Spatial and Temporal Variation Analysis of Snow Cover Using MODIS over Qinghai-Tibetan Plateau during 2003–2014

Spatial and Temporal Variation Analysis of Snow Cover Using MODIS over Qinghai-Tibetan Plateau during 2003–2014
复制标题

DOI:
10.1007/s12524-016-0617-y
复制
发表时间:
2017-10
影响因子:
2.5
通讯作者:
Yonghong Zhang;Ting Cao;Xi Kan;Jiangeng Wang;Wei Tian
Yonghong Zhang;Ting Cao;Xi Kan;Jiangeng Wang;Wei Tian
中科院分区:
工程技术4区
文献类型:
--
作者:
Yonghong Zhang;Ting Cao;Xi Kan;Jiangeng Wang;Wei Tian

文献摘要

被引文献

相似文献

青藏高原积雪信息的高精度时空特征获取对于研究其陆-气耦合系统和全球气候变化效应具有重要意义。中分辨率成像光谱辐射计(MODIS)逐日积雪产品(MOD 10A 1和MYD 10A 1)在长时间序列的时空变化分析中得到了广泛应用,但由于高云量覆盖率而受到限制。本文提出了一种7天滚动组合算法消除云遮蔽,使整个云量降到福尔斯7%以下。经地面站实测验证,总体精度在90%以上.该算法在保证相同的空间分辨率和时间分辨率的前提下,比产品MOD 10A 1和MYD 10A 1具有更高的精度。利用QTP 2003 - 2014年MODIS 7天滚动组合雪盖数据集产品,分析了QTP地区雪盖面积的时空变化。结合数字高程模型数据,研究了积雪持续时间的变化特征。结果表明,青藏高原积雪面积总体上呈缓慢减少趋势,但秋季有所增加。因此,不同海拔的年周期性和不稳定性积雪覆盖比例与海拔面积的相关性最高。
The Qinghai-Tibetan Plateau (QTP) snow cover information acquisition of the high precision spatial and temporal characteristics is of great significance for the research on its land surface atmosphere coupled system and global climate change effects. The Moderate Resolution Imaging Spectro-radiometer (MODIS) daily snow cover products (MOD10A1 and MYD10A1) have been widely used in long time series of spatial and temporal variation analysis, but they are limited to be used because of high cloud cover ratio. In this paper, a 7-day rolling combination algorithm was presented to eliminate cloud obscuration, and the whole cloud amount falls below 7 %. The ground station in situ measurements verify that the overall precision is more than 90 %. The presented algorithm guaranteed the same spatial resolution and temporal resolution, and has higher precision than products MOD10A1 and MYD10A1. The MODIS 7-day rolling combination snow cover datasets products were obtained between 2003 and 2014 in the QTP, and the snow cover area of spatial and temporal variation was analyzed. The change characteristics of snow cover duration was also studied combining with the Digital Elevation Model data. Results show that the snow cover area of the whole QTP has a slowly decreased trend, but increases in autumn. Thus, the snow cover proportion of annual periodic and unstable in different elevations has the highest correlation with area of the elevation.