H51G:
Hydrologic Data Assimilation I Posters


Session ID#: 8543

Session Description:
Hydrologic and land data assimilation (DA) studies will be reported. Focus of contributions include: advances in methods to estimate/reproduce errors and model-observation integration; applications of DA systems on land/atmospheric/water quality state/flux/parameter estimation; implications in decision support systems; integrating observations at diverse spatial and temporal scales; operational applications such as flood forecasting/inundation and drought forecasting. We also encourage contributions related to hydrology missions (e.g., GRACE, SMOS, AMSR2, SMAP, SWOT, GPM, etc.) and ground sensor networks (e.g., COSMOS, OzNet, DTS) as well as simultaneous use of multiple observation types (e.g., multi-satellite, multi-scale, conjunctive use of ground, airborne and satellite observations).
Primary Convener:  Barton A Forman, University of Maryland College Park, College Park, MD, United States
Conveners:  Valentijn R N Pauwels, Monash University, Melbourne, Australia, Dongryeol Ryu, University of Melbourne, Parkville, VIC, Australia and Susan C Steele-Dunne, Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands
Chairs:  Valentijn R N Pauwels, Monash University, Melbourne, Australia and Dongryeol Ryu, University of Melbourne, Parkville, VIC, Australia
OSPA Liaison:  Susan C Steele-Dunne, Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands
Index Terms:

1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1910 Data assimilation, integration and fusion [INFORMATICS]

Abstracts Submitted to this Session:

Assimilation of SMOS soil moisture products into a hydrological model to improve streamflow simulations in the Oueme catchement, West Africa. (48345)
Delphine Leroux, CNRS, Paris Cedex 16, France, Thierry Pellarin, CNRS, The Institute for Geosciences and Environmental research (IGE), Grenoble, France, Theo Vischel, CNRS-INSU, IGE, Grenoble, France and Sylvie Galle, IRD Institute for Research and Development, Marseille Cedex 02, France
A multi-source data assimilation framework for flood forecasting: Accounting for runoff routing lags (62425)
Shanshan Meng and Xianhong Xie, Beijing Normal University, Faculty of Geographical Science, State Key Laboratory of Remote Sensing Science, Beijing, China
Estimation of Surface Heat Fluxes via a Novel Variational Data Assimilation System (63155)
Elahe Tajfar, University of Hawaii at Manoa, Civil and Environmental Engineering, Honolulu, HI, United States and Sayed M. Bateni, University of Hawaii at Manoa, Civil and Environmental Engineering and Water Resources Research Center, Honolulu, HI, United States
Multi-RTM-based Radiance Assimilation to Improve Snow Estimates (64533)
Yonghwan Kwon1, Long Zhao1, Timothy J Hoar2, Zong-Liang Yang3 and Ally Mounirou Toure4, (1)University of Texas at Austin, Austin, TX, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States
Assimilation of AMSR-E snow water equivalent data in a spatially-lumped snow model (64901)
David Dziubanski and Kristie Franz, Iowa State University, Ames, IA, United States
Application of Manifold Methods for Data Assimilation in Integrated Earth System Models (65686)
Ammar Safaie1, Chinh Dang2, Hayder Radha2 and Mantha S Phanikumar3, (1)Sharif University Of Technology, Civil and Environmental Engineering Department, Tehran, Iran, (2)Michigan State University, Electrical and Computer Engineering, East Lansing, MI, United States, (3)Michigan State University, Civil and Environmental Engineering Department, East Lansing, MI, United States
Assimilating Citizen-Based Observations from Low-Cost Sensors in Hydrological Models to Improve Flood Prediction (69487)
Maurizio Mazzoleni1, Leonardo Alfonso1 and Dimitri Solomatine2, (1)UNESCO-IHE� Institute for Water Education, Integrated Water Systems & Governance, Delft, Netherlands, (2)UNESCO Institute for Water Education, IHE Delft, Hydroinformatics chair group, Delft, Netherlands
65 Years of Reprocessed GLDAS Version 2.0 Data and Their Exploration Using the NASA GES DISC Giovanni (69521)
Hualan Rui1, Bruce Vollmer2, William L Teng3, Hiroko K Kato-Beaudoing4, Matthew Rodell5 and David S Silberstein3, (1)NASA GES DISC (ADNET Systems Inc.), Greenbelt, MD, United States, (2)NASA GSFC, GES DISC, Greenbelt, MD, United States, (3)ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States, (4)NASA GSFC HSL (ESSIC University of Maryland), Greenbelt, MD, United States, (5)NASA GSFC HSL, Greenbelt, United States
Comparison of Crop Evapotranspiration Estimates from Reference Evapotranspiration Equations and a Variational Data Assimilation Approach (77618)
Thomas Michalik1, Sayed M. Bateni2, Sebastian Multsch1 and Lutz Breuer1, (1)Justus Liebig University Giessen, Giessen, Germany, (2)University of Hawaii at Manoa, Department of Civil and Environmental Engineering and Water Resources Research Center, Honolulu, United States
Estimating Water and Heat Fluxes with a Four-dimensional Weak-constraint Variational Data Assimilation Approach (74217)
Sayed M. Bateni, University of Hawaii at Manoa, Department of Civil and Environmental Engineering and Water Resources Research Center, Honolulu, United States and Tongren Xu, BNU Beijing Normal University, Beijing, China
Dynamically Evolving Models for Dynamic Catchments: Application of the Locally Linear Dual EnKF to a Catchment with Land Use Change (71440)
Sahani Darshika Pathiraja1, Lucy Amanda Marshall1, Ashish Sharma1 and Hamid Moradkhani2, (1)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, (2)Portland State University, Portland, United States
Examining the Suitability of a Sparse In Situ Soil Moisture Monitoring Network for Assimilation into a Spatially Distributed Hydrologic Model (71990)
Niels De Vleeschouwer, Ghent University, Ghent, Belgium, Niko Verhoest, Ghent University, Laboratory of Hydrology and Water Management, Gent, Belgium and Valentijn R N Pauwels, Monash University, Melbourne, Australia
Assimilating ESA-CCI Soil Moisture into the JULES-EMPIRE Data Assimilation System (72146)
Tristan L Quaife1, Emily Black2, Phil Browne2 and Jane Lewis2, (1)University of Reading, Meteorology, Reading, RG6, United Kingdom, (2)University of Reading, Reading, United Kingdom
Prediction of Turbulent Heat Fluxes by Assimilation of Remotely Sensed Land Surface Temperature and Soil Moisture Data into an Ensemble-Based Data Assimilation Framework (73148)
Tongren Xu1, Sayed M. Bateni2 and Shaomin Liu1, (1)Faculty of Geographical Science, Beijing Normal University, Beijing, China, (2)University of Hawaii at Manoa, Department of Civil and Environmental Engineering and Water Resources Research Center, Honolulu, United States
Towards the assimilation of MODIS reflectance into the detailed snowpack model SURFEX/ISBA-Crocus. (73183)
Luc Charrois1, Emmanuel Cosme2, Marie Dumont3, Matthieu Lafaysse3, Samuel Morin4, Quentin Libois5 and Ghislain Picard2, (1)Centre d'Etude de la Neige, Saint Martin d'Hères, France, (2)LGGE Laboratoire de Glaciologie et Géophysique de l’Environnement, Saint Martin d'Hères, France, (3)CNRM-GAME, Toulouse Cedex 01, France, (4)CEN / Météo-France, Saint Martin D'Here, France, (5)University of Quebec at Montreal UQAM, Montreal, QC, Canada
An Active Forward Model for Simulating Satellite Radar Observations (69674)
Benjamin T Johnson1,2 and Sid Ahmed Boukabara2, (1)NOAA College Park, College Park, MD, United States, (2)NOAA/NESDIS/STAR, JCSDA, College Park, MD, United States
Bridging the Past with Today’s Microwave Remote Sensing: A Case Study of Long Term Inundation Patterns in the Mekong River Delta (74442)
Katherine Jensen, CUNY Graduate Center, New York, NY, United States, Kyle C McDonald, CUNY City College of New York, Earth and Atmospheric Sciences, New York, NY, United States, Ronny Schroeder, CUNY City College, New York, NY, United States and Zachary D Tessler, CUNY City College of New York, Environmental Sciences Initiative, New York, NY, United States
SWATGP data assimilation system(SWATGPDAS): introduction and validation (76514)
Zhang Ying, CAREERI/CAS Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou, China and Weizhen Wang, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
Comparison of State and Parameter Estimation Methods for Soil Moisture Data Assimilation (78363)
Chunlin Huang, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China, Weijing Chen, Wuhan University, School of Resource and Environmental Science, Wuhan, China, Huanfeng Shen, Wuhan University, School of Resource and Environmental Sciences, Wuhan, China and Xin Li, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Beijing, China
Comparative history matching for subsurface hydraulic characterizations. (78833)
Jina Jeong, Kyungpook National University, Department of Geology, Daegu, South Korea, Eungyu Park, Kyungpook National University, Department of Geology, Daegu, Korea, Republic of (South) and Weon Shik Han, University of Wisconsin Milwaukee, Milwaukee, WI, United States
Automated QA/QC For Data Management, Curation, And Standardization Of Hydrological, Meteorological, And Biogeochemical Datasets at the Rifle Field Site (79757)
Boris Faybishenko1, Roelof J Versteeg2, Charuleka Varadharajan1 and Deb Agarwal3, (1)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, CA, United States, (2)Subsurface Insights, Hanover, NH, United States, (3)Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Data Assimilation of Satellite-Derived Surface Water Extent into a Global Rainfall-Runoff Model (80199)
Beatriz Revilla-Romero, Utrecht University, Faculty of Geosciences, Utrecht, Netherlands, Niko Wanders, Utrecht University, Utrecht, Netherlands, Peter Burek, IIASA International Institute for Applied Systems Analysis, Laxenburg, Austria, Peter Salamon, European Commission, Climate Risk Management Unit, Brussels, Belgium and A.P.J. De Roo, European Commission Joint Research Centre, Water Resources Unit, Ispra, Italy
Data Assimilation of Unsaturated Flow: Considering the Vertical Measurement Scale of Soil Moisture (85743)
Qiuru Zhang, Wuhan University, Wuhan, China and Liangsheng Shi, Wuhan University, School of Water Resources and Hydropower Engineering, Wuhan, China

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