MariTeam model
results and case studies.
Analysis, simulations, and visualizions of ship emissions and maritime activity with the MariTeam model to explore future shipping emissions en route to net-zero goals by mid-century.
MariTeam Model is a framework for analyzing and simulating shipping data, emissions, and mitigation strategies. The model provides a comprehensive suite for analysis and model integration for automating data processing, model runs, and deployment.
You can work with ship data and generate insights using interactive visualizations in Python. MariTeam compiles everything into a platform that ensures rapid results. Since everything is modular and file-based, you can integrate your work with version control, write unit tests, and host the model anywhere, making it adaptable for a variety of use cases.
Ready to dive into shipping analysis? Get started with MariTeam now.
Here are some ideas of things you could try…
Start exploring some of our
ship data page that contains historical shipping data, aiding in fleet analysis and emissions modeling.
The
stock model module simulates global fleet dynamics, predicting future fleet composition based on trends.
The
gravity model of trade predicts bilateral trade flows based on distance, economic size, and other key factors influencing shipping demand.
The
SSP demand scenarios module evaluates future shipping demand under various socio-economic pathways, helping forecast maritime industry trends.
Our
emission inventories display the emission intensity for different ship types and the whole fleet, as well as the effect of weather.
The
fuel mix scenarios provide fuel scenarios, analyzing the impact of alternative fuels on shipping emissions, costs, and operational strategies.