Abstract
Abstract. 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 12×12 km2 extended up to 3 km a.m.s.l. (above mean
sea level) height with a 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 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) 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 to 5 (0 to 2.5)∘, the wind speed is approximately −1 to 3 m s−1 (−1 to 0.5 m s−1), and the vertical velocity is −0.2 to 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. 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.
Funder
National Research Foundation of Korea
Korea Meteorological Administration
Cited by
2 articles.
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