Quantifying Precipitation Uncertainty for Land Data Assimilation Applications

The ROMS IAS Data Assimilation and Prediction System: Quantifying Uncertainty

1. To develop a state-of-the-art ocean 4-dimensional variational (4D-Var) data assimilation and ocean forecasting system for the Regional Ocean Modeling System (ROMS); 2. To develop a state-of-the-art suite of post-processing and diagnostic tools in support of ROMS 4D-Var; 3. To gain the necessary experience using the ROMS 4D-Var systems in complex circulation environments; 4. To train the next...

Evaluation of GPM Precipitation Estimates for Cross - cutting Earth Science Applications via Land Data Assimilation Studies Rapid Prototyping

Land Surface Observation, Modeling and Data Assimilation

In what case do you like reading so much? What about the type of the land surface observation modeling and data assimilation book? The needs to read? Well, everybody has their own reason why should read some books. Mostly, it will relate to their necessity to get knowledge from the book and want to read just to get entertainment. Novels, story book, and other entertaining books become so popula...

Variational data assimilation of microwave radiobrightness observations for land surface hydrology applications

Our ability to accurately describe large-scale variations in soil moisture is severely restricted by process uncertainty and the limited availability of appropriate soil moisture data. Remotely sensed microwave radiobrightness observations can cover large scales but have limited resolution and are only indirectly related to the hydrologic variables of interest. We describe a four-dimensional (4...

Variational Assimilation of Remote Sensing Data for Land Surface Hydrologic Applications

Soil moisture plays a major role in the global hydrologic cycle. Most importantly, soil moisture controls the partitioning of available energy at the land surface into latent and sensible heat fluxes. We investigate the feasibility of estimating large-scale soil moisture profiles and related land surface variables from low-frequency (L-band) passive microwave remote sensing observations using w...