Search
Now showing items 1-5 of 5
Quantifying Precipitation Uncertainty for Land Data Assimilation Applications
Publisher: American Meteorological Society
Abstract: nsemble-based data assimilation techniques are often applied to land surface models in order to estimate components of terrestrial water and energy balance. Precipitation forcing uncertainty is the principal source of ...
Evaluation of Long-Term SSM/I-Based Precipitation Records over Land
Publisher: American Meteorological Society
Abstract: he record of global precipitation mapping using Special Sensor Microwave Imager (SSM/I) measurements now extends over two decades. Similar measurements, albeit with different retrieval algorithms, are to be used in the ...
Hydrologic Data Assimilation with the Ensemble Kalman Filter
Publisher: American Meteorological Society
Abstract: Soil moisture controls the partitioning of moisture and energy fluxes at the land surface and is a key variable in weather and climate prediction. The performance of the ensemble Kalman filter (EnKF) for soil moisture ...
A Multiscale Ensemble Filtering System for Hydrologic Data Assimilation. Part I: Implementation and Synthetic Experiment
Publisher: American Meteorological Society
Abstract: The multiscale autoregressive (MAR) framework was introduced in the last decade to process signals that exhibit multiscale features. It provides the method for identifying the multiscale structure in signals and a filtering ...
An Agenda for Land Surface Hydrology Research and a Call for the Second International Hydrological Decade
Publisher: American Meteorological Society
Abstract: Hydrologic research at the interface between the atmosphere and land surface is undergoing a dramatic change in focus, driven by new societal priorities, emerging technologies, and better understanding of the earth system. ...