GC086
Towards developing policy-relevant high-resolution regional earth system models
Session ID#: 83699
Session Description:
This session focuses on exchanging ideas and progress in regional earth system modeling, data preparation, and policy-relevant application efforts. Over the past decade or so, regional earth system modeling is a fast emerging and rapidly growing research endeavor. The entire research and stake-holder communities are facing great challenges and opportunities. Challenges exist in understanding physical, chemical, biological, and human processes across multiple spatiotemporal scales and in processing big data from remote sensing, in-situ observations, decision-making, ensemble simulations, and comprehensive modeling output. Currently, we are lacking an adequate understanding of the coupling mechanisms and our projections of future changes are still at an exploratory stage. As a grand challenge in global change studies, therefore, it is a top priority to develop high-resolution regional earth system models that are capable of producing policy-relevant outputs for regional climate change adaption and mitigation decisions.
Index Terms:
1622 Earth system modeling [GLOBAL CHANGE]
1637 Regional climate change [GLOBAL CHANGE]
4329 Sustainable development [NATURAL HAZARDS]
6309 Decision making under uncertainty [POLICY SCIENCES & PUBLIC ISSUES]
Primary Convener: Zong-Liang Yang, University of Texas at Austin, Austin, TX, United States
Conveners: Xing Yuan, Nanjing University of Information Science and Technology, School of Hydrology and Water Resources, Nanjing, China, Baozhang Chen, State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, Beijing, China and JP Tang, Nanjing University, Nanjing, China
Primary Liaison: Zong-Liang Yang, Univ Texas Austin, Austin, TX, United States
Toward developing a high-resolution regional land surface eco-hydrological model for global change adaptation (532375)
Xing Yuan, NUIST Nanjing University of Information Science and Technology, School of Hydrology and Water Resources, Nanjing, China, Peng Ji, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, Yang Jiao, NUIST Nanjing University of Information Science and Technology, School of Hydrology and Water Resource, Nanjing, China and Enda Zhu, Insititute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Attribution of human influence on extreme precipitation characteristics in the South China Pearl River Delta region. (532967)
Rui Zhao1, Chi-Yung Tam2, Jilong Chen2 and Sai-ming Lee3, (1)Chinese University of Hong Kong, Earth System Science, Sha Tin, Hong Kong, (2)Chinese University of Hong Kong, Earth System Science, Hong Kong, China, (3)Hong Kong Observatory, Kowloon, Hong Kong
High-resolution Simulations of a Hot-and-polluted Event with Detailed Local Climate Zone Information over the Pearl River Delta in South China (536839)
Chi-Yung Tam1, Steve H.L. Yim2, Junwen Chen3, Meng Cai4, Ran Wang4, Xinwei Li5, Chao Ren5 and Peng Gao6, (1)Chinese University of Hong Kong, Earth System Science, Hong Kong, China, (2)The Chinese University of Hong Kong, Geography and Resource Management; Institute of Environment, Energy and Sustainability; Stanley Ho Big Data Decision Analytics Research Centre, Hong Kong, Hong Kong, (3)Chinese University of Hong Kong, Institute of Environment, Energy and Sustainability, Hong Kong, Hong Kong, (4)Chinese University of Hong Kong, School of Architecture, Hong Kong, Hong Kong, (5)University of Hong Kong, Faculty of Architecture, Hong Kong, Hong Kong, (6)Meteorological Bureau of Liupanshui, Guizhou, China, Guizhou, China
Integrated Coastal Modeling of Human and Earth System Processes in the Mid-Atlantic Region (Invited) (538211)
Ian Kraucunas1, L. Ruby Leung1, Phillip J. Wolfram Jr2, Dave Judi1 and John D Moulton3, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)LANL, LOS Alamos, NM, United States, (3)Los Alamos National Laboratory, Applied Mathematics and Plasma Physics Group, Los Alamos, NM, United States
Develop the Plant Hydrodynamics in the Noah-MP Land Surface Model (559711)
Lingcheng Li1, Zong-Liang Yang2, Ashley M Matheny3, Hui Zheng4, Sean C Swenson5, David M Lawrence6, Michael Barlage6 and Binyan Yan1, (1)University of Texas at Austin, Austin, TX, United States, (2)University of Texas at Austin, Center for Integrated Earth System Science, Austin, TX, United States, (3)University of Texas at Austin, Department of Geological Sciences, Jackson School of Geosciences, Austin, TX, United States, (4)Chinese Academy of Sciences, Institute of Atmospheric Physics, Beijing, China, (5)NCAR, Boulder, CO, United States, (6)National Center for Atmospheric Research, Boulder, CO, United States
What can we expect from multi-sensor data assimilation for hydrological simulation? (569795)
Wen-Ying Wu, University of Texas at Austin, Geological Sciences, Austin, TX, United States, Zong-Liang Yang, University of Texas at Austin, Austin, TX, United States, Long Zhao, Southwestern University, School of Geographical Sciences, Chongqing, China, Peirong Lin, University of Texas, Austin, TX, United States and Jingjing Liang, Insititute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Continental-scale land surface multi-parameterization inter-comparison experiments (625637)
Hui Zheng, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, Zong-Liang Yang, Univ Texas Austin, Austin, TX, United States, Wen-Ying Wu, University of Texas at Austin, Geological Sciences, Austin, TX, United States and Peirong Lin, University of Texas, Austin, TX, United States
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