MITgcm: regional simulation of the 2017/18 Tasman Sea marine heatwave v1.0

A regional ocean model simulation of the 2017/18 Tasman Sea marine heatwave was conducted with the Massachusetts Institute of Technology general circulation model (MITgcm; Marshall et al., 1997). A single 1/100° resolution simulation was run for the period 1 January 2016 to 30 April 2018 (28 months)...

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Other Authors: Australian Research Council (isFundedBy), Dr Jules Kajtar (hasCollector), Kajtar, Jules B. (hasCollector)
Format: Dataset
Language:unknown
Published: CLEX
Subjects:
Online Access:https://researchdata.edu.au/mitgcm-regional-simulation-heatwave-v10/1916349
https://doi.org/10.25914/GGHK-TD61
id ftands:oai:ands.org.au::1916349
record_format openpolar
spelling ftands:oai:ands.org.au::1916349 2023-08-27T04:12:13+02:00 MITgcm: regional simulation of the 2017/18 Tasman Sea marine heatwave v1.0 Australian Research Council (isFundedBy) Dr Jules Kajtar (hasCollector) Kajtar, Jules B. (hasCollector) Spatial: northlimit=-26; southlimit=-46; westlimit=134.5; eastLimit=174.5; projection=WGS84 Spatial: Tasman Sea Temporal: From 2016-01-01 to 2018-04-30 https://researchdata.edu.au/mitgcm-regional-simulation-heatwave-v10/1916349 https://doi.org/10.25914/GGHK-TD61 unknown CLEX https://researchdata.edu.au/mitgcm-regional-simulation-heatwave-v10/1916349 doi:10.25914/GGHK-TD61 https://researchdata.edu.au/registry//orca/register_my_data Physical oceanography Oceanography EARTH SCIENCES ocean model regional model submesoscale dynamics dataset ftands https://doi.org/10.25914/GGHK-TD61 2023-08-07T23:21:12Z A regional ocean model simulation of the 2017/18 Tasman Sea marine heatwave was conducted with the Massachusetts Institute of Technology general circulation model (MITgcm; Marshall et al., 1997). A single 1/100° resolution simulation was run for the period 1 January 2016 to 30 April 2018 (28 months) for the region. The horizontal resolution of ~1 km is sufficient to resolve the submesoscale field. The vertical grid consisted of 100 layers of varying thickness, with 5 m layers for the top 100 m, and then gradually increasing to 100 m layers beyond 1000 m depth. The maximum depth was 5844 m. The initial state and boundary conditions were from the Copernicus Marine Environment Monitoring Service (CMEMS) Operational Mercator global ocean analysis and forecast system, which is provided at 1/12° resolution (GLOBAL_ANALYSIS_FORECAST_PHY_001_024). Atmospheric conditions throughout the simulation were from the European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric analysis. Other details of the simulation follow those given by Bachman et al. (2017). The key variables for the analysis (and provided here) are: temperature, salinity, and vertical velocity. Full heat budget terms were computed only for the periods 2016-11-01 to 2017-04-01 and 2017-11-01 to 2018-04-01. References Marshall, J., Adcroft, A., Hill, C., Perelman, L., Heisey, C., 1997. A finite-volume, incompressible Navier Stokes model for studies of the ocean on parallel computers. J. Geophys. Res. Ocean., 102, 5753–5766. doi:10.1029/96JC02775 Bachman, S.D., Taylor, J.R., Adams, K.A., Hosegood, P.J., 2017. Mesoscale and submesoscale effects on mixed layer depth in the Southern Ocean. J. Phys. Oceanogr., 47, 2173–2188. doi:10.1175/JPO-D-17-0034.1 Acknowledgements We thank the Australian Research Council Centre of Excellence for Climate Extremes (CE170100023) for ongoing support. The National Computational Infrastructure, which is supported by the Australian Government, was utilised for processing and analysing the data. Dataset Southern Ocean Research Data Australia (Australian National Data Service - ANDS) Southern Ocean ENVELOPE(134.5,174.5,-26,-46)
institution Open Polar
