
- Generation of Ensembles of Spatial Hydrologic Fields Example Case: Precipitation, (H23C-1142)
- Data Assimilation for Estimating Regional Water Balance Using Constrained EnKF (CAHMDA(CAHMDA(CAHMDA(CAHMDA----II, Session 5)II, Session 5)II, Session 5)II, Session 5)
- Princeton University A Multi-scale Coherence Study between
- Acknowledgement: This research is supported by NOAA Grant NA03O3AR4310001 and NASA NAG5-11610 4. Conclusions Potentials
- Princeton University Using Multi-Sensor Remote Sensing
- Princeton University The potential of assimilating remotely
- Assimilation of Remote-sensing Soil Moisture in Short-term River Forecasting M. Pan1, E. F. Wood1, W. Crow2, J. Schaake3
- Princeton University Assimilation of Satellite Remote Sensing Data
- Data Assimilation for Estimating the Terrestrial Water Budget Using a Constrained Ensemble Kalman Filter
- Editorial Manager(tm) for Remote Sensing of Environment Manuscript Draft
- Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies
- A Multiscale Ensemble Filtering System for Hydrologic Data Assimilation. Part I: Implementation and Synthetic Experiment
- IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOL. 3, NO. 1, MARCH 2010 49 Impact of Accuracy, Spatial Availability, and Revisit
- A first look at Climate Forecast System version 2 (CFSv2) for hydrological seasonal prediction
- DJSeproofinstructions_PM.doc Return of your e-proof to AMS signifies that you have thoroughly read and approve of the proof, and thereby
- A Multiscale Ensemble Filtering System for Hydrologic Data Assimilation. Part II: Application to Land Surface Modeling with Satellite Rainfall Forcing
- Assessing the skill of satellitebased precipitation estimates in hydrologic applications
- Submitted to: M. E. Maiden, H. K. Ramapriyan, and J. K. Entin (Program Managers/Program Scientists)
- Bayesian merging of multiple climate model forecasts for seasonal hydrological predictions