Drogue status of the Lagrangian Submesoscale Experiment (LASER) surface drifters

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

DOI:
10.7266/N7QN656H
 
UDI:
R4.x265.000:0044
Last Update:
Aug 22 2017 19:26 UTC
 
Dataset Author(s):
A. C. Haza, E. D'Asaro, H. Chang, S. Chen, M. Curcic, C. Guigand, H. S. Huntley, G. Jacobs, G. Novelli, T. M. Ozgokmen, A. C. Poje, E. Ryan, A. Shcherbina
Point of Contact:
Haza, Angelique C.
University of Miami / Rosenstiel School of Marine and Atmospheric Science
4600 Rickenbacker Causeway
Miami, Florida  33149
USA
ahaza@rsmas.miami.edu
Funding Source:
RFP-IV
 
Extent Description:
Dataset contains drogue status data for LASER surface drifters, no relevant spatial extent.

Identified Submitted In-Review Available
3 3 3 3

Suggested Citation:

A. C. Haza, E. D'Asaro, H. Chang, S. Chen, M. Curcic, C. Guigand, H. S. Huntley, G. Jacobs, G. Novelli, T. M. Ozgokmen, A. C. Poje, E. Ryan, A. Shcherbina. 2017. Drogue status of the Lagrangian Submesoscale Experiment (LASER) surface drifters. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7QN656H

Abstract:

During the LAgrangian Submesoscale ExpeRiment (LASER), more than 1000 biodegradable drifters were launched in the Gulf of Mexico, in order to study surface flows in winter conditions. The floater, extending 5 cm below the surface, contained the satellite tracking system. The drogue, extending 60 cm below the surface, hung beneath the floater on a flexible tether. On some floats, the drogue separated from the floater during storms. An algorithm was developed to detect drogue loss based on two properties that distinguish drogued from undrogued drifters. First, undrogued drifters often flip over, pointing their satellite antenna downward and thus intermittently reducing the frequency of GPS fixes. Second, undrogued drifters respond more strongly to wind forcing than drogued drifters. 40% of the drifters were found to have lost their drogues in the first 7 weeks between January 20, 2016 and March 29, 2016. Drogue loss times were estimated with a precision of less than a half-hour for 60% of the drifters and less than 3 hrs for 85%. The data set contains the drogue status and drogue-loss estimates of all drifters released during LASER, including the precision and uncertainty levels, as well as the drogue loss estimates from GPS transmission anomalies only. Raw drifter data can be found in GRIIDC dataset R4.x265.000:0027.

Purpose:

The CARTHE drogued drifter follows the averaged Lagrangian velocity of the upper 60 cm. Without a drogue, it follows the upper 5 cm flow only. Laboratory tests indicate that the slip velocity is 0.5% and 2% of the 10m wind speed for the drogued and undrogued drifters, respectively. Accurate estimation of drifter dispersion thus clearly requires that the drogue status of each drifter be known throughout the experiment.

Theme Keywords:

drifter drogue loss, Lagrangian velocity, CARTHE drifter, LASER, surface Stokes drift

File Format:

txt

Filename:

DrogueStatus.txt (69.9 KB)

Dataset Downloads:

22

Drogue status of the Lagrangian Submesoscale Experiment (LASER) surface drifters



Identification Information
Distribution Information
Metadata Maintenance Information

Metadata: 
  File identifier: 
      R4.x265.000-0044-metadata.xml
  Language: 
      eng; USA
  Character set: 
    Character set code: 
      utf8
  Hierarchy level: 
    Scope code: 
      dataset
  Metadata author: 
    Responsible party: 
      Individual name: 
          Angelique C. Haza
      Organisation name: 
          University of Miami / Rosenstiel School of Marine and Atmospheric Science
      Position name: 
          Associate Scientist
      Contact info: 
        Contact: 
          Phone: 
            Telephone: 
              Voice: 
                  3054214657
              Facsimile: 
          Address: 
            Address: 
              Delivery point: 
                  4600 Rickenbacker Causeway
              City: 
                  Miami
              Administrative area: 
                  Florida
              Postal code: 
                  33149
              Country: 
                  USA
              Electronic mail address: 
                  ahaza@rsmas.miami.edu
      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/R4.x265.000:0044
Return To Index

