Joint Session 9 |
| Satellite Measurements: Hydrological Impact and Land Surface Data Assimilation (Joint with the 17th Conference on Hydrology and the 12th Symposium on Meteorological Observations and Instrumentation |
| Organizer: Ana P. Barros, Harvard University, Cambridge, MA
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| 8:30 AM | J9.1 | Use of Satellite Data Assimilation to Infer Land Surface Thermal Inertia William M. Lapenta, NASA/MSFC, Huntsville, AL; and R. McNider, A. Pour Biazar, R. Suggs, G. Jedlovec, and S. Dembek |
| 8:45 AM | J9.2 | Toward the real-time observation of hydrologic land surface fluxes from space: Data assimilation using the ensemble Kalman filter Steven A. Margulis, MIT, Cambridge, MA; and D. Entekhabi, D. McLaughlin, and S. Dunne |
| 9:00 AM | J9.3 | Integration of spaceborne precipitation and surface brightness temperature measurements using an Ensemble Kalman filter Wade T. Crow, USDA/ARS, Beltsville, MD |
| 9:15 AM | J9.4 | Assessing the impact of horizontal error correlations in forcing data Rolf H. Reichle, NASA/GSFC, Greenbelt, MD; and R. D. Koster |
| 9:30 AM | J9.5 | Modeling Multiyear Surface Evapotranspiration with Remote Sensing Data Marvin L. Wesely, ANL, Argonne, IL; and J. Song |
| 9:45 AM | | Formal Poster Viewing with Coffee Break
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| 11:00 AM | J9.6 | Enhancing the validation of remote sensing data Michael P. Crane, USGS, Sioux Falls, SD; and T. DeFelice |
| 11:15 AM | J9.7 | Detection of water vapor profiles and thin moisture layers from atmospheric radio occultations Manuel de la Torre Juárez, JPL/Caltech, Pasadena, CA; and P. M. Nilsson |
| 11:30 AM | J9.8 | Comparison of SeaWinds scatterometer data with a hydrologic process model for the assessment of snow melt dynamics Venkataramana Rao Sridhar, University of Washington, Seattle, WA; and K. C. McDonald and D. P. Lettenmaier |
| 11:45 AM | J9.9 | Assimilation of Near-surface Soil Moisture Into the Three Layer Variable Infiltration Capacity Land-surface Model Laura M. Parada, University of California, Berkeley, CA; and X. Liang |
| 12:00 PM | J9.10 | The Validation of a Land Data Assimilation System (LDAS) Using Oklahoma Mesonet Data Kodi Lynn Nemunaitis, Oklahoma Climate Survey and University of Oklahoma, Norman, OK; and J. B. Basara |