I. Introduction
Many studies have reported strong diurnal and semi-diurnal variabilities of tropical vector winds that may affect the cloud formation and precipitation in the tropics [1]–[3]. Moreover, these signals create regional bias between scatterometer wind observation during ascending and descending passes and affect satellite cross-calibration, and thus need to be removed in order to create a long-term climate quality intercalibrated dataset [4]. Therefore, a comprehensive understanding of the diurnal variability of ocean surface vector wind is essential to understand the fundamental mechanism of diurnal variability of precipitation and air-sea interaction in the tropics, and other regional and global climate studies. However, accurate assessment of diurnal winds has remained to be a challenge because all the present and past satellite scatterometers, except the RapidScat on the International Space Station, have been in Sun-synchronous polar orbits, and they sample a given geographical position twice daily (separated by 12 h), which is insufficient temporal sampling to determine the diurnal and semi diurnal cycles of tropical winds.