opendrift.models.openberg

This code is initiated from the following reference with posterior modifications.

Reference: Keghouche, I., F. Counillon, and L. Bertino (2010), Modeling dynamics and thermodynamics of icebergs in the Barents Sea from 1987 to 2005, J. Geophys. Res., 115, C12062, doi:10.1029/2010JC006165.

Module Contents

Classes

IcebergObj	Extending Lagrangian3DArray with relevant properties for an Iceberg
OpenBerg	Open source buoyant particle trajectory model based on OpenDrift.

Functions

ocean_force(iceb_vel, water_vel, Ao, rho_water, ...)	Ocean force
wind_force(iceb_vel, wind_vel, Aa, wind_drag_coef)	Wind force
wave_radiation_force(rho_water, wave_height, ...)	Wave radiation force
advect_iceberg_no_acc(f, water_vel, wind_vel)	Advect iceberg without acceleration
sea_ice_force(iceb_vel, sea_ice_conc, ...)	Sea ice force
coriolis_force(iceb_vel, mass, lat)
melwav(iceb_length, iceb_width, x_wind, y_wind, sst, ...)	Update the iceberg's dimensions (length and width) due to wave erosion
mellat(iceb_length, iceb_width, tempib, salnib, dt)	Update the iceberg's dimensions (length and width) due to lateral melting
melbas(iceb_draft, iceb_sail, iceb_length, salnib, ...)	Update the iceberg's dimensions (draft and sail) due to forced convection

Attributes

logger
rho_water
rho_air
rho_ice
rho_iceb
g
csi
wave_drag_coef
omega

opendrift.models.openberg.logger

opendrift.models.openberg.rho_water = 1027

opendrift.models.openberg.rho_air = 1.293

opendrift.models.openberg.rho_ice = 917

opendrift.models.openberg.rho_iceb = 900

opendrift.models.openberg.g = 9.81

opendrift.models.openberg.csi = 1

opendrift.models.openberg.wave_drag_coef = 0.3

opendrift.models.openberg.omega = 7.2921e-05

class opendrift.models.openberg.IcebergObj(**kwargs)

Bases: opendrift.models.oceandrift.Lagrangian3DArray

Extending Lagrangian3DArray 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.

variables

opendrift.models.openberg.ocean_force(iceb_vel, water_vel, Ao, rho_water, water_drag_coef)

Ocean force Args:

iceb_vel : Iceberg’s velocity at time t water_vel : Ocean current velocity Ao : Iceberg’s area exposed to the ocean current(length x draft) rho_water : Water density water_drag_coef : Co is the drag coefficient applied on the iceberg’s draft

opendrift.models.openberg.wind_force(iceb_vel, wind_vel, Aa, wind_drag_coef)

Wind force Args:

iceb_vel : Iceberg’s velocity at time t wind_vel : Wind velocity Aa : Iceberg’s area exposed to the wind (length x sail) rho_air : Air density wind_drag_coef : Ca is the drag coefficient applied on the iceberg’s sail

opendrift.models.openberg.wave_radiation_force(rho_water, wave_height, wave_direction, iceb_length)

Wave radiation force Args:

iceb_vel : Iceberg velocity at time t rho_water : Water density wave_height : Wave significant height wave_direction : Wave direction iceb_length : Iceberg’s length

Returns:

Wave radiation force

opendrift.models.openberg.advect_iceberg_no_acc(f, water_vel, wind_vel)

Advect iceberg without acceleration Args:

f : Wind drift factor water_vel : Ocean current velocity wind_vel : Wind velocity

Returns:

Iceberg’s velocity without acceleration

opendrift.models.openberg.sea_ice_force(iceb_vel, sea_ice_conc, sea_ice_thickness, sea_ice_vel, iceb_width, sum_force)

Sea ice force Args:

iceb_vel : Iceberg velocity at time t sea_ice_conc : Sea ice concentration sea_ice_thickness : Sea ice thickness sea_ice_vel : Sea ice velocity rho_ice : Sea ice density iceb_width : Iceberg width sum_force : Effect of all other forces exerted on the iceberg (apart from the sea ice force)

opendrift.models.openberg.coriolis_force(iceb_vel, mass, lat)

opendrift.models.openberg.melwav(iceb_length, iceb_width, x_wind, y_wind, sst, sea_ice_conc, dt)

Update the iceberg’s dimensions (length and width) due to wave erosion Args:

iceb_length : Iceberg’s length iceb_width : Iceberg’s width x_wind : Wind speed in the x-direction y_wind : Wind speed in the y-direction sst : Sea surface temperature sea_ice_conc : Sea ice concentration dt : Timestep of the simulation

opendrift.models.openberg.mellat(iceb_length, iceb_width, tempib, salnib, dt)

Update the iceberg’s dimensions (length and width) due to lateral melting Args:

iceb_length : Iceberg’s length iceb_width : Iceberg’s width tempib : Water temperature salnib : Water salinity dt : Timestep of the simulation

opendrift.models.openberg.melbas(iceb_draft, iceb_sail, iceb_length, salnib, tempib, x_water_vel, y_water_vel, x_iceb_vel, y_iceb_vel, dt)

Update the iceberg’s dimensions (draft and sail) due to forced convection

class opendrift.models.openberg.OpenBerg(*args, **kwargs)

Bases: opendrift.models.oceandrift.OceanDrift

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’)

ElementType

required_variables

get_profile_masked(variable)

Apply a mask to extract data from the surface down to the iceberg’s draft

get_basal_env(variable)

Get the basal layer of the variable for the icebergs

advect_iceberg()

melt()

Enable melting

roll_over()

Iceberg’s stability criterium

update()

Update positions and properties of particles