H022
Advancing Land Surface Models for Hydrological and Environmental Applications

Session ID#: 157024

Session Description:
Land surface modeling has become an important means for obtaining hydrological and environmental data. But estimates of land surface models are subject to large uncertainties due to complex model physics which are often uncalibrated and may be scale dependent.  Therefore, improving land surface models require both better representation of near-surface processes and effective use of observations at different scales to constrain model estimates.  This session will highlight the latest developments and achievements for modeling land surface processes.  We encourage contributions in: (1) model developments and improvements that address pressing issues facing hydrology and earth science communities; (2) use of observations of different sources and types for improving simulation results through traditional and innovative techniques including data assimilation, machine learning and big data analytics, (3) diagnosis and analysis that provide insights on model performance and directions for future model improvement; and (4) development of meteorological forcing and other datasets for land surface modeling.
Index Terms:

1804 Catchment [HYDROLOGY]
1836 Hydrological cycles and budgets [HYDROLOGY]
1840 Hydrometeorology [HYDROLOGY]
1847 Modeling [HYDROLOGY]

Primary Convener:  Bailing Li, University of Maryland College Park, College Park, MD, United States
Conveners:  Jifu Yin, NOAA College Park, NESDIS-STAR/University of Maryland CICS, College Park, MD, United States, Sujay V Kumar, NASA Goddard Space Flight Center, Greenbelt, United States and Guo-yue Niu, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States
 
Constructing a model intercomparison approach to improve land surface model river discharge simulations (1044874)
Aulia Febianda Anwar Tinumbang1, Kazuaki Yorozu2, Yasuto Tachikawa2 and Yutaka Ichikawa1, (1)Kyoto University, Department of Urban Management, Graduate School of Engineering, Kyoto, Japan, (2)Kyoto University, Department of Civil and Earth Resources Engineering, Graduate School of Engineering, Kyoto, Japan
 
The Impact of Crop Rotation and Spatially Varying Crop Parameters in the E3SM Land Model (ELMv2) (1049247)
Eva Sinha1, Ben P Bond-Lamberty1, Katherine V Calvin2, Beth Drewniak3, Gautam Bisht1, Carl Bernacchi4, Bethany Blakely5,6 and Caitlin Moore7, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Joint Global Change Research Institute, Richland, WA, United States, (3)Argonne National Laboratory, Argonne, IL, United States, (4)University of Illinois at Urbana-Champaign, Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, United States, (5)University of Illinois at Urbana Champaign, Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, United States, (6)Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, United States, (7)The University of Western Australia, School of Agriculture and Environment, Perth, Australia
 
Simulated Groundwater Recharge Trends over Africa for the 21st Century. (1051206)
Bamidele J Oloruntoba1, Bagher Bayat2, Carsten Montzka3, Stefan J Kollet3, Harry Vereecken4 and Harrie-Jan Hendricks Franssen5, (1)Forschungszentrum Jülich GmbH, Institute of Bio-Geosciences, Agrosphere (IBG-3), Jülich 52428, Germany, (2)Forschungszentrum Jülich, Institute of Bio- and Geosciences, Agrosphere (IBG-3), Jülich, Germany, (3)Forschungszentrum Jülich, Institute of Bio and Geosciences (Agrosphere, IBG-3), Jülich, Germany, (4)Forschungszentrum Julich, Institute of Bio and Geosciences (Agrosphere, IBG-3), Julich, Germany, (5)Forschungszentrum Jülich GmbH, Julich, Germany
 
Improving the Performance of the Noah-MP Model for Simulating Water and Energy Transfer Processes in Partially Mulched Irrigated Croplands by Jointly Considering the Effect of Partial Plastic Mulch Cover and Dynamic Irrigation (1051215)
Shujing Qin, School of water resources and hydropower engineering, Wuhan, China, Lei Cheng, Wuhan University, School of Water Resources and Hydropower Engineering, Wuhan, China, Lu Zhang, CSIRO Land and Water, Canberra, Australia and Sien Li, China Agricultural University, Center for Agricultural Water Research in China, Beijing, China
 
The Simulation and Subseasonal Forecasting of Hydrological Variables: Insights from a Simple Water Balance Model (Invited) (1051762)
Randal D Koster, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, United States, Anthony DeAngelis, Science Systems and Applications, Inc., Lanham, United States, Qing Liu, Science Systems and Applications, Inc., Lanham, MD, United States, Siegfried D Schubert, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Andrea Molod, Global Modeling and Assimilation Office, NASA GSFC, Greenbelt, MD, United States
 
