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.
DOI
10.1016/j.dsr2.2016.05.004
Publication Date
2016-11-01
Publication Title
Deep Sea Research Part II: Topical Studies in Oceanography
Volume
133
Publisher
Elsevier
ISSN
0967-0645
Embargo Period
2024-11-22
First Page
54
Last Page
75
Recommended Citation
Trotta, F., Fenu, E., Pinardi, N., Bruciaferri, D., & et al. (2016) 'A Structured and Unstructured grid Relocatable ocean platform for Forecasting (SURF)', Deep Sea Research Part II: Topical Studies in Oceanography, 133, pp. 54-75. Elsevier: Available at: https://doi.org/10.1016/j.dsr2.2016.05.004
