opendrift.elements.elements

Module Contents

Classes

LagrangianArray

A generic array-like class for Lagrangian particle tracking.

class opendrift.elements.elements.LagrangianArray(**kwargs)

A generic array-like class for Lagrangian particle tracking.

A LagrangianArray is a generic class keeping the values of given properties (‘variables’) of a collection of particles at a given time. Values are stored as named attributes (similar to recarray) which are ndarrays (1D, vectors) with one value for each particle, or as scalars for values shared among all particles.

This is an Abstract Base Class, meaning that only subclasses can be used. Subclasses will add specific variables for specific purposes (particle types, e.g. oil, fish eggs…) to the core variables described below.

Attributes:

variables: An OrderedDict where keys are names of the

variables/properties of the current object. The values of the OrderedDict are dictionaries with names such as ‘dtype’, ‘unit’, ‘standard_name’ (CF), ‘default’ etc. All variable names will be added dynamically as attributes of the object after initialisation. These attributes will be numpy ndarrays of same length, or scalars. The core variables are:

• ID: an integer identifying each particle.

• status: 0 for active particles and a positive integer when deactivated

• lon: longitude (np.float32)

• lat: latitude (np.float32)

• z: vertical position of the particle in m, positive upwards (above sea surface)

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

classmethod add_variables(new_variables)

Method used by subclasses to add specific properties/variables.

extend(other)

Add elements from another object.

move_elements(other, indices)

Remove elements with given indices, and append to another object. NB: indices is boolean array, not real indices!

__len__()

__repr__()

Return repr(self).