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#!/usr/bin/env python
#
# -*- coding: utf-8 -*-
#
# Copyright (c) 2013-2022 Pytroll developers
#
#
# This program 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.
#
# This program 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 this program. If not, see <http://www.gnu.org/licenses/>.
"""Interface to the SEVIRI spectral response functions for all four MSG satellites."""
import logging
import os
import numpy as np
import pkg_resources
from scipy.integrate import trapezoid
from xlrd import open_workbook
from pyspectral.config import get_config
LOG = logging.getLogger(__name__)
DATA_PATH = pkg_resources.resource_filename('pyspectral', 'data/')
class Seviri(object):
"""Class for Seviri RSR."""
def __init__(self, wavespace='wavelength'):
"""
Read the seviri relative spectral responses for all channels and all MSG satellites.
Optional input: 'wavespace'. Equals 'wavelength' (units of micron's) on
default. Can be 'wavenumber' in which case the unit is in cm-1.
"""
options = get_config()
self.seviri_path = options['seviri'].get('path')
if not os.path.exists(self.seviri_path):
self.seviri_path = os.path.join(
DATA_PATH, options['seviri'].get('filename'))
LOG.debug("Original RSR file from EUMETSAT: {}".format(self.seviri_path))
self.output_dir = options.get('rsr_dir', './')
self.rsr = None
self._load()
self.wavespace = wavespace
if wavespace not in ['wavelength', 'wavenumber']:
raise AttributeError("wavespace has to be either " +
"'wavelength' or 'wavenumber'!")
self.unit = 'micrometer'
if wavespace == 'wavenumber':
# Convert to wavenumber:
self.convert2wavenumber()
self.central_wavenumber = None
self.central_wavelength = None
self.get_centrals()
def _load(self, filename=None):
"""Read the SEVIRI rsr data."""
if not filename:
filename = self.seviri_path
wb_ = open_workbook(filename)
self.rsr = {}
sheet_names = []
for sheet in wb_.sheets():
if sheet.name in ['Info', 'Requirements']:
continue
ch_name = sheet.name.strip()
sheet_names.append(sheet.name.strip())
self.rsr[ch_name] = {'wavelength': None,
'Meteosat-8': None,
'Meteosat-9': None,
'Meteosat-10': None,
'Meteosat-11': None}
if ch_name.startswith('HRV'):
wvl = np.array(
sheet.col_values(0, start_rowx=37, end_rowx=137))
# TODO: Add the 'extended' responses as well!
met8 = np.array(
sheet.col_values(1, start_rowx=37, end_rowx=137))
met9 = np.array(
sheet.col_values(3, start_rowx=37, end_rowx=137))
met10 = np.array(
sheet.col_values(5, start_rowx=37, end_rowx=137))
met11 = np.array(
sheet.col_values(6, start_rowx=37, end_rowx=137))
self.rsr[ch_name]['Meteosat-8'] = met8
self.rsr[ch_name]['Meteosat-9'] = met9
self.rsr[ch_name]['Meteosat-10'] = met10
self.rsr[ch_name]['Meteosat-11'] = met11
elif ch_name.startswith('IR'):
wvl = np.array(
sheet.col_values(0, start_rowx=13, end_rowx=113))
met8_95 = np.array(
sheet.col_values(1, start_rowx=13, end_rowx=113))
met9_95 = np.array(
sheet.col_values(3, start_rowx=13, end_rowx=113))
met10_95 = np.array(
sheet.col_values(5, start_rowx=13, end_rowx=113))
met11_95 = np.array(
sheet.col_values(7, start_rowx=13, end_rowx=113))
met8_85 = np.array(
sheet.col_values(2, start_rowx=13, end_rowx=113))
met9_85 = np.array(
sheet.col_values(4, start_rowx=13, end_rowx=113))
met10_85 = np.array(
sheet.col_values(6, start_rowx=13, end_rowx=113))
met11_85 = np.array(
sheet.col_values(8, start_rowx=13, end_rowx=113))
self.rsr[ch_name]['Meteosat-8'] = {'95': met8_95,
'85': met8_85}
self.rsr[ch_name]['Meteosat-9'] = {'95': met9_95,
'85': met9_85}
self.rsr[ch_name]['Meteosat-10'] = {'95': met10_95,
'85': met10_85}
self.rsr[ch_name]['Meteosat-11'] = {'95': met11_95,
'85': met11_85}
else:
wvl = np.array(
sheet.col_values(0, start_rowx=12, end_rowx=112))
met8 = np.array(
sheet.col_values(1, start_rowx=12, end_rowx=112))
met9 = np.array(
sheet.col_values(2, start_rowx=12, end_rowx=112))
met10 = np.array(
sheet.col_values(3, start_rowx=12, end_rowx=112))
met11 = np.array(
sheet.col_values(4, start_rowx=12, end_rowx=112))
self.rsr[ch_name]['Meteosat-8'] = met8
self.rsr[ch_name]['Meteosat-9'] = met9
self.rsr[ch_name]['Meteosat-10'] = met10
self.rsr[ch_name]['Meteosat-11'] = met11
self.rsr[ch_name]['wavelength'] = wvl
def convert2wavenumber(self):
"""Convert from wavelengths to wavenumber."""
