Artigo Revisado por pares

Impact of Assimilations of Dropwindsonde Data and SSM/I Rain Rates on Numerical Predictions of Hurricane Florence (1988)

1996; American Meteorological Society; Volume: 124; Issue: 7 Linguagem: Inglês

10.1175/1520-0493(1996)124 2.0.co;2

ISSN

1520-0493

Autores

Jainn J. Shi, Simon W. Chang, Sethu Raman,

Tópico(s)

Ocean Waves and Remote Sensing

Resumo

Abstract Numerical experiments were conducted to assess the impact of Omega dropwindsonde (ODW) data and Special Sensor Microwave/Imager (SSM/I) rain rates in the analysis and prediction of Hurricane Florence (1988). The ODW data were used to enhance the initial analysis that was based on the National Meteorological Center/Regional Analysis and Forecast System (NMC/RAFS) 2.5° analysis at 0000 UTC 9 September 1988. The SSM/I rain rates at 0000 and 1200 UTC 9 September 1988 were assimilated into the Naval Research Laboratory's limited-area model during model integration. Results show that the numerical prediction with the ODW-enhanced initial analysis was superior to the control without ODW data. The 24-h intensity forecast error is reduced by about 75%, landfall location by about 95% (reduced from 294 to 15 km), and landfall time by about 5 h (from 9 to 4 h) when the ODW data were included. Results also reveal that the assimilation of SSM/I-retrieved rain rates reduce the critical landfall location forecas...

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