H23A:
Hydrologic Data Assimilation I


Submit an Abstract to this Session


Session ID#: 62043

Session Description:
This session invites studies on data-driven algorithms, modeling tools and platforms to integrate observations (data) with models. In particular, applications and developments of hydrologic and land data assimilation (DA) studies will be reported. Focus of contributions include: frontier computational methods to integrate model and data (e.g., data assimilation, machine learning, surrogate model), state-of-the-art observation techniques to collect data (e.g., remote sensing, wireless sensor network, Internet of Things); contributions related to hydrology missions (e.g., AirMOSS, AMSR2, GPM, GRACE-FO, NISAR, SMAP, SMOS, SnowEx, SWOT) and ground sensor networks (e.g., COSMOS, DTS, OzNet); advances in methods to estimate/reduce error and/or uncertainty; integrating observations at diverse spatial and temporal scales; applications of DA systems on land/atmospheric/water and state/flux/parameter estimation; implications in decision support systems; and operational applications (e.g., floods, droughts, water management). Work performed where publicly-available data is available for evaluation and cross-comparison are most encouraged.
Primary Convener:  Manuela Girotto, Universities Space Research Association, Columbia, MD, United States
Conveners:  Barton A Forman, University of Maryland, College Park, MD, United States, Tao Che, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China and Xiaofan Yang, Beijing Normal University, Faculty of Geographical Science, Beijing, China
Primary Liaison:  Manuela Girotto, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States
Chairs:  Manuela Girotto, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States and Barton A Forman, University of Maryland, College Park, MD, United States
OSPA Liaison:  Xiaofan Yang, Beijing Normal University, Faculty of Geographical Science, Beijing, China
Index Terms:

1655 Water cycles [GLOBAL CHANGE]
1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1910 Data assimilation, integration and fusion [INFORMATICS]

Abstracts Submitted to this Session:

Progress, challenges and gaps in continental and global-scale land data assimilation (Invited) (395552)
Sujay V Kumar, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, Christa D Peters-Lidard, NASA GSFC, Greenbelt, United States, David M Mocko, SAIC, Greenbelt, United States, Rolf H Reichle, NASA Goddard Space Flight Center, Greenbelt, United States, Joseph A Santanello Jr, Hydrological Sciences Laboratory, NASA/GSFC, Greenbelt, United States, Matthew Rodell, NASA GSFC HSL, Greenbelt, United States, Mahdi Navari, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States and Michael F Jasinski, NASA Goddard Space Flight Ctr, Greenbelt, United States
Potential of land data assimilation to tackle model and forcing uncertainties (403947)
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
Conditional bias-penalized Kalman filter for improved state estimation over the tails of distribution (466346)
Haojing Shen1, Hak Su Lee2, Seongjin Noh1, Sunghee Kim1, Dong-Jun Seo3 and Yu Zhang4, (1)University of Texas at Arlington, Arlington, TX, United States, (2)LEN Technologies, Oak Hill, United States, (3)University of Texas at Arlington, Civil Engineeing (Water Resources), Arlington, TX, United States, (4)University of Texas at Arlington, Department of Civil Engineering, Arlington, United States
Characterizing errors in AIRS retrievals of near-surface air temperature and specific humidity, and implications for remote sensing of ET (Invited) (346461)
Kaighin A Mccoll1, Jing Sun2, Yan Wang3, Angela Jean Rigden4, Hui Lu2 and Kun Yang5, (1)Harvard University, Earth and Planetary Sciences and School of Engineering and Applied Sciences, Cambridge, MA, United States, (2)Tsinghua University, Department of Earth System Science, Beijing, China, (3)Tsinghua University, Beijing, China, (4)Harvard University, Department of Earth and Planetary Sciences, Cambridge, United States, (5)Department of Earth System Science, Tsinghua University, Beijing, China
Assimilation of satellite soil moisture for improved atmospheric reanalyses (414913)
Clara Draper, NOAA PSL, Boulder, United States and Rolf H Reichle, NASA Goddard Space Flight Center, Greenbelt, United States
A framework for predicting irrigation through soil moisture data assimilation (450417)
Ben Livneh, University of Colorado at Boulder, Department of Civil, Environmental, and Architectural Engineering, Boulder, United States, Ronnie Abolafia-Rosenzweig, National Center for Atmospheric Research, Boulder, United States, Eric E Small, University of Colorado at Boulder, Department of Geological Sciences, Boulder, United States, Andrew Badger, George Mason University Fairfax, Fairfax, VA, United States and Sujay V Kumar, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Assessing the Performance of Different LAI Data Assimilation Techniques in a Land Surface Model (445337)
Xinxuan Zhang1, Viviana Maggioni2, Azbina Rahman1, Yuan Xue1, Paul Houser3, Sujay V Kumar4 and David M Mocko5, (1)George Mason University Fairfax, Fairfax, VA, United States, (2)George Mason University Fairfax, Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, Fairfax, VA, United States, (3)George Mason University Fairfax, Geography and Geoinformation Sciences, Fairfax, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)SAIC, Greenbelt, United States
Hydro-DART: ensemble streamflow assimilations with WRF-Hydro and the Data Assimilation Research Testbed (440521)
Timothy J Hoar1, Moha Gharamti1, James L McCreight1 and Arezoo Rafieeinasab2, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)NSF National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States

See more of: Hydrology