GC23A:
Advances in Atmosphere and Land Modeling for Improved Understanding of the Hydrologic Cycle at the Watershed Scale II Posters


Session ID#: 9028

Session Description:
Understanding the water cycle at watershed scale is important for regional planning and development. Many recent developments in atmosphere and land models (and coupling strategies in Earth System Models) are relevant to hydrology at this scale. These include adding neglected representations of natural and human processes, improvements to existing treatments, better computational methods, increased model resolution and multi-resolution or scalable modeling frameworks. Emerging methods for uncertainty quantification, experimental design of simulations, and data analytics can also be used to better characterize and understand model behavior.

 

We invite contributions focused on; (1) Improvements to atmosphere and land models showing strong traceable impacts on key aspects of the water cycle (e.g., precipitation, soil moisture, snowpack, freshwater supply); (2) New modeling paradigms (e.g., tagging of water, coupled human-earth system modeling, ensemble simulations) to explore the hydrologic cycle; and (3) New data products or analysis techniques used to challenge or constrain model behavior.

Primary Convener:  Philip J Rasch, Pacific Northwest National Laboratory, Richland, WA, United States
Convener:  L. Ruby Leung, Pacific Northwest National Laboratory, Richland, WA, United States
Chairs:  L. Ruby Leung, Pacific Northwest National Laboratory, Richland, WA, United States and Philip J Rasch, Pacific Northwest National Laboratory, Richland, WA, United States
OSPA Liaison:  Philip J Rasch, Pacific Northwest National Laboratory, Richland, WA, United States
Co-Organized with:
Global Environmental Change, and Atmospheric Sciences

Cross-Listed:
  • A - Atmospheric Sciences
  • EP - Earth and Planetary Surface Processes
  • H - Hydrology
  • SI - Societal Impacts and Policy Sciences
Index Terms:

1807 Climate impacts [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1879 Watershed [HYDROLOGY]
3337 Global climate models [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Examining the impact of land cover change for biofuel production on the Midwestern U.S. hydroclimate using a regional climate model. (60548)
Keith J Harding, University of Minnesota Twin Cities, Minneapolis, MN, United States, Tracy E Twine, University of Minnesota Twin Cities, Department of Soil, Water, and Climate, St. Paul, United States, Andy VanLoocke, Iowa State University, Ames, IA, United States and Justin E Bagley, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Influence of atmospheric forcing parameters on land surface simulation (64676)
Hara Prasad Nayak, Manabottam Mandal and Anwesha Bhattacharya, Indian Institute of Technology Kharagpur, Kharagpur, India
Vegetation regulates streamflow intra-annual variability by adapting to climate variations (66228)
Sheng Ye1, Hong-Yi Li2, Shuai Li3, L. Ruby Leung2, Yonas Demissie4, Qihua Ran1 and Guenter Bloeschl5, (1)Zhejiang University, Hangzhou, China, (2)Pacific Northwest National Laboratory, Richland, WA, United States, (3)Wuhan University of Technology, Wuhan, China, (4)Washington State University, Department of Civil and Environmental Engineering, Richland, WA, United States, (5)Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Karlsplatz 13/223, Vienna, Austria
Regulations of irrigation on regional climate in the Heihe watershed, China, and its implications to water budget (71399)
Xuezhen Zhang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Water Storage in Reservoirs Built from 1975 to 2012 Significantly Altered the Observed Runoff and Calculated Evapotranspiration Trends over China (73216)
Yuna Mao, Beijing Normal University, School of Environment, Beijing, China, Kaicun Wang, Beijing Normal University, Beijing, China, Xiaomang Liu, IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China and Liu Changming, Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Large-scale Modeling of Inundation in the Amazon Basin (75365)
Xiangyu Luo1, Hong-Yi Li2, Augusto Getirana3, L. Ruby Leung2 and Teklu K Tesfa2, (1)University of Pittsburgh, Department of Civil and Environmental Engineering, Pittsburgh, PA, United States, (2)Pacific Northwest National Laboratory, Richland, WA, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States
Application of a new hydraulic conductivity model to simulate rapid groundwater fluctuations in the Eel River watershed in Northern California (70810)
Michail D. Vrettas, University of California Berkeley, Berkeley, CA, United States and Inez Y Fung, University of California Berkeley, Berkeley, United States
When Does a Flood Event Occur? – A Data-driven Analysis on the Seasonality of Floods over the Contiguous United States (79147)
Jiali Guo, Organization Not Listed, Washington, DC, United States; China Three Gorges University, Yichang, China
Expanding the performance curve of different weather data sources for hydrologic modeling in central Texas: a comparison of ground observations and the Climate Forecast System Reanalysis as watershed model inputs (83612)
Daniel R Fuka1, Amy Collick2, Daniel Auerbach3, Peter J A Kleinman4, Moges Berbero Wagena5, Andrew Sommerlot5, Daren Harmel6, Zach M Easton1,2 and Easton Hydrology and Water Quality Simulation Lab, (1)Virginia Polytechnic Institute and State University, Blacksburg, VA, United States, (2)USDA ARS, Pendleton, OR, United States, (3)EPA, DC, United States, (4)USDA-ARS Pasture Systems and Watershed Management Research Unit, University Park, PA, United States, (5)Virginia Tech, Blacksburg, VA, United States, (6)USDA ARS, Fort Collins, CO, United States
Deriving New Topography-based Global Datasets for Land Surface Modeling (84168)
Teklu K Tesfa and L. Ruby Leung, Pacific Northwest National Laboratory, Richland, WA, United States
Transregional Collaborative Research Centre 32: Patterns in Soil-Vegetation-Atmosphere-Systems (84804)
Insa Thiele-Eich, University of Bonn, Meteorological Institute, Bonn, Germany, Clemens Simmer, University of Bonn, Bonn, Germany and Collaborative Research Center TR32
Why Does the Leeward Side of Mt. Tamalpais Experience a Climatological Precipitation Maximum? (86072)
Nicholas Christen1, David P Dempsey1 and Alexander Stine2, (1)San Francisco State University, San Francisco, CA, United States, (2)San Francisco State University, Earth & Climate Sciences, San Francisco, United States

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