Examples
Examples
Try the starting example
- Timestamped samples JSON [[time minutes,wind FROM degrees,speed m/s],...]
- [[0,0,0.1],[5,20,2],[10,90,5],[15,350,3]]
- Direction sectors
- 8
- Positive speed-bin upper bounds (m/s)
- 2,5,10
- Calm threshold (m/s)
- 0.5
- Direction centre, speed-bin index, sample count, percent of all samples table
- [[0,1,0,0],[0,2,2,50],[0,3,0,0],[0,4,0,0],[45,1,0,0],[45,2,0,0],[45,3,0,0],[45,4,0,0],[90,1,0,0],[90,2,0,0],[90,3,1,25],[90,4,0,0],[135,1,0,0],[135,2,0,0],[135,3,0,0],[135,4,0,0],[180,1,0,0],[180,2,0,0],[180,3,0,0],[180,4,0,0],[225,1,0,0],[225,2,0,0],[225,3,0,0],[225,4,0,0],[270,1,0,0],[270,2,0,0],[270,3,0,0],[270,4,0,0],[315,1,0,0],[315,2,0,0],[315,3,0,0],[315,4,0,0]]
- Calm sample share (%)
- 25
- Observation count
- 4
Try another scenario
- Timestamped samples JSON [[time minutes,wind FROM degrees,speed m/s],...]
- [[0,0,1.1],[5,20,2],[10,90,5],[15,350,3]]
- Direction sectors
- 8
- Positive speed-bin upper bounds (m/s)
- 2,5,10
- Calm threshold (m/s)
- 0.5
- Direction centre, speed-bin index, sample count, percent of all samples table
- [[0,1,1,25],[0,2,2,50],[0,3,0,0],[0,4,0,0],[45,1,0,0],[45,2,0,0],[45,3,0,0],[45,4,0,0],[90,1,0,0],[90,2,0,0],[90,3,1,25],[90,4,0,0],[135,1,0,0],[135,2,0,0],[135,3,0,0],[135,4,0,0],[180,1,0,0],[180,2,0,0],[180,3,0,0],[180,4,0,0],[225,1,0,0],[225,2,0,0],[225,3,0,0],[225,4,0,0],[270,1,0,0],[270,2,0,0],[270,3,0,0],[270,4,0,0],[315,1,0,0],[315,2,0,0],[315,3,0,0],[315,4,0,0]]
- Calm sample share (%)
- 0
- Observation count
- 4
Calculation method
Calculation method
Direction centre, speed-bin index, sample count, percent of all samples table
Calm speed<threshold excluded from directions. Other samples enter nearest direction sector and first speed bin with speed<upper bound, plus overflow bin.
Calm sample share (%)
Calm speed<threshold excluded from directions. Other samples enter nearest direction sector and first speed bin with speed<upper bound, plus overflow bin.
Observation count
Calm speed<threshold excluded from directions. Other samples enter nearest direction sector and first speed bin with speed<upper bound, plus overflow bin.
Symbols and units
- a
- Timestamped samples JSON [[time minutes,wind FROM degrees,speed m/s],...]
- b
- Direction sectors
- c
- Positive speed-bin upper bounds (m/s)
- d
- Calm threshold (m/s)
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Sample-frequency joint wind rose, not duration-weighted; calm observations remain included in denominator. Supported limits: All required fields must be finite values of the exact declared type and within displayed bounds. Lists contain1–1000 finite numbers. JSON tables are numeric rectangular rows, at most100 rows and30 columns; individual tools have stricter shape/domain constraints. Sample-frequency joint wind rose, not duration-weighted; calm observations remain included in denominator.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.