报告题目：Climate impacts on Alaska and Yukon hydrometeorology: an ongoing modeling effort guided by Indigenous Knowledge
Yifan is currently a Project Scientist in the Research Application Laboratory at National Center for Atmospheric Research. He received his Ph.D. in Civil Engineering in 2020 from University of Washington, and his bachelor’s degree in Hydraulic Engineering in 2015 from Tsinghua University. His work mostly focuses on quantifying the resilience of multi-scale freshwater systems under climate change through process-based modeling and data-driven machine learning techniques. He is actively engaged in cross-discipline collaboration with experts in electric power systems, biosphere and cryosphere, and knowledge co-production with Indigenous communities in Alaska.
Drastic hydrological changes in the arctic greatly impact local Alaskan communities, who largely rely on inland freshwater systems for subsistence fishing and transportation. As part of the US NSF Navigating the New Arctic program, this study actively engages indigenous participation, e.g., a project specific Indigenous Advisory Council, to help inform our research design, analysis, and deliverables. With Indigenous participation, we aim to provide representationally appropriate climate and hydrological information that is not only useful but usable to support decision-making concerning the mitigation and adaptation of climate crises. Here we will present how we conduct knowledge co-production and use Indigenous Knowledge to inform regional climate modeling. We specifically focused on coupled land and atmospheric modeling and developed an optimization framework to improve the hydrologic simulations in the Alaska and Yukon River Basin.