GC012
Advances in the Integrated Water Continuum through Bridging Atmospheric-Terrestrial-Riverine-Coastal Systems
Session ID#: 252806
Session Description:
This session delves into the integrated water continuum across atmospheric, terrestrial, riverine, and coastal domains, investigating both hydrological cycles and their complex interactions with biogeochemical and energy cycles. We invite studies exploring water movement through precipitation, soil-plant hydraulics, groundwater dynamics, wetlands, river networks, and coastal interfaces using multi-scale approaches that integrate field observations, remote sensing, and computational modeling. Topics include ecohydrological processes across diverse biomes, extreme event impacts, watershed management strategies, and interdisciplinary approaches that quantify feedback mechanisms between system components. By bridging perspectives from atmospheric science, hydrology, ecology, biogeochemistry, and coastal science, this session aims to advance understanding of water's critical role in Earth system functioning under environmental change. We welcome empirical, theoretical, and modeling research that applies emerging technologies including machine learning to capture these interconnected processes from local to global scales and develop interdisciplinary approaches for global environmental decision-making, furthering our holistic understanding of complete water continuum
Co-Sponsor(s):
Index Terms:
1402 - Critical Zone [CRITICAL ZONE]
1631 Land/atmosphere interactions [GLOBAL CHANGE]
1813 Eco-hydrology [HYDROLOGY]
1817 Extreme events [HYDROLOGY]
Primary Convener: Dr. Lingcheng Li, PhD, Pacific Northwest National Laboratory, Richland, WA, United States
Conveners: Zong-Liang Yang, University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States, Li Dan, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; Inst. of Atmospheric Physics, Beijing, China and Shiqin Xu, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Student/Early Career Convener: Lele Shu, Pennsylvania State University, University Park, PA, United States
Enhancing SWAT with mechanistic plant hydraulics: development and application in the Hanjiang River Basin (1861453)
Dr. Lingcheng Li, PhD1, Quan Zhang Sr2, Xiaoqiang Wei2 and Boyu Zhang2, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Wuhan University, Wuhan, China
Uncertainty analysis of global meteorological drought in CMIP6 projections (1866631)
Qing Niu1, Dunxian She1, Jun Xia1, Qin Zhang2, Yu Zhang3 and Tianyue Wang1, (1)Wuhan University, State Key Laboratory of Water Resources Engineering and Management, Wuhan, China, (2)Changjiang River Scientific Research Institute, Changjiang Water Resources Commission, Wuhan, China, (3)Beijing Normal University, College of Water Sciences, Beijing, China
Compound Flooding in Deltaic Landscapes: Lessons from Hurricane Ida with a Coupled Hydrological–Ocean Model (1885659)
Yixuan Wang1, Z. George Xue2, Daoyang Bao1, Xiaochen Zhao3 and Ziyan Lei4, (1)Louisiana State University, Oceanography and Coastal Sciences, Baton Rouge, LA, United States, (2)Louisiana State University, Department of Oceanography and Coastal Sciences, Baton Rouge, LA, United States, (3)Louisiana State University, Department of Oceanography & Coastal Sciences, Baton Rouge, United States, (4)Louisiana State University, Oceanography and Coastal Sciences, Baton Rouge, United States
A Water-Carbon-Economic Model Coupling System Dynamics and InVEST for Wuhan’s Sustainability Assessment (1910637)
Yixuan Diao1, Jun Xia1, Qianjin Dong1, Qiting Zuo2, Mengyun Xie3, Xiaofeng Peng1 and Long Jiang4, (1)Wuhan University, State Key Laboratory of Water Resources Engineering and Management, Wuhan, China, (2)Zhengzhou University, School of Water Conservancy and Transportation, Zhengzhou, China, (3)Wuhan University, School of Urban Design, Wuhan, China, (4)Hohai University, College of Hydrology and Water Resources, Nanjing, China
Beyond Boundaries: Dynamically 2-Way Coupled Hydrology–Ocean Models for Coastal Hazard Forecasting Across the LEO Continuum (Invited) (1948252)
