Ensemble-based data assimilation

Bulletin of the American Meteorological Society

Volumn 88, Issue 4, 2007, Pages 565-568

  Zhang, Fuqing ^a   Snyder, Chris ^b  

^a TEXAS A AND M UNIVERSITY   (United States)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; KALMAN FILTERS; METEOROLOGY; TECHNICAL PRESENTATIONS;

DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; NUMERICAL WEATHER PREDICTION;

WEATHER FORECASTING;

EID: 34249077569     PISSN: 00030007     EISSN: None     Source Type: Journal    
DOI: 10.1175/BAMS-88-4-565     Document Type: Article

References (4)

1. Evensen, G., 2003: The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dyn., 53, 343-367.
2. Fritsch, J. M., and R. E. Carbone, 2004: Improving quantitative precipitation forecasts in the warm season: A USWRP research and development strategy. Bull. Amer. Meteor. Soc., 85, 955-965.
3. Hamill, T. M., 2006: Ensemble-based atmospheric data assimilation. Predictability of Weather and Climate, T. Palmer and R. Hagedorn, Eds., Cambridge University Press, 124-156.
4. Snyder, C., and F. Zhang, 2003: Tests of an ensemble Kalman filter for convective-scale data assimilation. Mon. Wea. Rev., 131, 1663-1677.