Monitoring and Modelling Lake Ice in Canada

加拿大湖冰监测和建模

• 批准号: RGPIN-2015-05316
• 负责人: Brown, Laura
• 金额: $ 1.97万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=708637
• 关键词: Monitoring; Modelling; Lake; Ice; Canada

Canada's lakes are a dominant part of the landscape and experience ice cover in most regions of the country. Lake ice is sensitive to climate variability and changes occurring in lake ice regimes in recent years have been primarily noted through modelling and satellite data since the ground based observation network in Canada essentially ceased to exist by the late 1990s. Satellite imagery can be very useful for monitoring the timing of ice-on/off, however, it currently has limited use for determining ice thickness. Lake ice models present a suitable option for examining ice duration and thickness processes as well as climate influenced changes to the ice cover of lakes. Complicating both modelling and monitoring efforts are the spatial aspects of lakes. Ice cover may not form or decay uniformly across a lake surface, or across lakes in close proximity. This is due to the ice formation and decay being affected by the lake size and shape, as well as the overlying snow cover, which can result in spatially varying ice thickness. The overall objective of this proposal is to investigate the effects of lake size and shape on ice duration and thickness across the temperate, subarctic and High Arctic climate regions and address these effects in the Canadian Lake Ice Model. The chosen lakes are near Haliburton ON, Churchill MB, and Cambridge Bay NU and were selected based on their accessibility and potential for long term monitoring. Automated weather stations will be set up in each region to provide local climate conditions for model input, ice thickness sensors will be installed to monitor ice growth and decay, snow and ice thickness will be measured manually throughout the winter (ON site), and a network of outdoor digital cameras will be installed. Multiple cameras will provide the ability to monitor ice conditions on different sections of the lakes where the shape influences on the snow and ice may differ. Larger lakes will also be monitored using available satellite data. The collected data will be used to improve the effects of snow cover on modelled ice thickness, as well as to develop a technique to address the effect of lake size on the ice-off dates within the lake ice model. This research will contribute new knowledge on spatial patterns of lake ice at a smaller scale than satellites can capture. It will also lead to improvements in the lake ice model with respect to the morphometry of lakes and how climatic regions affect the growth/decay of lake ice. This research is of interest to researchers in hydrology and climatology, as well as biology and limnology with respect to under ice habitat and changing ice conditions on the lake ecosystem. Finally, improving the ability to accurately model ice thickness can contribute to improved predictions in areas such as recreation and transportation (e.g. ice roads), especially in the context of future climate scenarios.

加拿大的湖泊是景观的主要组成部分，在该国的大部分地区都有冰雪覆盖。湖冰对气候变率很敏感，近年来湖冰状况发生的变化主要是通过模拟和卫星数据记录到的，因为加拿大的地面观测网到1990年代末基本上已不复存在。卫星图像对于监测结冰/关闭的时间非常有用，但是，它目前在确定冰厚方面的用途有限。湖冰模式为研究冰期和厚度过程以及气候对湖泊冰盖的影响变化提供了一个合适的选择。湖泊的空间方面使建模和监测工作复杂化。在湖面上，或在邻近的湖泊上，冰盖的形成或消融可能不是均匀的。这是由于冰的形成和衰变受到湖泊大小和形状以及上覆积雪的影响，这可能导致冰的厚度在空间上发生变化。