Estimating river discharge from data assimilation of swath altimetry into a regional hydrodynamic model (1054941)
Hahn Chul Jung, Korea Institute of Ocean Science and Technology, Busan, South Korea and Yeosang Yoon, NASA Goddard Space Flight Center, Greenbelt, United States; Science Applications International Corporation, Reston, United States
 
Archetypal River Corridor Terrain Models for Various Channel Types (1060309)
Anzy Lee1, Belize Arela Albin Lane1 and Gregory B Pasternack2, (1)Utah State University, Logan, UT, United States, (2)University of California Davis, Land, Air, and Water Resources, Davis, CA, United States
 
An extended kinematic-wave theory for infiltration in soils with declining porosity causing delayed perching (1062644)
Mohammad Afzal Shadab, The University of Texas at Austin, Institute for Geophysics, Austin, United States and Marc A Hesse, The University of Texas at Austin, Jackson School of Geosciences, Austin, United States
 
Tracking the effect of Lateral Flow on Transit Times using a water tracer model in WRF-Hydro (1063031)
Huancui Hu, Pacific Northwest National Laboratory (DOE), Richland, WA, United States, L. Ruby Leung, Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States, Francina Dominguez, University of Illinois at Urbana Champaign, Department of Atmospheric Sciences, Urbana, IL, United States, David Gochis, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, Xingyuan Chen, Pacific Northwest National Laboratory, Richland, WA, United States, Stephen P Good, Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States, Aubrey L Dugger, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, Laurel Larsen, University of California, Department of Geography, Department of Civil and Environmental Engineering, Berkeley, United States and Michael J Barlage, National Center for Atmospheric Research, Boulder, CO, United States
 
Using SEAS5 Seasonal Weather Forecasts for Regional Crop Yield Prediction in a Land Surface Modelling Approach (1084857)
Theresa Boas, Research Centre Juelich GmbH, Agrosphere Institute - IBG 3, Juelich, Germany, Heye R Bogena, Agrosphere Institute (IBG-3), Forschungszentrum Jülich, Jülich, Germany, Dongryeol Ryu, The University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia, Harry Vereecken, Forschungszentrum Julich, Institute of Bio and Geosciences (Agrosphere, IBG-3), Julich, Germany, Andrew William Western, University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia and Harrie-Jan Hendricks Franssen, Forschungszentrum Jülich GmbH, Julich, Germany
 
An Observation Constrained World Water Map of Water Scarcity Hotspots (1087432)
Niko Wanders1, Bram Droppers1,2, Jannis M Hoch1,3, Jonas Götte4, Barry Jaarsveld1, Myrthe Leijnse1, Alex Tait5 and Marc FP Bierkens1,6, (1)Utrecht University, Utrecht, Netherlands, (2)Wageningen University and Research Center, Wageningen, Netherlands, (3)Fathom, Bristol, United Kingdom, (4)University of Freiburg, Freiburg, Germany, (5)National Geographic Society, Washington, DC, United States, (6)Deltares, Delft, Netherlands
 
Mechanistic Drivers of Runoff Sensitivity to Temperature in the Community Land Model: A Study on the Upper Colorado River Basin (1089996)
Ahmed Elkouk, Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States, Yadu Pokhrel, Michigan State University, Department of Civil and Environmental Engineering, East Lansing, United States, Lifeng Luo, Michigan State University, Department of Geography, Environment, and Spatial Sciences, East Lansing, MI, United States, Liz Payton, Western Water Assessment, CIRES, University of Colorado, Boulder, CO, United States, Ben Livneh, University of Colorado at Boulder, Civil Environmental and Architectural Engineering, Boulder, United States and Yifan Cheng, National Center for Atmospheric Research, Boulder, CO, United States
 
Climatic and Anthropogenic Controls on Groundwater Dynamics in the Mekong River Basin (1091724)
Tamanna Kabir1, Yadu Pokhrel2 and Farshid Felfelani1,3, (1)Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States, (2)Michigan State University, Department of Civil and Environmental Engineering, East Lansing, United States, (3)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States
 
