def test_def2yaml_converter(self):
from pyresample import utils
import tempfile
def_file = os.path.join(os.path.dirname(__file__), 'test_files',
'areas.cfg')
filehandle, yaml_file = tempfile.mkstemp()
os.close(filehandle)
try:
utils.convert_def_to_yaml(def_file, yaml_file)
areas_new = set(utils.parse_area_file(yaml_file))
areas_old = set(utils.parse_area_file(def_file))
self.assertEqual(areas_new, areas_old)
finally:
os.remove(yaml_file)
def get_area_def(area_name):
"""Get the definition of *area_name* from file. The file is defined to use
is to be placed in the $PPP_CONFIG_DIR directory, and its name is defined
in satpy's configuration file.
"""
from pyresample.utils import parse_area_file
return parse_area_file(get_area_file(), area_name)[0]
def get_area_def(area_name):
"""Get the definition of *area_name* from file. The file is defined to use
is to be placed in the $PPP_CONFIG_DIR directory, and its name is defined
in satpy's configuration file.
"""
from pyresample.utils import parse_area_file
return parse_area_file(get_area_file(), area_name)[0]
def _get_legacy_and_yaml_areas(
grid_configs: list[str,
...]) -> tuple[GridManager, dict[str, AreaDefinition]]:
if "grids.conf" in grid_configs:
logger.debug(
"Replacing 'grids.conf' with builtin YAML grid configuration file."
)
grid_configs[grid_configs.index("grids.conf")] = GRIDS_YAML_FILEPATH
if not grid_configs:
grid_configs = [GRIDS_YAML_FILEPATH]
p2g_grid_configs = [x for x in grid_configs if x.endswith(".conf")]
pyresample_area_configs = [
x for x in grid_configs if not x.endswith(".conf")
]
if p2g_grid_configs:
grid_manager = GridManager(*p2g_grid_configs)
else:
grid_manager = {}
if pyresample_area_configs:
yaml_areas = parse_area_file(pyresample_area_configs)
yaml_areas = {x.area_id: x for x in yaml_areas}
else:
yaml_areas = {}
return grid_manager, yaml_areas
def test_area_parser_legacy(self):
"""Test legacy area parser."""
from pyresample import utils
ease_nh, ease_sh = utils.parse_area_file(
os.path.join(os.path.dirname(__file__), 'test_files', 'areas.cfg'),
'ease_nh', 'ease_sh')
nh_str = """Area ID: ease_nh
Description: Arctic EASE grid
Projection ID: ease_nh
Projection: {'a': '6371228.0', 'lat_0': '90.0', 'lon_0': '0.0', 'proj': 'laea', 'units': 'm'}
Number of columns: 425
Number of rows: 425
Area extent: (-5326849.0625, -5326849.0625, 5326849.0625, 5326849.0625)"""
self.assertEqual(ease_nh.__str__(), nh_str)
self.assertIsInstance(ease_nh.proj_dict['lat_0'], float)
sh_str = """Area ID: ease_sh
Description: Antarctic EASE grid
Projection ID: ease_sh
Projection: {'a': '6371228.0', 'lat_0': '-90.0', 'lon_0': '0.0', 'proj': 'laea', 'units': 'm'}
Number of columns: 425
Number of rows: 425
Area extent: (-5326849.0625, -5326849.0625, 5326849.0625, 5326849.0625)"""
self.assertEqual(ease_sh.__str__(), sh_str)
self.assertIsInstance(ease_sh.proj_dict['lat_0'], float)
def read_config(filename):
"""Read the config file *filename* and replace the values in global
variables.
