def _interpolate_to_cloudnet_grid():
wl_band = utils.get_wl_band(data['radar'].radar_frequency)
data['model'].interpolate_to_common_height(wl_band)
data['model'].interpolate_to_grid(time, height)
data['mwr'].rebin_to_grid(time)
data['radar'].rebin_to_grid(time)
data['lidar'].rebin_to_grid(time, height)
def __init__(self, categorize_file):
super().__init__(categorize_file)
self.wl_band = utils.get_wl_band(self.getvar('radar_frequency'))
self.spec_liq_atten = self._get_approximate_specific_liquid_atten()
self.coeffs = self._get_iwc_coeffs()
self.z_factor = self._get_z_factor()
self.temperature = self._get_temperature_field(categorize_file)
self.mean_temperature = self._get_mean_temperature()
def __init__(self, radar_file):
super().__init__(radar_file, radar=True)
self.radar_frequency = float(
self.getvar('radar_frequency', 'frequency'))
self.wl_band = utils.get_wl_band(self.radar_frequency)
self.folding_velocity = self._get_folding_velocity()
self.sequence_indices = self._get_sequence_indices()
self.location = getattr(self.dataset, 'location', '')
self.type = getattr(self.dataset, 'source', '')
self._netcdf_to_cloudnet(('v', 'width', 'ldr'))
self._unknown_to_cloudnet(('Zh', 'Zv', 'Ze'), 'Z', units='dBZ')
self._init_sigma_v()
def _interpolate_to_cloudnet_grid() -> list:
wl_band = utils.get_wl_band(data["radar"].radar_frequency)
data["model"].interpolate_to_common_height(wl_band)
data["model"].interpolate_to_grid(time, height)
data["mwr"].rebin_to_grid(time)
radar_data_gap_indices = data["radar"].rebin_to_grid(time)
lidar_data_gap_indices = data["lidar"].interpolate_to_grid(
time, height)
bad_time_indices = list(
set(radar_data_gap_indices + lidar_data_gap_indices))
valid_ind = [
ind for ind in range(len(time)) if ind not in bad_time_indices
]
return valid_ind
def test_get_wl_band(frequency, band):
assert utils.get_wl_band(frequency) == band
def __init__(self, categorize_file: str):
super().__init__(categorize_file)
self.wl_band = utils.get_wl_band(float(self.getvar("radar_frequency")))
self.coeffs = self._get_iwc_coeffs()
self.z_factor = self._get_z_factor()
self.temperature = self._get_temperature(categorize_file)
def _get_wl_band(self):
"""Returns string corresponding the radar frequency."""
radar_frequency = self.getvar('radar_frequency')
wl_band = utils.get_wl_band(radar_frequency)
return '35' if wl_band == 0 else '94'
def _get_wl_band(self):
"""Returns string corresponding the radar frequency."""
radar_frequency = float(self.getvar("radar_frequency"))
wl_band = utils.get_wl_band(radar_frequency)
return "35" if wl_band == 0 else "94"