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No existing reproducible dashboard featuring multiple products (potentially from multiple sources)
Minimal/limited interactivity with existing charts
Potential areas for improvement of existing visualisations, in line with new technology and emerging user needs
A need for data to be visualised for a broader audience
Solution
This project aims to develop a dashboard that can visualise meteorological parameters relevant to tropical cyclone hazard forecasting. To do this, the developer/team will create a Jupyter notebook to process and visualise the data for the dashboard, with supporting documentation and notes to support users in recreating the dashboard for their chosen cyclone.
To demonstrate the effectiveness of the dashboard, the developer/team will provide a working example using historical data for known storms (e.g. Ian (09L) in 2022), which will be provided by the mentors.
By the end of the project, the resulting dashboard will provide a user-friendly interface that displays critical meteorological parameters for forecasting tropical cyclone hazards, and the Jupyter notebook will allow for easy data processing and customisation.
Hi, Is that challenge still open for submitting proposal ? If, can I submit a proposal ? And, how the proposals will be evaluated ? How many teams can work on same challenge or it's only a selected team/person will work on the project finally?
Best regards
Hello,
Unfortunately Code for Earth proposal submission phase has ended on 12th April. You can find answers to most of your questions on the FAQ page: https://codeforearth.ecmwf.int/faq
Best regards,
Milana
Challenge 14 - Tropical Cyclone Hazard Dashboard
Goal
To create a customisable hazard dashboard in Jupyter notebooks for effective risk communication of Tropical Cyclone forecasts.
Mentors and skills
Challenge description
The current limitation is:
Solution
This project aims to develop a dashboard that can visualise meteorological parameters relevant to tropical cyclone hazard forecasting. To do this, the developer/team will create a Jupyter notebook to process and visualise the data for the dashboard, with supporting documentation and notes to support users in recreating the dashboard for their chosen cyclone.
To demonstrate the effectiveness of the dashboard, the developer/team will provide a working example using historical data for known storms (e.g. Ian (09L) in 2022), which will be provided by the mentors.
By the end of the project, the resulting dashboard will provide a user-friendly interface that displays critical meteorological parameters for forecasting tropical cyclone hazards, and the Jupyter notebook will allow for easy data processing and customisation.
Useful links
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