Abstract

The International Space Station scatterometer (named ISS-RapidScat) was launched by NASA on 20 September 2014 as a continuation of the QuikSCAT climate data record to maintain the availability of Ku-band scatterometer data after the QuikSCAT missions ended. In this study, the overall archived ISS-RapidScat wind vectors in the wind speed range of 0–24 m/s are evaluated by the global moored buoys’ wind observations, including the U.S. National Data Buoy Center (NDBC), the Tropical Atmosphere Ocean (TAO), and 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 ISS-RapidScat 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 RapidScat wind vectors are consistent with buoys’ wind measurements. The average errors of the RapidScat wind vectors are 1.42 m/s and 19.5°. The analysis of the RapidScat wind vector errors at different buoy wind speeds in bins of 1 m/s indicates that the errors of the RapidScat wind speed reduce firstly, and then increase with the increasing buoy wind speed, and the errors of the RapidScat wind direction decrease with increasing buoy wind speed. The comparisons of the errors of the RapidScat wind speed and direction at different months from April 2015 to August 2016 show that the accuracies of the RapidScat wind vectors have no dependence on the time, and the biases of the RapidScat wind speed indicate that there is an annual periodic signal of wind speed errors which are due to the annual cycle variation of ocean winds. The accuracies of the RapidScat wind vectors at different times in one day are also analyzed and the results show that the accuracy of the RapidScat wind vectors at different times of the day is basically consistent and with no diurnal variation. In order to evaluate the ISS-RapidScat wind vectors of the global oceans, the differences (RapidScat-ASCAT) in the wind speed range of 0–30 m/s are analyzed in the different months from October 2014 to August 2016, and the average RMSEs of differences between ISS-RapidScat and ASCAT wind vectors are less than 1.15 m/s and 15.21°. In general, the evaluation of the all-over archived ISS-RapidScat wind vectors show that the accuracies of the ISS-RapidScat wind vectors satisfy the general scatterometer’s mission requirement and are consistent with ASCAT wind data.

Highlights

  • Oceans, which cover about 70% of the Earth’s surface area, are a regulator of the Earth’s system and a major factor affecting the global climate system

  • The comparisons of root mean square error (RMSE) of the RapidScat wind speed and direction at different months show that there is no dependence on the time regarding the accuracy of the RapidScat wind vectors and the accuracies are consistent during the entire period

  • This study comprehensively evaluates the overall historical archived ISS-RapidScat wind vectors from 3 October to 19 August 2016 by comparing with global moored buoys and MetOp-A/B Advanced Scatterometer (ASCAT) wind data

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Summary

Introduction

Oceans, which cover about 70% of the Earth’s surface area, are a regulator of the Earth’s system and a major factor affecting the global climate system. Ocean surface wind is one of the important factors that influences the generation and movement of the ocean waves, ocean currents, and water masses. Ocean surface wind is directly related to almost all seawater movements, from small-scale ocean waves to large-scale ocean currents. Going back to the 1970s, spaceborne radar scatterometry has been used to measure ocean surface winds [1,2]. The SeaSat-A satellite, which was equipped with the first spaceborne scatterometer—SASS—was launched in 1978, and the SASS is a Ku-band scatterometer with the spatial resolution of 50 km and a swath of 1000 km. The European Space Agency’s European Remote Sensing satellites (ERS-1 and ERS-2), launched in 1991 and 1995, carried the Active Microwave Instrument (AMI), which worked in the C-band and had the same spatial resolution and swath as SASS.

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