%0 Book Section %1 Jalali-2017-ilrc %A Jalali, A %A Sica, R %A Haefele, A %D 2017 %E Nicolae, D. %I EDP Science %K ilrc, lidar, pcl sica water-vapour, %T Validation of Optimal Estimation Method Retrievals of Middle Atmospheric Temperature %X OEM retrievals of temperature from lidar measurements are robust and practical (Sica and Haefele, 2015). They offer significant improvements over traditional methods. We will show the 500+ night climatology from the Purple Crow Lidar and the improvements offered using OEM, including the quantitative determination of the top altitude of the retrieval and the evaluation of the various systematic and random uncertainties.

@incollection{Jalali-2017-ilrc, abstract = {OEM retrievals of temperature from lidar measurements are robust and practical (Sica and Haefele, 2015). They offer significant improvements over traditional methods. We will show the 500+ night climatology from the Purple Crow Lidar and the improvements offered using OEM, including the quantitative determination of the top altitude of the retrieval and the evaluation of the various systematic and random uncertainties.}, added-at = {2019-04-05T21:27:46.000+0200}, author = {Jalali, A and Sica, R and Haefele, A}, biburl = {https://www.bibsonomy.org/bibtex/2ff8a19ada65e4b813973aed756e1cd4a/bobsica}, editor = {Nicolae, D.}, interhash = {901621017805a693d260a618e50374da}, intrahash = {ff8a19ada65e4b813973aed756e1cd4a}, keywords = {ilrc, lidar, pcl sica water-vapour,}, publisher = {EDP Science}, timestamp = {2019-04-05T21:27:46.000+0200}, title = {Validation of Optimal Estimation Method Retrievals of Middle Atmospheric Temperature}, year = 2017 }