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Method for inverting aerogel microphysical characteristics based on multi-wavelength laser radar

A technology of lidar and physical characteristics, applied in the field of lidar atmospheric detection and inversion, can solve the problems of reducing the dependence of data lookup table values, time-consuming, low execution efficiency, etc., to achieve real-time automatic processing and analysis, and improve execution efficiency. , the effect of improving the accuracy

Active Publication Date: 2019-08-23
ZHEJIANG UNIV
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Problems solved by technology

This process is not only time-consuming, but also not automated enough, and may be influenced by the subjective experience of data analysis experts
The inversion method based on minimizing the deviation is not only greatly affected by the look-up table itself, but also sensitive to noise
NASA scientist E. Chemyakin et al. proposed an aerosol microphysical property inversion method based on permutation and averaging. This method can be executed automatically, and it reduces the dependence on the value of the data lookup table itself, and has certain influence on data noise. Inhibition capability, but the price is that the execution efficiency of this method is relatively low, and it is difficult to deal with the input of more dimensional optical characteristics

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  • Method for inverting aerogel microphysical characteristics based on multi-wavelength laser radar
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  • Method for inverting aerogel microphysical characteristics based on multi-wavelength laser radar

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Embodiment Construction

[0033] The present invention will be described in detail below in conjunction with the embodiments and accompanying drawings, but the present invention is not limited thereto.

[0034] figure 1 It is the overall flowchart of the inversion algorithm of aerosol microphysical characteristics proposed by the present invention, including:

[0035] Step S1: Assume that the input optical characteristic parameters (backscatter coefficient β and extinction coefficient α) come from three wavelengths (Nd:YAG laser is used as the laser light source, and the detection wavelengths are 355nm, 532nm and 1064nm) high spectral resolution lidar / Raman LiDAR, that is, n=m=3. Then N=15 normalized optical characteristic parameters can be obtained, which are respectively:

[0036] B 1 =β(λ 1 ) / β 3 ,B 2 =β(λ 2 ) / β3 ,B 3 =β(λ 3 ) / β 3 ,

[0037] A 1 =α(λ 1 ) / α 3 ,A 2 =α(λ 2 ) / α 3 ,A 3 =α(λ 3 ) / α 3 ,

[0038] S 1,1 =α(λ 1 ) / β(λ 1 ), S 1,2 =α(λ 2 ) / β(λ 1 ),S 1,3 =α(λ 3 ) / β(λ ...

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Abstract

The invention discloses a method for inverting aerogel microphysical characteristics based on a multi-wavelength laser radar. The method comprises the following steps: inputting optical characteristicparameters, and performing normalization processing on the optical characteristic parameter to obtain an optical characteristic parameter; establishing a correlative lookup table between the microphysical characteristic parameter of the aerosol and the multi-wavelength optical characteristic parameter; computing the distance between the input optical characteristic parameter and each individual in the look-up table at an optical characteristic domain, and only reserving K individuals with the minimum distance as the range of a feasible solution; according to a Monte Carlo random sampling theory, generating NMC different search execution orders according to the probability sampling, and orderly solving to obtain NMC alternative solutions; and averaging NMC alternative solutions to obtain afinal inversion result of the aerogel microphysical characteristic parameter. Compared with the prior art, an operation of additionally inputting the auxiliary judgment information is avoided, the execution efficiency is high, and an application demand for laser radar mass data automatic processing can be satisfied.

Description

technical field [0001] The invention relates to laser radar atmospheric detection and inversion technology, in particular to a method for retrieving aerosol microphysical characteristics based on multi-wavelength laser radar. Background technique [0002] Aerosol-cloud interaction is one of the largest sources of uncertainty in climate change predictions. On the one hand, the aerosol-cloud interaction itself is a relatively complex system; on the other hand, it is due to the lack of aerosol-cloud interaction. Effectively monitor data. Lidar is widely used in the detection of atmospheric aerosols due to its high temporal and spatial resolution. The application of high spectral resolution lidar and Raman lidar has theoretically solved the mathematical underdetermination of "one equation and two unknowns" when ordinary Mie scattering lidar detects aerosol optical characteristic parameters (backscatter coefficient and extinction coefficient) Problems, improve the detection acc...

Claims

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Application Information

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IPC IPC(8): G01S17/95G01N15/00
CPCG01N15/00G01S17/95Y02A90/10
Inventor 刘东张与鹏柯举张凯
Owner ZHEJIANG UNIV
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