#/usr/bin/env python # encoding: utf-8 """ This configuration describes GOES-R product variable names in the AIT Framework. Created by Zhaohui Zhang in 2014. Copyright (c) 2014 NOAA/NESDIS/STAR All rights reserved. """ # various general settings to control how reports are created settings = {} # whether or not images should be generated and shown in the report settings['shouldIncludeImages'] = True # should we create multiple processes to make more than one image at a time? # turning on this option can cause glance to use a very large amount of system # resources (if your data set is particularly large, your machine may not have # enough), but will speed up image generation in cases where your data set is # relatively small or your machine is very powerful settings['doFork'] = False # per variable defaults defaultValues = { #'do_plot_hex': False, # this default is for our variables, type variables # like cloud mask will have individual epsilons # definied in their entries below #'epsilon': 0.0008, # we will accept up to 1% of difference between the files # before we start looking more carefully at the problem #'epsilon_failure_tolerance': 0.00001, # we will not accept any non finite data difference between the files #'nonfinite_data_tolerance': 0.01, # we only need to see plots of the variable data if the # variable fails comparison # 'only_plot_on_fail': True } # a list of all the variables to analyze setOfVariables = {} # general variables #setOfVariables[''] = { # 'variable_name': '', # } setOfVariables['lat_ge'] = { 'variable_name': 'lat_ge', 'epsilon': 0.001806690, } setOfVariables['lon_ge'] = { 'variable_name': 'lon_ge', 'epsilon': 0.009937640, } setOfVariables['lat_gw'] = { 'variable_name': 'lat_gw', 'epsilon': 0.003705470, } setOfVariables['lon_gw'] = { 'variable_name': 'lon_gw', 'epsilon': 0.01095610, } setOfVariables['pm25sat_ge'] = { 'variable_name': 'pm25sat_ge', 'epsilon': 0.0008945940, } setOfVariables['pm25sat_gw'] = { 'variable_name': 'pm25sat_gw', 'epsilon': 0.001735820, } setOfVariables['abi_aod_ge'] = { 'variable_name': 'abi_aod_ge', 'epsilon': 0.000006650460, } setOfVariables['abi_aod_gw'] = { 'variable_name': 'abi_aod_gw', 'epsilon': 0.000005846630, } setOfVariables['slope_ge'] = { 'variable_name': 'slope_ge', 'epsilon': 0.001608230, } setOfVariables['intercept_ge'] = { 'variable_name': 'intercept_ge', 'epsilon': 0.0007843320, } setOfVariables['slope_gw'] = { 'variable_name': 'slope_gw', 'epsilon': 0.009542220, } setOfVariables['intercept_gw'] = { 'variable_name': 'intercept_gw', 'epsilon': 0.001530140, } setOfVariables['smoke_dust_mask_ge'] = { 'variable_name': 'smoke_dust_mask_ge', 'epsilon': 0.0, } setOfVariables['smoke_dust_mask_gw'] = { 'variable_name': 'smoke_dust_mask_gw', 'epsilon': 0.0, } setOfVariables['count_aod_ge'] = { 'variable_name': 'count_aod_ge', 'epsilon': 0.00030, } setOfVariables['count_aod_gw'] = { 'variable_name': 'count_aod_gw', 'epsilon': 0.0, } setOfVariables['count_cm_ge'] = { 'variable_name': 'count_cm_ge', 'epsilon': 0.00050, } setOfVariables['count_cm_gw'] = { 'variable_name': 'count_cm_gw', 'epsilon': 0.00040, }