Reanalysis without radiosondes using ensemble data assimilation

Studies using idealized ensemble data assimilation systems have shown that flow-dependent background-error covariances are most beneficial when the observing network is sparse. Whitaker et al examine the feasibility of reanalysis before radiosondes using an ensemble square root filter and real surfa...

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Bibliographic Details
Published in:Monthly weather review 2004-05, Vol.132 (5), p.1190-1200
Main Authors: WHITAKER, Jeffrey S, COMPO, Gilbert P, XUE WEI, HAMILL, Thomas M
Format: Article
Language:English
Subjects:
Atmospheric models
Climate change
Data assimilation
Data collection
Earth, ocean, space
Exact sciences and technology
External geophysics
Meteorology
Radiosondes
Troposphere
Weather forecasting
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Summary:Studies using idealized ensemble data assimilation systems have shown that flow-dependent background-error covariances are most beneficial when the observing network is sparse. Whitaker et al examine the feasibility of reanalysis before radiosondes using an ensemble square root filter and real surface pressure observations. They conclude that a Northern Hemisphere reanalysis of the middle and lower troposphere during the first half of the 20th century is feasible using only surface pressure observations.
ISSN:0027-0644
1520-0493
DOI:10.1175/1520-0493(2004)132<1190:rwrued>2.0.co;2