Data

2019-20 Honours project - Understanding the changing nature of marine cold spells

University of Tasmania, Australia
Wang, Yuxin ; Holbrook, Neil ; Kajtar, Jules
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/d4a3cdf3-b7e2-438d-8228-1a041a1e4362&rft.title=2019-20 Honours project - Understanding the changing nature of marine cold spells&rft.identifier=https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/d4a3cdf3-b7e2-438d-8228-1a041a1e4362&rft.description=This record describes the following: 1) Code for detecting surface temperature mean and variance linear trend from 1982 to 2016. 2) Metrics (mean intensity, duration, and frequency) linear trend of marine cold spells from 1982-2016. This data can be used to plot a global data map of marine cold spell metrics linear trend.Maintenance and Update Frequency: notPlannedStatement: For SST: NOAA OI Daily SST data (1/4 degree data) was used to calculate the SST mean & variance linear trend from 1982 to 2016. For Marine Cold Spells: NOAA OI Daily SST data was used. This dataset was used in combination with the marineheatwave function in Python to detect marine cold spells.&rft.creator=Wang, Yuxin &rft.creator=Holbrook, Neil &rft.creator=Kajtar, Jules &rft.date=2020&rft.coverage=westlimit=-180; southlimit=-90; eastlimit=180; northlimit=90&rft.coverage=westlimit=-180; southlimit=-90; eastlimit=180; northlimit=90&rft.coverage=uplimit=100; downlimit=0&rft.coverage=uplimit=100; downlimit=0&rft_rights=The data described in this record are the intellectual property of the University of Tasmania through the Institute for Marine and Antarctic Studies.&rft_rights= http://creativecommons.org/licenses/by/4.0/&rft_rights=http://i.creativecommons.org/l/by/4.0/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 4.0 International License&rft_rights=http://creativecommons.org/international/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=The citation in a list of references is: citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link).&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=oceans&rft_subject=EARTH SCIENCE | OCEANS | OCEAN TEMPERATURE | WATER TEMPERATURE&rft_subject=Physical Oceanography&rft_subject=EARTH SCIENCES&rft_subject=OCEANOGRAPHY&rft_subject=Marine cold spell mean intensity linear trend from 1982-2016 in global scale&rft_subject=Marine cold spell mean duration linear trend from 1982-2016 in global scale&rft_subject=Marine cold spell mean frequency frequency linear trend from 1982-2016 in global scale&rft.type=dataset&rft.language=English Access the data
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http://creativecommons.org/licenses/by/4.0/

Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0

The data described in this record are the intellectual property of the University of Tasmania through the Institute for Marine and Antarctic Studies.

http://i.creativecommons.org/l/by/4.0/88x31.png

WWW:LINK-1.0-http--related

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Creative Commons Attribution 4.0 International License

http://creativecommons.org/international/

WWW:LINK-1.0-http--related

WWW:LINK-1.0-http--related

License Text

The citation in a list of references is: citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link).

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Brief description

This record describes the following: 1) Code for detecting surface temperature mean and variance linear trend from 1982 to 2016. 2) Metrics (mean intensity, duration, and frequency) linear trend of marine cold spells from 1982-2016. This data can be used to plot a global data map of marine cold spell metrics linear trend.

Lineage

Maintenance and Update Frequency: notPlanned
Statement: For SST: NOAA OI Daily SST data (1/4 degree data) was used to calculate the SST mean & variance linear trend from 1982 to 2016. For Marine Cold Spells: NOAA OI Daily SST data was used. This dataset was used in combination with the "marineheatwave" function in Python to detect marine cold spells.

Notes

Credit
IMAS Honours Student Program 2019-2020

Created: 2020-08-29

Data time period: 2019-07-15 to 2020-07-10

This dataset is part of a larger collection

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text: westlimit=-180; southlimit=-90; eastlimit=180; northlimit=90

text: uplimit=100; downlimit=0

Subjects
EARTH SCIENCE | OCEANS | OCEAN TEMPERATURE | WATER TEMPERATURE | Earth Sciences | Marine cold spell mean duration linear trend from 1982-2016 in global scale | Marine cold spell mean frequency frequency linear trend from 1982-2016 in global scale | Marine cold spell mean intensity linear trend from 1982-2016 in global scale | Oceanography | Physical Oceanography | oceans |

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Other Information
(DATA ACCESS - Sea Surface Temperature files [explore all files])

uri : https://data.imas.utas.edu.au/attachments/d4a3cdf3-b7e2-438d-8228-1a041a1e4362/SST

(DATA ACCESS - Marine Cold Spells files [explore all files])

uri : https://data.imas.utas.edu.au/attachments/d4a3cdf3-b7e2-438d-8228-1a041a1e4362/MCS

(THESIS - Understanding the changing nature of marine cold spells [PDF direct download])

uri : https://data.imas.utas.edu.au/attachments/d4a3cdf3-b7e2-438d-8228-1a041a1e4362/Final_thesis_Yuxin.pdf

Identifiers
  • global : d4a3cdf3-b7e2-438d-8228-1a041a1e4362
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