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# -*- coding: utf-8 -*- |
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# vim:fileencoding=utf-8 |
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# |
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# Copyright (c) 2014-2017 Stefan Bender |
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# |
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# This file is part of sciapy. |
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# sciapy is free software: you can redistribute it or modify it |
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# under the terms of the GNU General Public License as published by |
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# the Free Software Foundation, version 2. |
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# See accompanying LICENSE file or http://www.gnu.org/licenses/gpl-2.0.html. |
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"""SCIAMACHY level 1c limb spectra text interface |
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""" |
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from __future__ import absolute_import, division, print_function |
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import numpy as np |
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from ._types import _float_type, _int_type, _limb_data_dtype |
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def _print_indent(fp, indent): |
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for _ in range(indent): |
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print(" ", end="", file=fp) |
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def _print_array(fp, a, indent): |
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_print_indent(fp, indent) |
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print('\t'.join(map(str, a)), file=fp) |
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# format strings taken from scia_L1C_ascii.c |
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def _print_array1(fp, a, padding=0): |
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if padding > 0: |
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_print_indent(fp, padding) |
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print(''.join(map(lambda x: str('%12.3f ' % x), a)), file=fp) |
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def _print_array2(fp, a): |
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# print(' '.join(map(lambda x: str('% -7.5e' % x), a)), file=fp) |
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print(''.join(map(lambda x: str('%12.5e ' % x), a)), file=fp) |
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def read_from_textfile(self, filename): |
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"""SCIAMACHY level 1c limb scan text import |
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Parameters |
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---------- |
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filename : str |
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The (plain ascii) table text filename to read the data from. |
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Returns |
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------- |
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nothing |
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""" |
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import numpy.lib.recfunctions as rfn |
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if hasattr(filename, 'seek'): |
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f = filename |
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else: |
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f = open(filename, 'rb') |
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h_list = [] |
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nh = int(f.readline()) |
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for _ in range(nh): |
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h_list.append(bytes(f.readline()).decode().rstrip()) |
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self.textheader_length = nh |
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self.textheader = '\n'.join(h_list) |
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self.parse_textheader() |
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self.nalt, self.npix = np.fromstring(f.readline(), dtype=_int_type, sep=' ') |
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self.orbit_state = np.fromstring(f.readline(), dtype=_int_type, sep=' ') |
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(self.orbit, self.state_in_orbit, self.state_id, |
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self.profiles_per_state, self.profile_in_state) = self.orbit_state |
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self.date = np.fromstring(f.readline(), dtype=_int_type, sep=' ') |
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# pre-set the limb_data |
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if self._limb_data_dtype is None: |
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self._limb_data_dtype = _limb_data_dtype[:] |
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self.limb_data = np.zeros((self.nalt), dtype=self._limb_data_dtype) |
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if nh > 27: |
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self.limb_data["sub_sat_lat"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["sub_sat_lon"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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if nh > 29: |
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self.orbit_phase = np.fromstring(f.readline(), dtype=_float_type, sep=' ')[0] |
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self.cent_lat_lon = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["tp_lat"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["tp_lon"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["tp_alt"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["tp_sza"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["tp_saa"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["tp_los"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["toa_sza"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["toa_saa"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["toa_los"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["sat_sza"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["sat_saa"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["sat_los"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["sat_alt"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.limb_data["earth_rad"] = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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tmp_list = [] |
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for _ in range(self.npix): |
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input = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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self.wls.append(input[0]) |
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tmp_list.append(input[1:]) |
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tmp_rad_arr = np.asarray(tmp_list).reshape(self.npix, self.nalt).transpose() |
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tmp_list[:] = [] |
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line = f.readline().strip() |
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if bytes(line) == b"ERRORS": |
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for _ in range(self.npix): |
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input = np.fromstring(f.readline(), dtype=_float_type, sep=' ') |
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tmp_list.append(input[1:]) |
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else: |
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for _ in range(self.npix): |
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tmp_list.append(np.zeros(self.nalt)) |
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tmp_err_arr = np.asarray(tmp_list).reshape(self.npix, self.nalt).transpose() |
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# save to limb_data recarray |
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rads = np.rec.fromarrays([tmp_rad_arr], |
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dtype=np.dtype([("rad", 'f4', (self.npix,))])) |
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errs = np.rec.fromarrays([tmp_err_arr], |
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dtype=np.dtype([("err", 'f4', (self.npix,))])) |
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self.limb_data = rfn.merge_arrays([self.limb_data, rads, errs], |
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usemask=False, asrecarray=True, flatten=True) |
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self._limb_data_dtype = self.limb_data.dtype |
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def write_to_textfile(self, filename): |
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"""SCIAMACHY level 1c limb scan text export |
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Parameters |
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---------- |
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filename : str |
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The (plain ascii) table text filename to write the data to. |
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Returns |
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------- |
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nothing |
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""" |
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if hasattr(filename, 'seek'): |
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f = filename |
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else: |
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f = open(filename, 'w') |
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print(self.textheader_length, file=f) |
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print(self.textheader, file=f) |
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# format strings taken from scia_L1C_ascii.c |
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print("%2d %4d" % (self.nalt, self.npix), file=f) |
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print("%05d %2d %2d %2d %2d" % tuple(self.orbit_state), file=f) |
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print("%4d %2d %2d %2d %2d %2d" % tuple(self.date), file=f) |
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if self.textheader_length > 27: |
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_print_array1(f, self.limb_data["sub_sat_lat"], 9) |
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_print_array1(f, self.limb_data["sub_sat_lon"], 9) |
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if self.textheader_length > 29: |
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_print_indent(f, 9) |
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print("%12.3f " % (self.orbit_phase,), file=f) |
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_print_indent(f, 9) |
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print("%8.3f %8.3f %8.3f %8.3f %8.3f %8.3f " |
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"%8.3f %8.3f %8.3f %8.3f" % tuple(self.cent_lat_lon), file=f) |
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# print the limb data |
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_print_array1(f, self.limb_data["tp_lat"], 9) |
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_print_array1(f, self.limb_data["tp_lon"], 9) |
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_print_array1(f, self.limb_data["tp_alt"], 9) |
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_print_array1(f, self.limb_data["tp_sza"], 9) |
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_print_array1(f, self.limb_data["tp_saa"], 9) |
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_print_array1(f, self.limb_data["tp_los"], 9) |
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_print_array1(f, self.limb_data["toa_sza"], 9) |
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_print_array1(f, self.limb_data["toa_saa"], 9) |
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_print_array1(f, self.limb_data["toa_los"], 9) |
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_print_array1(f, self.limb_data["sat_sza"], 9) |
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_print_array1(f, self.limb_data["sat_saa"], 9) |
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_print_array1(f, self.limb_data["sat_los"], 9) |
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_print_array1(f, self.limb_data["sat_alt"], 9) |
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_print_array1(f, self.limb_data["earth_rad"], 9) |
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rads = np.asarray(self.limb_data["rad"]).reshape(self.nalt, self.npix).transpose() |
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errs = np.asarray(self.limb_data["err"]).reshape(self.nalt, self.npix).transpose() |
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# format strings taken from scia_L1C_ascii.c |
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for i in range(self.npix): |
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print("%9.4f" % self.wls[i], end=" ", file=f) |
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_print_array2(f, rads[i]) |
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print("ERRORS", file=f) |
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for i in range(self.npix): |
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print("%9.4f" % self.wls[i], end=" ", file=f) |
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_print_array2(f, errs[i]) |
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f.close() |
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st-bender /
sciapy
