A Structured and Unstructured grid Relocatable ocean platform for Forecasting (SURF). (November 2016)

• Record Type: Journal Article
• Authors: Trotta, Francesco; Fenu, Elisa; Pinardi, Nadia; Bruciaferri, Diego; Giacomelli, Luca; Federico, Ivan; Coppini, Giovanni
• Is Part Of: Deep sea research. Volume 133(2016)
• Page Start: 54
• Page End: 75
• Publication Date: 2016-11
• Subjects: Relocatable model -- Nested grid -- High-resolution models -- Numerical modeling -- Ocean model -- Mesoscale models -- Vertical mixing -- Vertical resolution -- Forecast validation; Oceanography -- Periodicals; Ocean bottom -- Periodicals; Marine biology -- Periodicals; 551.46
• DOI: 10.1016/j.dsr2.2016.05.004
• Languages: English
• ISSNs: 0967-0645

Abstract

Abstract: We present a numerical platform named Structured and Unstructured grid Relocatable ocean platform for Forecasting (SURF). The platform is developed for short-time forecasts and is designed to be embedded in any region of the large-scale Mediterranean Forecasting System (MFS) via downscaling. We employ CTD data collected during a campaign around the Elba island to calibrate and validate SURF. The model requires an initial spin up period of a few days in order to adapt the initial interpolated fields and the subsequent solutions to the higher-resolution nested grids adopted by SURF. Through a comparison with the CTD data, we quantify the improvement obtained by SURF model compared to the coarse-resolution MFS model.