Configuration
Instructions:
- • Configure compass points (4, 8, 16), minimum-maximum speed, and bin size
-
• Upload a CSV file with columns:
wind_direction[deg] andwind_speed[m/s]. - • You can also download the CSV template, fill it with your data, and upload it back.
- • The table shows the percentage of data points in each direction/speed bin
- • The wind rose diagram displays the frequency distribution with each color representing a speed bin
- • Use Plotly controls to download the table or chart as PNG
FAQ:
What is a Wind Rose? +
A wind rose is a circular diagram that shows the distribution of wind direction and wind speed at a particular location over a specific period of time. Each spoke represents a compass direction, and the length of each spoke indicates the frequency or magnitude of wind from that direction. Different colors typically represent different wind speed ranges, making it easy to identify patterns at a glance.
Why Use Wind Rose Charts? +
Wind rose charts are invaluable for understanding wind patterns in your location or region. They help professionals and researchers quickly identify dominant wind directions and typical wind speeds, which is essential for applications ranging from weather forecasting to wind farm planning.
Common Applications +
- Meteorology & Weather Studies — Analyze historical weather patterns, seasonal variations, and climate research.
- Sailing & Marine Navigation — Plan routes, understand prevailing winds, and optimize sailing strategies.
- Wind Energy & Renewable Energy — Assess wind farm site viability, turbine placement, and energy generation potential.
- Air Quality & Pollution Studies — Track pollutant dispersion patterns and identify pollution sources.
- Data Analysis & Visualization — Visualize directional data in GIS, environmental monitoring, and research.
- Agriculture & Environmental Management — Understand local wind patterns for crop growth, pesticide application, and erosion control.
How to Use +
- Prepare CSV Data — Gather your wind data in CSV format with columns for direction and speed.
- Upload — Click the "Upload CSV File" button to upload your file.
- Configure — Adjust compass points, speed range, bin size, and direction mode.
- Generate — Instantly create your wind rose chart.
- Download or Share — Save your chart as a PNG image using Plotly controls.
No installation required, no software purchase needed.
Data Format Requirements +
Your CSV file should include at minimum:
- A column for wind direction (in degrees, 0–360)
- A column for wind speed (in your preferred units)
- Optional: frequency, temperature, or other metadata columns (ignored during processing)
Most datasets from weather stations, meteorological services, and research organizations follow this standard format and can be used directly.
What direction convention does this tool use? +
This tool uses meteorological convention: the direction value represents where the wind comes from. For example, a value of 90° means the wind comes from the east (eastward). You can switch to "To" mode in the settings panel, which reverses this — useful if your dataset uses the opposite convention. In that case, you may also need to add 180° to each value.
What compass point options are available? +
You can choose between 4 directions (N, E, S, W), 8 directions (N, NE, E, SE, S, SW, W, NW), or 16 directions (N, NNE, NE, ENE, ...). The more directions you choose, the more granular your wind rose will be. However, for smaller datasets, fewer directions often produce a cleaner and more readable chart.
Can I customize the color scheme? +
Yes. Click the 🎨 button to choose from several Plotly and D3 color scales: Plotly, D3, G10, T10, and Alphabet. Each scale is designed for distinct categorical data and works well for distinguishing speed bins in your wind rose chart.
Is the generator free to use? +
Yes, this tool is completely free and open source. It runs entirely in your browser — your data is never uploaded to any server. You can download the generated chart as a PNG image using the Plotly controls.
Can I use this on mobile? +
Yes. The tool is responsive and works on both desktop and mobile devices. However, for the best experience when working with larger CSV files, a desktop or laptop is recommended.