On the importance of representing snow over sea-ice for simulating the Arctic boundary layer

Correctly representing the snow on sea-ice in coupled numerical weather prediction models has great potential to improve weather forecast and climate monitoring applications, such as climate reanalyses, which are usually produced using such systems. In this study two different methodologies to account for the effect of the snowpack accumulating over the sea-ice in 5-day global forecasts are compared. This dataset contains the high-resolution (dx=9km) model data for the different simulations, with and without the snow over sea-ice, co-located with observations at the locations of the SHEBA and N-ICE2015 field campaigns. The dataset also contains the daily averaged skin temperature, for the different simulations (interpolated on 0.25x0.25) performed over the extended time period, 2015-01-01 to 2015-02-28.在耦合数值天气预报模式中准确表征海冰积雪，对提升天气预报与气候监测类应用的性能具有重要价值——此类应用的典型代表为通常依托这类系统生成的气候再分析产品。本研究针对5天全球预报场景下，海冰表面积雪累积的影响评估，对比了两种不同的处理方法。本数据集包含两类高分辨率（空间分辨率dx=9km）模拟模式数据，分别对应纳入与未纳入海冰积雪的模拟场景，且数据点位与SHEBA和N-ICE2015野外考察的观测位置一一匹配。此外，数据集还涵盖2015年1月1日至2015年2月28日延长时段内，所有模拟场景经0.25×0.25插值后的日平均地表温度数据。