TY - JOUR
T1 - High-resolution 3D winds derived from a modified WISSDOM synthesis scheme using multiple Doppler lidars and observations
AU - Tsai, Chia Lun
AU - Kim, Kwonil
AU - Liou, Yu Chieng
AU - Lee, Gyuwon
N1 - Publisher Copyright:
© Copyright:
PY - 2023/2/16
Y1 - 2023/2/16
N2 - The 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 modified 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 12×12gkm2 extended up to 3gkmga.m.s.l. (above mean sea level) height with a remarkably high horizontal and vertical resolution of 50gm. The derived winds reveal that reasonable patterns were explored from a control run, as they have significant 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 (1.77 and 1.65)gmgs-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)gmgs-1. The statistical errors also reveal a satisfying performance of the retrieved 3D winds; the median values of wind directions are -5 to 5 (0 to 2.5)g, the wind speed is approximately -1 to 3gmgs-1 (-1 to 0.5gmgs-1), and the vertical velocity is -0.2 to 0.6gmgs-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. The results indicate that the present setting of the control run is the optimal reference to WISSDOM synthesis in this event and will help verify the impacts against various scenarios and observational references in this area.
AB - The 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 modified 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 12×12gkm2 extended up to 3gkmga.m.s.l. (above mean sea level) height with a remarkably high horizontal and vertical resolution of 50gm. The derived winds reveal that reasonable patterns were explored from a control run, as they have significant 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 (1.77 and 1.65)gmgs-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)gmgs-1. The statistical errors also reveal a satisfying performance of the retrieved 3D winds; the median values of wind directions are -5 to 5 (0 to 2.5)g, the wind speed is approximately -1 to 3gmgs-1 (-1 to 0.5gmgs-1), and the vertical velocity is -0.2 to 0.6gmgs-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. The results indicate that the present setting of the control run is the optimal reference to WISSDOM synthesis in this event and will help verify the impacts against various scenarios and observational references in this area.
UR - http://www.scopus.com/inward/record.url?scp=85148723464&partnerID=8YFLogxK
U2 - 10.5194/amt-16-845-2023
DO - 10.5194/amt-16-845-2023
M3 - Article
AN - SCOPUS:85148723464
SN - 1867-1381
VL - 16
SP - 845
EP - 869
JO - Atmospheric Measurement Techniques
JF - Atmospheric Measurement Techniques
IS - 3
ER -