Cloud-Scale Numerical Modeling of the Arctic Boundary Layer
The interactions between sea ice, open ocean, atmospheric radiation, and clouds over the Arctic Ocean exert a strong influence on global climate. Uncertainties in the formulation of interactive air-sea-ice processes in global climate models (GCMs) result in large differences between the Arctic, and...
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ftnasantrs:oai:casi.ntrs.nasa.gov:19980237907 2023-05-15T14:33:31+02:00 Cloud-Scale Numerical Modeling of the Arctic Boundary Layer Krueger, Steven K. Unclassified, Unlimited, Publicly available 1998 application/pdf http://hdl.handle.net/2060/19980237907 unknown Document ID: 19980237907 http://hdl.handle.net/2060/19980237907 No Copyright CASI Meteorology and Climatology 1998 ftnasantrs 2019-07-21T03:07:04Z The interactions between sea ice, open ocean, atmospheric radiation, and clouds over the Arctic Ocean exert a strong influence on global climate. Uncertainties in the formulation of interactive air-sea-ice processes in global climate models (GCMs) result in large differences between the Arctic, and global, climates simulated by different models. Arctic stratus clouds are not well-simulated by GCMs, yet exert a strong influence on the surface energy budget of the Arctic. Leads (channels of open water in sea ice) have significant impacts on the large-scale budgets during the Arctic winter, when they contribute about 50 percent of the surface fluxes over the Arctic Ocean, but cover only 1 to 2 percent of its area. Convective plumes generated by wide leads may penetrate the surface inversion and produce condensate that spreads up to 250 km downwind of the lead, and may significantly affect the longwave radiative fluxes at the surface and thereby the sea ice thickness. The effects of leads and boundary layer clouds must be accurately represented in climate models to allow possible feedbacks between them and the sea ice thickness. The FIRE III Arctic boundary layer clouds field program, in conjunction with the SHEBA ice camp and the ARM North Slope of Alaska and Adjacent Arctic Ocean site, will offer an unprecedented opportunity to greatly improve our ability to parameterize the important effects of leads and boundary layer clouds in GCMs. Other/Unknown Material Arctic Arctic Ocean north slope Sea ice Alaska NASA Technical Reports Server (NTRS) Arctic Arctic Ocean |
institution |
Open Polar |
collection |
NASA Technical Reports Server (NTRS) |
op_collection_id |
ftnasantrs |
language |
unknown |
topic |
Meteorology and Climatology |
spellingShingle |
Meteorology and Climatology Krueger, Steven K. Cloud-Scale Numerical Modeling of the Arctic Boundary Layer |
topic_facet |
Meteorology and Climatology |
description |
The interactions between sea ice, open ocean, atmospheric radiation, and clouds over the Arctic Ocean exert a strong influence on global climate. Uncertainties in the formulation of interactive air-sea-ice processes in global climate models (GCMs) result in large differences between the Arctic, and global, climates simulated by different models. Arctic stratus clouds are not well-simulated by GCMs, yet exert a strong influence on the surface energy budget of the Arctic. Leads (channels of open water in sea ice) have significant impacts on the large-scale budgets during the Arctic winter, when they contribute about 50 percent of the surface fluxes over the Arctic Ocean, but cover only 1 to 2 percent of its area. Convective plumes generated by wide leads may penetrate the surface inversion and produce condensate that spreads up to 250 km downwind of the lead, and may significantly affect the longwave radiative fluxes at the surface and thereby the sea ice thickness. The effects of leads and boundary layer clouds must be accurately represented in climate models to allow possible feedbacks between them and the sea ice thickness. The FIRE III Arctic boundary layer clouds field program, in conjunction with the SHEBA ice camp and the ARM North Slope of Alaska and Adjacent Arctic Ocean site, will offer an unprecedented opportunity to greatly improve our ability to parameterize the important effects of leads and boundary layer clouds in GCMs. |
author |
Krueger, Steven K. |
author_facet |
Krueger, Steven K. |
author_sort |
Krueger, Steven K. |
title |
Cloud-Scale Numerical Modeling of the Arctic Boundary Layer |
title_short |
Cloud-Scale Numerical Modeling of the Arctic Boundary Layer |
title_full |
Cloud-Scale Numerical Modeling of the Arctic Boundary Layer |
title_fullStr |
Cloud-Scale Numerical Modeling of the Arctic Boundary Layer |
title_full_unstemmed |
Cloud-Scale Numerical Modeling of the Arctic Boundary Layer |
title_sort |
cloud-scale numerical modeling of the arctic boundary layer |
publishDate |
1998 |
url |
http://hdl.handle.net/2060/19980237907 |
op_coverage |
Unclassified, Unlimited, Publicly available |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean north slope Sea ice Alaska |
genre_facet |
Arctic Arctic Ocean north slope Sea ice Alaska |
op_source |
CASI |
op_relation |
Document ID: 19980237907 http://hdl.handle.net/2060/19980237907 |
op_rights |
No Copyright |
_version_ |
1766306742718693376 |