Formula Used:
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The Pressure Profile In Hurricane Winds formula estimates the pressure at a specific radius from the storm center using the Holland model. It provides a mathematical representation of how pressure changes with distance from the hurricane's eye, which is crucial for understanding hurricane structure and intensity.
The calculator uses the hurricane pressure profile formula:
Where:
Explanation: The equation models how pressure increases exponentially from the storm center to the ambient pressure at the periphery, with parameters controlling the shape of the pressure profile.
Details: Accurate pressure profile estimation is crucial for hurricane forecasting, storm surge prediction, wind field modeling, and understanding hurricane intensity and structure for emergency preparedness and response.
Tips: Enter central pressure, ambient pressure, scaling parameter, arbitrary radius, and peakedness parameter. All values must be valid (pressures ≥ 0, scaling parameter ≥ 0, radius > 0, peakedness parameter ≥ 0).
Q1: What is the Holland model?
A: The Holland model is an analytical model that describes the pressure and wind fields in tropical cyclones, providing a mathematical framework for hurricane forecasting and analysis.
Q2: How does the scaling parameter affect the pressure profile?
A: The scaling parameter controls how quickly pressure changes with distance from the storm center. Larger values result in a more gradual pressure gradient.
Q3: What does the peakedness parameter represent?
A: The peakedness parameter controls the shape of the pressure profile, particularly how sharply the pressure changes near the storm center versus further out.
Q4: What are typical values for these parameters in real hurricanes?
A: Parameter values vary by storm but typically range: A = 20-100 meters, B = 1-2.5, with central pressures ranging from 880-1010 hPa depending on storm intensity.
Q5: How is this model used in practical hurricane forecasting?
A: The Holland model is used to generate wind fields from pressure data, estimate storm surge potential, and provide input for numerical weather prediction models.