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首页> 外文期刊>The Cryosphere Discussions >The Antarctic sea ice cover from ICESat-2 and CryoSat-2: freeboard, snow depth, and ice thickness
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The Antarctic sea ice cover from ICESat-2 and CryoSat-2: freeboard, snow depth, and ice thickness

机译:南极海冰覆盖来自ice ice-2和低温 - 2:干舷,雪深和冰厚度

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We offer a view of the Antarctic sea ice cover from lidar (ICESat-2) and radar (CryoSat-2) altimetry, with retrievals of freeboard, snow depth, and ice thickness that span an 8-month winter between 1?April and 16?November?2019. Snow depths are from freeboard differences. The multiyear ice observed in the West Weddell sector is the thickest, with a mean sector thickness 2m. The thinnest ice is found near polynyas (Ross Sea and Ronne Ice Shelf) where new ice areas are exported seaward and entrained in the surrounding ice cover. For all months, the results suggest that ~65%–70% of the total freeboard is comprised of snow. The remarkable mechanical convergence in coastal Amundsen Sea, associated with onshore winds, was captured by ICESat-2 and CryoSat-2. We observe a corresponding correlated increase in freeboards, snow depth, and ice thickness. While the spatial patterns in the freeboard, snow depth, and thickness composites are as expected, the observed seasonality in these variables is rather weak. This most likely results from competing processes (snowfall, snow redistribution, snow and ice formation, ice deformation, and basal growth and melt) that contribute to uncorrelated changes in the total and radar freeboards. Evidence points to biases in CryoSat-2 estimates of ice freeboard of at least a few centimeters from high salinity snow (10) in the basal layer resulting in lower or higher snow depth and ice thickness retrievals, although the extent of these areas cannot be established in the current data set. Adjusting CryoSat-2 freeboards by 3–6cm gives a circumpolar ice volume of 17900–15600km3 in October, for an average thickness of ~1.29–1.13m. Validation of Antarctic sea ice parameters remains a challenge, as there are no seasonally and regionally diverse data sets that could be used to assess these large-scale satellite retrievals.
机译:我们提供南极海冰盖的景观来自LIDAR(ICESAT-2)和雷达(Cryosat-2)的高度偏压,横跨1年4月和16岁之间的8个月冬季的冰床的检索?11月?2019年。雪深来自干舷差异。在西部楔子部门观察到的多年冰是最厚的,平均扇形厚度为2M。最薄的冰是在Polynyas(Ross Sea和Ronne Ice Shelf附近)附近的新冰区出口海上,并夹带在周围的冰盖上。所有几个月,结果表明,〜65%-70%的干舷包括雪。与陆上风相关联的沿海Amundsen海中的非凡的机械融合,由Icesat-2和Cryosat-2捕获。我们观察到一个相应的无关增加,在干舷,雪深和冰厚度。虽然干舷中的空间图案,雪深,厚度复合材料如预期的那样,但这些变量中观察到的季节性相当弱。这可能是竞争过程(降雪,雪再分配,冰和冰和冰形成,冰变形和熔体)导致,这有助于对总和雷达的流动性的不相关变化。在基底层中,在基底层中,在基底层中的高盐度雪(10)中的冰冷冰板的冰冻黑板估计中的偏差有所下降,导致雪深层和冰厚度检索,尽管无法建立这些区域的程度在当前数据集中。调整冷冻机-2的收油毡3-6CM,10月份提供17900-15600km3的Circumpolar Ic卷,平均厚度为1.29-1.13M。南极海冰参数的验证仍然是一个挑战,因为没有季节性和区域不同的数据集,可用于评估这些大规模的卫星检索。

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