Spectral retrieval of latent heating profiles from TRMM PR data

摘要: The global hydrological cycle is central to the Earth's climate system, with rainfall and physics of precipitation formation acting as key links in cycle. Two-thirds occurs tropics associated latent heating (LH) accounting for threefourths total heat energy available atmosphere. In last decade, it has been established that standard products LH from satellite measurements, particularly TRMM would be a valuable resource scientific research applications. Such enable new insights investigations concerning complexities convection system life cycles, diabatic controls feedbacks related rne-sosynoptic circulations their forecasting, relationship tropical patterns circulation climate, strategies improving cloud parameterizations environmental prediction models. However, water vapor profile or budget (called apparent moisture sink, Q2) closely related. This paper presented development an algorithm retrieving Q2 using 'TRMM radar. Since there no direct measurement Q2, validation usually applies method called consistency check. Consistency checking involving Cloud Resolving Model (CRM)-generated 42 profiles algorithm-reconstructed useful step evaluating performance given algorithm. this process, CRM simulation time-dependent process (multiple-day time series) used obtain required input parameters then "~econsti-LKt~h"e originally produced, finally both sets conformal estimates (model algorithm) are compared each other. results indicate discrepancies between reconstructed CM-simulated especially at low levels, larger than those heat. Larger levels due moistening non-precipitating region cannot reconstruct. Nevertheless, good agreement CRM-simulated ones.