Evaluation of the FIB Methodology for Application to Cloud Motion Wind Data.

摘要

A comprehensive technique for the objective analysis of scalar and vector fields was developed. The technique is called the Fields by Information Blending (FIB) technique. This report describes the results of a research study to evaluate the application of the FIB technique to the blending of satellite-derived cloud motion wind data and their finite-difference derivatives (e.g., vorticity and divergence) with conventional wind analyses. The FIB program was supplied to SRI by NEPRF as part of a set of computer programs that, after adaption to SRI's CDC-6400 computer, allowed for the processing, analyses, and subsequent blending of selected trial data sets. Conclusions are based on the results obtained by executing FIB on the data of two case studies, one of the passage of Hurricane Carmen through the Gulf of Mexico (1-7 September 1974) and the other of migration of an extratropical cyclone in the eastern North Pacific Ocean (5-8 February 1976). Both areas are over water and are relatively sparse in conventional data, so meteorological analyses could benefit from the assimilation of cloud motion data. It is concluded that the FIB program and its associated program segments are operationally suitable for blending cloud motion data with conventional wind analyses.