|
|
GLAD experiment CODE-style drifter trajectories (low-pass filtered, 15 minute interval records), northern Gulf of Mexico near DeSoto Canyon, July-October 2012Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE)
|
||||||||||||||||||||
Suggested Citation:
Özgökmen, Tamay. 2013. GLAD experiment CODE-style drifter trajectories (low-pass filtered, 15 minute interval records), northern Gulf of Mexico near DeSoto Canyon, July-October 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/N7VD6WC8
Abstract:
297 trajectories from near-surface CODE-type ocean drifters (drogued at a depth of one meter) tracked in real-time using SPOT GPS units, launched in the northern Gulf of Mexico near DeSoto Canyon in July 2012 as part of the CARTHE Grand Lagrangian Deployment (GLAD) experiment. Most of these drifters were launched as triplets (separated by roughly 100 meters at launch) in an attempt to measure multi-scale near surface dispersion. Positions are low-pass filtered (one hour cutoff period) and interpolated to uniform 15 minute intervals starting on whole hours over the period July 20 through October 22, 2012. No temperature or salinity sensors were attached to these drifters. 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.
Purpose:
Triads of CODE style drifters (initially separated by roughly 100 meteres) were launched nearly simultaneously to measure near-surface relative dispersion over scales ranging from 100 meters to 100 km.
Theme Keywords:
drifters, dispersion, submesoscale, surface transport, CODE drifter, drifter, transport, oil spill, trajectories
File Format:
dat, txt
Filename:
GLAD_15min_filtered.zip (44.04 MB)
Dataset Downloads:
102
GLAD experiment CODE-style drifter trajectories (low-pass filtered, 15 minute interval records), northern Gulf of Mexico near DeSoto Canyon, July-October 2012
Identification Information
Distribution Information
Metadata Maintenance Information
Metadata:
File identifier:
R1.x134.073-0004-metadata.xml
Language:
eng; USA
Character set:
Character set code:
utf8
Hierarchy level:
Scope code:
dataset
Metadata author:
Responsible party:
Individual name:
Ed Ryan
Organisation name:
University of Miami / Rosenstiel School of Marine and Atmospheric Science
Position name:
Senior Research Associate
Contact info:
Contact:
Phone:
Telephone:
Voice:
3054214109
Facsimile:
Address:
Address:
Delivery point:
4600 Rickenbacker Cswy
City:
Miami
Administrative area:
Florida
Postal code:
33149
Country:
USA
Electronic mail address:
eryan@rsmas.miami.edu
Role:
Role code:
principalInvestigator
Date stamp:
2021-05-04T20:04:56+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.x134.073:0004
Return To Index
Identification info:
Data identification:
Citation:
Citation:
Title:
GLAD experiment CODE-style drifter trajectories (low-pass filtered, 15 minute interval records), northern
Gulf of Mexico near DeSoto Canyon, July-October 2012
Alternate title:
GLAD experiment CODE-style drifter trajectories (low-pass filtered, 15 minute interval records)
Date:
Date:
Date:
2013-08-23
Date type:
Date type code:
publication
Identifier:
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.7266/N7VD6WC8 title: DOI
doi:10.7266/N7VD6WC8
Abstract:
297 trajectories from near-surface CODE-type ocean drifters (drogued at a depth of one meter) tracked in
real-time using SPOT GPS units, launched in the northern Gulf of Mexico near DeSoto Canyon in July 2012 as
part of the CARTHE Grand Lagrangian Deployment (GLAD) experiment. Most of these drifters were launched as
triplets (separated by roughly 100 meters at launch) in an attempt to measure multi-scale near surface
dispersion. Positions are low-pass filtered (one hour cutoff period) and interpolated to uniform 15 minute
intervals starting on whole hours over the period July 20 through October 22, 2012. No temperature or
salinity sensors were attached to these drifters. 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.
Purpose:
Triads of CODE style drifters (initially separated by roughly 100 meteres) were launched nearly simultaneously
to measure near-surface relative dispersion over scales ranging from 100 meters to 100 km.
