parcels

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particle load balancing in parallel runs

20

OceanParcels continues to be very useful; thanks! I am now running global problems with Mercator currents tracking coastal dispersal. I run on a large computer in parallel; this data is...

JamiePringle

Recently, we encountered errors in testing palaeo-plankton runs within the new parcels version. There, an errors occurs when attempting to load a 2D-stored field as a 3D field, giving the...

CKehl

List of Particle Arrays structure for ParticleSet - DO NOT MERGE - DO NOT CLOSE

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CKehl

CKehl

Rewrite Particle loops to be over objects, instead of integers

4

Make the loops in `Field` and `FieldSet` that access `Particles` (in particular those two classes; possibly others too) independent of of the order - hence: migrate loops like ```python for...

erikvansebille

Support Global Particle ID constructors

3

Currently, tracking a unique identifier of particles (the ID) is hardly possible. Some of the ID information is stored as class-static variable info (basically: every particle itself has a one...

erikvansebille

Currently, Parcels-functionality is only majorly tested in sequential mode via `pytest`, supplemented by a few MPI tests that are integrated as systems calls in `test_mpirun.py`. This is insufficient and an...

CKehl

Internally compute Field derivatives

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Parcels currently lacks automatic computation of the derivative of a `Field`. A use case is computing the gradient in a diffusivity field. In the `AdvectionDiffusion` kernels, this is now implemented...

daanreijnders

Improving Parcels efficiency

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The next main goal in Parcels development is to obtain an efficient parallel version. To do so, let's present here what is the code structure, what are its strengths and...

delandmeterp

One of the major sources for memory leaks in Parcels is the lack of destructors (`__del__(self)`) functions, which are called when an object is deleted. This accounts mostly for dynamic...

erikvansebille