Dataset Available

Surface velocity field reconstruction during the Grand Lagrangian Deployment (GLAD) experiment through Lagrangian Variational Analysis (LAVA) in the shallow northeastern Gulf of Mexico, September 2012

Authors: Maristella Berta
Published On: May 24 2016 20:52 UTC
DOI: https://doi.org/10.7266/N7V69GJM
UDI: R1.x134.115:0004
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Individual Files

No. of Downloads: 8

No. of Files: 7

File Size: 3.86 GB

File Format(s):
ASCII

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

Helga S. Huntley
University of Delaware / School of Marine Science and Policy
helgah@udel.edu

Data Collection Period
2012-09-01
to
2012-09-30
Theme keywords

surface velocities, CODE drifters, Lagrangian Variational Analysis, drifters

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Abstract:

The surface velocity field in the northeastern Gulf of Mexico is reconstructed from drifter trajectories collected as part of the Grand Lagrangian Deployment (GLAD) experiment in September 2012. The Lagrangian Variational Analysis (LAVA) approach is used; see Taillandier et al., 2006: A variational approach for the reconstruction of regional scale Eulerian velocity fields from Lagrangian data, Ocean Model., 13, 1-24. This dataset is restricted to shallow waters (north of 27N); a companion dataset (UDI: R1.x134.115:0003) focuses on deeper waters (south of 27N).

Suggested Citation:

Maristella Berta. 2016. Surface velocity field reconstruction during the Grand Lagrangian Deployment (GLAD) experiment through Lagrangian Variational Analysis (LAVA) in the shallow northeastern Gulf of Mexico, September 2012. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7V69GJM

Purpose:

To estimate synoptic surface velocities from drifter positions.

Data Parameters and Units:

longitude (degree), latitude (degrees), u-velocities (m/s), v-velocities (m/s)

Methods:

Lagrangian Variational Analysis

Individual Files: