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contributor authorSavijarvi, Hannu
date accessioned2017-06-09T16:10:16Z
date available2017-06-09T16:10:16Z
date copyright1995/01/01
date issued1995
identifier issn0027-0644
identifier otherams-62515.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4203416
description abstractInternal and external z500 global total rms errors followed quadratic growth laws quite well in NMC Medium-Range Forecast (MRF) Model 0?10-day forecasts for 1988?93. Growth parameters and model and analysis errors for many winter were estimated using the quadratic rms error growth assumption. Both the MRF model error and analysis error have nearly halved during 1988?93. But at the same time the growth parameters have nearly doubled: smaller errors grow faster. Thus while the limit of deterministic predictability (rms error 71% of saturation) has been going up, the limit of dynamic predictability (rms error 97.5% of saturation) seems to be set at around 20 days in large horizontal scales, dropping to 6?7 days in small scales.
publisherAmerican Meteorological Society
titleError Growth in a Large Numerical Forecast System
typeJournal Paper
journal volume123
journal issue1
journal titleMonthly Weather Review
identifier doi10.1175/1520-0493(1995)123<0212:EGIALN>2.0.CO;2
journal fristpage212
journal lastpage221
treeMonthly Weather Review:;1995:;volume( 123 ):;issue: 001
contenttypeFulltext


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