CAREER: Integrating field geomorphology, remote sensing, undergraduate education, and modelling to improve understanding of Arctic hydrology

职业：整合野外地貌学、遥感、本科教育和建模，以提高对北极水文的了解

• 批准号: 1748653
• 负责人: Colin Gleason
• 金额: $ 54.24万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-02-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1748653&HistoricalAwards=false
• 关键词: CAREER; Integrating; field; geomorphology; remote

The Arctic is undergoing rapid changes as this sensitive region responds to altered energy and water transport at the global scale, deeply affecting its local communities, ecosystems, and water cycle. One of the best ways to catalog and understand these changes is through the study of Arctic rivers. Rivers are an excellent indicator of overall Arctic change as the water in the river at any given time (its "discharge") is a reflection of all of the other components of the water and energy cycles: precipitation, evaporation, and groundwater movements. However, logistical difficulties and shifting international priorities have resulted in a steep decline in gauge monitoring network. Likewise, the unique geomorphology (the way rivers shape and are shaped by the landscape) of Arctic rivers is relatively understudied. Without advances in open source data and understanding of Arctic rivers we lack the ability to assess recent Artic changes that are affecting citizens and ecosystems alike, and our ability to accurately predict the future climate and water resources of the Arctic is greatly impaired.Therefore, this project seeks an unprecedented accounting of the pan-Arctic hydrologic cycle built from the river up. The project will first develop the basic open-source river data needed to assess recent changes in Arctic hydrology and then use these data to catalog and understand the state of the Arctic's water. Specifically, the project will couple the recent explosion in big-data remote sensing and specific remote sensing discharge estimation techniques with classic fluvial geomorphology to estimate discharge for every Arctic river wider than 150m from 1984 to present using NASA's Landsat family of satellites. This remotely sensed Arctic river assessment will be founded upon a backbone of detailed fieldwork as designed and executed by undergraduates at UMass Amherst in a new program: Integrating Geosciences and Engineering in the Arctic (IGEA). IGEA participants will design and lead fieldwork intended to deepen understanding of unique Arctic geomorphology, and this information will be absorbed to improve the discharge estimates made from remote sensing. IGEA students will design field experiments in the spring semester as juniors, perform Arctic fieldwork in the summer after their junior year, and then analyze their data and train the next cohort of participants in the fall of their senior year. Undergraduates are purposefully drawn from two different disciplines, Engineering and Geosciences, to address disciplinary siloing at the undergraduate level and to train, teach, and inspire the next generation of interdisciplinary thinkers through this immersive Arctic research program. Finally, the IGEA-informed remotely sensed discharge data will be used to calibrate an open source global hydrology model, integrating the other components of this project to reach a fuller understanding of the entire Arctic system achieved through improved process-based understanding of Arctic rivers.

随着该敏感地区对全球范围的能源和水运输的反应，北极正在迅速发生变化，对其当地社区，生态系统和水周期产生了深远的影响。分类和理解这些变化的最佳方法之一是通过研究北极河流。河流是整体北极变化的绝佳指标，因为在任何给定时间的河水（其“排出”）是水和能量周期的所有其他组成部分的反映：降水，蒸发，蒸发和地下水运动。但是，后勤困难和转移国际优先事项导致量规监视网络的急剧下降。同样，北极河流的独特地貌（河流形状和由景观形状）相对予以研究。在没有开源数据和对北极河流的理解方面的情况下，我们缺乏评估影响公民和生态系统的最新货币变化的能力，并且我们有能力准确预测北极的未来气候和水资源的能力受到极大的损害。因此，该项目寻求了一个前所未有的水平化循环的泛滥的会计。该项目将首先开发评估北极水文学最新变化的基本开源河流数据，然后使用这些数据来分类并了解北极水的状态。具体而言，该项目将将最近在大数据遥感和特定的遥感放电估算技术中与经典的河流地貌学爆炸与从1984年的每条北极河更宽的每条北极河的排放量，并使用NASA的Landsat landsat卫星家族来估算出排放。这种远程感知的北极河评估将建立在由UMass Amherst在新计划中设计和执行的详细野外工作的骨架上：在北极（IGEA）集成地球科学和工程。 IGEA参与者将设计和领导现场工作，旨在加深对独特的北极地貌学的理解，并将吸收这些信息以改善遥感的放电估计值。 IGEA学生将在春季学期设计实验实验，并在大三后的夏季进行北极野外工作，然后分析他们的数据并在高年级秋季培训下一个参与者。本科生有目的地从两个不同的学科，工程和地球科学中汲取灵感，以解决本科级别的纪律筒仓，并通过这项沉浸式北极研究计划训练，教，教，教学和启发下一代跨学科思想家。最后，IGEA信息远程感知的排放数据将用于校准开源全球水文学模型，集成了该项目的其他组件，以更深入地了解通过改进基于过程的北极河流来实现的整个北极系统。

项目成果

Combining Optical Remote Sensing, McFLI Discharge Estimation, Global Hydrologic Modeling, and Data Assimilation to Improve Daily Discharge Estimates Across an Entire Large Watershed

• DOI: 10.1029/2020wr027794
• 发表时间: 2021-03-01
• 期刊: WATER RESOURCES RESEARCH
• 影响因子: 5.4
• 作者: Ishitsuka, Yuta;Gleason, Colin J.;Pavelsky, Tamlin M.
• 通讯作者: Pavelsky, Tamlin M.

Remote Sensing of River Discharge: A Review and a Framing for the Discipline

• DOI: 10.3390/rs12071107
• 发表时间: 2020-04-01
• 期刊: REMOTE SENSING
• 影响因子: 5
• 作者: Gleason, Colin J.;Durand, Michael T.
• 通讯作者: Durand, Michael T.

Mapping and characterizing Arctic beaded streams through high resolution satellite imagery

• DOI: 10.1016/j.rse.2022.113378
• 发表时间: 2023-02
• 期刊: Remote Sensing of Environment
• 影响因子: 13.5
• 作者: M. Harlan;C. Gleason;Jonathan A. Flores;T. Langhorst;Samapriya Roy

Inversion of river discharge from remotely sensed river widths: A critical assessment at three-thousand global river gauges

• DOI: 10.1016/j.rse.2023.113489
• 发表时间: 2023-03
• 期刊: Remote Sensing of Environment
• 影响因子: 13.5
• 作者: P. Lin;D. Feng;C. Gleason;M. Pan;C. Brinkerhoff;X. Yang;H. Beck;Renato Prata de Moraes Frasson