(For derivation please see the accompanying Image.)
It is thus logical to examine the effectiveness of using both normalizations for the characterization of equivalent reflectivity at frequencies used for spaceborne radars, i.e. Ku, Ka, and W bands, and in turn corresponding retrievals of rain, because the characterizing parameters may now be more concisely expressed. DSDs derived from 2D video disdrometer (2DVD) observations in various field campaigns provide the DSD population for our investigation. The DSD moments and corresponding equivalent reflectivity and specific attenuation at frequencies are first calculated and tabulated. We first analyze the information content and remove redundancy. We then attempt to relate equivalent reflectivity and specific attenuation to liquid water content, effective diameter, and mean volume diameter in a functional form. We also derive functional form for the inverse, i.e. relating equivalent reflectivity and specific attenuation at multiple frequencies to liquid water content, effective diameter, and mean volume diameter, essentially a retrieval scheme.
Kuo, K. S., E. A. Smith, Z. Haddad, E. Im, T. Iguchi, and A. Mugnai, 2004: Mathematical–physical framework for retrieval of rain DSD properties from dual-frequency Ku–Ka-band satellite radar. J Atmos Sci, doi:10.1175/1520-0469(2004)061<2349:MFFROR>2.0.CO;2.
Testud, J., S. Oury, R. A. Black, P. Amayenc, and X. Dou, 2001: The concept of normalized distribution to describe raindrop spectra: A tool for cloud physics and cloud remote sensing. J. Appl. Meteorol, 40, 1118–1140.