Vaisala Energy Support
How do I interpret the wind rose provided by the Annual Mean Wind Rose Tool?
The wind rose indicates the frequency with which the wind blows from a given direction (N - North, S - South, E - East, W - West). Wind roses provided by 3TIER’s Wind Prospecting Tools are an annual average (mean). The length of each wedge indicates the frequency, with the distance between two concentric circles representing a frequency of 10%. For example, a wedge directed straight up (N) and extending 3 rings means that the wind blows from the North 30% of the time. Directional bins are 45 degrees wide.
Please note that each annual wind rose scales to your selected location, meaning some wind roses will have more rings than others. Generally the more often wind blows in a certain direction, the more rings your wind rose will have. For example, the wind rose for an area with a frequency of 10% would have one ring, where as an area with a 50% frequency would have five rings.
More Wind Online Tools Questions
- Which Wind Time Series dataset should I choose?
- How do I enter a location?
- How do I interpret the graph provided by the Monthly Mean Wind Speed Tool?
- What does the Annual Mean Wind Speed Tool provide?
- What does the Wind Speed Distribution Tool provide?
- Why do we show a +/- next to the annual value?
- What wind speeds are shown on the map?
- What affects wind at a given site?
- How can I compare sites side-by-side?
- How do I change locations for individual tools?
- What is a hub height?
- What makes a good wind resource?
- What is a wind resource assessment?
- What do the colors on the map mean?
- What is the source of the information?
- How accurate are the Wind Prospecting Tools?
- Why does the map disappear?
- How was the 5 km global wind dataset created?
- Does 3TIER incorporate observational data?
- What were 3TIER's data validation procedures for the 5 km global wind dataset?
- What happened to 3TIER’s Reference Wind Time Series Product?
- Why do all the various datasets have different start and end times?
- Doesn’t horizontal resolution matter? What about downscaling with weather models like WRF and MM5?
- Why are the long-term mean values of each data set so similar and why don’t they match the values I get when I download these data directly from the various global modeling centers?
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