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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Main Author: Krueger, Steven K.
Language:unknown
Published: 1998
Subjects:
Online Access:http://hdl.handle.net/2060/19980237907
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spelling 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
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