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contributor authorAndreas, Edgar L
contributor authorJordan, Rachel E.
date accessioned2017-06-09T17:11:41Z
date available2017-06-09T17:11:41Z
date copyright2015/08/01
date issued2015
identifier issn0894-8755
identifier otherams-80899.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4223841
description abstractumerical models of the atmosphere, oceans, and sea ice are divided into horizontal grid cells that can range in size from a few kilometers to hundreds of kilometers. In these models, many surface-level variables are assumed to be uniform over a grid cell. Using a year of in situ data from the experiment to study the Surface Heat Budget of the Arctic Ocean (SHEBA), the authors investigate the accuracy of this assumption of gridcell uniformity for the surface-level variables pressure, air temperature, wind speed, humidity, and incoming longwave radiation. The paper bases its analysis on three statistics: the monthly average and, for each season, the spatial correlation function and the spatial bias. For five SHEBA sites, which had a maximum separation of 12 km, the analysis supports the assumption of gridcell uniformity in pressure, air temperature, wind speed, and humidity in all seasons. In winter, when the incidence of fractional cloudiness is largest, the incoming longwave radiation may not be uniform over a grid cell. In other seasons, the bimodal distribution in cloud cover?either clear skies or total cloud cover?tends to homogenize the incoming radiation at scales of 12 km and less.
publisherAmerican Meteorological Society
titleSpatial Variability of Surface-Level State Variables over Arctic Sea Ice
typeJournal Paper
journal volume28
journal issue16
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-14-00768.1
journal fristpage6360
journal lastpage6380
treeJournal of Climate:;2015:;volume( 028 ):;issue: 016
contenttypeFulltext


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