An examination of snow redistribution over smooth land‐fast sea ice

• Published in: Hydrological Processes
• Main Authors: Iacozza, J., Barber, D. G.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2009
• Subjects: Paulatuk; Sea ice
• Online Access: http://dx.doi.org/10.1002/hyp.7526; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fhyp.7526; https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.7526

Abstract An understanding of temporal evolution of snow on sea ice at different spatial scales is essential for improvement of snow parameterization in sea ice models. One of the problems we face, however, is that long‐term climate data are routinely available for land and not for sea ice. In this paper, we examine the temporal evolution of snow over smooth land‐fast first‐year sea ice using observational and modelled data. Changes in probability density functions indicate that depositional and drifting events control the evolution of snow distribution. Geostatistical analysis suggests that snowdrifts increased over the study period, and the orientation was related to the meteorological conditions. At the microscale, the temporal evolution of the snowdrifts was a product of infilling in the valleys between drifts. Results using two shore‐based climate reporting stations (Paulatuk and Tuktoyuktuk, NWT) suggest that on‐ice air temperature and relative humidity can be estimated using air temperature recorded at either station. Wind speed, direction and precipitation on ice cannot be accurately estimated using meteorological data from either station. The temporal evolution of snow distribution over smooth land‐fast sea ice was modelled using SnowModel and four different forcing regimes. The results from these model runs indicate a lack of agreement between observed distribution and model outputs. The reasons for these results are lack of meteorological measurements prior to the end of January, lack of spatially adequate surface topography and discrepancies between meteorological variables on land and ice. Copyright © 2009 John Wiley & Sons, Ltd.