Preprints
https://doi.org/10.5194/amt-2022-218
https://doi.org/10.5194/amt-2022-218
 
01 Aug 2022
01 Aug 2022
Status: this preprint is currently under review for the journal AMT.

High Resolution 3D Winds Derived from a Newly Developed WISSDOM Synthesis Scheme using Multiple Doppler Lidars and Observations

Chia-Lun Tsai1, Kwonil Kim1, Yu-Chieng Liou2, and Gyuwon Lee1 Chia-Lun Tsai et al.
  • 1Department of Astronomy and Atmospheric Sciences, Center for Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu, South Korea
  • 2Department of Atmospheric Sciences, National Central University, Jhongli, Taiwan

Abstract. A WISSDOM (Wind Synthesis System using Doppler Measurements) synthesis scheme was developed to derive high-resolution 3-dimensional (3D) winds under clear-air conditions. From this variational-based scheme, detailed wind information was obtained from scanning Doppler lidars, automatic weather stations (AWSs), sounding observations, and local reanalysis datasets (LDAPS, Local Data Assimilation and Prediction System), which were utilized as constraints to minimize the cost function. The objective of this study is to evaluate the performance and accuracy of derived 3D winds from this newly developed scheme. A strong wind event was selected to demonstrate its performance over complex terrain in Pyeongchang, South Korea. The size of the test domain is 12 × 12 km2 extended up to 3 km height mean sea level (MSL) with remarkably high horizontal and vertical resolution of 50 m. The derived winds reveal that reasonable patterns were explored from a control run, as they have high similarity with the sounding observations. The results of intercomparisons show that the correlation coefficients between derived horizontal winds and sounding observations are 0.97 and 0.87 for u- and v-component winds, respectively, and the averaged bias (root mean square deviation, RMSD) of horizontal winds is between −0.78 and 0.09 (1.72 and 1.65) m s−1. The correlation coefficients between WISSDOM-derived winds and lidar QVP (quasi-vertical profile) are 0.84 and 0.35 for u- and v-component winds, respectively, and the averaged bias (RMSD) of horizontal winds is between 2.83 and 2.26 (3.69 and 2.92) m s−1. The statistical errors also reveal a satisfying performance of the retrieved 3D winds; the median values of wind directions are −5~5 (0~2.5) degrees, the wind speed is approximately −1~3 m s−1 (−1~0.5 m s−1) and the vertical velocity is −0.2~0.6 m s−1 compared with the lidar QVP (sounding observations). A series of sensitivity tests with different weighting coefficients, radius of influence (RI) in interpolation and various combination of different datasets were also performed, and the results indicate that the present setting of the control run is the best reference to WISSDOM synthesis in this event.

Chia-Lun Tsai et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-218', Anonymous Referee #1, 25 Aug 2022
    • AC1: 'Reply on RC1', GyuWon Lee, 14 Oct 2022
  • RC2: 'Comment on amt-2022-218', Anonymous Referee #2, 28 Aug 2022
    • AC2: 'Reply on RC2', GyuWon Lee, 14 Oct 2022

Chia-Lun Tsai et al.

Chia-Lun Tsai et al.

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Short summary
Since the winds in clear-air conditions usually play an important role in the initiations of various weather systems and phenomena. A modified WISSDOM synthesis scheme was developed to derive high-quality and high-spatial resolution of 3D winds under clear-air conditions. The performance and accuracy of derived 3D winds from this newly developed scheme were be well evaluated associated with an extreme strong wind event over complex terrain in Pyeongchang, South Korea.