Mt. Smirnov et Pf. Meischner, MODEL-ESTIMATED MICROWAVE EMISSIONS FROM RAIN SYSTEMS FOR REMOTE-SENSING APPLICATIONS, JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 101(D23), 1996, pp. 29479-29489
A simple model for estimating the upward and downward microwave emissi
on from rain layer types above ground is presented. The emission prope
rties of the rain layers are estimated from physical quantities such a
s the optical depth, the single-scattering albedo, the physical temper
ature, and a given drop size distribution for Mie scattering calculati
ons. The underlying surface is characterized by the emissivity and the
physical temperature. The transparency coefficient q and the reflecti
on coefficient r of the rain layer are expressed by these physical qua
ntities. The brightness temperature then is given by the physical temp
erature T, q, and v. The radiation transfer is estimated by the method
of layer addition, described by Sobolev [1956], which avoids the nece
ssity of solving the equation of radiation transfer. The accuracy of t
his simple model was estimated by comparisons with three-dimensional M
onte Carlo calculations. The error is estimated to be less than 3 K fo
r common situations and less than 8 K for unrealistic high optical dep
ths. It is shown that any one of the quantities rain rate, rain layer
depth, and physical temperature can be estimated with sufficient accur
acy if the others are known. The basic model has been extended for app
lication to inhomogeneous cloud layers and to include differences in b
rightness temperatures for horizontal and vertical polarizations for o
blate raindrops. The main intended application of this model is rain r
ate estimation from space with low data processing efforts, especially
for the Priroda mission. The model was tested for the downwelling emi
ssion during the field experiment CLEOPATRA by measurements with a pol
arimetric weather radar and rain gauges. The results verify the princi
ples, and promising agreement was found at least for stratiform rain.
The polarimetric extension of the model too showed promising results u
nder quite different measurement conditions in Russia and southern Ger
many.