National Water Model output to GSSHA input (NWMtoGSSHA)¶
http://water.noaa.gov/about/nwm
NWMtoGSSHA¶
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class
gsshapy.grid.
NWMtoGSSHA
(gssha_project_folder, gssha_project_file_name, lsm_input_folder_path, lsm_search_card='*.nc', lsm_lat_var='y', lsm_lon_var='x', lsm_time_var='time', lsm_lat_dim='y', lsm_lon_dim='x', lsm_time_dim='time', output_timezone=None)[source]¶ Bases:
gsshapy.grid.grid_to_gssha.GRIDtoGSSHA
This class converts the National Water Model output data to GSSHA formatted input. This class inherits from class:GRIDtoGSSHA.
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gssha_project_folder
¶ str
– Path to the GSSHA project folder
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gssha_project_file_name
¶ str
– Name of the GSSHA elevation grid file.
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lsm_input_folder_path
¶ str
– Path to the input folder for the LSM files.
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lsm_lat_var
¶ Optional[
str
] – Name of the latitude variable in the LSM netCDF files. Defaults to ‘lat’.
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lsm_lon_var
¶ Optional[
str
] – Name of the longitude variable in the LSM netCDF files. Defaults to ‘lon’.
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lsm_time_var
¶ Optional[
str
] – Name of the time variable in the LSM netCDF files. Defaults to ‘time’.
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lsm_lat_dim
¶ Optional[
str
] – Name of the latitude dimension in the LSM netCDF files. Defaults to ‘lat’.
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lsm_lon_dim
¶ Optional[
str
] – Name of the longitude dimension in the LSM netCDF files. Defaults to ‘lon’.
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lsm_time_dim
¶ Optional[
str
] – Name of the time dimension in the LSM netCDF files. Defaults to ‘time’.
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output_timezone
¶ Optional[
tzinfo
] – This is the timezone to output the dates for the data. Default is he GSSHA model timezone. This option does NOT currently work for NetCDF output.
Example:
from datetime import datetime from gsshapy.grid import NWMtoGSSHA n2g = NWMtoGSSHA(gssha_project_folder='E:\GSSHA', gssha_project_file_name='gssha.prj', lsm_input_folder_path='E:\GSSHA\nwm-data', lsm_search_card="*.grib") # example rain gage out_gage_file = 'E:\GSSHA\nwm_rain1.gag' n2g.lsm_precip_to_gssha_precip_gage(out_gage_file, lsm_data_var="RAINRATE", precip_type="RADAR") # example data var map array # WARNING: This is not complete data_var_map_array = [ ['precipitation_rate', 'RAINRATE'], ['pressure', 'PSFC'], ['relative_humidity', ['Q2D','T2D', 'PSFC']], ['wind_speed', ['U2D', 'V2D']], ['direct_radiation', 'SWDOWN'], # ??? ['diffusive_radiation', 'SWDOWN'], # ??? ['temperature', 'T2D'], ['cloud_cover', '????'], ] e2g.lsm_data_to_arc_ascii(data_var_map_array)
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