contributor author | Williamson, David L. | |
date accessioned | 2017-06-09T14:16:54Z | |
date available | 2017-06-09T14:16:54Z | |
date copyright | 1973/05/01 | |
date issued | 1973 | |
identifier issn | 0022-4928 | |
identifier other | ams-16361.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4152136 | |
description abstract | Updating 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. | |
publisher | American Meteorological Society | |
title | The Effect of Forecast Error Accumulation on Four-Dimensional Data Assimilation | |
type | Journal Paper | |
journal volume | 30 | |
journal issue | 4 | |
journal title | Journal of the Atmospheric Sciences | |
identifier doi | 10.1175/1520-0469(1973)030<0537:TEOFEA>2.0.CO;2 | |
journal fristpage | 537 | |
journal lastpage | 543 | |
tree | Journal of the Atmospheric Sciences:;1973:;Volume( 030 ):;issue: 004 | |
contenttype | Fulltext | |