The Analysis of Capabilities of Neural Networks in CO2 Sounding with Spaceborne IPDA-Lidar with the Use of Different A Priori Data


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

详细

The possibility of retrieving, using a neural network, the columnar carbon dioxide concentration profile when sounding from a space orbit of 450 km and from a balloon at altitudes of 23 and 10 km are analyzed. The use of a priori data on temperature, pressure, and reflected and scattered signals is considered. The errors of retrieval of the columnar CO2 are 0.15% and 0.5% at altitudes lower than 2 km for lidar with a telescope diameter of 1 m and laser pulse energy of 50 μJ at a resolution of 60 km.

作者简介

G. Matvienko

V.E. Zuev Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences

编辑信件的主要联系方式.
Email: mgg@iao.ru
俄罗斯联邦, Tomsk, 634055

A. Sukhanov

V.E. Zuev Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences

编辑信件的主要联系方式.
Email: say@iao.ru
俄罗斯联邦, Tomsk, 634055

S. Babchenko

V.E. Zuev Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences

编辑信件的主要联系方式.
Email: bsv@iao.ru
俄罗斯联邦, Tomsk, 634055

补充文件

附件文件
动作
1. JATS XML

版权所有 © Pleiades Publishing, Ltd., 2019