Collaborative Research: Toward a Circumarctic Lakes Observation Network (CALON)

科学的目标和方法，解决智力的研究价值是：（1）扩大现有的湖泊监测站点在北方阿拉斯加通过开发一个网络的区域代表性湖泊沿着环境梯度，我们将收集基线数据，以评估当前的物理，化学和生物湖泊的特点。 这将使项目科学家能够进行空间和时间比较，以确定温度升高、云量和降水模式变化、永久冻土退化以及人类对湖泊的直接影响的影响;（分层）湖泊监测计划，从51个湖泊收集基本数据，同时对一部分湖泊进行更深入的监测;（3）通过用地面测量数据校准和验证卫星图像，提供关键指标的区域比例和外推;（4）制定和执行标准化协议，以便能够进行站点间比较，并为扩大到泛北极网络做好准备。针对上述研究的广泛影响的教育/外联目标是：（1）纳入土著人对湖泊物理和生物特征及变化的观察。将通过土著和地方组织开发和提供交流信息的创新互动方法。将向伊努皮亚特的学生提供监测湖泊和饮用水质量的科学和技术培训;（2）在延迟容忍网络（DTN）架构的基础上开发一个示范监测网络，并将该网络与研究中心、土著社区和其他电力和连通性受到挑战的环境连接起来;（3）与A-CADIS一起开发和完善数据管理、可视化和存档活动;（4）为初入北极的研究者提供北极科学的介绍。

The scientific goals and methods that address the intellectual merits of the research are: (1) Expand on existing lake monitoring sites in northern Alaska by developing a network of regionally representative lakes along environmental gradients from which we will collect baseline data to assess current physical, chemical, and biological lake characteristics. This will allow the project scientists to make spatial and temporal comparisons to determine the impact of warmer temperatures, changing cloud cover and precipitation patterns, permafrost degradation, and direct human impacts on lakes; (2) Implement a multiscale (hierarchical) lake instrumentation scheme such that basic data is collected from 51 lakes, while a subset of lakes are more intensively instrumented; (3) Provide regional scaling and extrapolation of key metrics through calibration and validation of satellite imagery with ground measurements; and (4) Develop and implement standardized protocols to enable inter-site comparison and to prepare for expansion towards a pan-Arctic network. The education/outreach goals that address the broader impacts of the research outlined above are: (1) Incorporate indigenous observations of lake physical and biological characteristics and changes. Innovative interactive methods of sharing information will be developed and made available through native and local organizations. Scientific and technical training will be provided to Iñupiat students for monitoring lake and drinking water quality; (2) Develop a demonstration monitoring network based on the Delay Tolerant Network (DTN) architecture and link this network to research centers, indigenous communities, and other power- and connectivity-challenged environments; (3) Develop and refine data management, visualization, and archiving activities with A-CADIS; and (4) Provide an introduction to Arctic science for several beginning investigators.