气候变化领域集成服务门户(CCPortal): Modeling Climate Characteristics of Qinghai Lake Ice in 1979-2017 by a Quasi-Steady Model

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DOI	10.3390/rs16101699
	Modeling Climate Characteristics of Qinghai Lake Ice in 1979-2017 by a Quasi-Steady Model
	Tang, Hong; Zhao, Yixin; Wen, Lijuan; Lepparanta, Matti; Niu, Ruijia; Fu, Xiang
发表日期	2024
EISSN	2072-4292
起始页码	16
结束页码	10
卷号	16 期号:10
英文摘要	Lakes on the Qinghai Tibet Plateau (QTP) are widely distributed spatially, and they are mostly seasonally frozen. Due to global warming, the thickness and phenology of the lake ice has been changing, which profoundly affects the regional climate evolution. There are a few studies about lake ice in alpine regions, but the understanding of climatological characteristics of lake ice on the QTP is still limited. Based on a field experiment in the winter of 2022, the thermal conductivity of Qinghai Lake ice was determined as 1.64 Wm-1degrees C-1. Airborne radar ice thickness data, meteorological observations, and remote sensing images were used to evaluate a quasi-steady ice model (Lepp & auml;ranta model) performance of the lake. This is an analytic model of lake ice thickness and phenology. The long-term (1979-2017) ice history of the lake was simulated. The results showed that the modeled mean ice thickness was 0.35 m with a trend of -0.002 ma-1, and the average freeze-up start (FUS) and break-up end (BUE) were 30 December and 5 April, respectively, which are close to the field and satellite observations. The simulated trend of the maximum ice thickness from 1979 to 2017 (0.004 ma-1) was slightly higher than the observed result (0.003 ma-1). The simulated trend was 0.20 da-1 for the FUS, -0.34 da-1 for the BUE, and -0.54 da-1 for the ice duration (ID). Correlation and detrending analysis were adopted for the contribution of meteorological factors. In the winters of 1979-2017, downward longwave radiation and air temperature were the two main factors that had the best correlation with lake ice thickness. In a detrending analysis, air temperature, downward longwave radiation, and solar radiation contributed the most to the average thickness variability, with contributions of 42%, 49%, and -48%, respectively, and to the maximum thickness variability, with contributions of 41%, 45%, and -48%, respectively. If the six meteorological factors (air temperature, downward longwave radiation, solar radiation, wind speed, pressure, and specific humidity) are detrending, ice thickness variability will increase 83% on average and 87% at maximum. Specific humidity, wind, and air pressure had a poor correlation with ice thickness. The findings in this study give insights into the long-term evolutionary trajectory of Qinghai Lake ice cover and serve as a point of reference for investigating other lakes in the QTP during cold seasons.
英文关键词	Qinghai Lake; lake ice; ice thickness; ice phenology; quasi-steady model
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001231361200001
来源期刊	REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/306194
作者单位	Chinese Academy of Sciences; Chinese Academy of Sciences; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; University of Helsinki; Dalian University of Technology
推荐引用方式 GB/T 7714	Tang, Hong,Zhao, Yixin,Wen, Lijuan,et al. Modeling Climate Characteristics of Qinghai Lake Ice in 1979-2017 by a Quasi-Steady Model[J],2024,16(10).
APA	Tang, Hong,Zhao, Yixin,Wen, Lijuan,Lepparanta, Matti,Niu, Ruijia,&Fu, Xiang.(2024).Modeling Climate Characteristics of Qinghai Lake Ice in 1979-2017 by a Quasi-Steady Model.REMOTE SENSING,16(10).
MLA	Tang, Hong,et al."Modeling Climate Characteristics of Qinghai Lake Ice in 1979-2017 by a Quasi-Steady Model".REMOTE SENSING 16.10(2024).