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

• Published in: IEEE geoscience and remote sensing letters 2021-12, Vol.18 (12), p.2132-2136
• Main Authors: Xiong, Chuan, Lei, Yonghui, Qiu, Yubao
• Format: Article
• Language: English
• Subjects: Air temperature; Climate change; Climate studies; Climatic analysis; Correlation analysis; Ice; Lake ice; lake ice phenology; Lakes; Meteorology; Microwave FET integrated circuits; Microwave radiometers; Microwave radiometry; passive microwave (PM); Phenology; Radiometry; Remote sensing; Salinity; Salinity (geophysical); Salinity effects; Temperature; Temperature changes; Temperature sensors; Time series; Time series analysis; Variation; Volume transport; water volume
• ISSN: 1545-598X; 1558-0571
• DOI: 10.1109/LGRS.2020.3013410

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.