Poster Session Benchmarking, identification, and verification in land surface modeling and data assimilation Posters

Tuesday, 8 January 2013: 9:45 AM-11:00 AM
Exhibit Hall 3 (Austin Convention Center)
Host: 27th Conference on Hydrology
Sujay Kumar, NASA/GSFC, Hydrological Sciences Lagoratory, Washington, DC

We invite contributions describing the advances in model benchmarking, evaluation and verification for land surface model and data assimilation simulations and systems including: (1) Challenges and issues of land surface model benchmarking, availability and accuracy of observational datasets, (2) The use of novel, standardized model benchmarking, identification and verification metrics and tools, (3) The use of techniques and metrics beyond the traditional deterministic approaches (such as ensemble diagnostics, probabilistic verification measures), (4) The use of model identification measures to differentiate the performance of different models, (4) multi-model and ensemble diagnostics to characterize predictive uncertainties. In particular, we seek contributions that lead towards the definition and refinement of standardized measures of model performance for the land surface community.

Comparison of Four Precipitation Forcing Datasets in Land Information System Simulations over the Continental U.S
Jonathan L. Case, ENSCO, Inc., Huntsville, AL; and S. V. Kumar, R. J. Kuligowski, and C. Langston
Manuscript (6.2 MB)

Handout (3.0 MB)

Influence of remotely-sensed vegetation conditions as an input parameter on the VIC hydrologic model
Trent Wayne Ford, Texas A&M University Department of Geography, Bryan, TX

CREST-Snow Analysis and Field Experiment (CREST-SAFE): Continuous In Situ Observations of Snow Physical Properties and Microwave Emission
Tarendra Lakhankar, NOAA-CREST, The City College of the City University of New York, New York, NY; and J. Muñoz, P. Romanov, R. Khanbilvardi, and A. Powell

Modeling Water and Heat Transfer in the Soil-Mulch-Atmosphere System
Xia Zhang, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

Effective Soil Moisture Estimation and its Uncertainty using Multi-Model Simulation based on Bayesian Model Averaging
Jonggun Kim, Texas A&M University, College Station, TX; and B. P. Mohanty and Y. Shin

Benchmarking of the Community Atmosphere Biosphere Land Exchange Model (CABLE) using the Protocol for the Analysis of Land Surface Models (PALS) and the Land surface Verification Toolkit (LVT)
Jatin Kala, University of New South Wales, Kensington, Australia; and G. Abramowitz, C. Carouge, M. Decker, J. Evans, J. F. Exbrayat, A. Hirsch, and A. Pitman

Evaluating LSM water budgets in the framework of the LIS-HyMAP system
Augusto getirana, NASA/GSFC, Washington, DC; and S. Kumar and C. Peters-Lidard

Multiscale evaluation of the improvements in surface snow simulation
Sujay V. Kumar, NASA/GSFC, Greenbelt, MD; and C. D. Peters-Lidard, D. Mocko, and Y. Tian

Handout (2.0 MB)

Assessment of the Community Land Model version 04 snow model output estimates
Ally M. Toure, NASA, Greenbelt, MD; and M. Rodell, Z. L. Yang, Y. Zhang, Y. Kwon, and H. Beaudoing

Handout (2.5 MB)

Improving simulation of water table depth in NOAH-MP by coupling LEAFHydro's Groundwater Scheme
Mingxing Li, the University of Texas at Austin, Austin, TX; and Z. L. Yang

Evaluation of Model Simulated Soil Moisture Using Long-term In Situ Data from Iowa
Shanshui Yuan, Texas A&M University, College Station, TX; and S. M. Quiring

Simultaneous estimation of downward shortwave and longwave radiation, vapor pressure, and diurnal temperature cycles
Theodore Bohn, University of Washington, Seattle, WA; and B. Livneh, B. Nijssen, J. Oyler, S. W. Running, and D. P. Lettenmaier

Development of Operational Streamflow and Soil Moisture Forecasts for the Southeastern U.S
Tushar Sinha, North Carolina State University, Raleigh, NC; and S. Kumar, S. Arumugam, and C. Peters-Lidard

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