Abstract

More than twelve satellite scatterometers have operated since 1992 through the present, providing the main source of surface wind vector observations over global oceans. In this study, these scatterometer winds are used in combination with radiometers and synthetic aperture radars (SAR) for the better determination and characterization of high spatial and temporal resolution of regional surface wind parameters, including wind speed and direction, wind stress components, wind stress curl, and divergence. In this paper, a 27-year-long (1992–2018) 6-h satellite wind analysis with a spatial resolution of 0.125° in latitude and longitude is calculated using spatial structure functions derived from high-resolution SAR data. The main objective is to improve regional winds over three major upwelling regions (the Canary, Benguela, and California regions) through the use of accurate and homogenized wind observations and region-specific spatial and temporal wind variation structure functions derived from buoy and SAR data. The long time series of satellite wind analysis over the California upwelling, where a significant number of moorings is available, are used for assessing the accuracy of the analysis. The latter is close to scatterometer wind retrieval accuracy. This assessment shows that the root mean square difference between collocated 6-h satellite wind analysis and buoys is lower than 1.50 and 1.80 m s−1 for offshore and nearshore locations, respectively. The temporal correlation between buoy and satellite analysis winds exceeds 0.90. The analysis accuracy is lower for 1992–1999 when satellite winds were mostly retrieved from ERS-1 and/or ERS-2 scatterometers. To further assess the improvement brought by this new wind analysis, its data and data from three independent products (ERA5, CMEMS, and CCMP) are compared with purely scatterometer winds over the Canary and Benguela regions. Even though the four products are generally similar, the new satellite analysis shows significant improvements, particularly in the upwelling areas.

Highlights

  • Some of the most productive marine areas are regions of eastern boundary upwelling systems where equatorward alongshore winds produce coastal upwelling due to offshoreEkman transport

  • Most of the available buoy and satellite data are assimilated by the ERA5 reanalysis

  • In addition to the previous comparisons mostly focusing on wind speed, the quality of wind direction is investigated from wind stress curl that is crucial for the correct representation of the Ekman pumping

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Summary

Introduction

Through twin numerical simulations, [2] have shown the need for high spatial and temporal surface wind resolution for better characterization of transient upwelling features known for occurring in the Canary and Benguela regions. This study aims at meeting the above scientific requirements through the determination of accurate surface wind analyses at regional scales It focuses on developing high-resolution winds based on the use of various satellite observations including measurements from radars (scatterometers, synthetic aperture radar (SAR)) and radiometers. This suite of remote sensing data is used for developing a new surface wind analysis that provides the mean structure and accompanying variability of wind vector, stress, curl, and divergence, and it is designed for coastal upwelling regions.

In Situ Data
Remote Sensing Data
Atmospheric Reanalysis
Analysis Method
Spatial Structure Functions
Temporal
Offshore
Wind Stress Issues
Assessment of the Local Wind Patterns
Summary
Spatial
Findings
Monthly-averaged
Full Text
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