High Resolution VIC Calibration in California Forced by ERA5-WRF Downscaled and Bias-corrected Meteorology (1098280)
Lu Su, University of California Los Angeles, Los Angeles, CA, United States, Dennis P Lettenmaier, UCLA, Department of Geography, Los Angeles, CA, United States and Benjamin Bass, University of California Los Angeles, Atmoshperic and Oceanic Sciences, Los Angeles, United States
 
Scale-dependency of Lateral Groundwater Flow in Land Surface Models (1099031)
Tanjila Akhter and Yadu Pokhrel, Michigan State University, Department of Civil and Environmental Engineering, East Lansing, United States
 
Improving Streamflow Predictability with More Realistic Representations of Soil Dominated Processes over the Mississippi River Basin (1102675)
Jetal Agnihotri, University of Arizona, Tucson, AZ, United States, Ali Behrangi, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Ahmad Tavakoly, US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, United States, Matthew P Geheran, US Army Corps of Engineers, Coastal and Hydraulics Laboratory, Vicksburg, United States, Yuanhao Fang, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Patrick D Broxton, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States and Guo-yue Niu, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States
 
Requirements to measurements and auxiliary information for improvement and field validity of Pedo Transfer Functions for land surface models. (1105157)
Attila Nemes, Norwegian Institute of Bioeconomy Research, Oslo, Norway, Martine J van der Ploeg, Wageningen University, Wageningen, Netherlands, Aurore Degre, University of Liege, Gembloux, Belgium, Daniel Hirmas, University of California Riverside, Riverside, CA, United States, Michael Young, University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, TX, United States, John K Koestel, Agroscope, Soil Quality and Soil Use, Zurich, Switzerland and Quirijn de Jong van Lier, CENA, University of Sao Paulo, Piracicaba, Brazil
 
The Effect of Forest in Dampening the Diurnal Cycle on Land-atmosphere Interaction (1107435)
Yi-Shin Jang and Min-Hui Lo, National Taiwan University, Department of Atmospheric Sciences, Taipei, Taiwan
 
Where can we find unique landscapes regulated by hillslope moisture dynamics? (1109626)
Shuping Li, The University of Tokyo, Department of Civil Engineering, Tokyo, Japan and Dai Yamazaki, The University of Tokyo, Institute of Industrial Science, Tokyo, Japan
 
Land Surface Hydrological Modelling of the Mackenzie River Basin: Parametrization to Simulate Streamflow and Permafrost Dynamics Concurrently (1117436)
Mohamed Elshamy, University of Saskatchewan, Global Institute for Water Security and Center for Hydrology, Saskatoon, SK, Canada, Mohamed Abdelhamed, University of Saskatchewan, Global Institute for water security, Saskatoon, SK, Canada, John W Pomeroy, University of Saskatchewan, Centre for Hydrology, Saskatoon, SK, Canada, Alain Pietroniro, University of Calgary, Department of Civil Engineering, Calgary, AB, Canada and Bruce Davison, Environment and Climate Change Canada, National Hydrology Research Centre, Saskatoon, SK, Canada
 
Improving the Realism of ELM’s Hydrology by Implementing a Hillslope Hydrological Model (1118429)
Xueyan Zhang, University of Arizona, Tucson, AZ, United States, Yuanhao Fang, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Guo-yue Niu, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States and Xubin Zeng, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, United States
 
Interdecadal Terrestrial Hydrologic Changes in the Amazon River Basin (1121480)
Omid Bagheri, Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States and Yadu Pokhrel, Michigan State University, Department of Civil and Environmental Engineering, East Lansing, United States
 
Insights into spatiotemporal evolution of permafrost under climate change – hydrologic-land surface modelling in the Canadian subarctic (1123131)
Mohamed Abdelhamed, University of Saskatchewan, Global Institute for water security, Saskatoon, SK, Canada, Mohamed Elshamy, Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada, Saman Razavi, University of Saskatchewan, Saskatoon, SK, Canada and Howard S. Wheater, University of Saskatchewan, Centre for Hydrology and Global Institute for Water Security, Saskatoon, SK, Canada
 
Using Stable Water Isotope Data to Evaluate Opportunities for Improvement in Existing Land Surface Models (1124416)
Marja Haagsma, Oregon State University, Biological and Ecological Engineering, Corvallis, United States, Catherine Emily Finkenbiner, Oregon State University, Department of Biological & Ecological Engineering, Corvallis, OR, United States, David Noone, University of Auckland, Department of Physics, Auckland, New Zealand, Gabriel J Bowen, University of Utah, Salt Lake City, UT, United States, Christopher J Still, Oregon State University, Forest Ecosystems and Society, Corvallis, OR, United States and Stephen P Good, Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States
 
