Simulated annual and seasonal Arctic Ocean and sea-ice variability from a high resolution, coupled ice-ocean model
The role of the Arctic Ocean in global thermohaline circulation and climate change is not well understood. High resolution, physically realistic simulations of the Arctic Ocean, calibrated and validated with observations and paleo-climate data, may provide the spatial and temporal coverage and resol...
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ndltd-nps.edu-oai-calhoun.nps.edu-10945-97452014-11-27T16:08:33Z Simulated annual and seasonal Arctic Ocean and sea-ice variability from a high resolution, coupled ice-ocean model Marble, Douglas Craig. Maslowski, Wieslaw Semtner, Albert J. Naval Postgraduate School (U.S.) The role of the Arctic Ocean in global thermohaline circulation and climate change is not well understood. High resolution, physically realistic simulations of the Arctic Ocean, calibrated and validated with observations and paleo-climate data, may provide the spatial and temporal coverage and resolution to more accurately characterize Arctic Ocean circulation, large-scale inter-ocean exchanges and allow future conditions to be projected correctly. A 1/12-degree (~9 km) resolution coupled ice-ocean model, optimized for massively parallel computers, was developed. The model employs the latest digital bathymetry and ocean climatology available. Decades of model integration using climatological and realistic daily varying atmospheric forcing were performed. Comparisons of model output with climatic atlases and observations indicate greatly improved representation of circulation, ocean and seaice characteristics, mass and property transports and water mass transformations. Areas where model physics and resolution improvements are needed are highlighted as well. Comparison with a 1/6 degree (~18 km) ice-ocean model quantifies improvements gained from doubling model resolution. A ten fold increase in eddy kinetic energy is seen in the 9 km model versus the 18 km model. Narrow shelf and slope boundary currents, absent in the latter, now appear and mass and property transports are closer to observed values. 2012-08-22T15:29:57Z 2012-08-22T15:29:57Z 2001-09 Thesis http://hdl.handle.net/10945/9745 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, it may not be copyrighted. |
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The role of the Arctic Ocean in global thermohaline circulation and climate change is not well understood. High resolution, physically realistic simulations of the Arctic Ocean, calibrated and validated with observations and paleo-climate data, may provide the spatial and temporal coverage and resolution to more accurately characterize Arctic Ocean circulation, large-scale inter-ocean exchanges and allow future conditions to be projected correctly. A 1/12-degree (~9 km) resolution coupled ice-ocean model, optimized for massively parallel computers, was developed. The model employs the latest digital bathymetry and ocean climatology available. Decades of model integration using climatological and realistic daily varying atmospheric forcing were performed. Comparisons of model output with climatic atlases and observations indicate greatly improved representation of circulation, ocean and seaice characteristics, mass and property transports and water mass transformations. Areas where model physics and resolution improvements are needed are highlighted as well. Comparison with a 1/6 degree (~18 km) ice-ocean model quantifies improvements gained from doubling model resolution. A ten fold increase in eddy kinetic energy is seen in the 9 km model versus the 18 km model. Narrow shelf and slope boundary currents, absent in the latter, now appear and mass and property transports are closer to observed values. |
author2 |
Maslowski, Wieslaw |
author_facet |
Maslowski, Wieslaw Marble, Douglas Craig. |
author |
Marble, Douglas Craig. |
spellingShingle |
Marble, Douglas Craig. Simulated annual and seasonal Arctic Ocean and sea-ice variability from a high resolution, coupled ice-ocean model |
author_sort |
Marble, Douglas Craig. |
title |
Simulated annual and seasonal Arctic Ocean and sea-ice variability from a high resolution, coupled ice-ocean model |
title_short |
Simulated annual and seasonal Arctic Ocean and sea-ice variability from a high resolution, coupled ice-ocean model |
title_full |
Simulated annual and seasonal Arctic Ocean and sea-ice variability from a high resolution, coupled ice-ocean model |
title_fullStr |
Simulated annual and seasonal Arctic Ocean and sea-ice variability from a high resolution, coupled ice-ocean model |
title_full_unstemmed |
Simulated annual and seasonal Arctic Ocean and sea-ice variability from a high resolution, coupled ice-ocean model |
title_sort |
simulated annual and seasonal arctic ocean and sea-ice variability from a high resolution, coupled ice-ocean model |
publishDate |
2012 |
url |
http://hdl.handle.net/10945/9745 |
work_keys_str_mv |
AT marbledouglascraig simulatedannualandseasonalarcticoceanandseaicevariabilityfromahighresolutioncouplediceoceanmodel |
_version_ |
1716721420400066560 |