H31I:
Hydrologic Data Assimilation II Posters


Submit an Abstract to this Session


Session ID#: 54306

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; University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, 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; Universities Space Research Association, Columbia, MD, United States
Chairs:  Manuela Girotto, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States; Universities Space Research Association, Columbia, MD, 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:

Towards hydrologic parameter estimation in the ORCHIDEE land surface using the ESA-CCI soil moisture combined product. (410975)
Nina Raoult1, Bertrand Delorme1,2, Catherine Ottlé3, Philippe P Peylin1, Vladislav Bastrikov1, Pascal Maugis1 and Jan Polcher4, (1)LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette Cedex, France, (2)Stanford University, Earth System Sciences, Stanford, CA, United States, (3)LSCE, CEA CNRS UVSQ, 91191, Gif sur Yvette, France, Gif-Sur-Yvette Cedex, France, (4)CNRS/IPSL, Laboratoire de Météorologie Dynamique (LMD), Paris, France
Joint State and Parameter Estimation of Two-Dimensional Soil Water Flow Model Based on Ensemble Kalman Filter Method (407475)
Guanhua Huang1, Liu Kun2, Xu Xu2, Yunwu Xiong2 and Quanzhong Huang Sr2, (1)CAU China Agricultural University, Chinese-Israeli International Center for Research and Training in Agriculture, Beijing, China, (2)CAU China Agricultural University, Beijing, China
Synergetic assimilation of satellite-based rainfall and soil moisture for improving Streamflow Simulations (396405)
Raaj Ramsankaran and Amol Ashok Patil, Indian Institute of Technology Bombay, Civil Engineering, Mumbai, India
Do lateral flows matter for data assimilation of soil moisture observations into hyperresolution hydrological models? (404051)
Yohei Sawada, MRI-JMA, Ibaraki, Japan
Mapping Land Surface Heat and Water Fluxes by Assimilating Space-born LST and SM data (364358)
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
An Efficient Surrogate Multi-Objective Framework for Parameter Estimation of Computationally Expensive Hydrologic Models (464089)
Taimoor Akhtar and Christine A Shoemaker, National University of Singapore, Singapore, Singapore
Regional scale ensemble streamflow assimilation with coupled WRF-Hydro and DART. (441179)
Arezoo Rafieeinasab1, James L McCreight2, Timothy J Hoar2, Moha Gharamti2, Seongjin Noh3 and David Gochis4, (1)NSF National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)University of Texas at Arlington, Arlington, TX, United States, (4)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States
Improving Streamflow Estimates Of The RAPID River Routing Model With Data Assimilation (354487)
Charlotte Marie Emery1, Cedric H David1, Mike Turmon2, Jonathan Hobbs1, John T Reager II1, Edward Beighley3, James S Famiglietti4 and Matthew Rodell5, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)Northeastern University, Civil and Environmental Engineering, Boston, United States, (4)Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada, (5)NASA GSFC HSL, Greenbelt, United States
Data Assimilation of Terrestrial Water Storage to Adjust Precipitation Fluxes (373958)
Manuela Girotto, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, Matthew Rodell, NASA GSFC HSL, Greenbelt, United States, Rolf H Reichle, NASA Goddard Space Flight Center, Greenbelt, United States, Viviana Maggioni, George Mason University Fairfax, Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, Fairfax, VA, United States and Barton A Forman, University of Maryland, College Park, MD, United States
Year-round Estimation of Terrestrial Water Storage in a Snow-Covered Basin through the Assimilation of Multisensor Satellite Observations from GRACE and AMSR-E (415663)
Jing Wang, University of Maryland College Park, College Park, MD, United States, Barton A Forman, University of Maryland, College Park, MD, United States, Manuela Girotto, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States and Rolf H Reichle, NASA Goddard Space Flight Center, Greenbelt, United States
CASEarth Poles: A Big Earth Data Platform for Three Poles (427071)
Xin Li, CAREERI/CAS Cold and Arid Regions Environmental and Engineering Research Institute, Northwest Institute of Eco-Environment and Resources, Lanzhou, China, Tao Che, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China, Xinwu Li, RADI Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, Lei Wang, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China, Anmin Duan, Insititute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, Donghui Shangguan, Chinese Academy of Sciences, State Key Laboratory of Cryospheric Science, Beijing, China, Xiaoduo Pan, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, China and Miao Fang, CAREERI/CAS Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou, China
Towards Synthetic Passive Microwave Brightness Temperature Assimilation over Snow-Covered Terrain in Western Colorado (401633)
Lizhao Wang, University of Maryland College Park, College Park, MD, United States, Barton A Forman, University of Maryland, College Park, MD, United States, Yonghwan Kwon, University of Texas at Austin, Austin, United States, Sujay V Kumar, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Jacqueline Le Moigne, NASA Goddard Institute for Space Studies, Greenbelt, MD, United States and Sreeja Nag, Bay Area Environmental Research Institute Moffett Field, Moffett Field, United States
Synthetic Study of Spaceborne LiDAR Snow Depth Retrieval Assimilation within the NASA Land Information System (439025)
Yonghwan Kwon, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Yeosang Yoon, NASA GSFC/SAIC, Greenbelt, MA, United States, Barton A Forman, University of Maryland, College Park, MD, United States, Sujay V Kumar, NASA GSFC, Greenbelt, MD, United States and Lizhao Wang, University of Maryland, College park, MD, United States
A Synthetic Experiment to Investigate the Potential of Assimilating LAI through Direct Insertion in a Land Data Assimilation System (395779)
Azbina Rahman1, Xinxuan Zhang1, Viviana Maggioni2, Yuan Xue1, Paul Houser3, Timothy Sauer1, 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
Assimilation of Leaf Area Index for ecohydrologic predictions: its implication on drought and the ecosystem water use efficiency (425502)
Hocheol Seo, Yonsei University, Department of Civil and Environmental Engineering, Seoul, South Korea and Yeonjoo Kim, Yonsei University, Department of Civil and Environmental Engineering, Seoul, Korea, Republic of (South)

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