The role of spatial heterogeneity on land surface modeling of water and energy simulations (1126602)
Hongyi Li1, Lingcheng Li2, Gautam Bisht2, L. Ruby Leung3, Donghui Xu3, Dongyu Feng2, Dalei Hao3, Chang Liao3, Darren Engwirda4, Zeli Tan2 and Tian Zhou2, (1)University of Houston, Huston, United States, (2)Pacific Northwest National Laboratory, Richland, WA, United States, (3)Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States, (4)NASA GISS, New York City, United States
 
Assessing the impacts of tile drainage on hydrological cycle and crop growth in the U.S. Midwest agroecosystems (1127786)
Zewei Ma1, Kaiyu Guan2,3, Bin Peng3, Wang Zhou4, Robert F Grant5 and Ming Pan6, (1)University of Illinois at Urbana Champaign, College of Agricultural, Consumer and Environmental Sciences, Urbana, IL, United States, (2)University of Illinois at Urbana Champaign, Department of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, Urbana, United States, (3)University of Illinois at Urbana Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, (4)University of Illinois at Urbana Champaign, Department of Natural Resources and Environmental Sciences, Urbana, IL, United States, (5)University of Alberta, Department of Renewable Resources, Edmonton, AB, Canada, (6)Scripps Institution of Oceanography, UC San Diego, Center For Western Weather and Water Extremes, San Diego, United States
 
Modeling the impacts of wildfires on hydrologic response in the western US. (1128030)
Timothy M Lahmers1, Sujay V Kumar2, Shahryar Khalique Ahmad1, Thomas Holmes3 and Augusto Getirana2, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States
 
Hydrologic Signals in GNSS Geodesy and Their Implications for Advancing Hydrologic Models (1131738)
Qian Cao1, Ming Pan2, Ellen Knappe3, Alissa M White4, William Payton Gardner5, Zachary Harwood Hoylman6, Adrian A Borsa7, Donald F Argus8, Hilary R Martens9, Robert Hartman10, Anna Maria Wilson11, F Martin Ralph3, Rebecca O Bendick12 and Lia Joyce Lajoie13, (1)University of California San Diego, La Jolla, CA, United States, (2)Center for Western Weather and Water Extremes, San Diego, United States, (3)Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, United States, (4)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States, (5)University of Montana, Department of Geosciences, Missoula, MT, United States, (6)University of Montana, Montana Climate Office, Missoula, MT, United States, (7)Scripps Institution of Oceanography, University of California San Diego, La Jolla, United States, (8)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (9)California Institute of Technology, Pasadena, United States, (10)Robert K. Hartman Consulting Associates, Roseville, United States, (11)Scripps Institution of Oceanography, Center for Western Weather and Water Extremes (CW3E), La Jolla, CA, United States, (12)University of Montana, Geosciences, Missoula, MT, United States, (13)Colorado School of Mines, Golden, CO, United States
 
Intermittency on Soil Movement: the Role of Landscape Macro/Microtopography (1132821)
Thanos Papanicolaou, USDA -ARS, National Lab for Agriculture and the Environment, Ames, United States and Kenneth Wacha, USDA-ARS, National Laboratory for Agriculture and the Environment, Ames, IA, United States
 
Developing a Mixed-Form Richards Equation Solver in Noah-MP to Better Represent Infiltration of Surface Ponding, Runoff, and Soil Water Dynamics (1140827)
Guo-yue Niu, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States, Yuanhao Fang, Hohai University, College of Hydrology and Water Resources, Nanjing, China, Antonio Alves Meira Neto, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Jetal Agnihotri, University of Arizona, Tucson, AZ, United States and Bo Guo, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
 
Influence of Precipitation Forcing in Hydrological Simulation over Monsoon Asia (1140954)
Seulchan Lee, Sungkyunkwan University, Department of water resources, Suwon, Gyeonggi-do, Korea, Republic of (South), Jongmin Park, The Ohio State University, School of Environment and Natural Resources, Columbus, Ohio, United States, Jaehwan Jeong, Sungkyunkwan University, Center for Built Environment, Suwon, Gyeonggi-do, South Korea and Minha Choi, Sungkyunkwan University, School of Civil, Architecture Engineering & Landscape Architecture, Suwon, Gyeonggi-do, South Korea
 
