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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2010, 2011.
# Author(s):
# Martin Raspaud <martin.raspaud@smhi.se>
# This file is part of mpop.
# mpop 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.
# mpop 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
# mpop. If not, see <http://www.gnu.org/licenses/>.
"""This modules describes the seviri instrument.
"""
import numpy as np
import mpop.imageo.geo_image as geo_image
from mpop.instruments.visir import VisirCompositer
from mpop.logger import LOG
class SeviriCompositer(VisirCompositer):
"""This class sets up the Seviri instrument channel list.
"""
instrument_name = "seviri"
def co2corr(self):
"""CO2 correction of the brightness temperature of the MSG 3.9um
channel::
.. math::
T4_CO2corr = (BT(IR3.9)^4 + Rcorr)^0.25
Rcorr = BT(IR10.8)^4 - (BT(IR10.8)-dt_CO2)^4
dt_CO2 = (BT(IR10.8)-BT(IR13.4))/4.0
"""
try:
self.check_channels(3.75, 10.8, 13.4)
except RuntimeError:
LOG.warning("CO2 correction not performed, channel data missing.")
return
bt039 = self[3.9].data
bt108 = self[10.8].data
bt134 = self[13.4].data
dt_co2 = (bt108-bt134)/4.0
rcorr = bt108 ** 4 - (bt108-dt_co2) ** 4
t4_co2corr = bt039 ** 4 + rcorr
t4_co2corr = np.ma.where(t4_co2corr > 0.0, t4_co2corr, 0)
t4_co2corr = t4_co2corr ** 0.25
return t4_co2corr
co2corr.prerequisites = set([3.75, 10.8, 13.4])
def co2corr_chan(self):
"""CO2 correction of the brightness temperature of the MSG 3.9um
channel, adding it as a channel::
.. math::
T4_CO2corr = (BT(IR3.9)^4 + Rcorr)^0.25
Rcorr = BT(IR10.8)^4 - (BT(IR10.8)-dt_CO2)^4
dt_CO2 = (BT(IR10.8)-BT(IR13.4))/4.0
"""
if "_IR39Corr" in [chn.name for chn in self._data_holder.channels]:
return
self.check_channels(3.75, 10.8, 13.4)
dt_co2 = (self[10.8] - self[13.4]) / 4.0
rcorr = self[10.8] ** 4 - (self[10.8] - dt_co2) ** 4
t4_co2corr = self[3.9] ** 4 + rcorr
t4_co2corr.data = np.ma.where(t4_co2corr.data > 0.0, t4_co2corr.data, 0)
t4_co2corr = t4_co2corr ** 0.25
t4_co2corr.name = "_IR39Corr"
t4_co2corr.area = self[3.9].area
t4_co2corr.wavelength_range = self[3.9].wavelength_range
t4_co2corr.resolution = self[3.9].resolution
self._data_holder.channels.append(t4_co2corr)
co2corr_chan.prerequisites = set([3.75, 10.8, 13.4])
def cloudtop(self):
"""Make a Cloudtop RGB image composite from Seviri channels.
"""
self.co2corr_chan()
self.check_channels("_IR39Corr", 10.8, 12.0)
ch1 = -self["_IR39Corr"].data
ch2 = -self[10.8].data
ch3 = -self[12.0].data
img = geo_image.GeoImage((ch1, ch2, ch3),
self.area,
self.time_slot,
fill_value=(0, 0, 0),
mode="RGB")
img.enhance(stretch=(0.005, 0.005))
return img
cloudtop.prerequisites = co2corr_chan.prerequisites | set([10.8, 12.0])
def night_fog(self):
"""Make a Night Fog RGB image composite from Seviri channels.
"""
self.co2corr_chan()
self.check_channels("_IR39Corr", 10.8, 12.0)
ch1 = self[12.0].data - self[10.8].data
ch2 = self[10.8].data - self["_IR39Corr"].data
ch3 = self[10.8].data
img = geo_image.GeoImage((ch1, ch2, ch3),
self.area,
self.time_slot,
fill_value = (0, 0, 0),
mode="RGB",
crange=((-4, 2),
(0, 6),
(243, 293)))
img.enhance(gamma = (1.0, 2.0, 1.0))
return img
night_fog.prerequisites = co2corr_chan.prerequisites | set([10.8, 12.0])
def night_microphysics(self):
"""Make a Night Microphysics RGB image composite from Seviri channels.
This is a Eumetsat variant of night_fog.
See e.g http://oiswww.eumetsat.int/~idds/html/doc/best_practices.pdf
"""
self.check_channels(3.9, 10.8, 12.0)
ch1 = self[12.0].data - self[10.8].data
ch2 = self[10.8].data - self[3.9].data
ch3 = self[10.8].data
img = geo_image.GeoImage((ch1, ch2, ch3),
self.area,
self.time_slot,
fill_value = (0, 0, 0),
mode="RGB",
crange=((-4, 2),
(0, 10),
(243, 293)))
return img
night_microphysics.prerequisites = set([3.9, 10.8, 12.0])
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