R3351/configuration.py
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configuration.py
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			###########################################################################
			# #
			# Copyright 2017 Andrea Cimatoribus #
			# EPFL ENAC IIE ECOL #
			# GR A1 435 (Batiment GR) #
			# Station 2 #
			# CH-1015 Lausanne #
			# Andrea.Cimatoribus@epfl.ch #
			# #
			# This file is part of ctracker #
			# #
			# ctracker 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. #
			# #
			# ctracker 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 ctracker. If not, see <http://www.gnu.org/licenses/>. #
			# #
			###########################################################################

			#
			# MITgcm results description
			#

			# Directory containing the hydrodynamics fields
			gcm_directory = "/home/cimatori/Work/mitgcm/lac_leman/run_2016"

			# u-velocity filename root
			u_root = "UVEL"
			# v-velocity filename root
			v_root = "VVEL"
			# w-velocity filename root
			w_root = "WVEL"

			# output data type (">f8" for double precision, ">f4" for single)
			out_prec = ">f4"

			# grid geometry used in the MITgcm simulation
			gcm_geometry = "curvilinear"

			# reference date of MITgcm simulation
			gcm_start = "2013-11-12 12:00"

			# MITgcm time step in seconds
			gcm_dt = 20.0

			# MITgcm output time step in seconds
			out_dt = 1800.0


			#
			# Simulation configuration
			#

			# file name for output (netcdf)
			outfile = "/home/cimatori/Work/ctracker/ensemble_2016_hydrostatic/results/tracks1.nc"

			# compression level in the output file,
			# between 0 (larger file size, faster writing)
			# and 9 (smaller file size, slower writing)
			# Usually a small value, 2 or 3, is already
			# enough to reduce substantially the file size
			# without slowing down the code too much
			complevel = 1

			# HDF5 internals configuration
			# useful for speeding up IO
			# chunking size along particle id direction
			chunk_id = 1068
			# chunking size along time direction
			chunk_time = 8

			# what output to produce:
			# "gcmstep": output at the time step of the GCM,
			# this should be the obvious choice.
			# "always": output at all iterations
			# (not to be used for large particle ensembles)
			# it uses a lot of memory, makes the code slower
			# "cross": output at cell crossing
			outfreq = "gcmstep"

			# if outfreq == "gcmstep", one can decide to output
			# only at multiple integers of the GCM step
			# 1: every timestep, 2: every other, ...
			out_gcmstep = 6

			# start date of particle tracking simulation
			start = "2015-12-12 12:30"

			# end date of particle tracking simulation
			#end = "2015-12-17 12:30"
			end = "2017-01-01 00:00"

			# list of seed points coordinates
			import numpy as np
			# we seed along a transect off the Rhone outflow
			npts = 5
			p0 = (553319., 137896.) # km CH03
			p1 = (555803., 139517.)
			z0 = 2.5
			z1 = 100.
			dz = 5.0
			zs = np.arange(z0, z1, dz)
			xs = np.linspace(p0[0], p1[0], npts)
			ys = np.linspace(p0[1], p1[1], npts)
			X, Z = np.meshgrid(xs, zs)
			Y, Z = np.meshgrid(ys, zs)
			x_seed = X.ravel()
			y_seed = Y.ravel()
			z_seed = Z.ravel()

			# if inds_seed is True, x_seed, y_seed and z_seed are
			# given in terms of (fractional) indices, otherwise they
			# are interpreted as being in the same units as the MITgcm grid
			inds_seed = False

			# Note that seeding only takes place at the GCM output time
			# If you pass the wrong time, no seeding will take place.
			# seeding start time
			seed_start = "2015-12-12 12:30"

			# seeding end time
			seed_end = "2016-10-01 00:00"

			# seeding interval in seconds
			seed_interval = 7200

			# number of substeps between GCM output
			subiters = 1000

			# forward (1) or backwards (-1) integration
			ff = 1

			# define corners of area where particles will be killed
			# more than one is possible
			# given in (fractional) grid indices of the GCM
			iende = [96.0]
			iendw = [0.0]
			jendn = [100.0]
			jends = [0.0]


			#
			# Configure parallelism
			# Note that the current implementation is such that
			# parallelism makes sense only for large numbers of particles
			#

			# number of threads to use. If 1, run serially
			n_procs = 4

R3351/configuration.py4acc733a4b9dmaster

configuration.pyView Options

R3351/configuration.py
4acc733a4b9dmaster

configuration.py
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