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contributor authorWilliamson, David L.
date accessioned2017-06-09T14:16:54Z
date available2017-06-09T14:16:54Z
date copyright1973/05/01
date issued1973
identifier issn0022-4928
identifier otherams-16361.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4152136
description abstractUpdating experiments performed with 5° and 2.5° versions of the NCAR Global Circulation Model are described. Either wind or temperature is updated. Little difference in the asymptotic error of the induced field is found between updating the 5° model with data generated by the 5° model and updating the 2.5° model with data generated by the 2.5° model. This similarity is expected since both models are shown to have similar error growth rates. When the 5° model is updated with data generated by the 2.5° model, the error in the induced field approaches a much larger asymptote. However, this asymptotic error is still less than that of randomly chosen states. The larger asymptotic error is attributed to the rapid error accumulation in a 5° model forecast when compared to data generated by the 2.5° model.
publisherAmerican Meteorological Society
titleThe Effect of Forecast Error Accumulation on Four-Dimensional Data Assimilation
typeJournal Paper
journal volume30
journal issue4
journal titleJournal of the Atmospheric Sciences
identifier doi10.1175/1520-0469(1973)030<0537:TEOFEA>2.0.CO;2
journal fristpage537
journal lastpage543
treeJournal of the Atmospheric Sciences:;1973:;Volume( 030 ):;issue: 004
contenttypeFulltext


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