Joint Poster Session 5 Land Data Assimilation Techniques and Systems Posters

Tuesday, 12 January 2016: 9:45 AM-11:00 AM
Hosts: (Joint between the 30th Conference on Hydrology; and the 20th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS) )
Cochairs:
Rolf H. Reichle, NASA/GSFC, Greenbelt, MD; Youlong Xia, NOAA/NWS/NCEP/EMC, College Park, MD and Clara Draper, NASA/GSFC, Greenbelt, MD

Please contact the program organizer, Mike Ek (Michael.Ek@noaa.gov) for additional information. This session highlights advances in development and applications of land data assimilation systems (LDAS), which merge ground- or satellite-based land surface observations with estimates from coupled or off-line land surface models, and can be used to initialize weather and seasonal climate forecasts, monitor and predict extreme events, provide improved background information for atmospheric data assimilation, improve process understanding, and support model development. Contributions may include studies that evaluate or improve land DA methods, assess the impact of the assimilation on the quality of theLDAS products, or use LDAS for the above-mentioned applications. Moreover, contributions may address the simultaneous assimilation of multiple observation types, use of current and planned hydrology satellite missions, or focus on operational and other routinely-run systems for land-hydrology analysis, forecasting and related purposes.

Papers:
113
Assimilation of Gridded GRACE Terrestrial Water Storage Observation for Improving Soil Moisture and Shallow Groundwater Estimates
Manuela Girotto, NASA/GSFC, Greenbelt, MD; and G. J. M. De Lannoy, R. H. Reichle, and M. Rodell

114
Testing a Successive Correction Based Data Assimilation Methodology in the NWS Hydrology Laboratory Research Distributed Hydrological Model
Robert J. Zamora, NOAA/ESRL, Boulder, CO; and A. R. Thorstensen and R. Cifelli

115
What Can Data Assimilation Tell Us about Our Models?
Grey S. Nearing, NASA, Greenbelt, MD

116
An Integrated Hydrological Modeling System for High-Resolution Coastal Applications
Teddy Holt, NRL, Monterey, CA; and S. Chen, J. Schmidt, C. DeLuca, M. B. Ek, J. B. Eylander, D. J. Gochis, and C. D. Peters-Lidard

117
Assimilation of Combined Snow Cover and Snow Depth Data into NCEP Operational Global Forecast System
Jiarui Dong, NOAA NCEP, College Park, MD; and M. B. Ek, W. Zheng, S. Kumar, C. Peters-Lidard, and G. S. Nearing

118
Creating Higher Resolution Surface Forcings from NLDAS-2/Stage-IV/GSIP for Hydrologic Monitoring
Ming Pan, Princeton University, Princeton, NJ; and G. Coccia, C. Fisher, X. He, N. Chaney, J. Sheffield, and E. F. Wood

119
Using Virtual Reality Catchment Simulations as Testbeds for Data Assimilation
Bernd Schalge, University of Bonn, Bonn, Germany; and J. Rihani, G. Baroni, D. Erdal, I. Neuweiler, H. J. Hendricks-Franssen, F. Ament, S. Kollet, O. Cirpka, B. Haese, P. Saavedra, X. Han, S. Attinger, H. Kunstmann, H. Vereecken, and C. Simmer

120
Assessment of the Basin-Scale Land Surface Energy Budget in the NCEP Operational and Research NLDAS-2 Systems
Youlong Xia, EMC/NCEP/I.M. Systems Group, College Park, MD; and M. B. Ek, B. Cosgrove, K. Mitchell, C. Peters-Lidard, S. V. Kumar, D. M. Mocko, and H. Wei

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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