Connectivity modeling system (CMS)
Connectivity modeling system (CMS)
This website will soon host an open source code and User manual of a software package called the Connectivity Modeling System (CMS), a parallel implementation of an individual-based model (BiOphysical Larval Tracking Sysem, BOLTS) featuring on-the-fly access of ocean model data using OPeNDAP and statistical interpolation of observations. The CMS has a wide range of applications, from physical-biological interactions to conservation and evolution issues. The long term goal of this project is to make the CMS a state of the art community biophysical model with Lagrangian and Eulerian data assimilation and nesting capabilities.
The CMS has been developed to study complex larval migrations. The CMS is designed to simulate larval movement, growth, and survivorship, taking into account interactions with the pelagic physical environment and the benthic habitat. It is also used to give probabilistic estimates of the transport of abiotic buoyant particles such as crude oil in suspension in seawater.
Release FALL 2011
- Open source code and manual download by Users
- Illustrations of the model architecture, implementation, computational performance, and the use of this package
Contact
Claire B. Paris, Physical-Biological Interactions Lab, cparis@rsmas.miami.edu
CollaboratorS
Ashwanth Srinivasan, Center for Computational Science
Judith Helgers, Center for Computational Science
USERS
Johnathan Kool, ARC Center of Excellence, James Cook University
Peter Mumby, Queensland University
Robert Cowen, RSMAS MBF
Villy Kourafalou, RSMAS MPO
Matthieu Le Hénaff, RSMAS CIMAS
Eric Chassignet, FSU Center for Ocean-Atmospheric Prediction Studies
Su Sponaugle, RSMAS MBF
Sally Wood, University of Bristol
Laurent Cherubin, UVI
a modeling system to measure dispersal characteristics and marine population connectivity
Photos: Cedric Guigand; Graphics: Claire Paris & Johnathan Kool
Rosenstiel School of Marine & Atmospheric Science, 4600 Rickenbacker Causeway, Miami, FL 33149-1098, TEL 305.421.4000
University of Miami