Low frequency variability in the Southern Ocean
Progress Code: completed Statement: Values provided in temporal coverage are approximate only. Metadata record for data expected ASAC Project 1207 See the link below for public details on this project. --- Public Summary from Project --- Project title: 'Effects of variability in ocean surface f...
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ftands:oai:ands.org.au::2820972 2023-12-03T10:10:03+01:00 Low frequency variability in the Southern Ocean Spatial: westlimit=-180; southlimit=-90.0; eastlimit=-180; northlimit=90.0 Temporal: From 2000-09-30 to 2001-03-31 https://researchdata.edu.au/low-frequency-variability-southern-ocean/2820972 unknown Australian Ocean Data Network https://researchdata.edu.au/low-frequency-variability-southern-ocean/2820972 ASAC_1207 AU/AADC > Australian Antarctic Data Centre, Australia oceans EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > EDDIES FRONTS OCEAN CURRENTS OCEAN CIRCULATION models modelling south indian ocean curvilinear North Pole Arctic AMD/AU CEOS AMD OCEAN > ARCTIC OCEAN INDIAN OCEAN SOUTHERN OCEAN GEOGRAPHIC REGION > GLOBAL OCEAN POLAR dataset ftands 2023-11-06T23:51:52Z Progress Code: completed Statement: Values provided in temporal coverage are approximate only. Metadata record for data expected ASAC Project 1207 See the link below for public details on this project. --- Public Summary from Project --- Project title: 'Effects of variability in ocean surface forcing on the properties of SAMW and AAIW in the South Indian Ocean' This project will study the formation and subduction processes and the properties of Antarctic Intermediate Water and Sub-Antarctic Mode Water as simulated by an Ocean General Circulation model, with particular reference to the South Indian Ocean. The study will attempt to determine how its formation and properties are affected by interannual variations in SST and wind forcing and by differing prescriptions of mixing and convection processes occurring in mid-to high latitude oceanic frontal regions of the Southern Ocean. The investigation of the ocean response in the Indian Ocean will profit from the use of a model employing general orthogonal coordinates and efficient variable resolution grids which are global but concentrated in the Indian sector. From the abstracts of the referenced papers: This article considers how some of the measures used to overcome numerical problems near the North Pole affect the ocean solution and computational time step limits. The distortion of the flow and tracer contours produced by a polar island is obviated by implementing a prognostic calculation for a composite polar grid cell, as has been done at NCAR. The severe limitation on time steps caused by small zonal grid spacing near the pole is usually overcome by Fourier filtering, sometimes supplemented by the downward tapering of mixing coefficients as the pole is approached; however, filtering can be expensive, and both measures adversely affect the solution. Fourier filtering produces noise, which manifests itself in such effects as spurious static instabilities and vertical motions; this noise can be due to the separate and different filtering of internal and ... Dataset Antarc* Antarctic Arctic Arctic Ocean North Pole Southern Ocean Research Data Australia (Australian National Data Service - ANDS) Arctic Antarctic Southern Ocean Arctic Ocean Indian North Pole |
institution |
Open Polar |
collection |
Research Data Australia (Australian National Data Service - ANDS) |
op_collection_id |
ftands |
language |
unknown |
topic |
oceans EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > EDDIES FRONTS OCEAN CURRENTS OCEAN CIRCULATION models modelling south indian ocean curvilinear North Pole Arctic AMD/AU CEOS AMD OCEAN > ARCTIC OCEAN INDIAN OCEAN SOUTHERN OCEAN GEOGRAPHIC REGION > GLOBAL OCEAN POLAR |
spellingShingle |
oceans EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > EDDIES FRONTS OCEAN CURRENTS OCEAN CIRCULATION models modelling south indian ocean curvilinear North Pole Arctic AMD/AU CEOS AMD OCEAN > ARCTIC OCEAN INDIAN OCEAN SOUTHERN OCEAN GEOGRAPHIC REGION > GLOBAL OCEAN POLAR Low frequency variability in the Southern Ocean |
topic_facet |
oceans EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > EDDIES FRONTS OCEAN CURRENTS OCEAN CIRCULATION models modelling south indian ocean curvilinear North Pole Arctic AMD/AU CEOS AMD OCEAN > ARCTIC OCEAN INDIAN OCEAN SOUTHERN OCEAN GEOGRAPHIC REGION > GLOBAL OCEAN POLAR |
description |
Progress Code: completed Statement: Values provided in temporal coverage are approximate only. Metadata record for data expected ASAC Project 1207 See the link below for public details on this project. --- Public Summary from Project --- Project title: 'Effects of variability in ocean surface forcing on the properties of SAMW and AAIW in the South Indian Ocean' This project will study the formation and subduction processes and the properties of Antarctic Intermediate Water and Sub-Antarctic Mode Water as simulated by an Ocean General Circulation model, with particular reference to the South Indian Ocean. The study will attempt to determine how its formation and properties are affected by interannual variations in SST and wind forcing and by differing prescriptions of mixing and convection processes occurring in mid-to high latitude oceanic frontal regions of the Southern Ocean. The investigation of the ocean response in the Indian Ocean will profit from the use of a model employing general orthogonal coordinates and efficient variable resolution grids which are global but concentrated in the Indian sector. From the abstracts of the referenced papers: This article considers how some of the measures used to overcome numerical problems near the North Pole affect the ocean solution and computational time step limits. The distortion of the flow and tracer contours produced by a polar island is obviated by implementing a prognostic calculation for a composite polar grid cell, as has been done at NCAR. The severe limitation on time steps caused by small zonal grid spacing near the pole is usually overcome by Fourier filtering, sometimes supplemented by the downward tapering of mixing coefficients as the pole is approached; however, filtering can be expensive, and both measures adversely affect the solution. Fourier filtering produces noise, which manifests itself in such effects as spurious static instabilities and vertical motions; this noise can be due to the separate and different filtering of internal and ... |
format |
Dataset |
title |
Low frequency variability in the Southern Ocean |
title_short |
Low frequency variability in the Southern Ocean |
title_full |
Low frequency variability in the Southern Ocean |
title_fullStr |
Low frequency variability in the Southern Ocean |
title_full_unstemmed |
Low frequency variability in the Southern Ocean |
title_sort |
low frequency variability in the southern ocean |
publisher |
Australian Ocean Data Network |
url |
https://researchdata.edu.au/low-frequency-variability-southern-ocean/2820972 |
op_coverage |
Spatial: westlimit=-180; southlimit=-90.0; eastlimit=-180; northlimit=90.0 Temporal: From 2000-09-30 to 2001-03-31 |
geographic |
Arctic Antarctic Southern Ocean Arctic Ocean Indian North Pole |
geographic_facet |
Arctic Antarctic Southern Ocean Arctic Ocean Indian North Pole |
genre |
Antarc* Antarctic Arctic Arctic Ocean North Pole Southern Ocean |
genre_facet |
Antarc* Antarctic Arctic Arctic Ocean North Pole Southern Ocean |
op_source |
AU/AADC > Australian Antarctic Data Centre, Australia |
op_relation |
https://researchdata.edu.au/low-frequency-variability-southern-ocean/2820972 ASAC_1207 |
_version_ |
1784269141838921728 |