Skip to main content

Fast offline Lagrangian particle tracking in the Ocean for structured and unstructured grids

Project description

OceanTracker

Fast particle tracking in structured and unstructured grids

OceanTracker is a fast extendable code for offline particle tracking in structured and unstructured grids [1]. OceanTracker currently supports structured grid ROMs and GLORYS (NEMO/COPERNICUS) for fixed z level vertical grids and unstructured grids of SCHISM (both original netcdf format and new format with variables split between files) and DELFT3D-FM. Other formats added on request.

Fast computational approaches to numerical interpolation makes OceanTracker extremely fast even on a single computer core [2]. In addition, intense computations are split to run in parallel across available physical computer cores.

OceanTracker’s speed enables millions of particles to be simulated. This significantly increases the range of particle behaviours that can be modeled and the quality of statistics derived from the particles. To eliminate the need to store and wade through the analysis of vast volumes of recorded particle tracks, the code has the ability to calculate statistics on the fly, such as heat maps and connectivity between regions.

OceanTracker code is highly flexible and extendable by the user, whether run by a new user with a text file of parameters, or by an expert adding their specialised code for novel particle behaviours or statistics, to the computational pipe line

More about Ocean tracker and gallery

Installing Oceantracker

Running Oceantracker

Howto tutorials

[1] Vennell, R.,Steidle. L., Scheel, M.,Chaput. R., Knight, B. and Smeaton, M, OceanTracker 0.5: Fast Adaptable Lagrangian Particle Tracking in Structured and Unstructured Grid, preprint, https://eartharxiv.org/repository/view/8387/

[2] Vennell, R., Scheel, M., Weppe, S., Knight, B. and Smeaton, M., 2021. Fast lagrangian particle tracking in unstructured ocean model grids , Ocean Dynamics, 71(4), pp.423-437.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

oceantracker-0.5.3.0.tar.gz (238.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

oceantracker-0.5.3.0-py3-none-any.whl (306.4 kB view details)

Uploaded Python 3

File details

Details for the file oceantracker-0.5.3.0.tar.gz.

File metadata

  • Download URL: oceantracker-0.5.3.0.tar.gz
  • Upload date:
  • Size: 238.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for oceantracker-0.5.3.0.tar.gz
Algorithm Hash digest
SHA256 79409cbfe489d7582f6353545fde10a0247a349b8698354c4979e9213b0c0bb2
MD5 7c4904eabe6260751acb2f4267270cef
BLAKE2b-256 7c8455ffadb3c2bbb5bc3bbcf49bd314e64bc56a5ae0c47ebfbc54dee1acc49f

See more details on using hashes here.

File details

Details for the file oceantracker-0.5.3.0-py3-none-any.whl.

File metadata

  • Download URL: oceantracker-0.5.3.0-py3-none-any.whl
  • Upload date:
  • Size: 306.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for oceantracker-0.5.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3d8d220e9848a6898bd8d37d36eef9fd322f302b9e9d88940b9f4b53095f79ba
MD5 153c1c7898e2dc43866a2c9581c31f70
BLAKE2b-256 c16b0c6a11f85f54a9e33f8184a94029e9a9ec053a35b1c239488a6b261a15b5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page