Vertical Profiles of Latent Heat Release and Their Retrieval for TOGA COARE Convective Systems using a Cloud Resolving Model, SSM/I, and Ship-borne Radar Data

13. Climate action 01 natural sciences 0105 earth and related environmental sciences
DOI: 10.2151/jmsj1965.78.4_333 Publication Date: 2017-04-20T02:36:14Z
ABSTRACT
Latent heating profiles associated with three TOGA COARE active convective episodes (December 10-17 1992; December 19-27 and February 9-13 1993) are examined using the two-dimensional version of Goddard Cumulus Ensemble (GCE) Model, retrieved by Convective Stratiform Heating (CSH) algorithm. The following sources rainfall information input into CSH algorithm: Special Sensor Microwave Imager (SSM/I), shipborne radars GCE model. Diagnostically determined latent calculated 6 hourly soundings used for validation.The model simulated in excellent agreement those estimated soundings. In addition, typical stratiform structures (or shapes) well captured Radar measured is smaller than that SSM/I both episodes. derived more periods, but it period. amount about 50% 19-27, 42% 11-17 56% case. These results consistent large-scale analyses. Accurate estimates needed good retrieval. A higher (lower) percentage rain can imply a maximum rate at altitude. always simulates (10 to 20%) radar all 37% 48% 41% case.Temporal variability algorithm either or diagnostically periods. However, less resulted weaker (underestimated) profile, lower level compared diagnostically. Rainfall from not retrieve individual events due poor temporal sampling. Nevertheless, this study suggests retrieval event lead retrieval.Sensitivity testing has been performed indicate time averaged may be underestimated 19-27. Time SSM/I, however, agree retrievals accurate longer scales, provided there no bias sampling.An appropriate selection look-up table important. Sensitivity tests addressing issue have performed.
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