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contributor authorPodgorny, Igor
contributor authorLubin, Dan
contributor authorPerovich, Donald K.
date accessioned2019-09-19T10:03:16Z
date available2019-09-19T10:03:16Z
date copyright11/30/2017 12:00:00 AM
date issued2017
identifier otherjtech-d-17-0066.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261024
description abstractAbstractIn anticipation that unmanned aerial vehicles (UAVs) will have a useful role in atmospheric energy budget studies over sea ice, a Monte Carlo model is used to investigate three-dimensional radiative transfer over a highly inhomogeneous surface albedo involving open water, sea ice, and melt ponds. The model simulates the spatial variability in 550-nm downwelling irradiance and albedo that a UAV would measure above this surface and underneath an optically thick, horizontally homogeneous cloud. At flight altitudes higher than 100 m above the surface, an airborne radiometer will sample irradiances that are greatly smoothed horizontally as a result of photon multiple reflection. If one is interested in sampling the local energy budget contrasts between specific surface types, then the UAV must fly at a low altitude, typically within 20 m of the surface. Spatial upwelling irradiance variability in larger open water features, on the order of 1000 m wide, will remain apparent as high as 500 m above the surface. To fully investigate the impact of surface feature variability on the energy budget of the lower troposphere ice?ocean system, a UAV needs to fly at a variety of altitudes to determine how individual features contribute to the area-average albedo.
publisherAmerican Meteorological Society
titleMonte Carlo Study of UAV-Measurable Albedo over Arctic Sea Ice
typeJournal Paper
journal volume35
journal issue1
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-17-0066.1
journal fristpage57
journal lastpage66
treeJournal of Atmospheric and Oceanic Technology:;2017:;volume 035:;issue 001
contenttypeFulltext


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