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Extracting Empirical Green's Functions (EGFs) by cross-correlating ambientseismic noise or coda, considered as an efficient approach of retrieving newresponse inside the media of two receivers, has been developed well in the pasttwo decades. However, EGFs emerge with high Signal-to-Noise Ratios (SNRs),which needs us to stack a large number of cross-correlations. Here, we retrieveEGFs with high SNRs from ambient seismic noise released by hurricane Dorianmoving along the eastern coast of the United States during 3 days in Sept 2019.We systematically analyze the energy sources of seismic noise records withtime-frequency analysis and beam-forming. We find that the energy exhibits verystrongly when hurricane Dorian progresses along the coast from 4th to 6th Sept.Our results suggest that EGFs exhibit strong directionality and only emerge inthe negative part of cross-correlation time functions due to the noise sourcesof Dorian. We extract clear multimodal dispersion curves of Rayleigh waves fromretrieved EGFs. Our results, indeed, reveal that multimodal dispersion curvespf Rayleigh wave could be extracted from ambient seismic noise excited byDorian for several days or even a single day, which means that we enlarge theseismic data sets for the future work of investigating shear velocitystructures of the Earth's crust and upper mantle and understanding our planetmore deeply.

Multimodes of Rayleigh wave excited by hurricane Dorian