Tide Model Driver (TMD) version 2.5, Toolbox for MATLAB (MATrix LABoratory)

Data available for download at https://arcticdata.io/data/10.18739/A24Q7QR39/ TMD 2.5 (“Tide Model Driver, version 2.5”) is a MATLAB (MATrix LABoratory) toolbox for accessing the coefficients for tidal harmonic constituents in barotropic tide models created by Oregon State University and Earth and S...

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Bibliographic Details
Main Authors: Laurie Padman, Svetlana Erofeeva, Susan L. Howard
Format: Dataset
Language:unknown
Published: Arctic Data Center 2022
Subjects:
Online Access:https://doi.org/10.18739/A24Q7QR39
id dataone:doi:10.18739/A24Q7QR39
record_format openpolar
spelling dataone:doi:10.18739/A24Q7QR39 2024-06-03T18:46:40+00:00 Tide Model Driver (TMD) version 2.5, Toolbox for MATLAB (MATrix LABoratory) Laurie Padman Svetlana Erofeeva Susan L. Howard global coverage ENVELOPE(-180.0,180.0,90.0,-90.0) BEGINDATE: 2022-01-01T00:00:00Z ENDDATE: 2022-01-01T00:00:00Z 2022-01-01T00:00:00Z https://doi.org/10.18739/A24Q7QR39 unknown Arctic Data Center Arctic tides tide prediction software Dataset 2022 dataone:urn:node:ARCTIC https://doi.org/10.18739/A24Q7QR39 2024-06-03T18:18:00Z Data available for download at https://arcticdata.io/data/10.18739/A24Q7QR39/ TMD 2.5 (“Tide Model Driver, version 2.5”) is a MATLAB (MATrix LABoratory) toolbox for accessing the coefficients for tidal harmonic constituents in barotropic tide models created by Oregon State University and Earth and Space Research, and for making predictions of tide height and currents. TMD 2.5 includes two components: (1) a set of scripts for accessing tidal fields and making predictions; and (2) a graphical user interface (GUI) for quickly browsing tide fields, zooming in on regions of interest, and selecting points and time ranges for predictions of specific variables. The toolbox is provided with a detailed User Manual with several examples of how to use its different functions. Dataset Arctic Arctic Data Center (via DataONE) Arctic
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language unknown
topic Arctic tides
tide prediction software
spellingShingle Arctic tides
tide prediction software
Laurie Padman
Svetlana Erofeeva
Susan L. Howard
Tide Model Driver (TMD) version 2.5, Toolbox for MATLAB (MATrix LABoratory)
topic_facet Arctic tides
tide prediction software
description Data available for download at https://arcticdata.io/data/10.18739/A24Q7QR39/ TMD 2.5 (“Tide Model Driver, version 2.5”) is a MATLAB (MATrix LABoratory) toolbox for accessing the coefficients for tidal harmonic constituents in barotropic tide models created by Oregon State University and Earth and Space Research, and for making predictions of tide height and currents. TMD 2.5 includes two components: (1) a set of scripts for accessing tidal fields and making predictions; and (2) a graphical user interface (GUI) for quickly browsing tide fields, zooming in on regions of interest, and selecting points and time ranges for predictions of specific variables. The toolbox is provided with a detailed User Manual with several examples of how to use its different functions.
format Dataset
author Laurie Padman
Svetlana Erofeeva
Susan L. Howard
author_facet Laurie Padman
Svetlana Erofeeva
Susan L. Howard
author_sort Laurie Padman
title Tide Model Driver (TMD) version 2.5, Toolbox for MATLAB (MATrix LABoratory)
title_short Tide Model Driver (TMD) version 2.5, Toolbox for MATLAB (MATrix LABoratory)
title_full Tide Model Driver (TMD) version 2.5, Toolbox for MATLAB (MATrix LABoratory)
title_fullStr Tide Model Driver (TMD) version 2.5, Toolbox for MATLAB (MATrix LABoratory)
title_full_unstemmed Tide Model Driver (TMD) version 2.5, Toolbox for MATLAB (MATrix LABoratory)
title_sort tide model driver (tmd) version 2.5, toolbox for matlab (matrix laboratory)
publisher Arctic Data Center
publishDate 2022
url https://doi.org/10.18739/A24Q7QR39
op_coverage global coverage
ENVELOPE(-180.0,180.0,90.0,-90.0)
BEGINDATE: 2022-01-01T00:00:00Z ENDDATE: 2022-01-01T00:00:00Z
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_doi https://doi.org/10.18739/A24Q7QR39
_version_ 1800869463476666368