def __init__(self, configFile, tilegrid, numSim, minRecords, yrsPerSim,
calcCI=False, evd='GEV'):
"""
Initialise HazardCalculator object.
:param str configFile: path to TCRM configuration file.
:param tilegrid: :class:`TileGrid` instance
:param int numSim: number of simulations created.
:param int minRecords: minimum number of valid wind speed values required
to do fitting.
:param int yrsPerSim:
:param boolean calcCI:
:param str extreme_value_distribution: evd to use. Options so far are GEV
and GPD.
"""
config = ConfigParser()
config.read(configFile)
self.nodata = -9999.
self.years = np.array(config.get('Hazard',
'Years').split(',')).astype('f')
self.outputPath = pjoin(config.get('Output', 'Path'), 'hazard')
self.inputPath = pjoin(config.get('Output', 'Path'), 'windfield')
gridLimit = config.geteval('Region', 'gridLimit')
self.numSim = numSim
self.minRecords = minRecords
self.yrsPerSim = yrsPerSim
self.calcCI = calcCI
if self.calcCI:
log.debug("Bootstrap confidence intervals will be calculated")
self.sample_size = config.getint('Hazard', 'SampleSize')
self.prange = config.getint('Hazard', 'PercentileRange')
self.evd = evd
self.tilegrid = tilegrid
lon, lat = self.tilegrid.getDomainExtent()
# Create arrays for storing output data:
self.loc = np.zeros((len(lat), len(lon)), dtype='f')
self.shp = np.zeros((len(lat), len(lon)), dtype='f')
self.scale = np.zeros((len(lat), len(lon)), dtype='f')
self.Rp = np.zeros((len(self.years), len(lat), len(lon)), dtype='f')
self.RPupper = np.zeros((len(self.years), len(lat), len(lon)), dtype='f')
self.RPlower = np.zeros((len(self.years), len(lat), len(lon)), dtype='f')
self.global_atts = {'title': ('TCRM hazard simulation - '
'return period wind speeds'),
'tcrm_version': flProgramVersion(),
'python_version': sys.version}
# Add configuration settings to global attributes:
for section in config.sections():
for option in config.options(section):
key = "{0}_{1}".format(section, option)
value = config.get(section, option)
self.global_atts[key] = value
def __init__(self, configFile, tilegrid, numSim, minRecords, yrsPerSim,
calcCI=False):
"""
Initialise HazardCalculator object.
:param str configFile: path to TCRM configuration file.
:param tilegrid: :class:`TileGrid` instance
:param int numSim: number of simulations created.
:param int minRecords: minimum number of valid wind speed values required
to do fitting.
:param int yrsPerSim:
"""
config = ConfigParser()
config.read(configFile)
self.nodata = -9999.
self.years = np.array(config.get('Hazard',
'Years').split(',')).astype('f')
self.outputPath = pjoin(config.get('Output', 'Path'), 'hazard')
self.inputPath = pjoin(config.get('Output', 'Path'), 'windfield')
gridLimit = config.geteval('Region', 'gridLimit')
self.numSim = numSim
self.minRecords = minRecords
self.yrsPerSim = yrsPerSim
self.calcCI = calcCI
if self.calcCI:
log.debug("Bootstrap confidence intervals will be calculated")
self.sample_size = config.getint('Hazard', 'SampleSize')
self.prange = config.getint('Hazard', 'PercentileRange')
self.tilegrid = tilegrid
lon, lat = self.tilegrid.getDomainExtent()
# Create arrays for storing output data:
self.loc = np.zeros((len(lat), len(lon)), dtype='f')
self.shp = np.zeros((len(lat), len(lon)), dtype='f')
self.scale = np.zeros((len(lat), len(lon)), dtype='f')
self.Rp = np.zeros((len(self.years), len(lat), len(lon)), dtype='f')
self.RPupper = np.zeros((len(self.years), len(lat), len(lon)), dtype='f')
self.RPlower = np.zeros((len(self.years), len(lat), len(lon)), dtype='f')
self.global_atts = {'history': ('TCRM hazard simulation - '
'return period wind speeds'),
'version': flProgramVersion(),
'Python_ver': sys.version}
# Add configuration settings to global attributes:
for section in config.sections():
for option in config.options(section):
key = "{0}_{1}".format(section, option)
value = config.get(section, option)
self.global_atts[key] = value
def __init__(self, configFile):
config = ConfigParser()
config.read(configFile)
self.configFile = configFile
# Define the grid:
gridLimit = config.geteval('Region', 'gridLimit')
gridSpace = config.geteval('Region', 'GridSpace')
self.lon_range = np.arange(gridLimit['xMin'], gridLimit['xMax'] + 0.1,
gridSpace['x'])
self.lat_range = np.arange(gridLimit['yMin'], gridLimit['yMax'] + 0.1,
gridSpace['y'])
outputPath = config.get('Output', 'Path')
self.trackPath = pjoin(outputPath, 'tracks')
self.plotPath = pjoin(outputPath, 'plots', 'stats')
self.dataPath = pjoin(outputPath, 'process')
# Determine TCRM input directory
tcrm_dir = pathLocator.getRootDirectory()
self.inputPath = pjoin(tcrm_dir, 'input')
self.synNumYears = config.getint('TrackGenerator',
'yearspersimulation')
# Longitude crossing gates:
self.gateLons = np.arange(self.lon_range.min(),
self.lon_range.max() + 0.5, 10.)
