Seahorse Coastal service offerings currently fall into two categories: services related to the ADCIRC model and empirical data analysis services for coastal physics projects. These service offerings are described below:
- Training and in-depth support for clients that need the details of ADCIRC internals, including the key algorithms for modeling various physical processes, the interactions between these algorithms, and the methods of successfully activating them via standard ADCIRC input files.
- Software automation and workflow development for clients that plan to efficiently perform a large number of ADCIRC runs to explore a broad parameter space containing various design alternatives or storm scenarios.
- Compilation, installation, and technical troubleshooting for ADCIRC implementations on client cluster architectures. Model implementation on a computational cluster is often hindered by unforseen issues that are difficult to isolate and result in significant delays. We have experience in troubleshooting and successfully resolving these issues so that projects can stay on track.
Emprirical Data Analysis
- Open ended analysis of multidimensional coastal oceanographic data sets: CTD, water level, ADCP, meteorology (e.g., wind speed/direction), astronomical configuration (day/night, moon phases, etc), dissolved oxygen, and related biological data (e.g., larval counts) may be combined and analyzed to reveal and quantify underlying physical processes.
- Combination of empirical data sets with model output to provide model validation and identify gaps and discrepancies in model performance.
- Experimental design prior to instrument deployment to maximize the value of the data collected and to ensure that the resulting data will be sufficient to answer the targeted questions.
- Field services, including SCUBA diving, to assist with and to provide quality control for actual instrument deployment and retrieval.