Journal of Applied Meteorology: Vol. 41, No. 8, pp. 849–862.
Hirohiko Masunaga
Earth Observation Research Center, National Space Development Agency, Chuo-ku, Tokyo, Japan
Toshio Iguchi
Applied Research and Standards Division, Communication Research Laboratory, Koganei, Tokyo, Japan
Riko Oki
Satellite Program and Planning Department, National Space Development Agency, Minato-ku, Tokyo, Japan
Misako Kachi
Earth Observation Research Center, National Space Development Agency, Chuo-ku, Tokyo, Japan
(Manuscript received 2 November 2001, in final form 18 February 2002)
ABSTRACT
Satellite
remote sensing is an indispensable means of measuring and monitoring
precipitation on a global scale. The Tropical Rainfall Measuring Mission (TRMM)
is continuing to make significant progress in helping the global features of
precipitation to be understood, particularly with the help of a pair of
spaceborne microwave sensors, the TRMM Microwave Imager (TMI) and precipitation
radar (PR). The TRMM version-5 standard products, however, are known to have a
systematic inconsistency in mean monthly rainfall. To clarify the origin of
this inconsistency, the authors investigate the zonal mean precipitation and
the regional trends in the hydrometeor profiles in terms of the precipitation
water content (PWC) and the precipitation water path (PWP) derived from the TMI
profiling algorithm (2A12) and the PR profile (2A25). An excess of PR over TMI
in near-surface PWC is identified in the midlatitudes (especially in winter),
whereas PWP exhibits a striking excess of TMI over PR around the tropical
rainfall maximum. It is shown that these inconsistencies arise from TMI
underestimating the near-surface PWC in midlatitude winter and PR
underestimating PWP in the Tropics. This conclusion is supported by the
contoured-frequency-by-altitude diagrams as a function of PWC. Correlations
between rain rate and PWC/PWP indicate that the TMI profiling algorithm tends
to provide a larger rain rate than the PR profile under a given PWC or PWP,
which exaggerates the excess by TMI and cancels the excess by PR through the
conversion from precipitation water to rain rate. As a consequence, the
disagreement in the rainfall products between TMI and PR is a combined result
of the intrinsic bias originating from the different physical principles
between TMI and PR measurements and the purely algorithmic bias inherent in the
conversion from precipitation water to rain rate.