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Real Time Mesoscale Analysis (RTMA) Post-Processing

def process_rtma_data(filename, model, directory):

This function post-processes RTMA Data and returns an xarray data array of the data.

This post-processing will convert all variable names into a plain language format. 


Required Arguments: 

1) path (String) - The path to the file that has the RTMA Data. 

2) model (String) - Default='rtma'. The RTMA model being used:

RTMA Models
-----------

CONUS = 'rtma'
Alaska = 'ak rtma'
Hawaii = 'hi rtma'
Puerto Rico = 'pr rtma'
Guam = 'gu rtma'

3) directory (String) - The directory path where the RTMA files are saved to. 

Optional Arguments: None

Returns
-------

An xarray data array of the RTMA Dataset with variable keys converted from the GRIB format to a Plain Language format. 

Variable Keys
-------------

'orography'
'surface_pressure'
'2m_temperature'
'2m_dew_point'
'2m_relative_humidity'
'2m_specific_humidity'
'surface_visibility'
'cloud_ceiling_height'
'total_cloud_cover'
'10m_u_wind_component'
'10m_v_wind_component'
'10m_wind_direction'
'10m_wind_speed'
'10m_wind_gust'