Eddy Kinetic Energy and SST gradients global datasets and trends. Additionally, this dataset includes ocean basins and ocean processes masks.
This dataset includes the post-processed data used for the paper titled "Mesoscale kinetic energy response to changing oceans". The original data was obtained from AVISO+ SSH altimetry and NOAA optimal interpolated sea surface temperature (OISST): AVISO+ SSH: https://www.aviso.altimetry.fr...
Main Authors: | , , , , , |
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Format: | Dataset |
Language: | English |
Published: |
Zenodo
2021
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Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.3993823 https://zenodo.org/record/3993823 |
_version_ | 1821632188349677568 |
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author | Martínez-Moreno, Josué Hogg, Andrew McC. England, Matthew H. Constantinou, Navid C. Kiss, Andrew E. Morrison, Adele K. |
author_facet | Martínez-Moreno, Josué Hogg, Andrew McC. England, Matthew H. Constantinou, Navid C. Kiss, Andrew E. Morrison, Adele K. |
author_sort | Martínez-Moreno, Josué |
collection | DataCite |
description | This dataset includes the post-processed data used for the paper titled "Mesoscale kinetic energy response to changing oceans". The original data was obtained from AVISO+ SSH altimetry and NOAA optimal interpolated sea surface temperature (OISST): AVISO+ SSH: https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/global/gridded-sea-level-heights-and-derived-variables.html NOAA-OISST: https://www.ncdc.noaa.gov/oisst From satellite observations of sea surface height (SSH) and sea surface temperature (SST) over the satellite record (1993 - 2019), EKE and SST gradients are derived. Then the fields are then temporally smoothed using a running average of 12 months. Trends and the significance of each field are finally computed with linear regression and a modified Mann–Kendall test (https://github.com/josuemtzmo/xarrayMannKendall). Geographical regions consist of the following ocean basins: the Southern Ocean, the Indian Ocean, the Pacific Ocean, and the Atlantic ocean. These ocean basins were expert-defined to capture ocean processes at all scales (ocean_basins_and_dynamical_masks.nc). Dynamical regions (Fig. 5d): the Antarctic Circumpolar Current (ACC), the boundary currents and their extensions, the tropics, the subtropical ocean gyres, and the remaining regions (ocean_basins_and_dynamical_masks.nc). Further information and scripts to reproduce the result of the manuscript can be found at: https://github.com/josuemtzmo/EKE_SST_trends : Refer to https://github.com/josuemtzmo/xarrayMannKendall and https://github.com/josuemtzmo/EKE_SST_trends for more information and reproducibility of analysis. This dataset goes together with the paper titled "Mesoscale kinetic energy response to changing oceans" |
format | Dataset |
genre | Antarc* Antarctic Southern Ocean |
genre_facet | Antarc* Antarctic Southern Ocean |
geographic | Antarctic Indian Kendall Pacific Southern Ocean The Antarctic |
geographic_facet | Antarctic Indian Kendall Pacific Southern Ocean The Antarctic |
id | ftdatacite:10.5281/zenodo.3993823 |
institution | Open Polar |
language | English |
long_lat | ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
op_collection_id | ftdatacite |
op_doi | https://doi.org/10.5281/zenodo.3993823 https://doi.org/10.5281/zenodo.3993824 |
op_relation | https://dx.doi.org/10.5281/zenodo.3993824 |
op_rights | Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm | CC-BY |
publishDate | 2021 |
publisher | Zenodo |
record_format | openpolar |
spelling | ftdatacite:10.5281/zenodo.3993823 2025-01-16T19:11:05+00:00 Eddy Kinetic Energy and SST gradients global datasets and trends. Additionally, this dataset includes ocean basins and ocean processes masks. Martínez-Moreno, Josué Hogg, Andrew McC. England, Matthew H. Constantinou, Navid C. Kiss, Andrew E. Morrison, Adele K. 2021 https://dx.doi.org/10.5281/zenodo.3993823 https://zenodo.org/record/3993823 en eng Zenodo https://dx.doi.org/10.5281/zenodo.3993824 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Trends Sea Surface Temperature Kinetic Energy Eddy Kinetic Energy dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.3993823 https://doi.org/10.5281/zenodo.3993824 2021-11-05T12:55:41Z This dataset includes the post-processed data used for the paper titled "Mesoscale kinetic energy response to changing oceans". The original data was obtained from AVISO+ SSH altimetry and NOAA optimal interpolated sea surface temperature (OISST): AVISO+ SSH: https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/global/gridded-sea-level-heights-and-derived-variables.html NOAA-OISST: https://www.ncdc.noaa.gov/oisst From satellite observations of sea surface height (SSH) and sea surface temperature (SST) over the satellite record (1993 - 2019), EKE and SST gradients are derived. Then the fields are then temporally smoothed using a running average of 12 months. Trends and the significance of each field are finally computed with linear regression and a modified Mann–Kendall test (https://github.com/josuemtzmo/xarrayMannKendall). Geographical regions consist of the following ocean basins: the Southern Ocean, the Indian Ocean, the Pacific Ocean, and the Atlantic ocean. These ocean basins were expert-defined to capture ocean processes at all scales (ocean_basins_and_dynamical_masks.nc). Dynamical regions (Fig. 5d): the Antarctic Circumpolar Current (ACC), the boundary currents and their extensions, the tropics, the subtropical ocean gyres, and the remaining regions (ocean_basins_and_dynamical_masks.nc). Further information and scripts to reproduce the result of the manuscript can be found at: https://github.com/josuemtzmo/EKE_SST_trends : Refer to https://github.com/josuemtzmo/xarrayMannKendall and https://github.com/josuemtzmo/EKE_SST_trends for more information and reproducibility of analysis. This dataset goes together with the paper titled "Mesoscale kinetic energy response to changing oceans" Dataset Antarc* Antarctic Southern Ocean DataCite Antarctic Indian Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) Pacific Southern Ocean The Antarctic |
spellingShingle | Trends Sea Surface Temperature Kinetic Energy Eddy Kinetic Energy Martínez-Moreno, Josué Hogg, Andrew McC. England, Matthew H. Constantinou, Navid C. Kiss, Andrew E. Morrison, Adele K. Eddy Kinetic Energy and SST gradients global datasets and trends. Additionally, this dataset includes ocean basins and ocean processes masks. |
title | Eddy Kinetic Energy and SST gradients global datasets and trends. Additionally, this dataset includes ocean basins and ocean processes masks. |
title_full | Eddy Kinetic Energy and SST gradients global datasets and trends. Additionally, this dataset includes ocean basins and ocean processes masks. |
title_fullStr | Eddy Kinetic Energy and SST gradients global datasets and trends. Additionally, this dataset includes ocean basins and ocean processes masks. |
title_full_unstemmed | Eddy Kinetic Energy and SST gradients global datasets and trends. Additionally, this dataset includes ocean basins and ocean processes masks. |
title_short | Eddy Kinetic Energy and SST gradients global datasets and trends. Additionally, this dataset includes ocean basins and ocean processes masks. |
title_sort | eddy kinetic energy and sst gradients global datasets and trends. additionally, this dataset includes ocean basins and ocean processes masks. |
topic | Trends Sea Surface Temperature Kinetic Energy Eddy Kinetic Energy |
topic_facet | Trends Sea Surface Temperature Kinetic Energy Eddy Kinetic Energy |
url | https://dx.doi.org/10.5281/zenodo.3993823 https://zenodo.org/record/3993823 |