Doctoral Dissertation Research: Evaluation of a Subcanopy Solar Radiation Model Under Real-Sky Conditions with Field Validation Measurements

博士论文研究：通过现场验证测量评估真实天空条件下的亚冠层太阳辐射模型

• 批准号: 1830190
• 负责人: Stacy Nelson
• 金额: $ 1.4万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1830190&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Evaluation; Subcanopy

This doctoral dissertation research project will study the complex interactions among topography, forest cover, and sky conditions on solar insolation, thereby providing more accurate and higher-resolution estimates of solar radiation reaching the ground surface. The project will enhance the capabilities of researchers and practitioners to incorporate the effects of atmospheric conditions and vegetation in solar radiation models that are needed to advance research about surface solar radiation, heat flux, and ground and surface water temperature dynamics. In addition to evaluating a high-resolution, spatially explicit approach to estimating the amount of solar radiation penetrating forest canopies over extensive areas, this project will demonstrate methods for incorporating real-sky conditions in the modeling of stream temperatures. The integrative model to be developed by the doctoral student will have the potential to be a powerful, spatially explicit tool for demonstrating linkages among stream processes, land-management, and ecosystem outcomes that can be adapted to a broad range of natural and human-modified environments. As a Doctoral Dissertation Research Improvement award, this award also will provide support to enable a promising student to establish a strong independent research career. The project also will provide valuable experience in collaborative interdisciplinary research for another graduate student serving as a technician on this project.A recently developed subcanopy solar radiation modeling method that uses airborne LiDAR data and is integrated with an open-source, bare-earth solar radiation model demonstrated that light penetration through forest canopies could be estimated and used to produce high resolution estimates of subcanopy solar radiation for vegetated landscapes. That solar radiation model allows parameterization of the effects of atmospheric conditions where the solar radiation reaching the canopy surface is affected by atmospheric aerosols, water vapor, and clouds. The information needed to parameterize atmospheric conditions is not widely available for most locations in the United States, however. Although values representing uniformly clear or overcast sky conditions or published values of historic averages can be used, values more representative of real-sky conditions should improve the accuracy of the solar radiation estimates for specific locations and time periods. The doctoral student will build on these recent advances in solar radiation modeling and the increased availability of remotely sensed data by incorporating the combined effects of atmospheric conditions, forest canopies, and topography to improve estimates of subcanopy solar radiation in a Southern Appalachian headwater basin. The student will develop open-science workflows to compute the Linke Turbidity value and the clear sky index using existing methods and available satellite data for the parameterization of atmospheric conditions. She will test the validity of the solar radiation models with general and computed atmospheric condition parameters, and she will evaluate model accuracy with field measurements of subcanopy solar radiation. She also will determine whether the inclusion of real-sky and forest canopy conditions to estimate solar radiation improves the accuracy of steam temperature estimates.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

本博士论文研究项目将研究地形、森林覆盖和天空条件对太阳日照的复杂相互作用，从而对到达地面的太阳辐射提供更准确、更高分辨率的估计。该项目将提高研究人员和实践者将大气条件和植被影响纳入太阳辐射模型的能力，这些模型是推进有关地表太阳辐射、热通量以及地面和地表水温度动态的研究所必需的。除了评估一种高分辨率、空间明确的方法来估计穿透大面积森林冠层的太阳辐射量外，该项目还将展示将真实天空条件纳入河流温度建模的方法。博士生将开发的综合模型将有潜力成为一个强大的、空间明确的工具，用于展示河流过程、土地管理和生态系统结果之间的联系，这些联系可以适应广泛的自然和人为修改的环境。作为博士论文研究改进奖，该奖项还将提供支持，使有前途的学生建立一个强大的独立研究生涯。该项目还将为另一名作为该项目的技术人员的研究生提供跨学科合作研究的宝贵经验。最近开发的冠层下太阳辐射建模方法使用机载激光雷达数据，并与开源的裸地太阳辐射模型相结合，表明可以估计穿过森林冠层的光穿透，并用于对植被景观的冠层下太阳辐射进行高分辨率估计。该太阳辐射模式允许参数化大气条件的影响，其中到达冠层表面的太阳辐射受到大气气溶胶、水蒸气和云的影响。然而，在美国的大多数地区，用于参数化大气条件的信息并不广泛。虽然可以使用代表均匀晴朗或多云天空条件的值或历史平均值的公布值，但更能代表真实天空条件的值应能提高特定地点和时间段的太阳辐射估计的准确性。该博士生将在太阳辐射建模方面取得最新进展，并通过结合大气条件、森林冠层和地形的综合影响，增加遥感数据的可用性，以改进对阿巴拉契亚南部水源盆地冠层下太阳辐射的估计。学生将开发开放科学工作流程，使用现有方法和可用的卫星数据来计算林克浊度值和晴空指数，以参数化大气条件。她将用一般的和计算的大气条件参数来测试太阳辐射模型的有效性，并将通过对冠层下太阳辐射的实地测量来评估模型的准确性。她还将确定是否包括真实的天空和森林冠层条件来估计太阳辐射提高蒸汽温度估计的准确性。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。