Overview

The Coastal Ocean Assessment Toolbox (COAsT) is a valuable Python package specifically designed to assist in the assessment, management, and analysis of high-resolution regional ocean model outputs. It provides a comprehensive set of tools and functionalities for analyzing and visualizing various aspects of coastal ocean data, delivering novel diagnostics for processes that emerge within these models.

Key Features

• High-Resolution Ocean Models: COAsT is tailored to work with high-resolution regional ocean models

• NEMO Integration: The initial focus of COAsT is on delivering a limited number of novel diagnostics for NEMO configurations, a widely used ocean model. However, the toolbox is designed to be expanded to include other diagnostics and support for additional ocean models.

• xarray Framework: COAsT leverages the capabilities of the xarray library to provide efficient and user-friendly data handling and analysis.

• Community-Ready and Flexible: The aim of COAsT is to create a toolbox that is ready for collaboration with the research community. It is designed to be flexible, allowing users to extend and adapt its functionalities to suit their specific research needs.

Functionalities

• Observation Data Co-processing and Management: COAsT includes an expanding array of functions for reading and processing of ocean observational data types for co-analysis with simulation data. These data sources include satellite altimetry, tide gauges and in-situ profile data.

• Visualization and Mapping: COAsT offers tools for creating visual representations of your data through maps, graphs, and charts. It seamlessly integrates with popular libraries such as cartopy and matplotlib

• Spatial Analysis: COAsT provides robust spatial analysis tools for geospatial data analysis and statistical computations. For example flows across contours or transect, and computations over geographic regions using masks.

• Statistical Analysis: The package also offers a suite of statistical analysis capabilities