Identification info: Data identification: Citation: Citation: Title: Drogue status of the Lagrangian Submesoscale Experiment (LASER) surface drifters Alternate title: LASER drifter drogue status Date: Date: Date: 2017-10-23 Date type: Date type code: publication Identifier: Identifier: Code: Anchor: xlink: https://dx.doi.org/10.7266/N7QN656H title: DOI doi:10.7266/N7QN656H Abstract: During the LAgrangian Submesoscale ExpeRiment (LASER), more than 1000 biodegradable drifters were launched in the Gulf of Mexico, in order to study surface flows in winter conditions. The floater, extending 5 cm below the surface, contained the satellite tracking system. The drogue, extending 60 cm below the surface, hung beneath the floater on a flexible tether. On some floats, the drogue separated from the floater during storms. An algorithm was developed to detect drogue loss based on two properties that distinguish drogued from undrogued drifters. First, undrogued drifters often flip over, pointing their satellite antenna downward and thus intermittently reducing the frequency of GPS fixes. Second, undrogued drifters respond more strongly to wind forcing than drogued drifters. 40% of the drifters were found to have lost their drogues in the first 7 weeks between January 20, 2016 and March 29, 2016. Drogue loss times were estimated with a precision of less than a half-hour for 60% of the drifters and less than 3 hrs for 85%. The data set contains the drogue status and drogue-loss estimates of all drifters released during LASER, including the precision and uncertainty levels, as well as the drogue loss estimates from GPS transmission anomalies only. Raw drifter data can be found in GRIIDC dataset R4.x265.000:0027. Purpose: The CARTHE drogued drifter follows the averaged Lagrangian velocity of the upper 60 cm. Without a drogue, it follows the upper 5 cm flow only. Laboratory tests indicate that the slip velocity is 0.5% and 2% of the 10m wind speed for the drogued and undrogued drifters, respectively. Accurate estimation of drifter dispersion thus clearly requires that the drogue status of each drifter be known throughout the experiment. Status: Progress code: completed Point of contact: Responsible party: Individual name: Angelique C. Haza Organisation name: University of Miami / Rosenstiel School of Marine and Atmospheric Science Position name: Associate Scientist Contact info: Contact: Phone: Telephone: Voice: 3054214657 Facsimile: Address: Address: Delivery point: 4600 Rickenbacker Causeway City: Miami Administrative area: Florida Postal code: 33149 Country: USA Electronic mail address: ahaza@rsmas.miami.edu Role: Role code: principalInvestigator Descriptive keywords: Keywords: Keyword: drifter drogue loss Keyword: Lagrangian velocity Keyword: CARTHE drifter Keyword: LASER Keyword: surface Stokes drift Type: Keyword type code: theme Descriptive keywords: Keywords: Keyword: inapplicable Type: Keyword type code: place Resource constraints: title: Cite As Constraints: Use limitation: A. C. Haza, E. D'Asaro, H. Chang, S. Chen, M. Curcic, C. Guigand, H. S. Huntley, G. Jacobs, G. Novelli, T. M. Ozgokmen, A. C. Poje, E. Ryan, A. Shcherbina. 2017. Drogue status of the Lagrangian Submesoscale Experiment (LASER) surface drifters. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7QN656H 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. Aggregation Info: AggregateInformation: Aggregate Data Set Name: title: Related Publication Citation Citation: Title: Haza, A. C., D’Asaro, E., Chang, H., Chen, S., Curcic, M., Guigand, C., … Shcherbina, A. (2018). Drogue-Loss Detection for Surface Drifters during the Lagrangian Submesoscale Experiment (LASER). Journal of Atmospheric and Oceanic Technology, 35(4), 705–725. doi:10.1175/jtech-d-17-0143.1 Date: inapplicable Aggregate Data Set Identifier: title: Related Publication