Measurement and Modelling of Rainfall Partitioning Parameters for Five Different Fruit Plantations (1146242)
Chitra Shukla, Indian Institute of Technology Kharagpur, Kharagpur, India and Kamlesh Narayan Tiwari, Indian Institute of Technology Kharagpur, Department of Agricultural and Food Engineering, Kharagpur, India
 
Auto-calibration of a land surface and routing model over the Narmada and Yamuna River Basins (1147931)
Ved Prakash1, Manabendra Saharia1 and Augusto Getirana2, (1)Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India, (2)NASA Goddard Space Flight Center, Greenbelt, United States
 
Reproducing long-term sediment discharge with GeoWEPP in a steep watershed with forest recovery (1148222)
Norifumi Hotta1, Nobuaki Tanaka1, Gaku Nagaoka2 and Chris S Renschler3, (1)University of Tokyo, Bunkyo-ku, Japan, (2)University of Tokyo, Tokyo, Japan, (3)State Univ New York Buffalo, Buffalo, NY, United States
 
Representing Lateral Subsurface Flow within Unsaturated and Saturated Zone in the E3SM Land Model (1159173)
Han Qiu, Pacific Northwest National Laboratory, Richland, WA, United States
 
Optimization of soil parameters in the hydrological model and its impact assessment in agricultural drought estimation (1159445)
Arunav Nanda, Michigan State University, East Lansing, MI, United States, Ehsan Jalilvand, Michigan State University, Biosystem and Agricultural Engineering, East Lansing, MI, United States, Narendra N Das, Michigan State University, Civil and Environmental Engineering, East Lansing, United States; Michigan State University, Biosystem and Agricultural Engineering, East Lansing, United States, Konstantinos Andreadis, University of Massachusetts Amherst, Civil and Environmental Engineering, Amherst, United States, Susantha Jayasinghe, Asian Disaster Preparedness Center, SERVIR-Mekong, Bangkok, Thailand and Ix Hour, Mekong River Commission, Regional Flood and Drought Management Center, Phnom Penh, Cambodia
 
Using a New Groundwater Module in Noah-MP Land Surface Model to Improve Predictions of Low Flows During Drought (1160811)
Jing WANG, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
 
A Numerical Approach to Efficiently Model Groundwater Flow at High Spatial Resolutions Using the HydroBlocks Land Surface Model (1161051)
Daniel Guyumus1, Laura Torres Torres Rojas2, Chengcheng Xu2, Luiz Bacelar3 and Nathaniel W. Chaney4, (1)Duke University, Civil and Environmental Engineering, Durham, United States, (2)Duke University, Civil and Environmental Engineering, Durham, NC, United States, (3)Duke University, Durham, NC, United States, (4)Princeton University, Atmospheric and Oceanic Sciences, Princeton, United States
 
Uncertainty Due to Precipitation Phase Estimation Methods of Large-Scale Hydrological Predictions Under Climate Change (1166923)
Fuad Yassin1, John W Pomeroy1, Alain Pietroniro2 and Bruce Davison3, (1)University of Saskatchewan, Centre for Hydrology, Saskatoon, SK, Canada, (2)University of Calgary, Department of Civil Engineering, Calgary, AB, Canada, (3)Environment and Climate Change Canada, National Hydrology Research Centre, Saskatoon, SK, Canada
 
Advancements in RUC Land-Surface Model Implemented in the Unified Forecasting System (UFS) (1169440)
Tatiana G Smirnova, NOAA Global Systems Laboratory, Boulder, CO, United States, Anton Kliewer, Colorado State University, Cooperative Institute for Research in the Atmosphere @NOAA/OAR/ESRL Global Systems Lab, Boulder, CO, United States, Ming Hu, NOAA Earth System Research Laboratory, Boulder, United States, Siwei He, CIRES, Boulder, United States and Stan Benjamin, Retired, Boulder, United States
 
