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RISThe Impacts of Representing the Correlation of Errors in Radar Data Assimilation. Part II: Model Output as Background Estimates
Publisher: American Meteorological Society
Abstract: In data assimilation, analyses are generally obtained by combining a ?background,? taken from a previously initiated model forecast, with observations from different instruments. For optimal analyses, the error covariance ...
The Impacts of Representing the Correlation of Errors in Radar Data Assimilation. Part I: Experiments with Simulated Background and Observation Estimates
Publisher: American Meteorological Society
Abstract: n radar data assimilation, statistically optimal analyses are sought by minimizing a cost function in which the variance and covariance of background and observation errors are correctly represented. Radar observations are ...
Developing a Convective-Scale EnKF Data Assimilation System for the Canadian MEOPAR Project
Publisher: American Meteorological Society
Abstract: his study discusses the construction of a high-resolution ensemble Kalman filter system (the HREnKF) developed for the Marine Environmental Observation Prediction and Response (MEOPAR) network. The HREnKF runs at a horizontal ...
Verification of 24-hour quantitative precipitation forecasts over the Pacific Northwest from a high-resolution Ensemble Kalman Filter system
Publisher: American Meteorological Society
Abstract: nvironment and Climate Change Canada (ECCC) has recently developed an experimental High Resolution EnKF (HREnKF) regional ensemble prediction system, which it tested over the Pacific Northwest of North America for the first ...
Use of a Genetic Algorithm to Optimize a Numerical Weather Prediction System
Publisher: American Meteorological Society