Removal of the Vertical Structure Ambiguity in the Thermodynamic Retrieval from Multiple-Doppler Radar Synthesized Wind Fields

被引:1
|
作者
Liou, Yu-Chieng [1 ]
Teng, Yung-Lin [1 ]
机构
[1] Natl Cent Univ, Dept Atmospher Sci, Taoyuan, Taiwan
关键词
Radars; Radar observations; Optimization; Variational analysis; AFRICAN SQUALL-LINE; IMMERSED BOUNDARY METHOD; FRONTAL RAINBAND; TEMPERATURE PERTURBATIONS; MATCHING MODELS; PRESSURE; KINEMATICS; VARIABLES; INITIALIZATION; PRECIPITATION;
D O I
10.1175/MWR-D-23-0001.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
It has been long recognized that in the retrieved thermodynamic fields using multiple-Doppler radar synthesized winds, an unknown constant exists on each horizontal level, leading to an ambiguity in the retrieved verti-cal structure. In this study, the traditional thermodynamic retrieval scheme is significantly improved by the implemen-tation of the Equation of State (EoS) as an additional constraint. With this new formulation, the ambiguity of the vertical structure can be explicitly identified , removed from the retrieved three-dimensional thermodynamic fields. The only in situ independent observations needed to perform the correction are the pressure and temperature meas-urements taken at a single surface station. If data from multiple surface stations are available, a strategy is proposed to obtain a better estimate of the unknown constant. Experiments in this research were conducted under the observa-tion system simulation experiment (OSSE) framework to demonstrate the validity of the new approach. Problems and possible solutions associated with using real datasets and potential future extended applications of this new method are discussed.
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页码:1427 / 1442
页数:16
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