GRIIDC | R1.x134.116:0003

Dataset Available Cold Storage

Coupled atmosphere-wave-ocean model of the Gulf of Mexico (July-August 2012), Ocean model dataset

Authors: Chen, Shuyi

Published On: Sep 06 2013 18:16 UTC

DOI: https://doi.org/10.7266/N7BG2KWS

UDI: R1.x134.116:0003

Cold Storage Files

Number of Cold Storage Files:
82

Cold Storage File Size:
54.13 GB

File Format:
netCDF

Project Information

Funded By:
Gulf of Mexico Research Initiative

Funding Cycle:
RFP-I

Research Group:
Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE)

Point of Contact

Shuyi Chen
University of Miami / Rosenstiel School of Marine and Atmospheric Science
schen@rsmas.miami.edu

Data Collection Period

2012-06-29

2012-08-29

Theme keywords

UMCM, Surface data, GLAD, Isaac, HYCOM, Ocean, SST, SSH, surface salinity, surface current

ISO 19115-2 Metadata

View Metadata

Abstract:

Coupled atmosphere-wave-ocean modeling of the entire Gulf of Mexico during July through August 2012. Atmosphere model: Weather Research and Forecasting model (WRF), Wave model: University of Miami Wave Model (UMWM), and Ocean model: Hybrid Coordinate Model (HYCOM). This dataset comprises the surface data from ocean component (HYCOM). This dataset was created by the Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE). This research was made possible by a grant from BP/The Gulf of Mexico Research Initiative.

Suggested Citation:

Chen, Shuyi. 2013. Coupled atmosphere-wave-ocean model of the Gulf of Mexico (July-August 2012), Ocean model dataset. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7BG2KWS

Publications:

Curcic, M., Chen, S. S., & Özgökmen, T. M. (2016). Hurricane-induced ocean waves and stokes drift and their impacts on surface transport and dispersion in the Gulf of Mexico. Geophysical Research Letters, 43(6), 2773–2781. doi:10.1002/2015gl067619

Purpose:

This dataset comprises surface data from ocean component in UMCM.

Data Parameters and Units: