基于被动微波遥感反演雪深的时间序列分析我国积雪时空变化特征

The Spatio-Temporal Variations of Snow Cover in China from the Snow Depth Time Series Dataset Based on Passive Microwave Remote Sensing

利用1978-2005年逐日中国积雪深度数据集,分析了我国积雪空间分布特征和季节时空分布特征,并运用趋势线分析方法和均方根差模拟了积雪深度和积雪日数的变化趋势及异常空间变化特征.结果表明:青藏高原东南、青藏高原西部和南部、新疆北部和东北山区为我国积雪空间分布四大高值区.近28 a来,积雪深度和积雪日数呈增加趋势,20世纪80年代青藏高原明显增加和明显减少趋势并存,90年代整体明显增加,2000-2005年整体基本不变.青藏高原中东部、新疆北部以及东北山区为积雪深度异常变化敏感区,而青藏高原西部则为积雪日数异常变化敏感区.

Using the long-term（1978-2005） snow depth dataset of China,the spatial distribution,the seasonal snow cover changes and the inter-annual spatio-temporal variations of snow depth and snow cover days over China were analyzed.It is found that the Southeast Tibetan Plateau,the western and southern margins of the Tibetan Plateau,the Northern Xinjiang Region and the mountain regions of Northeast China are the four areas of deeper snow cover over China.In the period from 1978 to 2005,when the snow depth and snow cover days increased in general,with a remarkable increased area in the Tibetan Plateau,there was a pronounced increase phase in the 1990s and a quasi-stational phase from 2000 to 2005.The regions of central and eastern Tibetan Plateau,Northern Xinjiang Region and the mountain regions of Northeast China are sensitive to the inter-annual anomaly variation of snow depth,and the western Tibetan Plateau is sensitive to the inter-annual anomaly variation of snow cover days.