collection Research Data Australia (Australian National Data Service - ANDS)
op_collection_id ftands
language unknown
topic Physical oceanography
Oceanography
EARTH SCIENCES
ocean model
regional model
submesoscale dynamics
spellingShingle Physical oceanography
Oceanography
EARTH SCIENCES
ocean model
regional model
submesoscale dynamics
MITgcm: regional simulation of the 2017/18 Tasman Sea marine heatwave v1.0
topic_facet Physical oceanography
Oceanography
EARTH SCIENCES
ocean model
regional model
submesoscale dynamics
description A regional ocean model simulation of the 2017/18 Tasman Sea marine heatwave was conducted with the Massachusetts Institute of Technology general circulation model (MITgcm; Marshall et al., 1997). A single 1/100° resolution simulation was run for the period 1 January 2016 to 30 April 2018 (28 months) for the region. The horizontal resolution of ~1 km is sufficient to resolve the submesoscale field. The vertical grid consisted of 100 layers of varying thickness, with 5 m layers for the top 100 m, and then gradually increasing to 100 m layers beyond 1000 m depth. The maximum depth was 5844 m. The initial state and boundary conditions were from the Copernicus Marine Environment Monitoring Service (CMEMS) Operational Mercator global ocean analysis and forecast system, which is provided at 1/12° resolution (GLOBAL_ANALYSIS_FORECAST_PHY_001_024). Atmospheric conditions throughout the simulation were from the European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric analysis. Other details of the simulation follow those given by Bachman et al. (2017). The key variables for the analysis (and provided here) are: temperature, salinity, and vertical velocity. Full heat budget terms were computed only for the periods 2016-11-01 to 2017-04-01 and 2017-11-01 to 2018-04-01. References Marshall, J., Adcroft, A., Hill, C., Perelman, L., Heisey, C., 1997. A finite-volume, incompressible Navier Stokes model for studies of the ocean on parallel computers. J. Geophys. Res. Ocean., 102, 5753–5766. doi:10.1029/96JC02775 Bachman, S.D., Taylor, J.R., Adams, K.A., Hosegood, P.J., 2017. Mesoscale and submesoscale effects on mixed layer depth in the Southern Ocean. J. Phys. Oceanogr., 47, 2173–2188. doi:10.1175/JPO-D-17-0034.1 Acknowledgements We thank the Australian Research Council Centre of Excellence for Climate Extremes (CE170100023) for ongoing support. The National Computational Infrastructure, which is supported by the Australian Government, was utilised for processing and analysing the data.
author2 Australian Research Council (isFundedBy)
Dr Jules Kajtar (hasCollector)
Kajtar, Jules B. (hasCollector)
format Dataset
title MITgcm: regional simulation of the 2017/18 Tasman Sea marine heatwave v1.0
title_short MITgcm: regional simulation of the 2017/18 Tasman Sea marine heatwave v1.0
title_full MITgcm: regional simulation of the 2017/18 Tasman Sea marine heatwave v1.0
title_fullStr MITgcm: regional simulation of the 2017/18 Tasman Sea marine heatwave v1.0
title_full_unstemmed MITgcm: regional simulation of the 2017/18 Tasman Sea marine heatwave v1.0
title_sort mitgcm: regional simulation of the 2017/18 tasman sea marine heatwave v1.0
publisher CLEX
url https://researchdata.edu.au/mitgcm-regional-simulation-heatwave-v10/1916349
https://doi.org/10.25914/GGHK-TD61
op_coverage Spatial: northlimit=-26; southlimit=-46; westlimit=134.5; eastLimit=174.5; projection=WGS84
Spatial: Tasman Sea
Temporal: From 2016-01-01 to 2018-04-30
long_lat ENVELOPE(134.5,174.5,-26,-46)
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_source https://researchdata.edu.au/registry//orca/register_my_data
op_relation https://researchdata.edu.au/mitgcm-regional-simulation-heatwave-v10/1916349
doi:10.25914/GGHK-TD61
op_doi https://doi.org/10.25914/GGHK-TD61
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