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