"""
cfg = ConfigParser()
cfg.read(filename)
station = cfg.get("default", "station")
satellites = cfg.get("default", "satellites").split(",")
forward = cfg.getint("default", "forward")
start = cfg.getfloat("default", "start")
station_name = cfg.get(station, "name")
station_lon = cfg.getfloat(station, "longitude")
station_lat = cfg.getfloat(station, "latitude")
station_alt = cfg.getfloat(station, "altitude")
sat_scores = {}
for sat in satellites:
sat_scores[sat] = (cfg.getfloat(sat, "night"),
cfg.getfloat(sat, "day"))
area = utils.parse_area_file(cfg.get(station, "area_file"),
cfg.get(station, "area"))[0]
return ((station_lon, station_lat, station_alt),
sat_scores, station_name, area, forward, start)
def test_area_def2basemap(self):
area_def = utils.parse_area_file(os.path.join(os.path.dirname(__file__),
'test_files', 'areas.cfg'), 'ease_sh')[0]
bmap = plot.area_def2basemap(area_def)
self.assertTrue(bmap.rmajor == bmap.rminor and
bmap.rmajor == 6371228.0,
'Failed to create Basemap object')
def test_area_def2basemap(self):
area_def = utils.parse_area_file(
os.path.join(os.path.dirname(__file__), 'test_files', 'areas.cfg'),
'ease_sh')[0]
bmap = plot.area_def2basemap(area_def)
self.assertTrue(
bmap.rmajor == bmap.rminor and bmap.rmajor == 6371228.0,
'Failed to create Basemap object')
def test_orthoplot(self):
area_def = utils.parse_area_file(os.path.join(os.path.dirname(__file__),
'test_files', 'areas.cfg'), 'ortho')[0]
swath_def = geometry.SwathDefinition(self.lons, self.lats)
result = kd_tree.resample_nearest(swath_def, self.tb37v, area_def,
radius_of_influence=20000,
fill_value=None)
plt = plot._get_quicklook(area_def, result)
def test_plate_carreeplot(self):
area_def = utils.parse_area_file(os.path.join(os.path.dirname(__file__),
'test_files', 'areas.cfg'), 'pc_world')[0]
swath_def = geometry.SwathDefinition(self.lons, self.lats)
result = kd_tree.resample_nearest(swath_def, self.tb37v, area_def,
radius_of_influence=20000,
fill_value=None)
plt = plot._get_quicklook(area_def, result, num_meridians=0,
num_parallels=0)
def test_orthoplot(self):
area_def = utils.parse_area_file(
os.path.join(os.path.dirname(__file__), 'test_files', 'areas.cfg'),
'ortho')[0]
swath_def = geometry.SwathDefinition(self.lons, self.lats)
result = kd_tree.resample_nearest(swath_def,
self.tb37v,
area_def,
radius_of_influence=20000,
fill_value=None)
plt = plot._get_quicklook(area_def, result)
def test_plate_carreeplot(self):
area_def = utils.parse_area_file(
os.path.join(os.path.dirname(__file__), 'test_files', 'areas.cfg'),
'pc_world')[0]
swath_def = geometry.SwathDefinition(self.lons, self.lats)
result = kd_tree.resample_nearest(swath_def,
self.tb37v,
area_def,
radius_of_influence=20000,
fill_value=None)
plt = plot._get_quicklook(area_def,
result,
num_meridians=0,
num_parallels=0)
def __init__(self, station_id, name, longitude, latitude, altitude, area, satellites, area_file=None):
super(Station, self).__init__()
self.id = station_id
self.name = name
self.longitude = longitude
self.latitude = latitude
self.altitude = altitude
self.area = area
self.satellites = satellites
if area_file is not None:
try:
self.area = resample_utils.parse_area_file(area_file, area)[0]
except TypeError:
pass
def _get_legacy_and_custom_areas(grid_configs):
p2g_grid_configs = [x for x in grid_configs if x.endswith('.conf')]
pyresample_area_configs = [x for x in grid_configs if not x.endswith('.conf')]
if not grid_configs or p2g_grid_configs:
# if we were given p2g grid configs or we weren't given any to choose from
from polar2grid.grids import GridManager
grid_manager = GridManager(*p2g_grid_configs)
else:
grid_manager = {}
if pyresample_area_configs:
from pyresample.utils import parse_area_file
custom_areas = parse_area_file(pyresample_area_configs)
custom_areas = {x.area_id: x for x in custom_areas}
else:
custom_areas = {}
return grid_manager, custom_areas
def _remap_a_score_on_an_area(self, plot_area_name='npole', vmin=0.0, vmax=1.0,
score='Kuipers'):
from pyresample import image, geometry
area_def = utils.parse_area_file(
'reshaped_files_plotting/region_config_test.cfg',
plot_area_name)[0]
data = getattr(self, score)
data = data.copy()
if np.ma.is_masked(data):
data[np.logical_and(np.equal(data.mask,False),data>vmax)]=vmax
data[np.logical_and(np.equal(data.mask,False),data<vmin)]=vmin #do not wan't low ex hitrates set to nodata!