Status:
Progress code:
completed
Point of contact:
Responsible party:
Individual name:
Brian Haus
Organisation name:
University of Miami / Rosenstiel School of Marine and Atmospheric Science
Position name:
Professor
Contact info:
Contact:
Phone:
Telephone:
Voice:
3054214932
Facsimile:
Address:
Address:
Delivery point:
4600 Rickenbacker Causeway
City:
Miami
Administrative area:
Florida
Postal code:
33149
Country:
USA
Electronic mail address:
bhaus@rsmas.miami.edu
Role:
Role code:
principalInvestigator
Descriptive keywords:
Keywords:
Keyword:
drifters
Keyword:
dispersion
Keyword:
submesoscale
Keyword:
surface transport
Keyword:
CODE drifter
Keyword:
drifter
Keyword:
transport
Keyword:
oil spill
Keyword:
trajectories
Type:
Keyword type code:
theme
Descriptive keywords:
Keywords:
Keyword:
Gulf of Mexico
Keyword:
De Soto Canyon
Type:
Keyword type code:
place
Resource constraints: title: Cite As
Constraints:
Use limitation:
Özgökmen, Tamay. 2013. GLAD experiment CODE-style drifter trajectories (low-pass filtered, 15 minute
interval records), northern Gulf of Mexico near DeSoto Canyon, July-October 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/N7VD6WC8
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:
Berta, M., Griffa, A., Magaldi, M. G., Özgökmen, T. M., Poje, A. C., Haza, A. C., & Olascoaga, M. J.
(2012). Improved Surface Velocity and Trajectory Estimates in the Gulf of Mexico from Blended
Satellite Altimetry and Drifter Data. Journal of Atmospheric and Oceanic Technology,
150904105051007. doi:10.1175/jtech-d-14-00226.1
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1175/jtech-d-14-00226.1 title: DOI
doi:10.1175/jtech-d-14-00226.1
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Carrier, M. J., Ngodock, H., Smith, S., Jacobs, G., Muscarella, P., Ozgokmen, T., … Lipphardt, B.
(2014). Impact of Assimilating Ocean Velocity Observations Inferred from Lagrangian Drifter Data
Using the NCOM-4DVAR*. Monthly Weather Review, 142(4), 1509–1524. doi:10.1175/mwr-d-13-00236.1
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1175/mwr-d-13-00236.1 title: DOI
doi:10.1175/mwr-d-13-00236.1
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Coelho, E. F., Hogan, P., Jacobs, G., Thoppil, P., Huntley, H. S., Haus, B. K., … Wei, M. (2015).
Ocean current estimation using a Multi-Model Ensemble Kalman Filter during the Grand Lagrangian
Deployment experiment (GLAD). Ocean Modelling, 87, 86–106. doi:10.1016/j.ocemod.2014.11.001
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1016/j.ocemod.2014.11.001 title: DOI
doi:10.1016/j.ocemod.2014.11.001
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Jacobs, G. A., Bartels, B. P., Bogucki, D. J., Beron-Vera, F. J., Chen, S. S., Coelho, E. F., … Wei,
M. (2014). Data assimilation considerations for improved ocean predictability during the Gulf of
Mexico Grand Lagrangian Deployment (GLAD). Ocean Modelling, 83, 98–117.
doi:10.1016/j.ocemod.2014.09.003
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1016/j.ocemod.2014.09.003 title: DOI
doi:10.1016/j.ocemod.2014.09.003
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Muscarella, P., Carrier, M. J., Ngodock, H., Smith, S., Lipphardt, B. L., Kirwan, A. D., & Huntley, H.
