H51E:
Hydrologic Data Assimilation and Analysis Tools for Large Data Sets and Their Application in Hydrology III Posters

Submit an Abstract to this Session



Session ID#: 31708

Session Description:
Applications and developments of hydrologic and land data assimilation (DA) studies are reported. Focus of contributions include: advances in methods to estimate/reproduce errors; integrating observations across diverse spatial and temporal scales; applications of DA systems on land/atmospheric/water and state/flux/parameter estimation; and implications in decision support systems. We encourage contributions related to hydrology missions and ground sensor networks as well as simultaneous use of multiple observation types (e.g., multi-satellite, multi-scale, conjunctive use of ground, airborne and satellite observations). Studies using collaborative field experiments that collect extensive datasets will also be reported along with the development of effective analysis tools. Examples of tools include novel data sampling and statistical methods, data fusion techniques, data mining approaches, and visualization schemes for large datasets. Potential applications of these tools include modeling evapotranspiration and other earth system processes, assessing flood and drought risk, characterizing the spatial variability of precipitation, and water resources management.
Primary Convener:  Barton A Forman, University of Maryland College Park, College Park, MD, United States
Conveners:  Joseph G Alfieri, USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Manuela Girotto, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States and Valentijn R N Pauwels, Monash University, Melbourne, Australia
Chairs:  Joseph G Alfieri, USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Barton A Forman, University of Maryland, College Park, MD, United States, Manuela Girotto, Universities Space Research Association, Columbia, MD, United States and Valentijn R N Pauwels, Monash University, Melbourne, Australia
OSPA Liaison:  Barton A Forman, University of Maryland, College Park, MD, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • C - Cryosphere
  • EP - Earth and Planetary Surface Processes
Index Terms:

1805 Computational hydrology [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1910 Data assimilation, integration and fusion [INFORMATICS]

Abstracts Submitted to this Session:

Global Snow from Space: Development of a Satellite-based, Terrestrial Snow Mission Planning Tool (213099)
Barton A Forman, University of Maryland College Park, College Park, MD, United States, Sujay V Kumar, NASA GSFC, Greenbelt, MD, United States, Jacqueline LeMoigne, NASA, Earth Science Technology Office, Greenbelt, MD, United States and Sreeja Nag, Bay Area Environmental Research Institute Moffett Field, Moffett Field, United States
Ensemble Kalman Filter versus Ensemble Smoother for Data Assimilation in Groundwater Modeling (222178)
Liangping Li1, Zhendan Cao1 and Haiyan Zhou2, (1)South Dakota School of Mines and Technology, Rapid City, SD, United States, (2)South Dakota School of Mines and Technology, Rapid City, United States
Snow Radiance Data Assimilation over High Mountain Asia Using the NASA Land Information System and a Well-Trained Support Vector Machine (222797)
Yonghwan Kwon1, Barton A Forman1, Yeosang Yoon2 and Sujay V Kumar3, (1)University of Maryland, College Park, MD, United States, (2)NASA GSFC/SAIC, Greenbelt, MA, United States, (3)NASA GSFC, Greenbelt, MD, United States
Soil Moisture fusion across scales using a multiscale nonstationary Spatial Hierarchical Model (226805)
Dhruva Kathuria, Morgan State University/NASA GSFC, GESTAR II, Greenbelt, United States, Binayak Mohanty, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, United States and Matthias Katzfuss, Texas A&M University, Statistics, College Station, TX, United States
Using Data Assimilation in Real-Time Hydrological Modeling of Groundwater and Stream Flow in Silkeborg, Denmark (237870)
Xin He, Southern University of Science and Technology (SUSTech), Shenzhen, China, Jacob Kidmose, Geological Survey of Denmark and Greenland, København K, Denmark, Henrik Madsen, DHI, Horsholm, Denmark, Chunmiao Zheng, Southern University of Science and Technology, School of Environmental Science and Engineering, Shenzhen, China and Jens Christian Refsgaard, Geological Survey of Denmark and Greenland, Department of Hydrology, Copenhagen, Denmark
Soil moisture monitoring with long term in situ sensors: Lessons from MOISST. (239092)
Michael H Cosh, U.S. Department of Agriculture ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, Tyson E. Ochsner, Oklahoma State University, Plant and Soil Sciences, Stillwater, United States, Lynn McKee, U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Evan J Coopersmith, U. S. Dept. of Agriculture, Beltsville, MD, United States, Jingnuo Dong, Oklahoma State University, Stillwater, OK, United States, Eric E Small, University of Colorado at Boulder, Department of Geological Sciences, Boulder, United States, Marek G Zreda, University of Arizona, Tucson, AZ, United States and John J Qu, George Mason University, Environment Science and Technology Center (ESTC) / Department of Geography and Geoinformation Science (GGS), Fairfax, United States
Joint assimilation of SMOS brightness temperature and GRACE terrestrial water storage observations for improved soil moisture estimation (241262)
Manuela Girotto, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, Rolf H Reichle, NASA Goddard Space Flight Center, Greenbelt, United States, Gabrielle J.M. De Lannoy, KU Leuven, Department of Earth and Environmental Sciences, Leuven, Belgium and Matthew Rodell, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States
Towards Year-round Estimation of Terrestrial Water Storage over Snow-Covered Terrain via Multi-sensor Assimilation of GRACE/GRACE-FO and AMSR-E/AMSR-2. (242541)
Jing Wang1, Yuan Xue2, Barton A Forman2, Manuela Girotto3 and Rolf H Reichle4, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, College Park, MD, United States, (3)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, (4)NASA Goddard Space Flight Center, Greenbelt, United States
Performance Evaluation of EnKF-based Hydrogeological Site Characterization using Color Coherent Vectors (243538)
Mahsa Moslehi, University of Southern California, Los Angeles, CA, United States and Felipe de Barros, University of Southern California, Sonny Astani Department of Civil and Environmental Engineering, Los Angeles, United States
Improving groundwater storage and soil moisture estimates by assimilating GRACE, SMOS, and SMAP data into CABLE using ensemble Kalman batch smoother and particle batch smoother frameworks (248437)
Natthachet Tangdamrongsub, University of Maryland College Park, College Park, United States, Shin-Chan Han, American Geophysical Union, Washington, DC, United States, In-Young Yeo, University of Newcastle, Callaghan, NSW, Australia and Jianzhi Dong, USDA ARS Hydrology and Remote Sensing lab, Beltsville, MD, United States
Discharge data assimilation in a distributed hydrologic model for flood forecasting purposes (249706)
Giulia Ercolani, University of Florence, Civil and Environmental Engineering, Florence, Italy and Fabio Castelli, University of Florence, Department of Civil and Environmental Engineering (DICEA), Florence, Italy
Enhanced Soil Moisture Initialization Using Blended Soil Moisture Product and Regional Optimization of LSM-RTM Coupled Land Data Assimilation System. (250432)