else:
data[data>vmax]=vmax
data[data<vmin]=vmin
#lons = np.ma.masked_array(self.lons, mask=data.mask)
#lats = np.ma.masked_array(self.lats, mask=data.mask)
lons = self.lons
lats = self.lats
swath_def = geometry.SwathDefinition(lons=lons, lats=lats)
swath_con = image.ImageContainerNearest(
data, swath_def,
radius_of_influence=self.radius_km*1000*2.5,
epsilon=1.0)
area_con = swath_con.resample(area_def)
result = area_con.image_data
#pr.plot.show_quicklook(area_def, result,
# vmin=vmin, vmax=vmax, label=score)
if "FAR" in score:
matplotlib.rcParams['image.cmap']= "BrBG"
elif "diff" in score:
matplotlib.rcParams['image.cmap']= "BrBG"
elif "mae" in score:
matplotlib.rcParams['image.cmap']= "Reds"
else:
matplotlib.rcParams['image.cmap']= "BrBG"
plot_label =score
if "mae" in score:
plot_label =""
pr.plot.save_quicklook(self.PLOT_DIR_SCORE + self.PLOT_FILENAME_START+
plot_area_name +'.png',
area_def, result,
vmin=vmin, vmax=vmax, label=plot_label)
def test_multiple_file_content(self):
from pyresample import utils
area_list = [
"""ease_sh:
description: Antarctic EASE grid
projection:
a: 6371228.0
units: m
lon_0: 0
proj: laea
lat_0: -90
shape:
height: 425
width: 425
area_extent:
lower_left_xy: [-5326849.0625, -5326849.0625]
upper_right_xy: [5326849.0625, 5326849.0625]
units: m
""", """ease_sh2:
description: Antarctic EASE grid
projection:
a: 6371228.0
units: m
lon_0: 0
proj: laea
lat_0: -90
shape:
height: 425
width: 425
area_extent:
lower_left_xy: [-5326849.0625, -5326849.0625]
upper_right_xy: [5326849.0625, 5326849.0625]
units: m
"""
]
results = utils.parse_area_file(area_list)
self.assertEqual(len(results), 2)
self.assertIn(results[0].area_id, ('ease_sh', 'ease_sh2'))
self.assertIn(results[1].area_id, ('ease_sh', 'ease_sh2'))
def test_area_parser(self):
ease_nh, ease_sh = utils.parse_area_file(os.path.join(os.path.dirname(__file__),
'test_files',
'areas.cfg'), 'ease_nh', 'ease_sh')
nh_found = (ease_nh.__str__() =="""Area ID: ease_nh
Name: Arctic EASE grid
Projection ID: ease_nh
Projection: {'a': '6371228.0', 'lat_0': '90', 'lon_0': '0', 'proj': 'laea', 'units': 'm'}
Number of columns: 425
Number of rows: 425
Area extent: (-5326849.0625, -5326849.0625, 5326849.0625, 5326849.0625)""")
sh_found = (ease_sh.__str__() =="""Area ID: ease_sh
Name: Antarctic EASE grid
Projection ID: ease_sh
Projection: {'a': '6371228.0', 'lat_0': '-90', 'lon_0': '0', 'proj': 'laea', 'units': 'm'}
Number of columns: 425
Number of rows: 425
Area extent: (-5326849.0625, -5326849.0625, 5326849.0625, 5326849.0625)""")
self.assertTrue(nh_found and sh_found, msg='Failed to parse areas correctly')
def test_area_parser(self):
ease_nh, ease_sh = utils.parse_area_file(
os.path.join(os.path.dirname(__file__), 'test_files', 'areas.cfg'),
'ease_nh', 'ease_sh')
nh_found = (ease_nh.__str__() == """Area ID: ease_nh
