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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2010.
# SMHI,
# Folkborgsvägen 1,
# Norrköping,
# Sweden
# Author(s):
# Adam Dybbroe <adam.dybbroe@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/>.
"""Interface to 1km agregated MERSI hdf5 level 1 format.
"""
import os.path
from ConfigParser import ConfigParser
import _pyhl
import numpy as np
from mpop import BASE_PATH
def load(satscene):
"""Read data from file and load it into *satscene*.
"""
conf = ConfigParser()
conf.read(os.path.join(BASE_PATH, "etc", satscene.fullname + ".cfg"))
options = {}
for option, value in conf.items(satscene.instrument_name+'-level2', raw = True):
options[option] = value
CASES[satscene.instrument_name](satscene, options)
def load_1km_aggregated_mersi(satscene, options):
"""Read 1km agregated mersi data from file and load it into *satscene*.
"""
# Example: FY3A_MERSI_GBAL_L1_20100308_0915_1000M_MS.HDF
filename = satscene.time_slot.strftime("FY3A_MERSI_GBAL_L1_%Y%m%d_%H%M_1000M_MS.HDF")
filename = os.path.join(options["dir"], filename)
a = _pyhl.read_nodelist(filename)
b = a.getNodeNames()
# Should only select/fetch the datasets needed. FIXME!
a.selectAll()
a.fetch()
# MERSI Channel 1-4: EV_250_Aggr.1KM_RefSB
# MERSI Channel 5: EV_250_Aggr.1KM_Emissive
# MERSI Channel 6-20: EV_1KM_RefSB
datasets = ['/EV_250_Aggr.1KM_RefSB',
'/EV_250_Aggr.1KM_Emissive',
'/EV_1KM_RefSB']
for nodename in datasets:
band_data = a.getNode(nodename).data()
valid_range = a.getNode('%s/valid_range' % (nodename)).data()
band_names = a.getNode('%s/band_name' % (nodename)).data().split(",")
# Special treatment of the situation where the bandnames are stored
# as '6~20' (quite inconvenient):
if '6~20' in band_names:
band_names = ['6','7','8','9','10','11','12','13',
'14','15','16','17','18','19','20']
for (i, band) in enumerate(band_names):
if band not in satscene.channels_to_load:
continue
satscene[band] = np.ma.masked_outside(band_data[i],
valid_range[0],
valid_range[1],
copy = False)
satscene[band].info = {
'var_name' : 'ch'+str(band),
'var_data' : satscene[band].data,
'var_dim_names': ('x','y'),
'_FillValue' : 32767,
'standard_name' : '',
'short_name' : band,
'scale_factor' : 1.0,
'add_offset' : 0.0,
}
satscene.info = {
'var_children' : [ #{'var_name' : 'lat', 'var_callback': Functor(satscene.get_lat, low_res), 'var_dim_names': ('x','y') },
#{'var_name' : 'lon', 'var_callback' : Functor(satscene.get_lon, low_res) , 'var_dim_names': ('x','y') },
## {'var_name' : 'lat_hrvis', 'var_data' : satscene.lat[high_res]},
## {'var_name' : 'lon_hrvis', 'var_data' : satscene.lon[high_res]},
],
'Satellite' : satscene.fullname,
'Antenna' : 'None',
'Receiver' : 'SMHI' ,
'Time' : satscene.time_slot.strftime("%Y-%m-%d %H:%M:%S UTC"),
#'Area_Name' : satscene.area_id,
'Area_Name' : "swath",
'Projection' : 'satproj',
'Platform' : 'fengyun',
'Number' : '3a',
'Service' : '',
#'Columns' : satscene.channels[0].shape[1],
#'Lines' : satscene.channels[0].shape[0],
'SampleX' : 1.0,
'SampleY' : 1.0,
'title' : 'MERSI Level 1',
}
def get_lat_lon(satscene, resolution):
"""Read lat and lon.
"""
del resolution
conf = ConfigParser()
conf.read(os.path.join(BASE_PATH, "etc", satscene.fullname + ".cfg"))
options = {}
for option, value in conf.items(satscene.instrument_name+'-level2', raw = True):
options[option] = value
return LAT_LON_CASES[satscene.instrument_name](satscene, options)
def get_lat_lon_1km_aggregated_mersi(satscene, options):
"""Read latitude and longitude for each (aggregated) pixel.
"""
# Example: FY3A_MERSI_GBAL_L1_20100308_0915_1000M_MS.HDF
filename = satscene.time_slot.strftime("FY3A_MERSI_GBAL_L1_%Y%M%D_%H%M_1000M_MS.HDF")
filename = os.path.join(options["dir"], filename)
a = _pyhl.read_nodelist(filename)
b = a.getNodeNames()
# Should only select/fetch the datasets needed. FIXME!
a.selectAll()
a.fetch()
lat = a.getNode("/Latitude").data()
lon = a.getNode("/Longitude").data()
return lat, lon
CASES = {
"mersi": load_1km_aggregated_mersi
}
LAT_LON_CASES = {
"mersi": get_lat_lon_1km_aggregated_mersi
}
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