Source code for satpy.readers.smos_l2_wind

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2020 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.
# satpy is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
# You should have received a copy of the GNU General Public License along with
# satpy.  If not, see <>.

"""SMOS L2 wind Reader.

Data can be found here after register:
Format documentation at the same site after register:

import logging
from datetime import datetime

import numpy as np
from pyresample.geometry import AreaDefinition

from satpy.readers.netcdf_utils import NetCDF4FileHandler, netCDF4

logger = logging.getLogger(__name__)

[docs]class SMOSL2WINDFileHandler(NetCDF4FileHandler): """File handler for SMOS L2 wind netCDF files.""" @property def start_time(self): """Get start time.""" return datetime.strptime(self['/attr/time_coverage_start'], "%Y-%m-%dT%H:%M:%S Z") @property def end_time(self): """Get end time.""" return datetime.strptime(self['/attr/time_coverage_end'], "%Y-%m-%dT%H:%M:%S Z") @property def platform_shortname(self): """Get platform shortname.""" return self.filename_info['platform_shortname'] @property def platform_name(self): """Get platform.""" return self['/attr/platform']
[docs] def get_metadata(self, data, ds_info): """Get metadata.""" metadata = {} metadata.update(data.attrs) metadata.update(ds_info) metadata.update({ 'platform_shortname': self.platform_shortname, 'platform_name': self.platform_name, 'sensor': self['/attr/instrument'], 'start_time': self.start_time, 'end_time': self.end_time, 'level': self['/attr/processing_level'], }) return metadata
[docs] def available_datasets(self, configured_datasets=None): """Automatically determine datasets provided by this file.""" handled_variables = set() # Iterate over dataset contents for var_name, val in self.file_content.items(): # Only evaluate variables if not isinstance(val, netCDF4.Variable): continue if (var_name in handled_variables): logger.debug("Already handled, skipping: %s", var_name) continue handled_variables.add(var_name) new_info = { 'name': var_name, 'file_type': self.filetype_info['file_type'], } yield True, new_info
def _mask_dataset(self, data): """Mask out fill values.""" try: fill = data.attrs['_FillValue'] data.attrs['_FillValue'] = np.nan return data.where(data != fill) except KeyError: return data def _adjust_lon_coord(self, data): """Adjust lon coordinate to -180 .. 180 ( not 0 .. 360).""" data = data.assign_coords(lon=(((data.lon + 180) % 360) - 180)) return data.where(data < 180., data - 360.) def _rename_coords(self, data): """Rename coords.""" rename_dict = {} if 'lon' in data.dims: data = self._adjust_lon_coord(data) rename_dict['lon'] = 'x' if 'lat' in data.dims: rename_dict['lat'] = 'y' # Rename the coordinates to x and y return data.rename(rename_dict) def _remove_time_coordinate(self, data): """Remove time coordinate.""" # Remove dimension where size is 1, eg. time data = data.squeeze() # Remove if exists time as coordinate if 'time' in data.coords: data = data.drop_vars('time') return data def _roll_dataset_lon_coord(self, data): """Roll dataset along the lon coordinate.""" if 'lon' in data.dims: data = data.roll(lon=720, roll_coords=True) return data
[docs] def get_dataset(self, ds_id, ds_info): """Get dataset.""" data = self[ds_id['name']] data.attrs = self.get_metadata(data, ds_info) data = self._remove_time_coordinate(data) data = self._roll_dataset_lon_coord(data) data = self._rename_coords(data) data = self._mask_dataset(data) if len(data.dims) >= 2 and all([dim in data.dims for dim in ['x', 'y']]): # Remove the first and last row as these values extends beyond +-90 latitude # if the dataset contains the y dimmension. # As this is data over open sea these has no values. data = data.where((data.y > -90.0) & (data.y < 90.0), drop=True) elif len(data.dims) == 1 and 'y' in data.dims: data = data.where((data.y > 0) & (data.y < len(data.y) - 1), drop=True) return data
def _create_area_extent(self, width, height): """Create area extent.""" # Creating a meshgrid, not needed actually, but makes it easy to find extremes _lon = self._adjust_lon_coord(self['lon']) _lon = self._roll_dataset_lon_coord(_lon) latlon = np.meshgrid(_lon, self['lat'][1:self['lat/shape'][0] - 1]) lower_left_x = latlon[0][height - 1][0] - 0.125 lower_left_y = latlon[1][height - 1][0] + 0.125 upper_right_y = latlon[1][1][width - 1] - 0.125 upper_right_x = latlon[0][1][width - 1] + 0.125 return (lower_left_x, lower_left_y, upper_right_x, upper_right_y)
[docs] def get_area_def(self, dsid): """Define AreaDefintion.""" width = self['lon/shape'][0] height = self['lat/shape'][0] - 2 area_extent = self._create_area_extent(width, height) description = "SMOS L2 Wind Equirectangular Projection" area_id = 'smos_eqc' proj_id = 'equirectangular' proj_dict = {'init': self['/attr/geospatial_bounds_vertical_crs']} area_def = AreaDefinition(area_id, description, proj_id, proj_dict, width, height, area_extent, ) return area_def