Abstract

The Oceansat-2 satellite was launched on 23 September 2009 by the Indian Space Research Organization (ISRO). In this study, the historic archived OSCAT wind vectors are compared with the global moored buoys’ wind observations, including the U.S. National Data Buoy Center (NDBC), the Tropical Atmosphere Ocean (TAO), the Pilot Research Moored Array in the Tropical Atlantic (PIRATA), the Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA), and Advanced Scatterometer (ASCAT) wind data in the same period of OSCAT by calculating the statistical parameters, namely, the root mean square error (RMSE), bias (mean of residuals), and correlation coefficient (R) between the collocated data. The comparisons with the global moored buoys show that the OSCAT wind vectors are consistent with buoys’ wind measurements. The average errors of the OSCAT wind vectors are 1.20 m/s and 17.7°. The analysis of the OSCAT wind vector errors at different buoy wind speeds in bins of 1 m/s indicates that the accuracy of the OSCAT wind speed first increases and then decreases with the increasing wind speed. The comparisons of OSCAT wind vectors and ASCAT wind vectors show that the average RMSEs of their differences are 1.27 m/s and 20.17°. In general, the accuracies of the OSCAT wind vectors satisfy the general scatterometer’s mission requirement and are consistent with ASCAT wind data. OSCAT wind vectors can be used in the global change study by the combination with other scatterometer data.

Highlights

  • Ocean surface wind is an important meteorological factor for driving seawater movement

  • Oceansat-2 Scatterometer (OSCAT) surface winds for the monsoon period (June–September) of 2011 over the Arabian Sea were compared with two moored buoys, and the results show that the errors of wind speed and direction are less than

  • 2011, and the results show that the wind speeds and directions derived from OSCAT agree with RAMA buoy winds [14]

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Summary

Introduction

Ocean surface wind is an important meteorological factor for driving seawater movement. Ocean surface wind affects almost all oceanic dynamic processes from sea surface microscale waves to ocean circulation. Ocean surface wind is of vital importance for studies of oceanic processes and improvement of marine and weather forecasting by data assimilation in the operational prediction models [1]. Ocean surface wind is very important geophysical variable to accurately measure. Traditional anemometer winds cover the spatial and temporal domains poorly. Satellite scatterometer is a widely used technique for measuring global ocean surface winds from space synchronously.

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