`opendrift.models.openberg`

Module Contents

`IcebergObj`	Extending LagrangianArray with relevant properties for an Iceberg
`OpenBerg`	Open source buoyant particle trajectory model based on OpenDrift.

class opendrift.models.openberg.IcebergObj(**kwargs)[source]

Extending LagrangianArray with relevant properties for an Iceberg

Initialises a LagrangianArray with given properties.

Args:: Keyword arguments (kwargs) with names corresponding to the OrderedDict ‘variables’ of the class, and corresponding values. The values must be ndarrays of equal length, or scalars. All (or none) variables must be given, unless a default value is specified in the OrderedDict ‘variables’ An empty object may be created by giving no input.

class opendrift.models.openberg.OpenBerg(*args, **kwargs)[source]

Open source buoyant particle trajectory model based on OpenDrift.

Developed at MET Norway

Generic module for particles that move in 3 dimensions and may be to vertical turbulent mixing with the possibility for positive or negative buoyancy

Particles could be e.g. oil droplets, plankton, nutrients or sediments, Model may be subclassed for more specific behaviour.

Initialise OpenDriftSimulation

Args:

seed: integer or None. A given integer will yield identical: random numbers drawn each simulation. Random numbers are e.g. used to distribute particles spatially when seeding, and may be used by modules (subclasses) for e.g. diffusion. Specifying a fixed value (default: 0) is useful for sensitivity tests. With seed = None, different random numbers will be drawn for subsequent runs, even with identical configuration/input.
iomodule: name of module used to export data: default: netcdf, see opendrift.io for more alternatives. iomodule is module/filename without preceeding io_
loglevel: set to 0 (default) to retrieve all debug information.: Provide a higher value (e.g. 20) to receive less output. Use the string ‘custom’ to configure logging from outside.
logtime: if True, a time stamp is given for each logging line.: logtime can also be given as a python time specifier (e.g. ‘%H:%M:%S’)