青藏高原初春积雪的多尺度变化与北大西洋海温的关系

青藏高原冬、春季积雪变化影响东亚甚至全球春、夏季的环流及气候异常。利用中国西部环境与生态科学数据中心提供的中国雪深长时间序列数据集，美国大气海洋局提供的全球逐月扩展重建海表温度，以及欧洲中期天气预报中心提供的逐月再分析数据，对青藏高原初春（3、4月）积雪的多尺度变化与北大西洋海表温度的关系进行了研究。结果表明，初春青藏高原雪深异常与初春北大西洋关键区海温异常有显著的负相关关系。当初春关键区海温正（负）异常时，初春高原中部偏北腹地地区、东南部地区积雪深度减少（增加）；初春北大西洋关键区海温异常通过激发下游青藏高原上空大气波列以及波作用通量异常来影响高原局地区域的温度和垂直运动，从而影响降雪的产生和积雪的累积。该结果为青藏高原初春积雪的多尺度变化及其影响提供了依据。

Relationship between multi-scale variations of snow cover on the Tibetan Plateau in early-spring and the North Atlantic sea surface temperature

The variation of the Tibetan Plateau snow cover during winter and spring can impact East Asian or even global atmospheric circulation and climate anomalies in spring and summer. Long-term snow depth dataset of China from Environmental and Ecological Science Data Center for West China, the monthly reanalysis data from the European Centre for Medium-Range Weather Forecasting (ECMWF) Re-Analysis Interim (ERA-Interim) and the Extended Reconstructed Sea Surface Temperature (ERSST) data from NOAA are used to study the relationship between multi-scale variations of the Tibetan Plateau snow cover and the North Atlantic sea surface temperature in early-spring (March-April). It is demonstrated that the Tibetan Plateau snow cover depth (TPSD) anomaly in early-spring negatively correlated with the sea surface temperature anomaly (SSTA) in the key regions of North Atlantic in early-spring. When the SSTA is positive (negative), the snow depth in the north central hinterland and the southeastern regions of the Tibetan Plateau will decline (increase) in early-spring. The SSTA in the key regions can stimulate wave train over Eurasia and wave activity flux anomaly over the Tibetan Plateau to impact the temperature and vertical motion, resulting in more snowfall and deeper snow cover. The results are useful for studying the multi-scale variations of the Tibetan Plateau snow cover and their influences during early-spring.