TITLE:
Application of ESMD Method to Air-Sea Flux Investigation
AUTHORS:
Hui-Feng Li, Jin-Liang Wang, Zong-Jun Li
KEYWORDS:
Extreme-Point Symmetric Mode Decomposition (ESMD); Air-Sea Flux; Hilbert-Huang Transform (HHT); Fourier Frequency Spectrum; Empirical Mode Decomposition (EMD); Wind; Momentum Flux
JOURNAL NAME:
International Journal of Geosciences,
Vol.4 No.5B,
October
11,
2013
ABSTRACT: The ESMD method can be seen as a new alternate of the
well-known Hilbert-Huang transform (HHT) for non-steady data processing. It is
good at finding the optimal adaptive global mean fitting curve, which is
superior to the common least-square method and running-mean approach. Take the
air-sea momentum flux investigation as an example, only when the non-turbulent wind
components is well extracted, can the
remainder signal be seen as actual oscillations caused by turbulence. With the
aid of —5/3 power law for the
turbulence, a mode-filtering approach based on ESMD decomposition is developed
here. The test on observational data indicates that this approach
is very feasible and it may greatly reduce the error caused by the non-turbulent
components.