Current version of the over-land Global Satellite Mapping of Precipitation (GSMaP) algorithm for microwave sounder
tends to underestimate rain areas because of missing warm rain due to scattering-based algorithm only applied over land.
Therefore we develop a new rain/no-rain classification (RNC) method using channels such as 89, 150, 186 and 190 GHz
to detect the warm rain. In order to estimate the performance of the revised RNC method, the AMSU-PR matched-up
cases are used. The result shows that the shallow precipitation over land, which is missed by the original RNC method, is
detected by the revised RNC method.
The rain/no-rain threshold value of cloud liquid water (CLW) is important for the microwave precipitation retrieval
algorithms. In our previous study, we proposed a parameterization of rain/no-rain threshold value of CLW as a function
of storm height for Global Satellite Mapping of Precipitation (GSMaP) algorithm. In this study, we determine rain/norain
threshold value of CLW using CloudSat precipitation product and the cloud liquid water derived from Aqua/AMSRE.
The threshold values of CLW from CloudSat precipitation product are lower than 0.5 kg m-2 for GSMaP over all
regions. The threshold value of CLW is found at its peak in the Tropics and decreases poleward. The threshold value of
cloud liquid water contents computed from threshold value of CLW divided by the zonal mean storm height from
PR3A25 is employed on the parameterization of threshold value of CLW. The result shows that GSMaP with new
parameterization can detect the shallow rain observed by CloudSat.
The Spectral Latent Heating (SLH) algorithm was developed to estimate latent heating profiles for the TRMM PR. The
method uses PR information (precipitation top height, precipitation rates at the surface and melting level, and rain type)
to select heating profiles from lookup tables. Lookup tables for the three rain types-convective, shallow stratiform, and
anvil rain (deep stratiform with a melting level)-were derived from numerical simulations of tropical cloud systems
from the Tropical Ocean Global Atmosphere (TOGA) Coupled Ocean-Atmosphere Response Experiment (COARE)
utilizing a cloud-resolving model (CRM). The two-dimensional ("2D") CRM was used in the previous studies. The
availability of exponentially increasing computer capabilities has resulted in three-dimensional ("3D") CRM simulations
for multiday periods becoming increasing prevalent. In this study, we compare lookup tables from the 2D and 3D
simulations. The lookup table from 3D simulations results in less agreement between the SLH-retrieved heating and
sounding-based one for the South China Sea Monsoon Experiment (SCSMEX). The level of SLH-estimated maximum
heating is lower than that of the sounding-derived one. This is explained by the fact that the 3D lookup table produces
stronger convective heating and weaker stratiform heating above the melting level that 2D counterpart. Condensate
generated in and carried over from the convective region is larger in 3D than in 2D, and condensate that is produced by
the stratiform region's own upward motion is smaller in 3D than 2D.
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