Name: Arctic EASE grid
Projection ID: ease_nh
Projection: {'a': '6371228.0', 'lat_0': '90', 'lon_0': '0', 'proj': 'laea', 'units': 'm'}
Number of columns: 425
Number of rows: 425
Area extent: (-5326849.0625, -5326849.0625, 5326849.0625, 5326849.0625)""")
sh_found = (ease_sh.__str__() == """Area ID: ease_sh
Name: Antarctic EASE grid
Projection ID: ease_sh
Projection: {'a': '6371228.0', 'lat_0': '-90', 'lon_0': '0', 'proj': 'laea', 'units': 'm'}
Number of columns: 425
Number of rows: 425
Area extent: (-5326849.0625, -5326849.0625, 5326849.0625, 5326849.0625)""")
self.assertTrue(nh_found and sh_found,
msg='Failed to parse areas correctly')
continue
if k == 5001:
lat.append((0, 0, v))
if k == 6001:
lon.append((0, 0, v))
if k == 7004:
pres.append((0, 0, v))
gotit = 1
lons = np.concatenate(lon)
lats = np.concatenate(lat)
pres = np.concatenate(pres) / 100.0 # hPa
pres = np.ma.masked_greater(pres, 1.0e+6)
import pyresample as pr
from pyresample import kd_tree, geometry
from pyresample import utils
swath_def = geometry.SwathDefinition(lons=lons, lats=lats)
area_def = utils.parse_area_file('region_config.cfg', AREA)[0]
result = kd_tree.resample_nearest(swath_def,
pres,
area_def,
radius_of_influence=12000,
epsilon=100,
fill_value=None)
pr.plot.save_quicklook(PNGFILE % AREA,
area_def,
result,
label='IASI - Cloud Top Pressure',
coast_res='l')
def test_commented(self):
from pyresample import utils
areas = utils.parse_area_file(
os.path.join(os.path.dirname(__file__), 'test_files', 'areas.cfg'))
self.assertNotIn('commented', [area.name for area in areas])
def get_area_def(area_name):
"""Get the definition of *area_name* from file. The file is defined to use
is to be placed in the $PPP_CONFIG_DIR directory, and its name is defined
in mpop's configuration file.
"""
return utils.parse_area_file(get_area_file(), area_name)[0]
def get_area_def(area_name):
"""Get the definition of *area_name* from file. The file is defined to use
is to be placed in the $PPP_CONFIG_DIR directory, and its name is defined
in mpop's configuration file.
"""
return utils.parse_area_file(get_area_file(), area_name)[0]
def main(argv=sys.argv[1:]):
global LOG
from satpy import Scene
from satpy.resample import get_area_def
from satpy.writers import compute_writer_results
from dask.diagnostics import ProgressBar
from polar2grid.core.script_utils import (
setup_logging, rename_log_file, create_exc_handler)
import argparse
prog = os.getenv('PROG_NAME', sys.argv[0])
# "usage: " will be printed at the top of this:
usage = """
%(prog)s -h
see available products:
%(prog)s -r <reader> -w <writer> --list-products -f file1 [file2 ...]
basic processing:
%(prog)s -r <reader> -w <writer> [options] -f file1 [file2 ...]
basic processing with limited products:
%(prog)s -r <reader> -w <writer> [options] -p prod1 prod2 -f file1 [file2 ...]
