def __init__(self, configFile, progressbar=None):
#CalcTD = CalcTrackDomain(configFile)
#self.domain = CalcTD.calc()
self.configFile = configFile
self.progressbar = progressbar
self.logger = logging.getLogger(__name__)
self.logger.info("Initialising DataProcess")
config = ConfigParser()
config.read(configFile)
self.outputPath = config.get('Output', 'Path')
self.processPath = pjoin(self.outputPath, 'process')
# Determine TCRM input directory
tcrm_dir = pathLocator.getRootDirectory()
self.tcrm_input_dir = pjoin(tcrm_dir, 'input')
landmask = config.get('Input', 'LandMask')
self.landmask = SampleGrid(landmask)
fmt = config.get('Output', 'Format')
self.ncflag = False
if fmt.startswith("nc"):
self.logger.debug("Output format is netcdf")
self.ncflag = True
self.data = {}
#dimensions = {records}
# variables = {init_index(records),
# genesis_index(records),
# non_init_index(records),
# lon(records), lat(records),
# year(records), month(records),
# day(records), hour(records),
# minute(records), julianday(records),
# bearing(records), speed(records),
# pressure(records), lsflag(records), }
# global_attributes = dict(description=
# source_file=,
# source_file_moddate,
# landmask_file=,
# version=,)
elif fmt.startswith("txt"):
self.logger.debug("Output format is text")
self.origin_year = pjoin(self.processPath, 'origin_year')
def __init__(self, configFile, dt):
"""
Initialise required fields
"""
self.configFile = configFile
config = ConfigParser()
config.read(configFile)
landMaskFile = config.get('Input', 'LandMask')
self.landMask = SampleGrid(landMaskFile)
self.tol = 0 # Time over land
self.dt = dt
[LTMSLP]
; MSLP climatology file settings
URL = ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.derived/surface/slp.day.1981-2010.ltm.nc
path = C:/WorkSpace/data/MSLP
filename = slp.day.ltm.nc
"""
config = ConfigParser()
config.readfp(io.StringIO(configstr))
# We load a landmask dataset to allow us to determine
# when TCs are over water or over land
landmask_file = config.get('Input', 'Landmask')
landmask = SampleGrid(landmask_file)
# One thing that we realise in the statistics is that TC behaviour
# changes when a TC makes landfall. And because the number of
# observations in any given cell may not be sufficient to calculate
# reliable statistics, TCRM automatically increases the region that
# is sampled.
# This causes problems in regions close to land. If the model is
# determining statistics for one of these cells close to the coast
# (but offshore), and the expanded region starts capturing observations
# from over land, then the statistics are not truly representative of
# behaviour of offshore TCs. This is important for parameters related
# to intensity - TCs can often continue intensifying right up to landfall.
# But if we are sampling statistics of TCs overland, then we dilute the
# intensity statistics with observations from overland which (nearly without
