地球信息科学学报 ›› 2016, Vol. 18 ›› Issue (11): 1573-1580.doi: 10.3724/SP.J.1047.2016.01573

• • 上一篇    

2002-2012年青藏高原积雪物候变化及其对气候的响应

汪箫悦1,2(), 王思远1,**(), 尹航1,2, 彭瑶瑶1,2   

  1. 1. 中国科学院遥感与数字地球研究所,北京 100094
    2. 中国科学院大学,北京 100049
  • 收稿日期:2015-11-09 修回日期:2015-12-20 出版日期:2016-11-20 发布日期:2016-11-20
  • 通讯作者: 王思远 E-mail:wangxy02@radi.ac.cn;wangsy@radi.ac.cn
  • 作者简介:

    作者简介:汪箫悦(1990-),男,硕士生,研究方向为遥感与GIS应用。E-mail: wangxy02@radi.ac.cn

  • 基金资助:
    国家自然科学基金项目(41271426)

Snow Phenology Variability in the Qinghai-Tibetan Plateau and Its Response to Climate Change During 2002-2012

WANG Xiaoyue1,2(), WANG Siyuan1,*(), YIN Hang1,2, PENG Yaoyao1,2   

  1. 1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2015-11-09 Revised:2015-12-20 Online:2016-11-20 Published:2016-11-20
  • Contact: WANG Siyuan E-mail:wangxy02@radi.ac.cn;wangsy@radi.ac.cn

摘要:

积雪是地表最活跃的自然要素之一,其动态变化对气候、环境以及人类生活都产生了重要影响。本文利用MODIS积雪产品和IMS雪冰产品,首先通过Terra、Aqua双星合成和临近日合成去除MODIS积雪产品中的部分云像元,再与IMS融合,获取了青藏高原2002-2012年逐日无云积雪覆盖产品,并逐像元计算每个水文年的积雪覆盖日数(SCD)、积雪开始期(SCS)和积雪结束期(SCE),分析了不同生态分区积雪的时空变化特征,以及积雪开始期和结束期与温度、降水的关系。结果表明:青藏高原积雪分布存在明显的空间差异,南部喜马拉雅山脉和念青唐古拉山地区以及西部帕米尔高原和喀喇昆仑山脉为SCD的2个高值区,年均积雪日数在200 d以上。18.1%的区域SCS表现出明显的提前趋势,主要集中在青藏高原中东部;羌塘高原南部、念青唐古拉山西段以及川西地区有显著推迟趋势,占高原面积的8.5%。23.2%的区域SCE显著推迟,主要集中在果洛那曲高寒区、昆仑山区和念青唐古拉山地区;而仅有6.9%的区域表现出提前趋势,主要分布在高原西南部。总体上,不同生态单元内积雪开始与结束期受温度、降水的影响差异很大,表现出不同的空间格局与演变趋势。

关键词: 青藏高原, 积雪日数, 积雪开始期, 积雪结束期, 气象因子

Abstract:

Snow cover is one of the most active natural components on Earth’s surface. The variability of snow phenology has a major impact on water cycle, climate change, environment and human activities. The Qinghai-Tibetan Plateau has a wide range of seasonal snow cover, and its accumulation and rapid meltdown can affect the regional and global climate change. Studying the snow variability in the Qinghai-Tibetan Plateau is therefore important. In this study, the MODIS snow product and IMS snow-ice product were used. Firstly, the Terra and Aqua satellite images were combined to reduce the proportion of cloud pixels. Secondly, the temporal combinations were employed to further reduce the cloud pixels. Finally, the processed MODIS snow product and IMS were fused to produce the daily cloud-free snow product of the Qinghai-Tibetan Plateau from 2002 to 2012. Then, the snow-covered days (SCD), snow cover start (SCS) and snow cover end (SCE) dates were calculated for each hydrological year, and their spatial and temporal variations in different eco-geographical regions were analyzed. The correlations among the SCS, SCE and climate factors were also investigated. The results show that the distribution of snow cover over the Qinghai-Tibetan Plateau was very uneven. The longest SCD, totalized to be more than 200 days, occurred in the Himalayas, Karakoram, Nyainqentanglha Mountains and the Pamirs Plateau. Up to 18.1% of the area of SCS showed a significantly advanced trend, which mainly occurred in the Golog-Nagqu high-cold region and the southern Qinghai high-cold region; while 8.5% of the area showed a slightly delayed trend. Up to 23.2% of the area of SCE was delayed, occurring mainly in the central and eastern Tibetan Plateau; while only 6.9% of the area showed an advanced trend. The SCS and SCE were greatly affected by temperature and precipitation, but showed different spatial patterns and evolution trends in different ecological zones. Generally, the higher temperature delayed the SCS and advanced the SCE, but more precipitation led to the earlier SCS and the later SCE.

Key words: Qinghai-Tibetan Plateau, snow-covered days, snow cover start date, snow cover end date, climate factors