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Check lat lon #13

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Check lat lon #13

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5434843
include lat and lon in bmi
CryoECNU May 22, 2018
5b05be9
compare latitude and longitude BMI
CryoECNU Jun 6, 2018
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6 changes: 6 additions & 0 deletions cruAKtemp/bmi_cruAKtemp.py
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Original file line number Diff line number Diff line change
Expand Up @@ -53,13 +53,17 @@ def __init__(self):
)

self._var_name_map = {
'latitude': '_latitude',
'longitude': '_longitude',
'atmosphere_bottom_air__temperature': 'T_air',
'atmosphere_bottom_air__temperature_mean_jan': 'T_air_prior_jan',
'atmosphere_bottom_air__temperature_mean_jul': 'T_air_prior_jul',
'atmosphere_bottom_air__temperature_year': 'T_air_prior_year'
}

self._var_units_map = {
'latitude': 'degree_north',
'longitude': 'degree_east',
'atmosphere_bottom_air__temperature': 'deg_C',
'atmosphere_bottom_air__temperature_mean_jan': 'deg_C',
'atmosphere_bottom_air__temperature_mean_jul': 'deg_C',
Expand Down Expand Up @@ -97,6 +101,8 @@ def initialize(self, cfg_file=None):
self._values = {
# These are the links to the model's variables and
# should be consistent with _var_name_map
'latitude': self._model._latitude,
'longitude': self._model._longitude,
'atmosphere_bottom_air__temperature': self._model.T_air,
'atmosphere_bottom_air__temperature_mean_jan': self._model.T_air_prior_jan,
'atmosphere_bottom_air__temperature_mean_jul': self._model.T_air_prior_jul,
Expand Down
59 changes: 59 additions & 0 deletions cruAKtemp/examples/checking_cru_lat_lon.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,59 @@
"""
couple_cru_KUGeo.py

Example that couples cruAKtemp to KUGeo!

"""

from __future__ import print_function

import numpy as np
from netCDF4 import Dataset

from cruAKtemp.bmi_cruAKtemp import BmiCruAKtempMethod
from cruAKtemp.tests import data_directory

# Initial both components with local config files
cru_config_file = "default_temperature.cfg"

cru = BmiCruAKtempMethod()

cru.initialize(cru_config_file)

n_x_0 = cru._model._nc_i0
n_y_0 = cru._model._nc_j0
n_x_1 = cru._model._nc_i1
n_y_1 = cru._model._nc_j1

t = cru.get_current_time()

lat = cru.get_value('latitude')
lon = cru.get_value('longitude')
tmp = cru.get_value('atmosphere_bottom_air__temperature')

tmp = np.ma.masked_less_equal(tmp, -90.)

#print ('from BMI:', lat.max(),lat.min(), tmp.max(), tmp.min())

example_filename = data_directory + '/'+'cru_alaska_lowres_temperature.nc'

# First: check the exact extent by column and row:

ncid = Dataset(example_filename)

lat_raw = ncid.variables['lat'][n_y_0:n_y_1,n_x_0:n_x_1]
lon_raw = ncid.variables['lon'][n_y_0:n_y_1,n_x_0:n_x_1]
lon_raw = ncid.variables['lon'][n_y_0:n_y_1,n_x_0:n_x_1]
tmp_raw = ncid.variables['temp'][0,n_y_0:n_y_1,n_x_0:n_x_1]

tmp_raw = np.ma.masked_less_equal(tmp_raw, -90.)

#print ('netCDF:', lat_raw.max(),lat_raw.min(), tmp_raw.max(), tmp_raw.min())

lat_cmp = np.abs(lat_raw - lat)
lon_cmp = np.abs(lon_raw - lon)
tmp_cmp = np.abs(tmp_raw - tmp)

if (lat_cmp.max()>1E-7 or lon_cmp.max()>1E-7):
raise RuntimeError('Error')