""" This function returns a string with 3 decimal places, given the input x"""
return '%.7f' % x
xformatter = FuncFormatter(form2)
yformatter = FuncFormatter(form5)
#get species from current directory
present_dir = os.getcwd()
obs_fname,species,start_year,end_year,vres,timeres = modules.get_obs_info(present_dir)
model_fname,species,start_year,end_year = modules.get_model_info(present_dir)
obs_refs,obs_raw_time,obs_ref_time,obs_datetime_time,obs_std_var,obs_lats,obs_lons,obs_alt,obs_gap_inds = modules.read_obs_all(obs_fname,species,start_year,end_year)
model_raw_time,model_ref_time,model_datetime_time,model_std_var,lat_e,lon_e,lat_c,lon_c,grid_size,gridbox_count = modules.read_model_all(model_fname,species,start_year,end_year)
#get obs lat_lon grid central points
obs_lats_centre, obs_lons_centre, model_indices = modules.grid_obs_centre_convergance(lat_e,lon_e,obs_lats,obs_lons)
#get observational location tags
#EU = europe, AF = africa, NA = north america, SA = south america, ANT = antarctica, ARC = arctic, O = oceanic, OC = oceania, AS = asia
tags = modules.get_tags(np.copy(obs_refs))
#--------------------------------------------------------
#load in periodic lsp data
obs_period_grp = Dataset('../obs_%s_%s/obs_sig_periods.nc'%(vres,timeres))
model_period_grp = Dataset('model_sig_periods.nc')
obs_daily_waveforms = []
obs_seasonal_waveforms = []
model_daily_waveforms = []
model_seasonal_waveforms = []
obs_co_lons = np.append(obs_co_lons, obs_site_group.longitude)
obs_co_alt = np.append(obs_co_alt, obs_site_group.altitude)
obs_co_date = obs_site_group.variables['date'][:]
obs_co_time = obs_site_group.variables['time'][:]
for i in range(len(obs_o3_refs)):
obs_o3_refs[i] = obs_o3_refs[i].lower()
for i in range(len(obs_no2_refs)):
obs_no2_refs[i] = obs_no2_refs[i].lower()
for i in range(len(obs_co_refs)):
obs_co_refs[i] = obs_co_refs[i].lower()
#get obs lat_lon grid central points
obs_o3_lats_centre, obs_o3_lons_centre, model_o3_indices = modules.grid_obs_centre_convergance(
lat_e, lon_e, obs_o3_lats, obs_o3_lons)
obs_no2_lats_centre, obs_no2_lons_centre, model_no2_indices = modules.grid_obs_centre_convergance(
lat_e, lon_e, obs_no2_lats, obs_no2_lons)
obs_co_lats_centre, obs_co_lons_centre, model_co_indices = modules.grid_obs_centre_convergance(
lat_e, lon_e, obs_co_lats, obs_co_lons)
#get observational location tags
#EU = europe, AF = africa, NA = north america, SA = south america, ANT = antarctica, ARC = arctic, O = oceanic, OC = oceania, AS = asia
obs_o3_tags = modules.get_tags(obs_o3_refs)
obs_no2_tags = modules.get_tags(obs_no2_refs)
obs_co_tags = modules.get_tags(obs_co_refs)
#cut model data
model_o3_data = model_o3_var[:, model_o3_indices[:, 0], model_o3_indices[:, 1]]
model_no2_data = model_no2_var[:, model_no2_indices[:, 0],
model_no2_indices[:, 1]]
#get species from current directory
present_dir = os.getcwd()
obs_fname, species, start_year, end_year, vres, timeres = modules.get_obs_info(
present_dir)
model_fname, species, start_year, end_year = modules.get_model_info(
present_dir)
obs_refs, obs_raw_time, obs_ref_time, obs_datetime_time, obs_std_var, obs_lats, obs_lons, obs_alt, obs_gap_inds = modules.read_obs_all(
obs_fname, species, start_year, end_year)
model_raw_time, model_ref_time, model_datetime_time, model_std_var, lat_e, lon_e, lat_c, lon_c, grid_size, gridbox_count = modules.read_model_all(
model_fname, species, start_year, end_year)
#get obs lat_lon grid central points
obs_lats_centre, obs_lons_centre, model_indices = modules.grid_obs_centre_convergance(
lat_e, lon_e, obs_lats, obs_lons)
#get observational location tags
#EU = europe, AF = africa, NA = north america, SA = south america, ANT = antarctica, ARC = arctic, O = oceanic, OC = oceania, AS = asia
tags = modules.get_tags(np.copy(obs_refs))
#--------------------------------------------------------
#load in periodic lsp data
obs_period_grp = Dataset('../obs_%s_%s/obs_sig_periods.nc' % (vres, timeres))
model_period_grp = Dataset('model_sig_periods.nc')
obs_d_waveform = []
obs_s_waveform = []
obs_all_waveform = []
model_d_waveform = []
model_s_waveform = []
obs_site_group = obs_ts_grp.groups[ref]
obs_country_o3 = np.append(obs_country_o3,obs_site_group.country)
obs_o3.append(obs_site_group.variables[species.lower()][:])
obs_lats_o3 = np.append(obs_lats_o3,obs_site_group.latitude)
obs_lons_o3 = np.append(obs_lons_o3,obs_site_group.longitude)
obs_alt_o3 = np.append(obs_alt_o3,obs_site_group.altitude)
obs_date = obs_site_group.variables['date'][:]
obs_time = obs_site_group.variables['time'][:]
obs_date = obs_site_group.variables['date'][:]
obs_time = obs_site_group.variables['time'][:]
for i in range(len(obs_refs_o3)):
obs_refs_o3[i] = obs_refs_o3[i].lower()
#get obs lat_lon grid central points
obs_lats_centre, obs_lons_centre, geoschem_model_indices = modules.grid_obs_centre_convergance(geoschem_lat_e,geoschem_lon_e,obs_lats_o3,obs_lons_o3)
#get observational location tags
#EU = europe, AF = africa, NA = north america, SA = south america, ANT = antarctica, ARC = arctic, O = oceanic, OC = oceania, AS = asia
tags_o3 = modules.get_tags(obs_refs_o3)
#cut model data
geoschem_o3 = geoschem_o3[:,geoschem_model_indices[:,0],geoschem_model_indices[:,1]]
obs_o3 = np.array(obs_o3)
#--------------------------------------------------
areas = ['ANT','S_O','OC','AF','SA','NE_NA','CE_NA','SE_NA','S_NA','SW_NA','NW_NA','C_NA','S_EU','C_EU','NW_EU','N_EU','E_EU','NE_AS','SE_AS','C_AS','S_AS','N_O','AL','ARC']
area_boundaries,area_tags,area_labels = modules.area_dicts()
fig, axes = plt.subplots(nrows=5, ncols=5,figsize=(19,13))