The Tropical Rainfall Measuring Mission (TRMM) satellite was launched on 27
November 1997, and data from all the instruments first became available ap
proximately 30 days after the launch. Since then, much progress has been ma
de in the calibration of the sensors, the improvement of the rainfall algor
ithms, and applications of these results to areas such as data assimilation
and model initialization. The TRMM Microwave Imager (TMI) calibration has
been corrected and verified to account for a small source of radiation leak
ing into the TMI receiver. The precipitation radar calibration has been adj
usted upward slightly (by 0.6 dBZ) to match better the ground reference tar
gets; the visible and infrared sensor calibration remains largely unchanged
. Two versions of the TRMM rainfall algorithms are discussed. The at-launch
(version 4) algorithms showed differences of 40% when averaged over the gl
obal Tropics over 30-day periods. The improvements to the rainfall algorith
ms that were undertaken after launch are presented, and intercomparisons of
these products (version 5) show agreement improving to 24% for global trop
ical monthly averages. The ground-based radar rainfall product generation i
s discussed. Quality-control issues have delayed the routine production of
these products until the summer of 2000, but comparisons of TRMM products w
ith early versions of the ground validation products as well as with rain g
auge network data suggest that uncertainties among the TRMM algorithms are
of approximately the same magnitude as differences between TRMM products an
d ground-based rainfall estimates. The TRMM field experiment program is dis
cussed to describe active areas of measurements and plans to use these data
for further algorithm improvements. In addition to the many papers in this
special issue, results coming from the analysis of TRMM products to study
the diurnal cycle, the climatological description of the vertical profile o
f precipitation, storm types, and the distribution of shallow convection, a
s well as advances in data assimilation of moisture and model forecast impr
ovements using TRMM data, are discussed in a companion TRMM special issue i
n the Journal of Climate (1 December 2000, Vol. 13, No. 23).