1. What is Relative Humidity?

Relative humidity (RH) is the ratio of the current amount of water vapor in the air to the maximum amount that could be present at that temperature, expressed as a percentage. It's a crucial parameter in meteorology, HVAC, and various industrial processes.

2. How Does the Calculator Work?

The calculator uses the formula:

Where:

• \( RH \) — Relative Humidity (%)
• \( T_d \) — Wet bulb temperature (°C)
• \( T \) — Dry bulb temperature (°C)
• \( \exp \) — Exponential function

Explanation: This formula calculates relative humidity based on the difference between wet bulb and dry bulb temperatures, using the Magnus approximation for saturation vapor pressure.

3. Importance of Relative Humidity Calculation

Details: Accurate humidity measurement is essential for weather forecasting, climate control systems, agricultural planning, industrial processes, and human comfort assessment.

4. Using the Calculator

Tips: Enter both wet bulb and dry bulb temperatures in Celsius. Ensure measurements are taken accurately using proper psychrometric instruments.

5. Frequently Asked Questions (FAQ)

Q1: What's the difference between wet bulb and dry bulb temperatures?
A: Dry bulb temperature is the ambient air temperature, while wet bulb temperature is measured with a thermometer whose bulb is covered with a wet cloth, affected by evaporation cooling.

Q2: What is considered comfortable relative humidity?
A: For human comfort, relative humidity between 30-60% is generally recommended, with 40-50% being optimal for most indoor environments.

Q3: How accurate is this calculation method?
A: The formula provides good accuracy for most practical purposes, though precision instruments may use more complex algorithms for extreme conditions.

Q4: Can this calculator be used for temperatures below freezing?
A: The formula works for temperatures below 0°C, but accuracy may decrease in very cold conditions where different vapor pressure equations are needed.

Q5: Why is relative humidity important in weather forecasting?
A: RH helps predict precipitation, fog formation, and is crucial for understanding heat index and human comfort levels in different weather conditions.