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Beating the Uncertainties: Ensemble Forecasting and Ensemble-Based Data Assimilation in Modern Numerical Weather Prediction.

Authors :
Hailing Zhang
Zhaoxia Pu
Source :
Advances in Meteorology. 2010, Vol. 2010, p1-10. 10p. 2 Diagrams, 2 Graphs.
Publication Year :
2010

Abstract

Accurate numerical weather forecasting is of great importance. Due to inadequate observations, our limited understanding of the physical processes of the atmosphere, and the chaotic nature of atmospheric flow, uncertainties always exist in modern numerical weather prediction (NWP). Recent developments in ensemble forecasting and ensemble-based data assimilation have proved that there are promising ways to beat the forecast uncertainties in NWP. This paper gives a brief overview of fundamental problems and recent progress associated with ensemble forecasting and ensemble-based data assimilation. The usefulness of these methods in improving high-impact weather forecasting is also discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16879309
Volume :
2010
Database :
Academic Search Index
Journal :
Advances in Meteorology
Publication Type :
Academic Journal
Accession number :
60641622
Full Text :
https://doi.org/10.1155/2010/432160