Understanding the acoustic and hydrodynamic sources of wind noise requires specialized equipment, careful experimental design, and sophisticated data analysis.

1. Experimental Setup:

a. Wind Tunnel: A wind tunnel is essential to create controlled and reproducible wind conditions... allowing us to vary wind speed, direction, and turbulence levels.
b. Subject or Model: Human subjects and realistic head-ear models are used. Models offer more control over ear shape and allow for easier placement of sensors.
c. Microphone Placement: Tiny microphones are carefully placed within the ear canal to measure pressure fluctuations close to the eardrum. Sometimes, multiple microphones are used at different locations within the ear to capture spatial variations.

2. Measurement Techniques:

Acoustic Pressure:
a. Standard Microphones: High-quality microphones with a flat frequency response are used to measure the overall sound pressure level (SPL) in the ear canal.
b. Frequency Analysis: The recorded sound signals are analyzed using techniques like Fourier transforms to determine the frequency content of the wind noise. This helps us identify which frequencies are dominant and how they relate to the ear's resonance.

Hydrodynamic Pressure:
a. Pressure Transducers: Pressure transducers are used to capture the pressure fluctuations associated with turbulence and vortex shedding. 
b. Spatial Mapping: By using pressure transducers, it is possible to map the spatial distribution of pressure fluctuations around the ear, providing insights into how the flow interacts with the ear's complex geometry.

3. Separating Acoustic and Hydrodynamic Components:

a. Signal Processing: This is where things get tricky. Separating the acoustic and hydrodynamic components requires advanced signal-processing techniques.
b. Filtering: High-pass filtering can be used to isolate the higher-frequency acoustic components, while low-pass filtering can capture the lower-frequency hydrodynamic fluctuations.
c. Wavelet Analysis: This technique can help identify and separate different types of pressure fluctuations based on their temporal and frequency characteristics.
d. Coherence Analysis: By comparing signals from multiple microphones, we can identify coherent pressure fluctuations that are likely to be acoustic waves propagating through the ear canal.

4. Data Interpretation:

a. Correlation with Flow Visualization: The pressure measurements are combined with flow visualization techniques to understand how the flow patterns relate to the measured pressure fluctuations.
b. Computational Fluid Dynamics: CFD simulations are used to model the airflow around the ear and predict pressure fluctuations. Comparing these predictions with experimental measurements helps us validate the simulations and gain further insights.

Challenges:
a. Miniaturization: The sensors need to be small enough to fit within the ear canal without significantly disturbing the airflow.
b. Sensitivity: The sensors need to be sensitive enough to capture the subtle pressure fluctuations associated with wind noise.
c. Signal Processing: Separating the acoustic and hydrodynamic components requires sophisticated signal processing techniques.

By combining these experimental and analytical techniques, we gain valuable insights into the complex interplay of acoustic and hydrodynamic pressure fluctuations that contribute to wind noise in the human ear.