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...

Full description

Bibliographic Details
Main Authors: Martínez-Moreno, Josué, Hogg, Andrew McC., England, Matthew H., Constantinou, Navid C., Kiss, Andrew E., Morrison, Adele K.
Format: Dataset
Language:English
Published: Zenodo 2021
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.3993823
https://zenodo.org/record/3993823
_version_ 1821632188349677568
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