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

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

DOI:
10.7266/N7000029
 
UDI:
R1.x134.115:0003
Last Update:
Jun 10 2016 10:24 UTC
 
Dataset Author(s):
Maristella Berta
Point of Contact:
Huntley, Helga S.
University of Delaware / School of Marine Science and Policy
College of Earth, Ocean, and Environment 306 Robinson Hall
Newark, Delaware  19716
USA
helgah@udel.edu
Funding Source:
RFP-I
Data Collection Period:
2012-09-01 to 2012-09-30

Identified Submitted In-Review Available
3 3 3 3

Suggested Citation:

Maristella Berta. 2016. Surface velocity field reconstruction during the Grand Lagrangian Deployment (GLAD) experiment through Lagrangian Variational Analysis (LAVA) in the deep northeastern Gulf of Mexico, September 2012. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7000029

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 deeper waters (south of 27N); a companion dataset focuses on shallower waters (north of 27N).

Purpose:

To estimate synoptic surface velocities from drifter positions.

Theme Keywords:

surface velocities, CODE drifters, Lagrangian Variational Analysis, drifters

File Format:

ASCII

Filename:

LAVA_deep.zip (99.26 MB)

Dataset Downloads:

10

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



Identification Information
Distribution Information
Metadata Maintenance Information

Metadata: 
  File identifier: 
      R1.x134.115-0003-metadata.xml
  Language: 
      eng; USA
  Character set: 
    Character set code: 
      utf8
  Hierarchy level: 
    Scope code: 
      dataset
  Metadata author: 
    Responsible party: 
      Individual name: 
          Maristella Berta
      Organisation name: 
          Consiglio Nazionale delle Riceche / ISMAR Istituto di Scienze Marine/Arsenale
      Position name: 
          Postdoctoral Researcher
      Contact info: 
        Contact: 
          Phone: 
            Telephone: 
              Voice: 
                  0187178891
              Facsimile: 
          Address: 
            Address: 
              Delivery point: 
                  Tesa 104
                  Castello 2737/F
              City: 
                  Venezia
              Administrative area: 
                  Veneto
              Postal code: 
                  30122
              Country: 
                  ITA
              Electronic mail address: 
                  maristella.berta@sp.ismar.cnr.it
      Role: 
        Role code: 
          pointOfContact
  Date stamp: 
      2021-05-04T20:04:57+00:00
  Metadata standard name: 
      ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
  Metadata standard version: 
      ISO 19115-2:2009(E)
  Dataset URI: 
      https://data.gulfresearchinitiative.org/metadata/R1.x134.115:0003
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Identification info: Data identification: Citation: Citation: Title: Surface velocity field reconstruction during the Grand Lagrangian Deployment (GLAD) experiment through Lagrangian Variational Analysis (LAVA) in the deep northeastern Gulf of Mexico, September 2012 Alternate title: LAVA reconstruction of deep ocean surface velocities from GLAD drifters, September 2012 Date: Date: Date: 2016-01-21 Date type: Date type code: publication Identifier: Identifier: Code: Anchor: xlink: https://dx.doi.org/10.7266/N7000029 title: DOI doi:10.7266/N7000029 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 deeper waters (south of 27N); a companion dataset focuses on shallower waters (north of 27N). Purpose: To estimate synoptic surface velocities from drifter positions. Status: Progress code: completed Point of contact: Responsible party: Individual name: Helga S. Huntley Organisation name: University of Delaware / School of Marine Science and Policy Position name: Research Assistant Professor Contact info: Contact: Phone: Telephone: Voice: 3028311175 Facsimile: Address: Address: Delivery point: College of Earth, Ocean, and Environment 306 Robinson Hall City: Newark Administrative area: Delaware Postal code: 19716 Country: USA Electronic mail address: helgah@udel.edu Role: Role code: pointOfContact Point of contact: Responsible party: Individual name: Maristella Berta Organisation name: Consiglio Nazionale delle Riceche / ISMAR Istituto di Scienze Marine/Arsenale Position name: Postdoctoral Researcher Contact info: Contact: Phone: Telephone: Voice: 0187178891 Facsimile: Address: Address: Delivery point: Tesa 104 Castello 2737/F City: Venezia Administrative area: Veneto Postal code: 30122 Country: ITA Electronic mail address: maristella.berta@sp.ismar.cnr.it Role: Role code: principalInvestigator Descriptive keywords: Keywords: Keyword: surface velocities Keyword: CODE drifters Keyword: Lagrangian Variational Analysis Keyword: drifters Type: Keyword type code: theme Descriptive keywords: Keywords: Keyword: Gulf of Mexico Keyword: DeSoto Canyon Type: Keyword type code: place Resource constraints: title: Cite As Constraints: Use limitation: Maristella Berta. 2016. Surface velocity field reconstruction during the Grand Lagrangian Deployment (GLAD) experiment through Lagrangian Variational Analysis (LAVA) in the deep northeastern Gulf of Mexico, September 2012. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7000029 Resource constraints: title: CC0 License Legal constraints: Use constraints: Restriction code: licenceUnrestricted Other constraints: This information is released under the Creative Commons license - No Rights Reserved - CC0 1.0 Universal (https://creativecommons.org/publicdomain/zero/1.0/). The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. Resource constraints: title: Liability and Warranty Legal constraints: Other constraints: All materials on this website are made available to GRIIDC and in turn to you "as-is." Content may only be submitted by an individual who represents and warrants that s/he has sufficient rights to be able to make the content available under a CC0 waiver. There is no warranty (expressed or implied) to these materials, their title, accuracy, non-infringement of third party rights, or fitness for any particular purpose, including the performance or results you may obtain from their use. Use these materials at your own risk. Under no circumstances shall GRIIDC be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use or the inability to use either this website or the materials available via this website. If you are dissatisfied with any website feature, content, or terms of use, your sole and exclusive remedy is to discontinue use. Language: eng; USA Topic category: Topic category code: oceans Extent: Extent: Geographic element: Geographic bounding box: West bound longitude: -92 East bound longitude: -84 South bound latitude: 21 North bound latitude: 27 Geographic element: BoundingPolygon: Polygon: Polygon: Outer boundary: Linear ring: gml:posList: 21 -92 27 -92 27 -84 21 -84 21 -92 Temporal element: Temporal extent: Extent: Time period: Description: ground condition Begin date: 2012-09-01 End date: 2012-09-30 Supplemental Information: longitude (degree), latitude (degrees), u-velocities (m/s), v-velocities (m/s)|Lagrangian Variational Analysis||||
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Distribution info: Distribution: Distributor: Distributor: Distributor contact: Responsible party: Organisation name: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) Contact info: Contact: Phone: Telephone: Voice: 3618253604 Address: Address: Delivery point: 6300 Ocean Drive City: Corpus Christi Administrative area: TX Postal code: 78412 Country: USA Electronic mail address: griidc@gomri.org Online Resource: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org Role: Role code: distributor Distributor format: Format: Name: ASCII Version: inapplicable File decompression technique: zip Distributor transfer options: Digital transfer options: Transfer size: 99.2564 Online: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org/data/R1.x134.115:0003 Protocol: https Name: Data Landing Page Description: GRIIDC dataset landing page Function: Online function code: information
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Metadata maintenance: Maintenance information: Maintenance and update frequency: unknown Maintenance note: This ISO metadata record was automatically generated from information provided to GRIIDC for dataset: R1.x134.115:0003 on 2021-09-23T18:51:42-05:00
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