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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >On detection of the thermophysical state of landfast first-year sea ice using in-situ microwave emission during spring melt
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On detection of the thermophysical state of landfast first-year sea ice using in-situ microwave emission during spring melt

机译:利用春季融化过程中的原位微波辐射检测陆生第一年海冰的热物理状态

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In this study we examine the critical linkages between thermophysical properties and microwave emissions of landfast snow-covered first-year sea ice during spring melt. For this we analyzed the temporal evolution of radiation fluxes, electro-thermophysical properties and microwave emissions, and perform model simulations to evaluate the observations. The results show five major microwave signature events: brine-rich, blowing snow, melt onset, the onset of funicular regime, and freezing. A brine-rich snow basal layer can considerably increase the snow wetness in the upper and mid layers, resulting in a significant increase in complex permittivity that in turn increases in polarization difference (δp) at 19 and 37 GHz. A dense (~0.40 g cm{sup}(-3)) wind-packed snow surface layer, during a blowing snow event, was found to increase the permittivity (i.e., surface reflectivity) that in turn increases δp in microwave emissions. Melt onset caused by sustained warming (above - 5℃) corresponded to increased δp of ~9 K at 19 GHz. The most dramatic increase in δp (up to 17 K at 19 GHz) coincided with the occurrence of a rainstorm. During a freezing, melt-freeze events enlarged snow grains and led to formation of ice lenses and layers within the snow, thereby significantly decreasing microwave emissions. We found that these five factors state above were critical to the melt indicators (i.e., ΔT{sub}B(H) (T{sub}B(19H)-T{sub}B(37H)) and XPGR ([T{sub}B(19H)-T{sub}B(37V)]/[T{sub}B(19H)+T{sub}B(37V)])) commonly used in the satellite melt detection algorithms. The results suggests that the absolute value of T{sub}B(19H) (brightness temperature of horizontal polarization at 19 GHz) would be a good indicator along with ΔT{sub}B(H) (or XPGR) to delineate the melt onset from ambiguous factors (i.e., a brine-rich slush layer or wind-packed layer), and that the funicular stage of snow melt on sea ice could be unambiguously detected by either ΔT{sub}B(H) or XPGR.
机译:在这项研究中,我们研究了春季融化期间陆上积雪覆盖的第一年海冰的热物理性质与微波发射之间的关键联系。为此,我们分析了辐射通量,电热物理性质和微波发射的时间演变,并进行了模型仿真以评估观测结果。结果显示了五个主要的微波特征事件:浓盐水,吹雪,融化开始,缆索状开始和冻结。富含盐水的雪基底层可以显着增加上层和中层的雪湿度,从而导致复介电常数显着增加,进而使19和37 GHz时的极化差(δp)增大。发现在吹雪事件期间致密的(〜0.40 g cm {sup}(-3))风压雪表面层增加了介电常数(即表面反射率),从而增加了微波发射中的δp。持续升温(高于-5℃)引起的熔体起爆对应于19 GHz时〜9 K的δp增加。 δp的最大幅度增加(在19 GHz时高达17 K)与暴雨的发生相吻合。在冻结期间,融化冻结事件会扩大雪粒,并导致在雪中形成冰晶和冰层,从而显着减少微波辐射。我们发现上述这五个因素对熔体指标(即ΔT{sub} B(H)(T {sub} B(19H)-T {sub} B(37H))和XPGR([T { sub} B(19H)-T {sub} B(37V)] / [T {sub} B(19H)+ T {sub} B(37V)]))通常在卫星解链检测算法中使用。结果表明,T {sub} B(19H)的绝对值(19 GHz水平极化的亮度温度)与ΔT{sub} B(H)(或XPGR)一起可以很好地指示熔体的开始由于模棱两可的因素(即富含盐水的泥浆层或风积层),并且可以通过ΔT{sub} B(H)或XPGR明确地检测到海冰上融雪的缆索期。

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