Akhilesh Sivaraman Nair, Indian Institute of Technology Bombay, Department of Civil Engineering, Mumbai, India and J. Indu, Indian Institute of Technology Bombay, Civil Engineering, Mumbai, India
A Study on the Surface and Subsurface Water Interaction Based on the Groundwater Recession Curve (251042)
Shih-Ting Wang1, Yu-Wen Chen1, Liang-Cheng Chang1, Chung-Jung Chiang2 and Yun-Shuen Wang2, (1)National Chiao Tung University, Hsinchu, Taiwan, (2)Central Geological Survey, MOEA, New Taipei City, Taiwan
Estimation of Key Parameters of the Coupled Energy and Water Model by Assimilating Land Surface Data (255613)
Abedeh Abdolghafoorian, George Washington University, Washington, DC, United States and Leila Farhadi, George Washington University, Department of Civil and Environmental Engineering, Washington, DC, United States
Vegetation Water Content Mapping for Agricultural Regions in SMAPVEX16 (255905)
William Alexander White1, Michael H Cosh2, Lynn McKee3, Aaron A Berg4, Heather McNairn5, Brian K Hornbuckle6, Andreas Colliander7 and Thomas J Jackson3, (1)USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, United States, (2)U.S. Department of Agriculture ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, (3)USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (4)University of Guelph, Department of Geography, Environment and Geomatics, Guelph, ON, Canada, (5)Agriculture and Agri-Food Canada, Science and Technology Branch, Ottawa, ON, Canada, (6)Iowa State University, Ames, IA, United States, (7)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Automated Diatom Analysis Applied to Traditional Light Microscopy: A Proof-of-Concept Study (258767)
Zachary Hunter-Lee Little1,2, Ian Bishop3, Sarah A Spaulding3, Harry Nelson4 and Colin Mahoney4, (1)North Carolina State University, Department of Biological and Agricultural Engineering, Raleigh, NC, United States, (2)UNAVCO, Inc. Boulder, Boulder, CO, United States, (3)University of Colorado Boulder, Institute of Arctic and Alpine Research, Boulder, CO, United States, (4)Fluid Imaging Technologies, Engineering, Scarborough, ME, United States
Development Of A Data Assimilation Capability For RAPID (261446)
Charlotte Marie Emery1, Cedric H David1, Michael Turmon2, Jonathan Hobbs1, Dr. George H. Allen, PhD3 and James S. Famiglietti4, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)Virginia Tech, Department of Geosciences, Blacksburg, United States, (4)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Downscaling Coarse Actual ET Data Using Land Surface Resistance (265539)
Tan Shen, Chinese Academy of Sciences, Beijing, China
Assimilation of the ESA CCI Soil Moisture ACTIVE and PASSIVE Product into the SURFEX Land Surface Model using the Ensemble Transform Kalman Filter (271625)
Jostein Blyverket1, Paul Hamer1, Laurent Bertino2 and William A Lahoz1, (1)Norwegian Institute for Air Research, Kjeller, Norway, (2)Bjerknes Centre for Climate Research, Bergen, Norway
Assimilation of passive and active CCI soil moisture products into hydrological modelling: an intercomparison study in Europe (276820)
Christian Massari, Italian National Research Council (CNR), Perugia, Italy, Stefania Camici, CNR National Research Council, Rome, Italy, Luca Brocca, Research Institute for Geo-Hydrological Protection National Research Council CNR, Perugia, Italy, Viviana Maggioni, George Mason University Fairfax, Fairfax, VA, United States and Ivan Marchesini, Italian National Research Council (CNR), Research Institute for Geo-Hydrological Protection (IRPI), Perugia, Italy
Identification of hydrologically homogeneous regions in Ganga-Brahmaputra river basin using Self Organising Maps (278535)
Chetan Sharma, G.B.Pant Engineering College, Pauri, Uttarakhand, India, Roorkee, India and Chandra Shekhar Prasad Ojha, Indian Institute of Technology Roorkee, Department of Civil Engineering, Roorkee, India
Statistical techniques to extract information during SMAP soil moisture assimilation (278594)
Jana Kolassa, Science Systems and Applications, Inc., Lanham, United States, Rolf H Reichle, NASA Goddard Space Flight Center, Greenbelt, United States, Qing Liu, NASA GSFC/SSAI Inc., Greenbelt, United States, Hamed Alemohammad, Radiant Earth Foundation, Washington, United States and Pierre Gentine, Columbia University, Department of Earth and Environmental Engineering, New York, United States
A Thermal Imaging Instrument with Uncooled Detectors (298778)
Alicia T Joseph1, Emily M Barrentine2 and Ari D Brown2, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Code 553, Greenbelt, MD, United States
Uncertainty Estimation using Bootstrapped Kriging Predictions for Precipitation Isoscapes (301009)
Chao Ma, University of Utah, Salt Lake City, UT, United States, Gabriel J Bowen, University of Utah, Geology & Geophysics, Salt Lake City, United States, Hannah Vander Zanden, University of Florida, Department of Biology, Gainesville, FL, United States and Mike Wunder, University of Colorado Denver, Department of Integrative Biology, Denver, CO, United States
Assimilating Flow Data into Complex Multiple-Point Statistical Facies Models Using Pilot Points Method (301703)
Wei Ma and Behnam Jafarpour, University of Southern California, Los Angeles, CA, United States

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