Snow in the changing sea-ice systems
Snow in the changing sea-ice systems
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DOI：
10.1038/s41558-018-0286-7
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发表时间：
2018-10
影响因子：
30.7
通讯作者：
M. Webster;S. Gerland;M. Holland;E. Hunke;R. Kwok;O. Lecomte;R. Massom;D. Perovich;M. Sturm
中科院分区：
文献类型：
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作者：
M. Webster;S. Gerland;M. Holland;E. Hunke;R. Kwok;O. Lecomte;R. Massom;D. Perovich;M. Sturm
雪是地球上反射率最高的，也是最隔热的天然材料。因此，它是海冰和气候系统的一个组成部分。然而，雪的空间和时间异质性对观测、理解和模拟人为变暖下的这些系统提出了挑战。在这里，我们调查的冰雪系统，然后提供建议，克服目前的挑战。其中包括：收集面向过程的观测数据，用于模型诊断和了解冰雪反馈，并提高我们对雪的遥感能力，以监测海冰上雪的大规模变化。这些努力可以通过加强观测、遥感和建模界之间的协调来实现，并将通过显著改善极地环境预测而产生效益。
Snow is the most reflective, and also the most insulative, natural material on Earth. Consequently, it is an integral part of the sea-ice and climate systems. However, the spatial and temporal heterogeneities of snow pose challenges for observing, understanding and modelling those systems under anthropogenic warming. Here, we survey the snow–ice system, then provide recommendations for overcoming present challenges. These include: collecting process-oriented observations for model diagnostics and understanding snow–ice feedbacks, and improving our remote sensing capabilities of snow for monitoring large-scale changes in snow on sea ice. These efforts could be achieved through stronger coordination between the observational, remote sensing and modelling communities, and would pay dividends through distinct improvements in predictions of polar environments.