Investigation of a Complex Nocturnal Flow in Owens Valley, California Using Coherent Doppler Lidar

被引:10
作者
Choukulkar, Aditya [1 ]
Calhoun, Ronald [1 ]
Billings, Brian [2 ]
Doyle, James [3 ]
机构
[1] Arizona State Univ, Environm Remote Sensing Grp, Tempe, AZ 85287 USA
[2] CNR, Monterey, CA USA
[3] USN, Mesoscale Modeling Sect, Res Lab, Monterey, CA USA
基金
美国国家科学基金会;
关键词
Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS); Lidar; Mountain meteorology; Optimal interpolation; Owens Valley; Terrain-Induced Rotor Experiment (T-REX); Vector retrieval; ERROR COVARIANCE FUNCTIONS; BOUNDARY-LAYER STRUCTURES; ROTOR EXPERIMENT; RETRIEVAL; WINDS; SLOPES; MODEL;
D O I
10.1007/s10546-012-9729-2
中图分类号
P4 [大气科学(气象学)];
学科分类号
070601 [气象学];
摘要
A study of an interesting meteorological episode over the Owens Valley, California, USA during the Terrain-Induced Rotor EXperiment was conducted using a recently adapted statistical interpolation method to retrieve wind-velocity vectors from Doppler lidar data. This vector retrieval method has been adapted from radar data assimilation techniques. Results show that the method allows better preservation of local variations in the flow field than other techniques. In addition, a high resolution Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS (R)) run is used to understand the large-scale flow within the valley and compared with lidar retrievals. Observations from 1030 UTC to 1230 UTC (0230 local time to 0430 local time) on March 27, 2006 are presented. Lidar observations show complex and uncharacteristic flows such as sudden bursts of westerly cross-valley wind mixing with the dominant up-valley wind. Model results from COAMPS and other in-situ instrumentation are used to corroborate and complement these observations. The optimal interpolation technique for Doppler lidar data vector retrieval appears well suited for scenarios with complex spatial variations in the flow field.
引用
收藏
页码:359 / 378
页数:20
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