AquaCrop v7.0 Coupled within the NASA Land Information System for Regional Modelling and Data Assimilation over Agricultural Areas (Invited) (1172082)
Gabrielle J.M. De Lannoy1, Michel Bechtold2, Louise Busschaert3, Shannon de Roos3, Zdenko Heyvaert4, Sujay V Kumar5, Jonas Mortelmans2, Samuel Scherrer6, Maxime van den Bossche7, Dirk Raes3, Elias Fereres8, Margarita Garcia-Vila9, Pasquale Steduto10, Theodore Hsiao11, Lee Heng12 and Maher Salman13, (1)KU Leuven, Earth and Environmental Sciences, Heverlee, Belgium, (2)KU Leuven, Department of Earth and Environmental Sciences, Leuven, Belgium, (3)KU Leuven, Department of Earth and Environmental Sciences, Heverlee, Belgium, (4)KU Leuven, Earth and Environmental Sciences, Leuven, Belgium, (5)NASA Goddard Space Flight Center, Greenbelt, United States, (6)KU Leuven, Leuven, Belgium, (7)KU Leuven, VSC HPC, Leuven, Belgium, (8)IAS-CSIC and University of Cordoba, Cordoba, Spain, (9)University of Cordoba, Cordoba, Spain, (10)retired FAO, Italy, (11)retired UC Davis, Davis, United States, (12)IAEA International Atomic Energy Agency, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Vienna, Austria, (13)FAO, Italy, Italy
 
Importance of Process Resolution in Land Surface Models for Simulating Integrated Water Availability (1179420)
Moussa Guira, USGS Nebraska Water Science Center, Mitchell, NE, United States, Jesse Dickinson, USGS Arizona Water Science Center, Tucson, AZ, United States, John A Engott, California Water Science Center, Sacramento, United States, Wesley Zell, United States Geological Survey (USGS), Integrated Modeling and Prediction Division, Reston, VA, United States and Robert S. Regan, USGS, National Research Program, Baltimore, MD, United States
 
Assessing the effects of multiple soil physics parameterizations on continental scale soil moisture patterns. (1183630)
Antonio Alves Meira Neto, University of Arizona, Tucson, AZ, United States; University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Yuanhao Fang, Hohai University, College of Hydrology and Water Resources, Nanjing, China and Guo-yue Niu, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States
 
Assessing the Significance of Spatial Allocation and Resampling Algorithm of Landcover Input in Hydrometeorological Model (WRF-Hydro/Noah-MP) Simulating Watershed Responses (1187782)
Dong-Hyun Kim, San Diego State University, Department of Geography, San Diego, CA, United States, J. Michael Johnson, NOAA Affiliate, Lynker, Boulder, United States and Hilary K McMillan, San Diego State University, San Diego, CA, United States
 
A new process-oriented ensemble hydrological prediction system for flood prediction and water management in the US Pacific Northwest (1188680)
Andrew W Wood1, Josh Sturtevant2, Chris D Frans3, Naoki Mizukami4, Bart Nijssen5 and Jane Harrell3, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)Lynker, Boulder, United States, (3)US Army Corps of Engineers, Seattle, WA, United States, (4)National Center for Atmospheric Research, Boulder, United States, (5)University of Washington Seattle Campus, Civil and Environmental Engineering, Seattle, WA, United States
 
Representing human modifications to drained agricultural watersheds (1189477)
Laura C Bowling1, Charlotte I Lee1, Md. Sanoar Rahman2 and Keith Aric Cherkauer3, (1)Purdue University, Agronomy, West Lafayette, IN, United States, (2)Purdue University, West Lafayette, IN, United States, (3)Purdue University, Agricultural & Biological Engineering, West Lafayette, IN, United States
 
Coupling of Integrated Land Simulator to MIROC6’s Atmosphere and Ocean Models (1190654)
Tomoko Nitta1, Takashi Arakawa2, Akira Takeshima3, Misako Hatono4, Dai Yamazaki5 and Kei Yoshimura1, (1)The University of Tokyo, Institute of Industrial Science, Kashiwa, Japan, (2)Research Organization for Information Science and Technology, Tokyo, Japan, (3)The University of Tokyo, Bunkyo-ku, Japan, (4)Hiroshima University, Higashi-Hiroshima, Japan, (5)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan
 
Towards an Indian Land Data Assimilation System for Water Resources Applications (1197798)
Bhanu Magotra1, Ved Prakash1, Manabendra Saharia1 and Augusto Getirana2, (1)Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India, (2)NASA Goddard Space Flight Center, Greenbelt, United States
 
Noah-MP Parameter Optimization at Southern Great Plains Using Bayesian Optimization (1198800)
Qingyu Wang1, Sean Crowell2, Petra Maria Klein1 and Xiaoming Hu3, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)University of Oklahoma, Norman, OK, United States, (3)the University of Oklahoma, Norman, United States
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