Structured and Unstructured grid Relocatable ocean platform for Forecasting
SURF is an innovative ocean modeling platform designed to configure, execute, and analyze high-resolution, nested ocean simulations for any region of the global ocean.
By enabling the downscaling of large-scale ocean products to regional and coastal domains, SURF provides the high-spatial resolution needed to capture fine-scale oceanographic processes that are typically unresolved by coarse-resolution models.

Configure high-resolution ocean models anywhere in the world's oceans, reaching resolutions of few hundred meters.
Comprehensive tools and methodologies for advanced ocean modeling
Integrates two state-of-the-art ocean models: the structured grid model NEMO and the unstructured grid model SHYFEM, offering flexibility for diverse applications.
Multiple nesting approaches with NEMO reaching very high-resolutions (down to hundreds of meters) and cross-scale seamless modeling with SHYFEM, using a single grid to represent different scales.
Complete suite of tools for preprocessing (mesh generation, data download/remapping) and post-processing (visualization, analysis), streamlining your entire modeling pipeline.
Distributed as both Docker and VirtualBox images, pre-configured with all necessary libraries and software.
User-friendly web-based interface under development to simplify model setup, execution monitoring, visualization, and results analysis.
Advanced post-processing capabilities for immediate visualization, validation, and analysis of simulation results.
SURF powers critical applications across marine and coastal domains
Track and forecast oil spill trajectories for rapid response and containment
Enhance rescue operations with reliable high-resolution current forecasting
Improve route planning and navigation safety through detailed ocean fields
Monitor and assess fishery resources with high-quality oceanographic data
Provide forecasts for beach safety and water quality management
Support coastal ecosystem protection and climate adaptation strategies
A structured, automated approach to ocean modeling
Specify input parameters for preprocessing, simulation, and post-processing settings including data sources, time steps, output frequency, and visualization preferences.
Automatic download and preparation of input data:
The selected ocean model executes, producing high-resolution fields in your chosen region with configurable temporal and spatial outputs.
Comprehensive analysis tools to visualize outputs, compare parent/child fields, validate results, and convert datasets for further research.