Z. George Xue, Louisiana State University, Department of Oceanography and Coastal Sciences, Baton Rouge, LA, United States, Daoyang Bao, Louisiana State University, Oceanography and Coastal Sciences, Baton Rouge, LA, United States, Xiaochen Zhao, Louisiana State University, Department of Oceanography & Coastal Sciences, Baton Rouge, United States and John C Warner, U.S. Geological Survey, Falmouth, United States
Accounting for Salt Stress and Osmoregulation Improves the Predictability of Carbon, Water, and Energy Fluxes in Mangrove Ecosystems (1960705)
Ashley M Matheny1, Maria Ulatowski2, Saverio Perri3, Ken W. Krauss4, Ruth Reef5, Justine E.C. Missik6, Gil Bohrer6, Suvan Anthony Cabraal1, Mazen Nakad7, Annalisa Molini8, Augustine Nwokoye9 and Matteo Detto10, (1)University of Texas at Austin, Department of Earth and Planetary Sciences, Jackson School of Geosciences, Austin, TX, United States, (2)University of Texas at Austin, Department of Earth and Planetary Sciences, Jackson School of Geosciences, Austin, United States, (3)Princeton University, High Meadows Environmental Institute, Princeton, United States, (4)Louisiana Universities Marine Consortium, Chauvin, United States, (5)Monash University, Melbourne, Australia, (6)The Ohio State University, Department of Civil, Environmental and Geodetic Engineering, Columbus, United States, (7)Duke University, Civil and Environmental Engineering, Durham, NC, United States, (8)Tulane University, Department of River-Coastal Science & Engineering, New Orleans, United States, (9)Khalifa University, Civil Infrastructure and Environmental Engineering, Abu Dhabi, United Arab Emirates, (10)Princeton University, Princeton, United States
Integrating coupled hillslope hydrology and ecosystem modeling with multi-scale observations to understand tropical forest dynamics (1985652)
Dr. Lingcheng Li, PhD1, Yilin Fang2, Robinson I Negron Juarez3, Gilberto Pastorello4, Niro Higuchi5, Adriano Jose Nogueira Lima6, Nathan McDowell7 and L. Ruby Leung1, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Battelle, Pacific Northwest National Laboratory, Richland, United States, (3)Lawrence Berkeley Natl Lab, Berkeley, United States, (4)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (5)INPA National Institute of Amazonian Research, Forest Management, Manaus, Brazil, (6)National Institute for Amazon Research (INPA), Forest Management Laboratory, Manaus, Brazil, (7)Pacific Northwest National Laboratory, Richland, United States
The Role of Regional Ocean–Atmosphere Coupling in Simulating the 2020 Extreme Mei-yu Event (1988253)
Kai Li1, Liwei Zou2, Li Dan3, Hui Zheng, Zhongfeng Xu5, Jianping Tang6, Prof. Jing Peng, PhD7, Fuqiang Yang1 and Zong-Liang Yang8, (1)Institute of Atmospheric Physics, Chinese Academy of Sciences, CAS Key Laboratory of Regional Climate and Environment for Temperate East Asia, Beijing, China, (2)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (3)Inst. of Atmospheric Physics, Beijing, China, (4)Key Lab of Regional Climate-Environment for Temperate East Asia (RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (5)Nanjing University, School of Atmospheric Sciences, Nanjing, China, (6)Institute of Atmospheric Physics, RCE-TEA, Beijing, China, (7)University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States
Advances in energy and hydrological processes of the AVIM land surface model through Machine Learning and Data Assimilation (1992088)
Fuqiang Yang, Institute of Atmospheric Physics, Chinese Academy of Sciences, CAS Key Laboratory of Regional Climate and Environment for Temperate East Asia, Beijing, China, Li Dan, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, Younong Li, Yunnan University, Kunming, China, Kai Li, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, China and Wei Pan, Organization Not Listed, Washington, DC, United States
Direct and indirect effects of spring phenology on forest transpiration (1993903)
Lvlv Wang, Wuhan university, Wuhan, China, Dunxian She, Wuhan University, School of Water Resources and Hydropower Engineering, Wuhan, China, Yuting Yang, Tsinghua University, State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Beijing, China, Lin Meng, Vanderbilt University, Dept. of Earth & Environmental Sciences, Nashville, United States and Jun Xia, Wuhan University, State Key Laboratory of Water Resources Engineering and Management, Wuhan, China
