Source code for satpy.readers.hy2_scat_l2b_h5

# -*- coding: utf-8 -*-
# Copyright (c) 2020,2021 Satpy developers
#
# This file is part of satpy.
#
# satpy is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
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# A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
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"""HY-2B L2B Reader.

Distributed by Eumetsat in HDF5 format.
Also handle the HDF5 files from NSOAS, based on a file example.
"""

from datetime import datetime

import numpy as np
import xarray as xr

from satpy.readers.hdf5_utils import HDF5FileHandler


[docs]class HY2SCATL2BH5FileHandler(HDF5FileHandler): """File handler for HY2 scat.""" @property def start_time(self): """Time for first observation.""" return datetime.strptime(self['/attr/Range_Beginning_Time'], '%Y%m%dT%H:%M:%S') @property def end_time(self): """Time for final observation.""" return datetime.strptime(self['/attr/Range_Ending_Time'], '%Y%m%dT%H:%M:%S') @property def platform_name(self): """Get the Platform ShortName.""" return self['/attr/Platform_ShortName']
[docs] def get_variable_metadata(self): """Get the variable metadata.""" info = getattr(self, 'attrs', {}) info.update({ "Equator_Crossing_Longitude": self['/attr/Equator_Crossing_Longitude'], "Equator_Crossing_Time": self['/attr/Equator_Crossing_Time'], "Input_L2A_Filename": self['/attr/Input_L2A_Filename'], "L2B_Actual_WVC_Rows": self['/attr/L2B_Actual_WVC_Rows'], "Orbit_Inclination": self['/attr/Orbit_Inclination'], "Orbit_Number": self['/attr/Orbit_Number'], "Output_L2B_Filename": self['/attr/Output_L2B_Filename'], "Production_Date_Time": self['/attr/Production_Date_Time'], "L2B_Expected_WVC_Rows": self['/attr/L2B_Expected_WVC_Rows'] }) try: info.update({"L2B_Number_WVC_cells": self['/attr/L2B_Number_WVC_cells']}) except KeyError: info.update({"L2B_Expected_WVC_Cells": self['/attr/L2B_Expected_WVC_Cells']}) return info
[docs] def get_metadata(self): """Get the metadata.""" info = getattr(self, 'attrs', {}) info.update({ "WVC_Size": self['/attr/WVC_Size'], "HDF_Version_Id": self['/attr/HDF_Version_Id'], "Instrument_ShorName": self['/attr/Instrument_ShorName'], "L2A_Inputdata_Version": self['/attr/L2A_Inputdata_Version'], "L2B_Algorithm_Descriptor": self['/attr/L2B_Algorithm_Descriptor'], "L2B_Data_Version": self['/attr/L2B_Data_Version'], "L2B_Processing_Type": self['/attr/L2B_Processing_Type'], "L2B_Processor_Name": self['/attr/L2B_Processor_Name'], "L2B_Processor_Version": self['/attr/L2B_Processor_Version'], "Long_Name": self['/attr/Long_Name'], "Platform_LongName": self['/attr/Platform_LongName'], "Platform_ShortName": self['/attr/Platform_ShortName'], "Platform_Type": self['/attr/Platform_Type'], "Producer_Agency": self['/attr/Producer_Agency'], "Producer_Institution": self['/attr/Producer_Institution'], "Rev_Orbit_Perio": self['/attr/Rev_Orbit_Period'], "Short_Name": self['/attr/Short_Name'], "Sigma0_Granularity": self['/attr/Sigma0_Granularity'], }) return info
[docs] def get_dataset(self, key, info): """Get the dataset.""" dims = ['y', 'x'] if self[key['name']].ndim == 3: dims = ['y', 'x', 'selection'] data = self[key['name']] if "valid range" in data.attrs: data.attrs.update({'valid_range': data.attrs.pop('valid range')}) if key['name'] in 'wvc_row_time': data = data.rename({data.dims[0]: 'y'}) else: dim_map = {curr_dim: new_dim for curr_dim, new_dim in zip(data.dims, dims)} data = data.rename(dim_map) data = self._mask_data(key['name'], data) data = self._scale_data(key['name'], data) if key['name'] in 'wvc_lon': data = xr.where(data > 180, data - 360., data) data.attrs.update(info) data.attrs.update(self.get_metadata()) data.attrs.update(self.get_variable_metadata()) if "Platform_ShortName" in data.attrs: data.attrs.update({'platform_name': data.attrs['Platform_ShortName']}) return data
def _scale_data(self, key_name, data): return data * self[key_name].attrs['scale_factor'] + self[key_name].attrs['add_offset'] def _mask_data(self, key_name, data): data = xr.where(data == self[key_name].attrs['fill_value'], np.nan, data) valid_range = self[key_name].attrs['valid_range'] data = xr.where(data < valid_range[0], np.nan, data) data = xr.where(data > valid_range[1], np.nan, data) return data