Improving quantitative precipitation nowcasting with a local ensemble transform Kalman filter radar data assimilation system: observing system simulation experiments-Reference-Cited by-同舟云学术

Improving quantitative precipitation nowcasting with a local ensemble transform Kalman filter radar data assimilation system: observing system simulation experiments

Published:2014-03-05 Issue:1 Volume:66 Page:21804
ISSN:1600-0870
Container-title:Tellus A: Dynamic Meteorology and Oceanography
language:en
Short-container-title:Tellus A: Dynamic Meteorology and Oceanography

Author:

Tsai Chih-Chien,Yang Shu-Chih,Liou Yu-Chieng

Publisher

Informa UK Limited

Subject

Atmospheric Science,Oceanography

Link

https://www.tandfonline.com/doi/pdf/10.3402/tellusa.v66.21804

Reference57 articles.

1. A Multicase Comparative Assessment of the Ensemble Kalman Filter for Assimilation of Radar Observations. Part II: Short-Range Ensemble Forecasts

2. An Ensemble Adjustment Kalman Filter for Data Assimilation

3. Observing-Systems Simulation Experiments: Past, Present, and Future

4. A Study of the Error Covariance Matrix of Radar Rainfall Estimates in Stratiform Rain

5. Adaptive Sampling with the Ensemble Transform Kalman Filter. Part I: Theoretical Aspects

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