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基于实测与模拟的青海湖冰厚时空变化特征
引用本文:曹娟,姚晓军,靳惠安,张调风,高永鹏,张大弘,赵全宁. 基于实测与模拟的青海湖冰厚时空变化特征[J]. 湖泊科学, 2021, 33(2): 607-621
作者姓名:曹娟  姚晓军  靳惠安  张调风  高永鹏  张大弘  赵全宁
作者单位:西北师范大学地理与环境科学学院,兰州730070;西北师范大学地理与环境科学学院,兰州730070;甘肃林业职业技术学院,天水741020;青海省气候中心,西宁810000;云南大学国际河流与生态安全研究院,昆明650091;青海省气象科学研究所,西宁810000
基金项目:国家自然科学基金项目(41861013)、云南大学引进人才科研项目(YJRC3201702)、中国科学院“西部之光”人才培养引进计划项目和西北师范大学青年教师科研能力提升计划项目(NWNU-LKQN-14-4)联合资助.
摘    要:
湖冰厚度是湖泊在封冻期的重要物理参数,明晰其时空变化特征对于认识气候变暖背景下的湖冰响应规律具有重要的理论价值和现实意义.基于ERA5 Climate Reanalysis气温数据集、MODIS MOD09GQ数据产品和2019年湖冰钻孔测厚数据及雷达测厚数据,重建20002019年青海湖冰厚时间序列并分析其时空变化特...

关 键 词:湖冰  冰厚  机载测冰雷达  度日法湖冰生长模型  青海湖
收稿时间:2020-05-05
修稿时间:2020-08-03

Spatiotemporal variation of ice thickness of Lake Qinghai derived from field measurements and model simulation
Cao Juan,Yao Xiaojun,Jin Hui''an,Zhang Tiaofeng,Gao Yongpeng,Zhang Dahong,Zhao Quanning. Spatiotemporal variation of ice thickness of Lake Qinghai derived from field measurements and model simulation[J]. Journal of Lake Science, 2021, 33(2): 607-621
Authors:Cao Juan  Yao Xiaojun  Jin Hui''an  Zhang Tiaofeng  Gao Yongpeng  Zhang Dahong  Zhao Quanning
Affiliation:College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, P. R. China;College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, P. R. China;Gansu Forestry Technological College, Tianshui 741020, P. R. China;Qinghai Climate Center, Xining 810000, P. R. China;Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, P. R. China; Institute of Qinghai Meteorological Science Research, Xining 810000, P. R. China
Abstract:
Ice thickness is an important physical parameter of a lake in the freezing period. It is of great theoretical and practical significance to understand the spatiotemporal characteristics of lake ice, which helps study how lake ice responds to climate under the background of global warming. Based on the ERA5 Climate Reanalysis temperature dataset, MODIS MOD09GQ data product, and ice borehole and radar thickness measurements in 2019, the thickness of lake ice in Lake Qinghai between 2000 and 2019 was reconstructed and the spatial-temporal variation characteristic was analyzed. The results showed that the average growth rate of ice thickness in March (0.30 cm/d) was faster than that in February (0.12 cm/d) based on the field survey data. The average growth rate of ice thickness in Lake Qinghai from November 2018 to March 2019 was 0.34 cm/d simulated by the degree-day model, with the ice thickness error of ±2 cm compared with the actual observation data. However, the error was large at the entrance of the river and the south side of Lake Qinghai. Meanwhile, the simulation of ice thickness was overestimated before the mid-March but underestimated later. The annual average ice thickness of Lake Qinghai was 32-37 cm, in which, it fluctuated dramatically in 2008-2016, showing the tendency of thickening first, then stabilizing and finally thinning. At the beginning of lake freezing, the ice thickness increased rapidly with the growth rate of 0.45 cm/d in December and 0.41 cm/d in January. After February, the rate slowed down, and it was 0.29 cm/d in February and 0.14 cm/d in March. On the whole, the ice thickness of Lake Qinghai showed a spatial pattern of being thicker in the north and east, whereas being thinner in the south and west, years of spatial change were more stable in the west than in the east. The average thickness of lake ice was positively correlated with complete freezing duration and the freeze-up period.
Keywords:Lake ice  ice thickness  airborne ice radar  degree-day model  Lake Qinghai
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