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Impact of Sla Assimilation in the Sicily Channel Regional Model: Model Skills and Mesoscale Features : Volume 9, Issue 2 (01/02/2012)

By Olita, A.

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Book Id: WPLBN0003984171
Format Type: PDF Article :
File Size: Pages 22
Reproduction Date: 2015

Title: Impact of Sla Assimilation in the Sicily Channel Regional Model: Model Skills and Mesoscale Features : Volume 9, Issue 2 (01/02/2012)  
Author: Olita, A.
Volume: Vol. 9, Issue 2
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Dobricic, S., Dufau, C., Ribotti, A., Fazioli, L., Olita, A., Sorgente, R., & Cucco, A. (2012). Impact of Sla Assimilation in the Sicily Channel Regional Model: Model Skills and Mesoscale Features : Volume 9, Issue 2 (01/02/2012). Retrieved from

Description: Consiglio Nazionale delle Ricerche – Istituto per l'Ambiente Marino Costiero, Loc. Sa Mardini, 09170 Oristano, Italy. The impact of the assimilation of MyOcean Sea Level Anomalies along track data on the analyses of the Sicily Channel Regional Model was studied. The numerical model has a resolution of 1/32° degrees and is capable to reproduce mesoscale and sub-mesoscale features. The impact of the SLA assimilation is studied by comparing a simulation (SIM, which does not assimilate data) with two analyses, AN0 and AN1, assimilating different reprocessing versions (V0 and V1) of the same set of Along Track altimetric measurements. The quality of the analyses was evaluated by computing RMSE of the misfits between analyses background and observations (sea level) before assimilation. A qualitative evaluation of the ability of the analyses to reproduce mesoscale structures is accomplished by comparing model results with Ocean Color and SST satellite data, able to detect such features on the ocean surface. CTD profiles allowed to evaluate the impact of the SLA assimilation along the water column. We found a significant improvement for AN1 solution in terms of SLA rmse in respect to SIM (the averaged RMSE of AN1 SLA misfits over 1.5 years is about 0.5 cm smaller than SIM) and a weaker improvement in respect to the assimilation of the V0 dataset (0.1 cm average over the same period). Comparison with CTD data shows a questionable improvement produced by the assimilation process in terms of vertical features: AN1 is better in temperature while for salinity it get worse than SIM at the surface. The qualitative comparison of simulation and analyses with synoptic satellite independent data proves that SLA assimilation of V1 data allows to correctly reproduce some dynamical features (above all the circulation in the Ionian portion of the domain) and mesoscale structures otherwise misplaced or neglected both by SIM and AN0.

Impact of SLA assimilation in the Sicily Channel Regional Model: model skills and mesoscale features

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