scispace - formally typeset
Open AccessJournal Article

Winter snow cover on the sea ice of the Arctic Ocean at the Surface Heat Budget of the Arctic Ocean (SHEBA): Temporal evolution and spatial variability : The surface heat budget of arctic ocen (SHEBA)

Reads0
Chats0
TLDR
In this article, the evolution and spatial distribution of the snow cover on the sea ice of the Arctic Ocean was observed during the Surface Heat Budget of Arctic Ocean (SHEBA) project, and two basic types of snow were present: depth hoar and wind slab.
Abstract
[1] The evolution and spatial distribution of the snow cover on the sea ice of the Arctic Ocean was observed during the Surface Heat Budget of the Arctic Ocean (SHEBA) project. The snow cover built up in October and November, reached near maximum depth by mid-December, then remained relatively unchanged until snowmelt. Ten layers were deposited, the result of a similar number of weather events. Two basic types of snow were present: depth hoar and wind slab. The depth hoar, 37% of the pack, was produced by the extreme temperature gradients imposed on the snow. The wind slabs, 42% of the snowpack, were the result of two storms in which there was simultaneous snow and high winds (>10 m s -1 ). The slabs impacted virtually all bulk snow properties emphasizing the importance of episodic events in snowpack development. The mean snow depth (n = 21,169) was 33.7 cm with a bulk density of 0.34 g cm -3 (n = 357, r 2 of 0.987), giving an average snow water equivalent of 11.6 cm, 25% higher than the amount record by precipitation gauge. Both depth and stratigraphy varied significantly with ice type, the greatest depth, and the greatest variability in depth occurring on deformed ice (ridges and rubble fields). Across all ice types a persistent structural length in depth variations of ∼20 m was found. This appears to be the result of drift features at the snow surface interacting with small-scale ice surface structures. A number of simple ways of representing the complex temporal and spatial variations of the snow cover in ice-ocean-atmosphere models are suggested.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal Article

Aerial observations of the evolution of ice surface conditions during summer : The surface heat budget of arctic ocen (SHEBA)

TL;DR: In the summer of 1998, a program of aerial photography was carried out at the main site of the Surface Heat Budget of the Arctic Ocean (SHEBA) program at altitudes ranging from 1220 to 1830 m as discussed by the authors.
Journal ArticleDOI

Tundra Snow Emissivities at MHS Frequencies: MEMLS Validation Using Airborne Microwave Data Measured During CLPX-II

TL;DR: An analysis of data from five flights of the Facility for Airborne Atmospheric Measurement BAe146 during the February 2008 Cold Land Processes II campaign over the North Slope of Alaska shows that MEMLS is able to reproduce the emissivity spectra over the sites studied within the uncertainties in the measurements.

The Beaufort Gyre Fresh Water Reservoir: State and Variability From Observations

TL;DR: In this article, the authors investigate basin-scale mechanisms regulating anomalies in fresh water content (FWC) in the Beaufort Gyre (BG) of the Arctic Ocean using historical observations and data collected in 2003-2007.
Journal ArticleDOI

Modeling the fractal geometry of Arctic melt ponds using the level sets of random surfaces

TL;DR: In this article, the authors constructed a simple model of melt pond boundaries as the intersection of a horizontal plane, representing the water level, with a random surface representing the topography and showed that an autoregressive class of anisotropic random Fourier surfaces provides topographies that yield the observed fractal dimension transition, with the ponds evolving and growing as the plane rises.
Journal ArticleDOI

Blowing Snow on Arctic Sea Ice: Results from an Improved Sea Ice–Snow–Blowing Snow Coupled System

TL;DR: In this article, a 1D version of a blowing snow model, called PIEKTUK-D, has been incorporated into a snow-sea ice coupled system, leading to an average decrease of 9 cm in snow depth for an 11-month simulation of the Surface Heat Budget of the Arctic Ocean (SHEBA) dataset (from 31 October 1997 to 1 October 1998).
References
More filters
Book

Statistics and data analysis in geology

John C. Davis
TL;DR: In this article, a thoroughly revised edition presents important methods in the quantitative analysis of geologic data, such as probability, nonparametric statistics, and Fourier analysis, as well as data analysis methods such as the semivariogram and the process of kriging.
Book

An Introduction to Applied Geostatistics

TL;DR: In this paper, Krigeage and continuite spatiale were used for interpolation of a variogramme with anisotropic interpolation reference record created on 2005-06-20, modified on 2011-09-01.
Journal ArticleDOI

A Comprehensive Ocean-Atmosphere Data Set

TL;DR: The Comprehensive Ocean-Atmosphere Data Set (COADS) as mentioned in this paper is the result of a cooperative project to collect global weather observations taken near the ocean surface since 1854, primarily from merchant ships, into a compact and easily used data set.
Journal ArticleDOI

Some results from a time‐dependent thermodynamic model of sea ice

TL;DR: In this paper, a one-dimensional thermodynamic model of sea ice is presented that includes the effects of snow cover, ice salinity, and internal heating due to penetration of solar radiation.
Related Papers (5)