کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4549373 | 1627358 | 2007 | 19 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Multigrid state vector for data assimilation in a two-way nested model of the Ligurian Sea Multigrid state vector for data assimilation in a two-way nested model of the Ligurian Sea](/preview/png/4549373.png)
A system of two nested models composed by a coarse resolution model of the Mediterranean Sea, an intermediate resolution model of the Provençal Basin and a high resolution model of the Ligurian Sea is coupled with a Kalman-filter based assimilation method. The state vector for the data assimilation is composed by the temperature, salinity and elevation of the three models. The forecast error is estimated by an ensemble run of 200 members by perturbing initial condition and atmospheric forcings. The 50 dominant empirical orthogonal functions (EOF) are taken as the error covariance of the model forecast. This error covariance is assumed to be constant in time. Sea surface temperature (SST) and sea surface height (SSH) are assimilated in this system.
Journal: Journal of Marine Systems - Volume 65, Issues 1–4, March 2007, Pages 41–59