Environmental data · personal dashboard
Personal project · small tool
A compact live dashboard template for checking floating conditions on the Limmat and Aare from current river, water-temperature, weather, and timing data.
The problem
Deciding whether to go boating means combining several changing signals. Flow affects the trip duration and can make conditions unsuitable, while water temperature, weather, rain, and recent trends add important context. Looking these up separately makes a simple decision unnecessarily fragmented, whether the route is on the Limmat or the Aare.
Design constraints
Key features
Flow and water temperature are shown with recent change and short-term context for each river.
Air temperature, perceived temperature, UV, rain, and near-term precipitation are included.
Flow bands translate conditions into clear, cautious messages adapted to each river and route.
Flow-dependent timing estimates help compare different floating routes and plans.
Short historical ranges make changes in water temperature and flow easier to understand.
The same readable, decision-oriented template works on a phone as well as a desktop screen.
Solution
The same dashboard template combines refreshed river measurements with weather data and recent history, then adapts the presentation and guidance to each river. The Limmat view focuses on floating durations, while the Aare view compares conditions across its Thun–Bern and Bern–Wohlensee sections. Simple rules keep the underlying values visible so the guidance remains understandable rather than pretending to be a precise forecast.
Workflow
River, water-temperature, and weather data are retrieved and stored for the selected river.
Recent measurements are added to show short trends and daily ranges.
River-specific flow thresholds produce practical guidance and duration bands.
Current values, weather context, history, and estimates are arranged in one overview.
The user can quickly judge whether conditions fit the planned outing.
Technologies used
Results / impact
My contribution
Lessons learned
A small dashboard can be valuable when it removes friction from a recurring decision.
Simple rules are useful when their inputs and limitations remain visible.
Recent history adds context without needing a complex predictive model.