for chname in self.rsr.keys():
elems = [k for k in self.rsr[chname].keys()]
for sat in elems:
if sat == "wavelength":
LOG.debug("Get the wavenumber from the wavelength: sat=%s chname=%s", sat, chname)
wnum = 1. / (1e-4 * self.rsr[chname][sat][:]) # microns to cm
self.rsr[chname]['wavenumber'] = wnum[::-1]
else:
if isinstance(self.rsr[chname][sat], dict):
for name in self.rsr[chname][sat].keys():
resp = self.rsr[chname][sat][name][:]
self.rsr[chname][sat][name] = resp[::-1]
else:
resp = self.rsr[chname][sat][:]
self.rsr[chname][sat] = resp[::-1]
for chname in self.rsr.keys():
del self.rsr[chname]['wavelength']
self.unit = 'cm-1'
def get_centrals(self):
"""Get the central wavenumbers or central wavelengths of all channels.
The unit (wavelength or wavenumber) depends on the 'wave space' given by
the attribute *wavespace*.
"""
result = {}
for chname in self.rsr.keys():
result[chname] = {}
if self.wavespace == "wavelength":
x__ = self.rsr[chname]["wavelength"]
else:
x__ = self.rsr[chname]["wavenumber"]
for sat in self.rsr[chname].keys():
if sat in ["wavelength", "wavenumber"]:
continue
if isinstance(self.rsr[chname][sat], dict):
result[chname][sat] = {}
for name in self.rsr[chname][sat].keys():
resp = self.rsr[chname][sat][name]
result[chname][sat][name] = get_central_wave(x__, resp)
else:
resp = self.rsr[chname][sat]
result[chname][sat] = get_central_wave(x__, resp)
if self.wavespace == "wavelength":
self.central_wavelength = result
else:
self.central_wavenumber = result
def get_central_wave(wavl, resp):
"""Calculate the central wavelength (or the central wavenumber if inputs are wave numbers)."""
return trapezoid(resp * wavl, wavl) / trapezoid(resp, wavl)
def generate_seviri_file(seviri, platform_name):
"""Generate the relative response function file for one SEVIRI sensor.
The file format is the pyspectral internal common format.
"""
import h5py
filename = os.path.join(seviri.output_dir,
"rsr_seviri_{0}.h5".format(platform_name))
sat_name = platform_name
with h5py.File(filename, "w") as h5f:
h5f.attrs['description'] = 'Relative Spectral Responses for SEVIRI'
h5f.attrs['platform_name'] = platform_name
bandlist = [str(key) for key in seviri.rsr.keys()]
h5f.attrs['band_names'] = bandlist
for key in seviri.rsr.keys():
grp = h5f.create_group(key)
if isinstance(seviri.central_wavelength[key][sat_name], dict):
grp.attrs['central_wavelength'] = \
seviri.central_wavelength[key][sat_name]['95']
else:
grp.attrs['central_wavelength'] = \
seviri.central_wavelength[key][sat_name]
arr = seviri.rsr[key]['wavelength']
dset = grp.create_dataset('wavelength', arr.shape, dtype='f')
dset.attrs['unit'] = 'm'
dset.attrs['scale'] = 1e-06
dset[...] = arr
try:
arr = seviri.rsr[key][sat_name]['95']
except ValueError:
arr = seviri.rsr[key][sat_name]
dset = grp.create_dataset('response', arr.shape, dtype='f')
dset[...] = arr
if __name__ == "__main__":
sev_obj = Seviri()
for satnum in [8, 9, 10, 11]:
generate_seviri_file(sev_obj, 'Meteosat-{0:d}'.format(satnum))
print("Meteosat-{0:d} done...".format(satnum))
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