S. (2015). Do Assimilated Drifter Velocities Improve Lagrangian Predictability in an Operational
Ocean Model? Monthly Weather Review, 143(5), 1822–1832. doi:10.1175/mwr-d-14-00164.1
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1175/mwr-d-14-00164.1 title: DOI
doi:10.1175/mwr-d-14-00164.1
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Olascoaga, M. J., Beron-Vera, F. J., Haller, G., Triñanes, J., Iskandarani, M., Coelho, E. F., …
Valle-Levinson, A. (2013). Drifter motion in the Gulf of Mexico constrained by altimetric Lagrangian
coherent structures. Geophysical Research Letters, 40(23), 6171–6175. doi:10.1002/2013gl058624
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1002/2013gl058624 title: DOI
doi:10.1002/2013gl058624
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Poje, A. C., Ozgokmen, T. M., Lipphardt, B. L., Haus, B. K., Ryan, E. H., Haza, A. C., … Mariano, A.
J. (2014). Submesoscale dispersion in the vicinity of the Deepwater Horizon spill. Proceedings of
the National Academy of Sciences, 111(35), 12693–12698. doi:10.1073/pnas.1402452111
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1073/pnas.1402452111 title: DOI
doi:10.1073/pnas.1402452111
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Yaremchuk, M., & Coelho, E. F. (2015). Filtering Drifter Trajectories Sampled at Submesoscale
Resolution. IEEE J. Oceanic Eng., 40(3), 497–505. doi:10.1109/joe.2014.2353472
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1109/joe.2014.2353472 title: DOI
doi:10.1109/joe.2014.2353472
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
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
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1002/2015gl067619 title: DOI
doi:10.1002/2015gl067619
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Mariano, A. J., Ryan, E. H., Huntley, H. S., Laurindo, L. C., Coelho, E., Griffa, A., … Wei, M.
(2016). Statistical properties of the surface velocity field in the northern Gulf of Mexico sampled
by GLAD drifters. Journal of Geophysical Research: Oceans, 121(7), 5193–5216. doi:10.1002/2015jc011569
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1002/2015jc011569 title: DOI
doi:10.1002/2015jc011569
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Beron-Vera, F. J., & LaCasce, J. H. (2016). Statistics of Simulated and Observed Pair Separations in
the Gulf of Mexico. Journal of Physical Oceanography, 46(7), 2183–2199. doi:10.1175/jpo-d-15-0127.1
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1175/jpo-d-15-0127.1 title: DOI
doi:10.1175/jpo-d-15-0127.1
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Berta, M., Griffa, A., Özgökmen, T. M., & Poje, A. C. (2016). Submesoscale evolution of surface
drifter triads in the Gulf of Mexico. Geophysical Research Letters, 43(22), 11,751–11,759.
doi:10.1002/2016gl070357
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1002/2016gl070357 title: DOI
doi:10.1002/2016gl070357
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Miron, P., Beron-Vera, F. J., Olascoaga, M. J., Sheinbaum, J., Pérez-Brunius, P., & Froyland, G.
(2017). Lagrangian dynamical geography of the Gulf of Mexico. Scientific Reports, 7(1).
doi:10.1038/s41598-017-07177-w
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1038/s41598-017-07177-w title: DOI
doi:10.1038/s41598-017-07177-w
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Duran, R., Beron-Vera, F. J., & Olascoaga, M. J. (2018). Extracting quasi-steady Lagrangian transport
patterns from the ocean circulation: An application to the Gulf of Mexico. Scientific Reports, 8(1).
doi:10.1038/s41598-018-23121-y
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1038/s41598-018-23121-y title: DOI
doi:10.1038/s41598-018-23121-y
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Olascoaga, M. J., Miron, P., Paris, C., Pérez-Brunius, P., Pérez-Portela, R., Smith, R. H., & Vaz, A.
(2018). Connectivity of Pulley Ridge with remote locations as inferred from satellite-tracked
drifter trajectories. Journal of Geophysical Research: Oceans. doi:10.1029/2018jc014057
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1029/2018jc014057 title: DOI
doi:10.1029/2018jc014057
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Gough, M. K., Beron-Vera, F. J., Olascoaga, M. J., Sheinbaum, J., Jouanno, J., & Duran, R. (2019).
