Error Growth in a Large Numerical Forecast SystemSource: Monthly Weather Review:;1995:;volume( 123 ):;issue: 001::page 212Author:Savijarvi, Hannu
DOI: 10.1175/1520-0493(1995)123<0212:EGIALN>2.0.CO;2Publisher: American Meteorological Society
Abstract: Internal 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.
|
Collections
Show full item record
| contributor author | Savijarvi, Hannu | |
| date accessioned | 2017-06-09T16:10:16Z | |
| date available | 2017-06-09T16:10:16Z | |
| date copyright | 1995/01/01 | |
| date issued | 1995 | |
| identifier issn | 0027-0644 | |
| identifier other | ams-62515.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4203416 | |
| description abstract | Internal 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. | |
| publisher | American Meteorological Society | |
| title | Error Growth in a Large Numerical Forecast System | |
| type | Journal Paper | |
| journal volume | 123 | |
| journal issue | 1 | |
| journal title | Monthly Weather Review | |
| identifier doi | 10.1175/1520-0493(1995)123<0212:EGIALN>2.0.CO;2 | |
| journal fristpage | 212 | |
| journal lastpage | 221 | |
| tree | Monthly Weather Review:;1995:;volume( 123 ):;issue: 001 | |
| contenttype | Fulltext |