Premium
Tropical Cyclone Wind Speed Estimation From Satellite Altimeter‐Derived Ocean Parameters
Author(s) -
Sharoni Syarawi M. H.,
Md Reba Mohd Nadzri,
Hossain Mohammad Shawkat
Publication year - 2021
Publication title -
journal of geophysical research: oceans
Language(s) - English
Resource type - Journals
eISSN - 2169-9291
pISSN - 2169-9275
DOI - 10.1029/2020jc016988
Subject(s) - tropical cyclone , cyclone (programming language) , altimeter , wind speed , significant wave height , satellite , environmental science , scatterometer , ku band , meteorology , remote sensing , maximum sustained wind , brightness temperature , climatology , wind shear , wind wave , geology , geography , brightness , oceanography , computer science , physics , telecommunications , field programmable gate array , astronomy , computer hardware , optics , wind gradient
This study investigates the satellite altimeter‐derived ocean parameters from Joint Altimetry Satellite Oceanography Network (Jason)‐2 and Jason‐3 response to the coincident wind speed at 10 m from sea surface (U 10 ) from Meteorological Operational (MetOp)‐A and MetOp‐B satellite scatterometers inside the tropical cyclone environment. The high wind speed regime and rainy condition inside the tropical cyclone have reduced the U 10 accuracy and thus, would benefit from more ocean related parameters to be considered. The altimeter Ku‐band backscatter and significant wave height are commonly used to estimate extreme U 10 but still show significant error in rainy tropical cyclone. New U 10 models incorporating several Jasons derived ocean parameters (including brightness temperatures and water content) were designed by the multiple linear regression and artificial neural network techniques. Parameter analysis indicated that the C‐band backscatter outperforms the Ku‐band counterpart in relation to U 10 inside the tropical cyclone. The proposed models show U 10 estimation up to 35 ms −1 with 1 ms −1 accuracy and major improvement inside the tropical cyclone rain and at the high wind speed regime. This too shows the ability of satellite altimeter in estimating U 10 in extreme environment with great accuracy.