Persistent Lagrangian Transport Patterns in the Northwestern Gulf of Mexico. Journal of Physical
Oceanography, 49(2), 353–367. doi:10.1175/jpo-d-17-0207.1
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1175/jpo-d-17-0207.1 title: DOI
doi:10.1175/jpo-d-17-0207.1
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Poje, A. C., Özgökmen, T. M., Bogucki, D. J., & Kirwan, A. D. (2017). Evidence of a forward energy
cascade and Kolmogorov self-similarity in submesoscale ocean surface drifter observations. Physics
of Fluids, 29(2), 020701. doi:10.1063/1.4974331
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1063/1.4974331 title: DOI
doi:10.1063/1.4974331
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Novelli, G., Guigand, C. M., Boufadel, M. C., & Özgökmen, T. M. (2020). On the transport and landfall
of marine oil spills, laboratory and field observations. Marine Pollution Bulletin, 150, 110805.
doi:10.1016/j.marpolbul.2019.110805
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1016/j.marpolbul.2019.110805 title: DOI
doi:10.1016/j.marpolbul.2019.110805
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Berta, M., Griffa, A., Haza, A. C., Horstmann, J., Huntley, H. S., Ibrahim, R., … Poje, A. C. (2020).
Submesoscale Kinematic Properties in Summer and Winter Surface Flows in the Northern Gulf of Mexico.
Journal of Geophysical Research: Oceans, 125(10). doi:10.1029/2020jc016085
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1029/2020JC016085 title: DOI
doi:10.1029/2020JC016085
Association Type:
Association type code:
crossReference
Aggregation Info:
AggregateInformation:
Aggregate Data Set Name: title: Related Publication Citation
Citation:
Title:
Carrier, M. J., Ngodock, H. E., Muscarella, P., & Smith, S. (2016). Impact of Assimilating Surface
Velocity Observations on the Model Sea Surface Height Using the NCOM-4DVAR*. Monthly Weather Review,
144(3), 1051–1068. doi:10.1175/mwr-d-14-00285.1
Date:
inapplicable
Aggregate Data Set Identifier: title: Related Publication DOI
Identifier:
Code:
Anchor: xlink: https://dx.doi.org/10.1175/MWR-D-14-00285.1 title: DOI
doi:10.1175/MWR-D-14-00285.1
Association Type:
Association type code:
crossReference
Language:
eng; USA
Topic category:
Topic category code:
oceans
Topic category:
Topic category code:
environment
Extent:
Extent:
Geographic element:
Geographic bounding box:
West bound longitude:
-95.0623
East bound longitude:
-82.2385
South bound latitude:
22.0661
North bound latitude:
30.1222
Geographic element:
BoundingPolygon:
Polygon:
Polygon:
Outer boundary:
Linear ring:
gml:posList:
29.893 -85.9657 29.9802 -86.211 29.9811 -86.214 29.988 -86.238 29.9888 -86.2412 29.9895 -86.2446
29.9901 -86.248 30.0442 -86.5737 30.0445 -86.5757 30.0446 -86.5777 30.0124 -86.8027 29.9778
-86.9086 29.949 -87.0227 29.9398 -87.0778 29.8977 -87.1224 29.7845 -87.2724 29.8186 -87.4057
29.8857 -87.587 29.8769 -87.7232 29.9944 -88.0854 30.1061 -88.3134 30.1188 -88.3918 30.1191
-88.3996 30.1222 -88.6809 30.1221 -88.6853 30.1219 -88.6896 30.1215 -88.6939 30.1209 -88.6982
30.1201 -88.7025 30.082 -88.8929 30.0809 -88.8977 29.4307 -89.1912 29.1562 -88.9239 28.8062
-89.5071 29.2138 -89.4826 29.2779 -89.6297 29.3067 -89.7335 29.0533 -89.9745 29.0405 -90.4257