self.gateLats = np.arange(self.lat_range.min(),
self.lat_range.max() + 0.5, 2.)
# Add configuration settings to global attributes:
self.gatts = {
'history': "Longitude crossing rates for TCRM simulation",
'version': flProgramVersion()
}
for section in config.sections():
for option in config.options(section):
key = "{0}_{1}".format(section, option)
value = config.get(section, option)
self.gatts[key] = value
def __init__(self, configFile):
config = ConfigParser()
config.read(configFile)
self.configFile = configFile
# Define the grid:
gridLimit = config.geteval('Region', 'gridLimit')
gridSpace = config.geteval('Region', 'GridSpace')
self.lon_range = np.arange(gridLimit['xMin'],
gridLimit['xMax'] + 0.1,
gridSpace['x'])
self.lat_range = np.arange(gridLimit['yMin'],
gridLimit['yMax'] + 0.1,
gridSpace['y'])
outputPath = config.get('Output', 'Path')
self.trackPath = pjoin(outputPath, 'tracks')
self.plotPath = pjoin(outputPath, 'plots', 'stats')
self.dataPath = pjoin(outputPath, 'process')
# Determine TCRM input directory
tcrm_dir = pathLocator.getRootDirectory()
self.inputPath = pjoin(tcrm_dir, 'input')
self.synNumYears = config.getint('TrackGenerator',
'yearspersimulation')
# Longitude crossing gates:
self.gateLons = np.arange(self.lon_range.min(),
self.lon_range.max() + 0.5, 10.)
self.gateLats = np.arange(self.lat_range.min(),
self.lat_range.max() + 0.5, 2.)
# Add configuration settings to global attributes:
self.gatts = {'history': "Longitude crossing rates for TCRM simulation",
'version': flProgramVersion() }
for section in config.sections():
for option in config.options(section):
key = "{0}_{1}".format(section, option)
value = config.get(section, option)
self.gatts[key] = value
def __init__(self, configFile):
config = ConfigParser()
config.read(configFile)
self.configFile = configFile
# Define the grid:
gridLimit = config.geteval("Region", "gridLimit")
gridSpace = config.geteval("Region", "GridSpace")
self.lon_range = np.arange(gridLimit["xMin"], gridLimit["xMax"] + 0.1, gridSpace["x"])
self.lat_range = np.arange(gridLimit["yMin"], gridLimit["yMax"] + 0.1, gridSpace["y"])
outputPath = config.get("Output", "Path")
self.trackPath = pjoin(outputPath, "tracks")
self.plotPath = pjoin(outputPath, "plots", "stats")
self.dataPath = pjoin(outputPath, "process")
# Determine TCRM input directory
tcrm_dir = pathLocator.getRootDirectory()
self.inputPath = pjoin(tcrm_dir, "input")
self.synNumYears = config.getint("TrackGenerator", "yearspersimulation")
# Longitude crossing gates:
self.gateLons = np.arange(self.lon_range.min(), self.lon_range.max() + 0.5, 10.0)
self.gateLats = np.arange(self.lat_range.min(), self.lat_range.max() + 0.5, 2.0)
# Add configuration settings to global attributes:
self.gatts = {"history": "Longitude crossing rates for TCRM simulation", "version": flProgramVersion()}
for section in config.sections():
for option in config.options(section):
key = "{0}_{1}".format(section, option)
value = config.get(section, option)
self.gatts[key] = value
