The Application of Sea-Surface Wind Detection with Doppler Lidar in Olympic Sailing |
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| Authors: | WANG Gaili LIU Liping LIU Zhishen LU Bo and MU Rong |
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| Institution: | State Key Laboratory of Severe Weather Chinese Academy of Meteorological Science, Beijing 100081,State Key Laboratory of Severe Weather Chinese Academy of Meteorological Science, Beijing 100081,Ocean University of China, Qingdao 266100,Shandong Meteorological Administration, Jinan 250031,Chongqing Meteorological Administration, Chongqing 401147 |
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| Abstract: | The mobile incoherent Doppler lidar (MIDL), which was jointly developed by
State Key Laboratory of Severe Weather (LaSW) of the Chinese Academy of
Meteorological Sciences (CAMS) and Ocean University of China, provided
meteorological services during the Olympic sailing events in Qingdao in
2008. In this study, two experiments were performed based on these
measurements. First, the capabilities of MIDL detection of sea-surface winds
were investigated by comparing its radial velocities with those from a sea
buoy. MIDL radial velocity was almost consistent with sea-buoy data; both
reflected the changes in wind with time. However, the MIDL data was 0.5 m
s-1 lower on average than the sea-buoy data due to differences in
detection principle, sample volume, sample interval, spatial and temporal
resolution. Second, the wind fields during the Olympic sailing events were
calculated using a four-dimensional variation data assimilation (4DVAR)
algorithm and were evaluated by comparing them with data from a sea buoy.
The results show that the calculations made with the 4DVAR wind retrieval
method are able to simulate the fine retrieval of sea-surface wind
data---the retrieved wind fields were consistent with those of sea-buoy
data. Overall, the correlation coefficient of wind direction was 0.93, and
the correlation coefficient of wind speed was 0.70. The distribution of
retrieval wind fields was consistent with that of MIDL radial velocity; the
root-mean-square error between them had an average of only 1.52 m s-1. |
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| Keywords: | Doppler lidar detecting sea-surface winds 4DVAR wind retrieval |
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