DOI Identifier: Code: Anchor: xlink: https://dx.doi.org/10.1175/jtech-d-17-0143.1 title: DOI doi:10.1175/jtech-d-17-0143.1 Association Type: Association type code: crossReference Aggregation Info: AggregateInformation: Aggregate Data Set Name: title: Related Publication Citation Citation: Title: Lodise, J., Özgökmen, T., Griffa, A., & Berta, M. (2019). Vertical structure of ocean surface currents under high winds from massive arrays of drifters. Ocean Science, 15(6), 1627–1651. doi:10.5194/os-15-1627-2019 Date: inapplicable Aggregate Data Set Identifier: title: Related Publication DOI Identifier: Code: Anchor: xlink: https://dx.doi.org/10.5194/os-15-1627-2019 title: DOI doi:10.5194/os-15-1627-2019 Association Type: Association type code: crossReference Aggregation Info: AggregateInformation: Aggregate Data Set Name: title: Related Publication Citation Citation: Title: Jacobs, G. A., D’Addezio, J. M., Bartels, B., & Spence, P. L. (2019). Constrained scales in ocean forecasting. Advances in Space Research. doi:10.1016/j.asr.2019.09.018 Date: inapplicable Aggregate Data Set Identifier: title: Related Publication DOI Identifier: Code: Anchor: xlink: https://dx.doi.org/10.1016/j.asr.2019.09.018 title: DOI doi:10.1016/j.asr.2019.09.018 Association Type: Association type code: crossReference Aggregation Info: AggregateInformation: Aggregate Data Set Name: title: Related Publication Citation Citation: Title: Lodise, J., Özgökmen, T., Gonçalves, R. C., Iskandarani, M., Lund, B., Horstmann, J., … Guigand, C. (2020). Investigating the Formation of Submesoscale Structures along Mesoscale Fronts and Estimating Kinematic Quantities Using Lagrangian Drifters. Fluids, 5(3), 159. doi:10.3390/fluids5030159 Date: inapplicable Aggregate Data Set Identifier: title: Related Publication DOI Identifier: Code: Anchor: xlink: https://dx.doi.org/10.3390/fluids5030159 title: DOI doi:10.3390/fluids5030159 Association Type: Association type code: crossReference Aggregation Info: AggregateInformation: Aggregate Data Set Name: title: Related Publication Citation Citation: Title: Haza, A. C., Paldor, N., Özgökmen, T. M., Curcic, M., Chen, S. S., & Jacobs, G. (2019). Wind‐Based Estimations of Ocean Surface Currents From Massive Clusters of Drifters in the Gulf of Mexico. Journal of Geophysical Research: Oceans, 124(8), 5844–5869. doi:10.1029/2018jc014813 Date: inapplicable Aggregate Data Set Identifier: title: Related Publication DOI Identifier: Code: Anchor: xlink: https://dx.doi.org/10.1029/2018JC014813 title: DOI doi:10.1029/2018JC014813 Association Type: Association type code: crossReference Language: eng; USA Topic category: Topic category code: oceans Topic category: Topic category code: climatologyMeteorologyAtmosphere Extent: Extent: Description: Dataset contains drogue status data for LASER surface drifters, no relevant spatial extent. Supplemental Information: Drifter ID, drogue-loss date precision level (1 = within 30 mins, 2 = within 3 hours, 3 = >3 hours, 0 = no drogue-loss detected), drogue-loss date (in Year Day of 2016), drogued drifter uncertainty date (Year Day of 2016, zero if not drogued), drogued drifter uncertainty level (1=likely drogued, 2=likely undrogued, 3=unknown, 0 = undrogued status), GPS transmission anomaly date (days since 2016-01-01)|||||
Return To Index

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: txt Version: inapplicable File decompression technique: Distributor transfer options: Digital transfer options: Transfer size: 0.0699 Online: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org/data/R4.x265.000:0044 Protocol: https Name: Data Landing Page Description: GRIIDC dataset landing page Function: Online function code: information
Return To Index

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: R4.x265.000:0044 on 2021-09-23T19:16:58-05:00
Return To Index

Dataset Links: