How do I interpret an image of a spectrogram of an audio wind signal? I am running the following code in python to get the spectrogram of a audio signal of wind:
import librosa
import numpy as np
#  Load the audio as a waveform `y`
#    Store the sampling rate as `sr`
file_path = &quot;wind.wav&quot;
y, sr = librosa.load(file_path, sr = None, mono=True, offset = 0.0,  duration=None)
D = librosa.stft(y)
librosa.display.specshow(librosa.amplitude_to_db(D,ref=np.max),y_axis='log', x_axis='time')
plt.title('Power spectrogram')
plt.colorbar(format='%+2.0f dB')
plt.tight_layout()

I get the following image:

My question: How do I interpret this image? What exactly am I looking at and what are the frequencies in this audio file?
The almost steady colored part between 1 s and 35 s, and below about 30 Hz may be the sign of a   low-frequency, continuous noise that seems to be common to mild winds. There seems to be occasional gusts of wind around 12 s to 17 s or 22 s to 25 s. However, the needle aspect of the  spectrogram coefficients may suggest to modify the window, and the little information on frequencies above 256/512 Hz would suggest to look closer at the low frequencies, possibly with a linear frequency scale to better see details.