Preprints
https://doi.org/10.5194/amt-2022-63
https://doi.org/10.5194/amt-2022-63
 
25 Feb 2022
25 Feb 2022
Status: a revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

Evaluation of Aeolus L2B wind product with wind profiling radar measurements and numerical weather prediction model equivalents over Australia

Haichen Zuo1, Charlotte Bay Hasager1, Ioanna Karagali2, Ad Stoffelen3, Gert-Jan Marseille3, and Jos de Kloe3 Haichen Zuo et al.
  • 1Wind Energy, Technical University of Denmark, Roskilde, 4000, Denmark
  • 2Danish Meteorological Institute, Copenhagen, 2100, Denmark
  • 3Royal Netherlands Meteorological Institute, De Bilt, 3731 GA, Netherlands

Abstract. Carrying a laser Doppler instrument, the Aeolus satellite was launched in 2018, becoming the first mission for atmospheric wind profile measurements from space. Before utilizing the Aeolus winds for different applications, evaluating its data quality is essential. With the help of ground-based wind profiling radar measurements and the European Centre for Medium-Range Weather Forecasts (ECMWF) model equivalents, this study quantifies the error characteristics of Aeolus L2B (baseline-11) near real time horizontal line-of-sight winds across Australia by using both inter-comparison and triple collocation analysis. The results of the inter-comparison analysis indicate that both Rayleigh-clear winds and Mie-cloudy winds are in good agreement with the ground-based radar measurements with overall absolute mean biases smaller than 0.7 m s-1 and correlation coefficients larger than 0.9. Moreover, taking radar measurements as reference data set, Mie-cloudy winds are shown to be more precise than Rayleigh-clear winds with an overall random error of 5.81 m s-1 for Rayleigh-clear winds and 4.14 m s-1 for Mie-cloudy winds. Similar results were also found from triple collocation analysis, with error standard deviations of 5.61 m s-1 and 3.50 m s-1 for Rayleigh-clear winds and Mie-cloudy winds, respectively. In addition, the Mie channel is shown to be better capable of capturing the wind in the planetary boundary layer (< 1,500 m). The findings of this study demonstrate the good performance of space-borne Doppler lidar for wind profiling and provide valuable information for data assimilation in numerical weather prediction.

Haichen Zuo et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-63', Anonymous Referee #1, 12 Mar 2022
    • AC1: 'Reply on RC1', Haichen Zuo, 12 May 2022
  • RC2: 'Comment on amt-2022-63', Anonymous Referee #2, 15 Apr 2022
    • AC2: 'Reply on RC2', Haichen Zuo, 12 May 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-63', Anonymous Referee #1, 12 Mar 2022
    • AC1: 'Reply on RC1', Haichen Zuo, 12 May 2022
  • RC2: 'Comment on amt-2022-63', Anonymous Referee #2, 15 Apr 2022
    • AC2: 'Reply on RC2', Haichen Zuo, 12 May 2022

Haichen Zuo et al.

Data sets

Aeolus Online Dissemination System European Space Agency https://aeolus-ds.eo.esa.int/oads/access/

Wind Profiler Observations, Part of the Met Office MetDB System Met Office https://catalogue.ceda.ac.uk/uuid/9e22544a66ba7aa902ae431b1ed609d6

Haichen Zuo et al.

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Short summary
Aeolus satellite was launched in 2018 for global wind profile measurement. After the successful operation, the error characteristics of Aeolus wind products has not yet been studied over Australia. To complement earlier validation studies, we evaluated the Aeolus Level-2B11 wind product over Australia with ground-based wind profiling radar measurements and numerical weather prediction model equivalents. The results show that the Aeolus can detect winds with sufficient accuracy over Australia.