Component reflectance scheme for DMSP-derived sea ice reflectances in the Arctic Basin

Morassutti, M. P.

doi:10.1080/01431169208904143

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…It has been hypothesized that an increase in surface melt of sea ice will lead to greater melt‐pond coverage, decreasing the area‐averaged albedo, which will in turn lead to more absorption of radiation and further melting. Melt ponds therefore enhance the albedo feedback mechanism [ Morassutti , 1992; Perovich and Tucker , 1997]. The albedo of the ice cover is parameterized in the sea‐ice component of General Circulation Models (GCMs) such as the latest Los Alamos CICE model version 3.1 (http://climate.lanl.gov/Models/CICE/) in a manner that does not explicitly treat melt ponds.…”

Section: Introductionmentioning

confidence: 99%

Modeling the summertime evolution of sea‐ice melt ponds

et al. 2006

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[1] We present a mathematical model describing the summer melting of sea ice. We simulate the evolution of melt ponds and determine area coverage and total surface ablation. The model predictions are tested for sensitivity to the melt rate of unponded ice, enhanced melt rate beneath the melt ponds, vertical seepage, and horizontal permeability. The model is initialized with surface topographies derived from laser altimetry corresponding to first-year sea ice and multiyear sea ice. We predict that there are large differences in the depth of melt ponds and the area of coverage between the two types of ice. We also find that the vertical seepage rate and the melt rate of unponded ice are important in determining the total surface ablation and area covered by melt ponds.

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Section: Introductionmentioning

confidence: 99%

Modeling the summertime evolution of sea‐ice melt ponds

et al. 2006

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“…The lakes appear as ‘dark’ spots of low albedo on the ice sheet of much higher albedo. On Arctic sea ice Perovich and others (2002) found that the presence of melt ponds can lower the overall summertime sea-ice albedo from 0.65 to 0.4, and suggested that increased surface melting of sea ice will lead to greater melt-pond coverage, thus decreasing the area average albedo, and further enhance melting (Morassutti, 1992; Perovich and Tucker, 1997).…”

Section: Introductionmentioning

confidence: 99%

Modelling the evolution of supraglacial lakes on the West Greenland ice-sheet margin

Lüthje¹,

Pedersen²,

Reeh³

et al. 2006

J. Glaciol.

103

116

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We present a model study investigating the summer evolution of supraglacial lakes on the Greenland ice margin. Using a one-dimensional (1-D) model we calculate the surface ablation for a bare ice surface and beneath supraglacial lakes for 30 days in the summers of 1999 and 2001. The surface ablation beneath the lake was enhanced by 110% in 1999 and 170% in 2001 compared with the ablation for bare ice. We then use the results from the 1-D model to further model the vertical and horizontal evolution of the supraglacial lakes, the results of which are compared with satellite images. Within the region of the ice sheet where supraglacial lakes presently occur, the area covered by supraglacial lakes is found to be more or less independent of the summer melt rate but controlled by topography. We therefore predict that, inside this region, the area covered by supraglacial lakes will remain constant even in a warmer climate. However, in a warmer climate, surface melting will occur higher on the ice sheet where small surface slopes favour formation of large supraglacial lakes. Enhanced surface melting beneath such lakes is a hitherto overlooked feedback mechanism related to climate warming.

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Albedo and Depth of Melt Ponds on Sea-Ice

Morassutti

LeDrew

1996

Int. J. Climatol.

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For a 1‐month period during the spring–summer season, over 500 in situ measurements of the albedo, depth and selected properties of melt ponds were made at four sea‐ice sites in the Canadian Arctic Archipelago. There are three aims of the investigation: to examine the variation in spectral reflectance of melt ponds in relation primarily to clouds, pond depth, and ice type; to compute and assess with reliability, and for the first time, the statistical properties of pond depth; and to derive pond albedo parameterizations for implementation in sea‐ice model simulations. It was found that pond reflectance curves vary significantly with cloud cover, pond depth, and ice type. A simple univariate statistical analysis showed that surface ice morphology controls pond depth. Application of the Kruskal–Wallis test evidenced that differences between first‐year ice, multi‐year ice, and landfast ice‐pond‐depth distributions are statistically significant. Lastly, calibrated non‐linear regression functions show that visible and near‐infrared pond albedos decrease exponentially with depth until some critical depth value is exceeded. The relationship is weakest in the visible spectrum, particularly under cloudy sky conditions.

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Component reflectance scheme for DMSP-derived sea ice reflectances in the Arctic Basin

Cited by 4 publications

References 29 publications

Modeling the summertime evolution of sea‐ice melt ponds

Modeling the summertime evolution of sea‐ice melt ponds

Modelling the evolution of supraglacial lakes on the West Greenland ice-sheet margin

Albedo and Depth of Melt Ponds on Sea-Ice

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