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Modeling the thickness of perennial ice covers on stratified lakes of the Taylor Valley, Antarctica

机译:南极塔尔谷分层湖泊厚度的塑造

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A 1-D ice cover model was developed to predict and constrain drivers of long-termice thickness trends in chemically stratified lakes of Taylor Valley, Antarctica. The model is driven by surface radiative heat fluxes and heat fluxes from the underlying water column. The model successfully reproduced 16 a (between 1996 and 2012) of ice thickness changes for the west lobe of Lake Bonney (average ice thickness = 3.53 m) and Lake Fryxell (average ice thickness = 4.22 m). Long-term ice thickness trends require coupling with the thermal structure of the water column. The heat stored within the temperature maximum of lakes exceeding a liquid water column depth of 20 m can either impede or facilitate ice thickness change depending on the predominant climatic trend (cooling or warming). As such, shallow (<20 m deep water columns) perennially ice-covered lakes without deep temperature maxima are more sensitive indicators of climate change. The long-term ice thickness trends are a result of surface energy flux and heat flux from the deep temperature maximum in the water column, the latter of which results from absorbed solar radiation.
机译:开发了一个1-D冰覆盖模型,以预测和限制化学分层泰勒谷,南极地区化学分层湖泊的驾驶员。该模型由表面辐射热通量和来自下面的水柱的热通量驱动。该模型成功地复制了16 A(1996年至2012年间)冰尼湖西叶(平均冰厚度= 3.53米)和Fryxell湖(平均冰厚度= 4.22米)的冰厚度变化。长期冰厚度趋势需要与水柱的热结构联接。存储在湖泊的温度最大值内的热量超过20μm的液体水柱深度可以妨碍或促进冰厚度变化,这取决于主要的气候趋势(冷却或变暖)。因此,浅(<20米深水柱)多年生冰湖,没有深温最大值是最敏感的气候变化指标。长期冰厚度趋势是表面能量通量和热通量从水柱中的深温最大值的热量,这是由吸收的太阳辐射产生的。

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