Improved ozone DIAL retrievals in the upper troposphere and lower stratosphere using an optimal estimation method

Farhani Ghazal; Sica Robert J.; Godin-Beekmann Sophie; Ancellet Gerard; Haefele Alexander

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Improved ozone DIAL retrievals in the upper troposphere and lower stratosphere using an optimal estimation method

机译：使用最佳估计方法改善上层对流层和较低平流层中的臭氧拨号检索

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We have implemented a first-principle optimal estimation method to retrieve ozone density profiles using simultaneously tropospheric and stratospheric differential absorption lidar (DIAL) measurements. Our retrieval extends from 2.5 km to about 42 km in altitude, and in the upper troposphere and the lower stratosphere (UTLS) it shows a significant improvement in the overlapping region, where the optimal estimation method (OEM) can retrieve a single ozone profile consistent with the measurements from both lidars. Here stratospheric and tropospheric measurements from the Observatoire de Haute Provence are used, and the OEM retrievals in the UTLS region compared with coincident ozonesonde measurements. The retrieved ozone profiles have a small statistical uncertainty in the UTLS region relative to individual determinations of ozone from each lidar, and the maximum statistical uncertainty does not exceed a maximum of 7%. (C) 2019 Optical Society of America

机译：我们已经实现了一种使用同时对流层和平坦型微分吸收激光雷达（拨号）测量来检索臭氧密度谱的第一原理最佳估计方法。我们的检索延伸到海拔2.5千米至约42千米，在上层对流层和下划线（UTLS）中，它显示了重叠区域的显着改善，其中最佳估计方法（OEM）可以检索单个臭氧配置文件一致从两个楣的测量。这里使用了Joveratoatire de Haute Provence的Stratospheric和对流层测量，而UTLS区域的OEM检索与重合臭氧地区测量相比。检索到的臭氧型材在UTLS区域中具有小的统计不确定性，相对于来自每个激光雷达的臭氧的单独测定，并且最大统计不确定性不会超过7％。（c）2019年光学学会

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《Applied optics》 |2019年第6期|共12页
作者
Farhani Ghazal; Sica Robert J.; Godin-Beekmann Sophie; Ancellet Gerard; Haefele Alexander;
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Univ Western Ontario Dept Phys &

Astron 1151 Richmond St London ON N6A 3K7 Canada;

Univ Western Ontario Dept Phys &

Astron 1151 Richmond St London ON N6A 3K7 Canada;

Observ Versailles St Quentin En Yvelines F-78280 Guyancourt France;

Observ Versailles St Quentin En Yvelines F-78280 Guyancourt France;

Fed Off Meteorol &

Climatol MeteoSwiss CH-1530 Payerne Switzerland;

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Improved ozone DIAL retrievals in the upper troposphere and lower stratosphere using an optimal estimation method

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