1-Minute Integrated Rain Rate Statistics Estimated From Tropical Rainfall Measuring Mission Data

This letter presents a new model for the prediction of the 1-min integrated complementary cumulative distribution function (CCDF) of the rain rate,
$P(R)_{1}$
, valid for tropical and equatorial regions (specifically, latitudes ranging from 35
$^{\circ}{\rm S}$
to 35
$^{\circ}{\rm N}$
). The proposed model inherits its analytical formulation from the method currently recommended by the International Telecommunication Union—Radiocommunication Sector (ITU-R) for global
$P(R)_{1}$
prediction (Annex 1 of recommendation P.837-6), but it relies on Tropical Rainfall Measuring Mission (TRMM) data, in place of the ERA40 database, for the extraction of the required local meteorological inputs. With respect to the ITU-R model, the proposed model requires a lower number of inputs (two instead of three) and, in addition, it shows a better
$P(R)_{1}$
prediction performance when tested against the experimental
$P(R)_{1}$
curves (tropical/equatorial sites) included in the global DBSG3 database of ITU-R.