:59, 17 February 2021
- 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.
Install environment
Create the python environment:
conda update -n base -c defaults conda conda create -n wrfx python=3 gdal netcdf4 pyproj paramiko dill h5py psutil proj4 pytz flask pandas conda activate wrfx conda install -c conda-forge simplekml pygrib f90nml pyhdf xmltodict basemap rasterio scipy 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 cd 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
Results from convert_geotiff.sh
The convert_geotiff.sh script will generate a folder specified by the user by geo_data_path with
- Variable folders: A folder for each variable previously run (ZSF and NFUEL_CAT folders) containing:
- a geogrid file of the variable.
- an index file of the variable.
- geogrid_tbl.json: A JSON file with all the geogrid information for each variable.
- GEOGRID.TBL: A text file with the information to add to GEOGRID.TBL (depends on src/geo/var_wisdom.py, so only copy what you need).
- index.json: A JSON file with index information for each variable.