"""
parser = argparse.ArgumentParser(prog=prog, usage=usage,
description="Load, composite, resample, and save datasets.")
parser.add_argument('-v', '--verbose', dest='verbosity', action="count", default=0,
help='each occurrence increases verbosity 1 level through ERROR-WARNING-INFO-DEBUG (default INFO)')
parser.add_argument('-l', '--log', dest="log_fn", default=None,
help="specify the log filename")
parser.add_argument('--progress', action='store_true',
help="show processing progress bar (not recommended for logged output)")
parser.add_argument('--num-workers', type=int, default=4,
help="specify number of worker threads to use (default: 4)")
parser.add_argument('--match-resolution', dest='preserve_resolution', action='store_false',
help="When using the 'native' resampler for composites, don't save data "
"at its native resolution, use the resolution used to create the "
"composite.")
parser.add_argument('-w', '--writers', nargs='+',
help='writers to save datasets with')
parser.add_argument("--list-products", dest="list_products", action="store_true",
help="List available reader products and exit")
subgroups = add_scene_argument_groups(parser)
subgroups += add_resample_argument_groups(parser)
argv_without_help = [x for x in argv if x not in ["-h", "--help"]]
args, remaining_args = parser.parse_known_args(argv_without_help)
# get the logger if we know the readers and writers that will be used
if args.reader is not None and args.writers is not None:
glue_name = args.reader + "_" + "-".join(args.writers or [])
LOG = logging.getLogger(glue_name)
# add writer arguments
if args.writers is not None:
for writer in (args.writers or []):
parser_func = WRITER_PARSER_FUNCTIONS.get(writer)
if parser_func is None:
continue
subgroups += parser_func(parser)
args = parser.parse_args(argv)
if args.reader is None:
parser.print_usage()
parser.exit(1, "\nERROR: Reader must be provided (-r flag).\n"
"Supported readers:\n\t{}\n".format('\n\t'.join(['abi_l1b', 'ahi_hsd', 'hrit_ahi'])))
if args.writers is None:
parser.print_usage()
parser.exit(1, "\nERROR: Writer must be provided (-w flag) with one or more writer.\n"
"Supported writers:\n\t{}\n".format('\n\t'.join(['geotiff'])))
def _args_to_dict(group_actions):
return {ga.dest: getattr(args, ga.dest) for ga in group_actions if hasattr(args, ga.dest)}
scene_args = _args_to_dict(subgroups[0]._group_actions)
load_args = _args_to_dict(subgroups[1]._group_actions)
resample_args = _args_to_dict(subgroups[2]._group_actions)
writer_args = {}
for idx, writer in enumerate(args.writers):
sgrp1, sgrp2 = subgroups[3 + idx * 2: 5 + idx * 2]
wargs = _args_to_dict(sgrp1._group_actions)
if sgrp2 is not None:
wargs.update(_args_to_dict(sgrp2._group_actions))
writer_args[writer] = wargs
# get default output filename
if 'filename' in wargs and wargs['filename'] is None:
wargs['filename'] = get_default_output_filename(args.reader, writer)
if not args.filenames:
parser.print_usage()
parser.exit(1, "\nERROR: No data files provided (-f flag)\n")
# Prepare logging
rename_log = False
if args.log_fn is None:
rename_log = True
args.log_fn = glue_name + "_fail.log"
levels = [logging.ERROR, logging.WARN, logging.INFO, logging.DEBUG]
setup_logging(console_level=levels[min(3, args.verbosity)], log_filename=args.log_fn)
logging.getLogger('rasterio').setLevel(levels[min(2, args.verbosity)])
sys.excepthook = create_exc_handler(LOG.name)
if levels[min(3, args.verbosity)] > logging.DEBUG:
import warnings
warnings.filterwarnings("ignore")
LOG.debug("Starting script with arguments: %s", " ".join(sys.argv))
# Set up dask and the number of workers
if args.num_workers:
from multiprocessing.pool import ThreadPool
dask.config.set(pool=ThreadPool(args.num_workers))
# Parse provided files and search for files if provided directories
scene_args['filenames'] = get_input_files(scene_args['filenames'])
# Create a Scene, analyze the provided files
LOG.info("Sorting and reading input files...")
try:
scn = Scene(**scene_args)
except ValueError as e:
LOG.error("{} | Enable debug message (-vvv) or see log file for details.".format(str(e)))
LOG.debug("Further error information: ", exc_info=True)
return -1
except OSError:
LOG.error("Could not open files. Enable debug message (-vvv) or see log file for details.")
