Precipitation homogeneity is one of the main factors that contribute to the difference in the
rain-rate estimation from meteorological satellites. Using the Tropical Rainfall Measuring Mission
(TRMM) products, this paper aims to characterize the homogeneity of ice-scattering signals from
TRMM Microwave Imagers (TMIs) as related to rain-rate estimation bias with TRMM Precipitation
Radar (PR). Statistical information about the polarization-corrected brightness temperature (PCT)
from the TMI 85 GHz band is obtained over the global ocean in the tropics. The characteristics
are the fraction of PCT below a given threshold, the minimum value, and the standard deviation
that are calculated at a 0.25 0.25grid level. The average values of rain-rate estimation from
TRMM PR and TMI in the same grid position and time are then compared. This result indicates
that the rain-rate estimation bias is influenced by the homogeneity and organization of precipitation
systems. Using the statistical signature of ice-scattering signals at the grid level, an adjustment
was implemented for TMI rain-rate estimation. The results could produce rain-rate estimations
that conform more to PR, particularly for the inhomogeneous precipitation system mostly affected
by stratiform rain. The characterization of ice-scattering signals as a proxy to the precipitation
homogeneity, as presented in this research, could be implemented in order to improve the accuracy
of satellite rain-rate estimation in the future.
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Bahasa Asli/Original Language
English
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Internasional
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Dokumen Karya
No
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