Lake ice phenology of Nam Co, Central Tibetan Plateau, China, derived from multiple MODIS data products

被引:37
作者
Gou, Peng [1 ,2 ]
Ye, Qinghua [1 ]
Che, Tao [3 ]
Feng, Qiang [4 ]
Ding, Baohong [1 ]
Lin, Changgui [1 ]
Zong, Jibiao [1 ,3 ,4 ]
机构
[1] Chinese Acad Sci, Inst Tibetan Plateau Res, Lab Tibetan Environm Changes & Land Surface Proc, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Key Lab Remote Sensing Gansu Prov, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China
[4] Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
lake ice phenology; Nam Co; Tibetan Plateau; Climate change; MODIS; GREAT SLAVE LAKE; SATELLITE ALTIMETRY; CLIMATE-CHANGE; WATER STORAGE; BEAR LAKE; COVER; VARIABILITY; TRENDS; INDICATOR; COHERENCE;
D O I
10.1016/j.jglr.2017.08.011
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Lake ice phenology, including freeze-up and break-up dates, is a sensitive indicator of climate change. However, uniformly created lake ice phenology records are still required on the Tibetan Plateau (TP) for a more accurate analysis of climate change. In this study, we present a new automated method to extend the interpretation of existing in-situ lake ice records, using multiple MODIS data products. Our results showed strong agreement with the in-situ data at Nam Co (Co means lake in Tibetan language) on the central TP. The multiple MODIS based method is therefore well-suited to the detection of lake ice phenology. The result showed that in 2000-2015, the mean lake ice duration (ID) in the middle of Nam Co was similar to 87 d: the freeze-up start (FUS) date delayed 0.58 d/yr and the break-up start (BUS) date delayed 0.09 d/yr, giving a total decrease in ID at the rate of 0.49 d/yr. We suggest the delayed freeze-up dates became more marked in response to climate warming. Changes in lake ice coverage in Nam Co are affected by a number of local and regional climatic factors, such as air temperature and wind speed. (C) 2017 International Association for Great Lakes Research. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:989 / 998
页数:10
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