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Iterative method for the retrieval of the aerosol backscatter coefficient and the Angstrom exponent from bi-wavelength lidar data in low-transmittance atmospheres

机译:从低透射率大气中检索气溶胶反向散射系数和宽焦延长数据的迭代方法

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A method based on the advantage of a bi-wavelength lidar system has been developed and tested. The method departs from the fact that in nearly transparent atmospheres (weak extinctions), the ratio of the lidar signals at both wavelengths gives the Angstrom exponent in backscatter with very low uncertainty. The method consists in (i) assuming a linear relationship between the Angstrom exponent in backscatter and the Angstrom exponent in extinction (usually called Angstrom exponent), (ii) approximating by a first order development the ratio of the transmittances, (iii) and forcing the resulting Angstrom exponent. Profiles of the Angstrom exponent, and the aerosol backscatter coefficient at 1064 and 532 nm were retrieved. The aerosol backscatter coefficient profiles were compared to Klett inversion results in the lowest part of the atmosphere containing aerosols, [0-3 km], in a rural environment in summertime: the agreement is better than 12 % at 1064 nm, and better than 35 % at 532 nm, indicating a greater dependency to the initial assumptions in the visible range.
机译:已经开发并测试了基于双波长激光雷达系统的优点的方法。该方法从几乎透明的大气(薄弱灭绝)中脱离了这一事实,在两个波长下的LIDAR信号的比率使埃克斯特罗姆在反向散射中具有非常低的不确定性。该方法包括(i)假设反向散射中的埃赫斯特·指数与灭火(通常称为埃克斯特罗姆指数)中的埃克斯特罗姆指数之间的线性关系,(ii)近似通过第一顺序开发透射率(iii)和迫使的比率由此产生的埃斯特罗姆指数。收听埃颅指数的谱和1064和532nm处的气溶胶反向散射系数。将气溶胶背散频系数谱与克特特反演的结果进行比较,在夏季农村环境中含有气溶胶的大气层的最低部分:协议优于1064纳米的12%,而优于35 %在532 nm处,表示对可见范围中的初始假设的更大依赖性。

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