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Estimation of heavy rainfall during cyclonic storms from microwave observations using nonlinear approach over Indian Ocean

Mishra, Anoop Kumar (2012) Estimation of heavy rainfall during cyclonic storms from microwave observations using nonlinear approach over Indian Ocean. In: NATURAL HAZARDS, 63 (2). pp. 673-683.

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Official URL: http://dx.doi.org/10.1007/s11069-012-0179-4

Abstract

In this study, an effort has been made to study heavy rainfall events during cyclonic storms over Indian Ocean. This estimate is based on microwave observations from tropical rainfall measuring mission (TRMM) Microwave Imager (TMI). Regional scattering index (SI) developed for Indian region based on measurements at 19-, 21- and 85-GHz brightness temperature and polarization corrected temperature (PCT) at 85 GHz have been utilized in this study. These PCT and SI are collocated against Precipitation Radar (PR) onboard TRMM to establish a relationship between rainfall rate, PCT and SI. The retrieval technique using both linear and nonlinear regressions has been developed utilizing SI, PCT and the combination of SI and PCT. The results have been compared with the observations from PR. It was found that a nonlinear algorithm using combination of SI and PCT is more accurate than linear algorithm or nonlinear algorithm using either SI or PCT. Statistical comparison with PR exhibits the correlation coefficients (CC) of 0.68, 0.66 and 0.70, and root mean square error (RMSE) of 1.78, 1.96 and 1.68 mm/h from the observations of SI, PCT and combination of SI and PCT respectively using linear regressions. When nonlinear regression is used, the CC of 0.73, 0.71, 0.79 and RMSE of 1.64, 1.95, 1.54 mm/h are observed from the observations of SI, PCT and combination of SI and PCT, respectively. The error statistics for high rain events (above 10 mm/h) shows the CC of 0.58, 0.59, 0.60 and RMSE of 5.07, 5.47, 5.03 mm/h from the observations of SI, PCT and combination of SI and PCT, respectively, using linear regression, and on the other hand, use of nonlinear regression yields the CC of 0.66, 0.64, 0.71 and RMSE of 4.68, 5.78 and 4.02 mm/h from the observations of SI, PCT and combined SI and PCT, respectively.

Item Type: Journal Article
Additional Information: Copyright for this article belongs to Springer
Keywords: Polarization; Microwave; Precipitation; Radar; Satellite
Department/Centre: Division of Earth and Environmental Sciences > Divecha Centre for Climate Change
Date Deposited: 10 Sep 2012 12:18
Last Modified: 10 Sep 2012 12:18
URI: http://eprints.iisc.ernet.in/id/eprint/44993

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