LOG.debug("Further error information: ", exc_info=True)
return -1
if args.list_products:
print("\n".join(sorted(scn.available_dataset_names(composites=True))))
return 0
# Rename the log file
if rename_log:
rename_log_file(glue_name + scn.attrs['start_time'].strftime("_%Y%m%d_%H%M%S.log"))
# Load the actual data arrays and metadata (lazy loaded as dask arrays)
if load_args['products'] is None:
try:
reader_mod = importlib.import_module('polar2grid.readers.' + scene_args['reader'])
load_args['products'] = reader_mod.DEFAULT_PRODUCTS
LOG.info("Using default product list: {}".format(load_args['products']))
except (ImportError, AttributeError):
LOG.error("No default products list set, please specify with `--products`.")
return -1
LOG.info("Loading product metadata from files...")
scn.load(load_args['products'])
resample_kwargs = resample_args.copy()
areas_to_resample = resample_kwargs.pop('grids')
grid_configs = resample_kwargs.pop('grid_configs')
resampler = resample_kwargs.pop('resampler')
if areas_to_resample is None and resampler in [None, 'native']:
# no areas specified
areas_to_resample = ['MAX']
elif areas_to_resample is None:
raise ValueError("Resampling method specified (--method) without any destination grid/area (-g flag).")
elif not areas_to_resample:
# they don't want any resampling (they used '-g' with no args)
areas_to_resample = [None]
has_custom_grid = any(g not in ['MIN', 'MAX', None] for g in areas_to_resample)
if has_custom_grid and resampler == 'native':
LOG.error("Resampling method 'native' can only be used with 'MIN' or 'MAX' grids "
"(use 'nearest' method instead).")
return -1
p2g_grid_configs = [x for x in grid_configs if x.endswith('.conf')]
pyresample_area_configs = [x for x in grid_configs if not x.endswith('.conf')]
if not grid_configs or p2g_grid_configs:
# if we were given p2g grid configs or we weren't given any to choose from
from polar2grid.grids import GridManager
grid_manager = GridManager(*p2g_grid_configs)
else:
grid_manager = {}
if pyresample_area_configs:
from pyresample.utils import parse_area_file
custom_areas = parse_area_file(pyresample_area_configs)
custom_areas = {x.area_id: x for x in custom_areas}
else:
custom_areas = {}
ll_bbox = resample_kwargs.pop('ll_bbox')
if ll_bbox:
scn = scn.crop(ll_bbox=ll_bbox)
wishlist = scn.wishlist.copy()
preserve_resolution = get_preserve_resolution(args, resampler, areas_to_resample)
if preserve_resolution:
preserved_products = set(wishlist) & set(scn.datasets.keys())
resampled_products = set(wishlist) - preserved_products
# original native scene
to_save = write_scene(scn, args.writers, writer_args, preserved_products)
else:
preserved_products = set()
resampled_products = set(wishlist)
to_save = []
LOG.debug("Products to preserve resolution for: {}".format(preserved_products))
LOG.debug("Products to use new resolution for: {}".format(resampled_products))
for area_name in areas_to_resample:
if area_name is None:
# no resampling
area_def = None
elif area_name == 'MAX':
area_def = scn.max_area()
elif area_name == 'MIN':
area_def = scn.min_area()
elif area_name in custom_areas:
area_def = custom_areas[area_name]
elif area_name in grid_manager:
from pyresample.geometry import DynamicAreaDefinition
p2g_def = grid_manager[area_name]
area_def = p2g_def.to_satpy_area()
if isinstance(area_def, DynamicAreaDefinition) and p2g_def['cell_width'] is not None:
area_def = area_def.freeze(scn.max_area(),
resolution=(abs(p2g_def['cell_width']), abs(p2g_def['cell_height'])))
else:
area_def = get_area_def(area_name)
if resampler is None and area_def is not None:
rs = 'native' if area_name in ['MIN', 'MAX'] else 'nearest'
LOG.debug("Setting default resampling to '{}' for grid '{}'".format(rs, area_name))
else:
rs = resampler
if area_def is not None:
LOG.info("Resampling data to '%s'", area_name)
new_scn = scn.resample(area_def, resampler=rs, **resample_kwargs)
elif not preserve_resolution:
# the user didn't want to resample to any areas
# the user also requested that we don't preserve resolution
# which means we have to save this Scene's datasets
# because they won't be saved
new_scn = scn
to_save = write_scene(new_scn, args.writers, writer_args, resampled_products, to_save=to_save)
if args.progress:
pbar = ProgressBar()
pbar.register()
LOG.info("Computing products and saving data to writers...")
