Contrasting Lake Ice Phenology Changes in the Qinghai-Tibet Plateau Revealed by Remote Sensing

被引：4
作者：
Xiong, Chuan [1 ]
Lei, Yonghui [2 ]
Qiu, Yubao [2 ]
机构：
[1] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 610031, Peoples R China
[2] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2021年 / 18卷 / 12期
关键词：
Lakes; Ice; Meteorology; Salinity (geophysical); Time series analysis; Temperature sensors; Microwave FET integrated circuits; Air temperature; climate change; lake ice phenology; passive microwave (PM); salinity; water volume; GREAT SLAVE LAKE; CLIMATE-CHANGE; MODEL SIMULATIONS; BEAR LAKE; TRENDS; VARIABILITY; MODIS; SENSITIVITY; PATTERNS; CANADA;
D O I：
10.1109/LGRS.2020.3013410
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
Lake ice phenology is regarded as a good proxy for the past and present climates. Long time series passive microwave radiometry data are used to estimate lake ice phenology variations in the Qinghai-Tibet Plateau (QTP), and a contrasting pattern of phenology change trend is found that the time series trend of lake ice freeze-up or break-up time is obviously reversed for lakes in the QTP. The reason for this contrasting trend of lake ice phenology is discussed based on factors such as salinity, water volume change, and air temperature change. Lake ice phenology data are separated based on lake salinity for the climate study: lake ice phenology of lakes with low salinity can be used as air temperature and climate change indicator, whereas lake ice phenology of lakes with high salinity and a low water volume can be used as an indicator of water volume variation under climate change. Correlation analysis of air temperature and the lake ice phenology show that air temperature is the main driving factor behind lake ice phenology variations. The lake ice phenology results suggest overall rising air temperatures during the period 1987-2017 in all regions of the QTP.
引用
收藏
页码：2132 / 2136
页数：5
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