28.8718 -90.0254 28.8573 -90.1567 28.8355 -90.3198 28.7828 -90.6188 28.9932 -91.683 29.0319
-91.9043 29.0031 -92.4007 29.0107 -92.4068 28.8253 -93.0031 28.8232 -93.0089 28.8229 -93.0096
28.7327 -92.8876 28.4882 -92.3337 28.4406 -92.2517 28.6208 -91.8589 28.529 -91.4765 28.3457
-90.6248 28.0988 -90.7115 27.8789 -90.8575 27.7384 -90.9297 27.5131 -90.6822 26.3114 -90.0651
25.5552 -89.9307 25.637 -90.4872 27.0373 -91.9733 27.1032 -92.3767 27.607 -93.1318 27.671
-93.2614 27.6259 -93.3405 27.4744 -93.4312 26.8396 -94.2341 27.1492 -94.7161 28.141 -94.3653
28.259 -94.3739 28.2589 -94.374 28.2574 -94.3763 28.2571 -94.3768 28.2568 -94.3772 28.2528
-94.3823 28.1159 -94.5406 28.114 -94.5425 28.1119 -94.5444 27.5946 -95.009 27.5929 -95.0106
27.5911 -95.012 27.5893 -95.0134 27.5875 -95.0147 27.5857 -95.016 27.5838 -95.0172 27.582
-95.0184 27.5802 -95.0195 27.5783 -95.0207 27.5765 -95.0218 27.5747 -95.0228 27.5728 -95.0237
27.5709 -95.0245 27.569 -95.0253 27.5671 -95.0261 27.5652 -95.0267 27.5633 -95.0274 27.5615
-95.028 27.5596 -95.0285 27.449 -95.0615 27.4473 -95.0619 27.4455 -95.0622 27.4436 -95.0623
27.4417 -95.0622 27.4309 -95.0618 27.4288 -95.0617 27.4269 -95.0614 26.4844 -94.9082 26.7823
-93.8049 26.7198 -93.5743 26.803 -93.2482 26.9515 -92.7127 25.7265 -92.2834 25.3014 -92.0196
25.0105 -91.5155 24.6813 -91.1343 24.3321 -91.018 23.893 -90.642 24.067 -91.2695 23.6935
-91.3043 23.3593 -92.3688 23.345 -92.3928 23.3401 -92.3004 23.3509 -91.9987 23.4249 -91.7815
23.6368 -91.2499 23.4233 -91.2996 23.3587 -91.301 23.2515 -91.3248 23.0542 -91.479 22.6383
-91.7645 22.7848 -91.5921 23.3346 -91.1739 23.2907 -90.7833 23.2695 -90.5472 23.3383 -90.3521
23.4307 -89.8188 23.1403 -89.5814 22.6692 -88.6995 22.5824 -87.7878 22.1675 -87.0777 22.0754
-86.7571 22.0661 -86.6663 22.0672 -86.6626 22.0684 -86.6591 22.0696 -86.6558 22.1275 -86.5021
22.1283 -86.5001 22.2871 -86.3396 22.4639 -86.1741 22.6507 -85.8275 23.2543 -84.8049 23.4115
-84.6372 24.0332 -84.1116 24.5299 -83.4966 24.2857 -82.8662 24.2288 -82.4289 24.2315 -82.2385
24.4316 -83.1649 24.6959 -83.2792 25.2287 -83.9684 26.0197 -85.1509 26.2678 -84.9802 26.4406
-85.036 26.7152 -85.1428 26.7707 -84.8704 26.8126 -84.8145 27.0031 -84.5725 27.0425 -84.4541
26.7961 -84.4616 26.7886 -84.4 26.8963 -84.0853 26.9578 -83.9541 27.2019 -83.9043 27.3727
-83.9149 27.6121 -83.94 27.8806 -83.9829 28.1455 -83.9299 28.5458 -84.1643 28.7557 -84.2419
28.8762 -84.2232 28.8769 -84.2237 29.131 -84.4609 29.179 -84.5163 29.1795 -84.517 29.1897
-84.5549 28.9535 -84.7369 28.9992 -84.7559 29.0068 -84.7628 29.0333 -84.8041 29.0177 -84.9858
29.0773 -84.9474 29.1177 -84.9877 29.1185 -85.0127 29.0882 -85.0534 29.0552 -85.052 28.9537
-84.9913 28.9198 -85.0042 29.1768 -85.281 29.274 -85.4083 29.3012 -85.3878 29.3744 -85.3659
29.4413 -85.3802 29.4629 -85.331 29.4704 -85.3061 29.5524 -85.3312 29.578 -85.3415 29.5935
-85.3633 29.6477 -85.4079 29.6585 -85.4185 29.6588 -85.4191 29.884 -85.9419 29.8848 -85.9437
29.8855 -85.9455 29.8862 -85.9473 29.8924 -85.9638 29.893 -85.9657
Temporal element:
Temporal extent:
Extent:
Time period:
Description:
ground condition
Begin date:
2012-07-20
End date:
2012-10-22
Supplemental Information:
Column 1: drifter ID string (like CARTHE_XXX, XXX=3 digit integer) Column 2: date (yyyy-mm-dd) Column 3: time
(HH:MM:SS.SS) Column 4: latitude (decimal degrees) Column 5: longitude (decimal degrees) Column 6: estimated
position error (meters) Column 7: u (east-west) velocity (m/sec) Column 8: v (north-south) velocity (m/sec)
Column 9: estimated velocity error (m/sec) |GLAD CODE drifter positions were reported in real-time roughly
every five minutes via the Globalstar satellite network. Positions reported by the SPOT handheld GPS units
inside each drifter were nominally accurate to within seven meters. Occasionally, position errors much
larger than this nominal value are found. These may be due to errors in GPS baselines (due to poor satellite
reception), data dropout, and, in some cases, drifters that were picked up by small boats. Each drifter
record ends when the drifter was known to be picked up by a boat, when the signal was lost for more than 24
hours, or when the drifter traveled more than 80 km in a 12 hours period (implying a mean speed of 1.85
m/sec over 12 hours). For each record, positions that imply an instantaneous drifter speed greater than 3
m/sec were deleted. Also, positions that imply the drifter track rotated through more than 360 compass
degrees within three hours were deleted. Next, outliers were identified as positions that were more than 100
meters away from estimated positions at the same times interpolated from a set of both past and future
positions. These outliers were deleted. All valid positions were then interpolated to uniform, five-minute
time intervals using spline interpolation. These five-minute records were used to compute finite difference
estimates of u (east-west) and v (north-south) velocities. Finally, the five-minute position and velocity
records were filtered using a Butterworth fourth-order low-pass filter with a one hour period cutoff. These
low-pass filtered records were then interpolated to uniform 15-minute intervals beginning on whole hours.
Crude estimates of position error are also provided for each position in the final 15-minute interval
records. The error was set to 10 meters (a nominal value) for positions recorded at times for which there
were no gaps in the five-minute raw data records over the previous hour. The error was increased according
to the ratio of the average sample time interval for the previous 12 raw data positions to the nominal
sample interval of 5 minutes, multiplied by the 10 meter nominal error value. Velocity errors were computed
by dividing the sum of two consecutive position errors by the corresponding time interval.|CODE II drifter
body with SPOT Satellite GPS Messenger (orange).|Raw drifter positions were low-pass filtered (one hour
cutoff period) and interpolated to uniform 15 minute intervals starting on whole hours.||
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:
dat, txt
Version:
inapplicable
File decompression technique:
zip
Distributor transfer options:
Digital transfer options:
Transfer size:
44.0409
Online:
Online Resource:
Linkage:
URL:
https://data.gulfresearchinitiative.org/data/R1.x134.073:0004
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:
R1.x134.073:0004 on 2021-07-29T19:29:15-05:00
Return To Index