compute_writer_results(to_save)
LOG.info("SUCCESS")
return 0
# -*- coding: utf-8 -*-
"""
Created on Sun Nov 12 13:26:55 2017
@author: vkvalappil
"""
import pyresample as pr
from pyresample import kd_tree, geometry
from pyresample import utils
swath_def = geometry.SwathDefinition(lons=lon1, lats=lat1)
area_def = utils.parse_area_file(
'/home/vkvalappil/Data/modelWRF/input/region_config.cfg', 'scan2')[0]
result = kd_tree.resample_nearest(swath_def,
brt,
area_def,
radius_of_influence=12000,
epsilon=100,
fill_value=None)
pr.plot.save_quicklook(
'/home/vkvalappil/Data/modelWRF/input/iasi_ctp_quick.png',
area_def,
result,
label='AMSUA Brightness Temp',
coast_res='h')
area_id = 'uae'
description = 'uae wrf domain'
proj_id = 'uae'
x_size = 425
if k == 6001:
lon.append((0, 0, v))
if k == 7004:
pres.append((0, 0, v))
gotit = 1
print len(lon), len(lat), len(pres)
lons = np.concatenate(lon)
lats = np.concatenate(lat)
pres = np.concatenate(pres) / 100.0 # hPa
pres = np.ma.masked_greater(pres, 1.0e+6)
import pyresample as pr
from pyresample import kd_tree, geometry
from pyresample import utils
swath_def = geometry.SwathDefinition(lons=lons, lats=lats)
area_def = utils.parse_area_file('region_config.cfg', 'scanX')[0]
result = kd_tree.resample_nearest(swath_def,
pres,
area_def,
radius_of_influence=12000,
epsilon=100,
fill_value=None)
pr.plot.save_quicklook(pngfile,
area_def,
result,
label='IASI - Cloud Top Pressure',
coast_res='l')
for subset in bfr.next_subset():
gotit = 0
for k, m, (v, q) in subset.next_data():
if gotit:
continue
if k == 5001:
lat.append((0, 0, v))
if k == 6001:
lon.append((0, 0, v))
if k == 7004:
pres.append((0, 0, v))
gotit = 1
lons = np.concatenate(lon)
lats = np.concatenate(lat)
pres = np.concatenate(pres) / 100.0 # hPa
pres = np.ma.masked_greater(pres, 1.0e+6)
import pyresample as pr
from pyresample import kd_tree, geometry
from pyresample import utils
swath_def = geometry.SwathDefinition(lons=lons, lats=lats)
area_def = utils.parse_area_file('region_config.cfg', AREA)[0]
result = kd_tree.resample_nearest(swath_def, pres,
area_def,
radius_of_influence=12000,
epsilon=100,
fill_value=None)
pr.plot.save_quicklook(PNGFILE % AREA,
area_def, result, label='IASI - Cloud Top Pressure',
coast_res='l')
