文章基本信息

标题：The impact of a thermodynamic sea-ice module in the COSMO numerical weather prediction model on simulations for the Laptev Sea, Siberian Arctic
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作者：David Schröder ; Günther Heinemann ; Sascha Willmes 等
期刊名称：Polar Research
印刷版ISSN：1751-8369
出版年度：2011
卷号：30
期号：0
DOI：10.3402/polar.v30i0.6334
语种：English
出版社：Co-Action Publishing
摘要：Previous versions of the Consortium for Small-scale Modelling (COSMO) numerical weather prediction model have used a constant sea-ice surface temperature, but observations show a high degree of variability on sub-daily timescales. To account for this, we have implemented a thermodynamic sea-ice module in COSMO and performed simulations at a resolution of 15 km and 5 km for the Laptev Sea area in April 2008. Temporal and spatial variability of surface and 2-m air temperature are verified by four automatic weather stations deployed along the edge of the western New Siberian polynya during the Transdrift XIII-2 expedition and by surface temperature charts derived from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data. A remarkable agreement between the new model results and these observations demonstrates that the implemented sea-ice module can be applied for short-range simulations. Prescribing the polynya areas daily, our COSMO simulations provide a high-resolution and high-quality atmospheric data set for the Laptev Sea for the period 14-30 April 2008. Based on this data set, we derive a mean total sea-ice production rate of 0.53 km3/day for all Laptev Sea polynyas under the assumption that the polynyas are ice-free and a rate of 0.30 km3/day if a 10-cm-thin ice layer is assumed. Our results indicate that ice production in Laptev Sea polynyas has been overestimated in previous studies.Keywords: Laptev Sea; polynya; mesoscale modelling(Published: 12 May 2011)Citation: Polar Research 2011, 30, 6334, DOI: 10.3402/polar.v30i0.6334
关键词：Laptev Sea; polynya; mesoscale modelling