Ground-based lidar network observation of aerosols and clouds in AD-Net

Material type: 文書・図像類

Author: NISHIZAWA, Tomoakiほか

Publisher: Chiba University. Center for Environmental Remote Sensing

Publication date: 2013-07-04

Material Format: Digital

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Note (General)：: type:text[ABSTRACT]The recent status and future strategy of the ground based lidar network observation in AD-Net is presented. We have constructed lid...

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Material Type: 文書・図像類
Title: Ground-based lidar network observation of aerosols and clouds in AD-Net
Author/Editor: NISHIZAWA, Tomoaki
SUGIMOTO, Nobuo
MATSUI, Ichiro
SHIMIZU, Atsushi
HIGURASHI, Akiko
Author Heading: NISHIZAWA, Tomoaki
SUGIMOTO, Nobuo
MATSUI, Ichiro
SHIMIZU, Atsushi
HIGURASHI, Akiko
Publication, Distribution, etc.: Chiba University. Center for Environmental Remote Sensing
Publication Date: 2013-07-04
Publication Date (W3CDTF): 2013-07-04
Periodical title: Proceedings of the CEReS international symposium = CEReS国際シンポジウム資料集
No. or year of volume/issue: 19
Volume: 19
Pages: 19-19
Text Language Code: eng
Target Audience: 一般
Note (General): type:text
[ABSTRACT]The recent status and future strategy of the ground based lidar network observation in AD-Net is presented. We have constructed lidar network using dual-wavelength (532 and 1064nm) polarization (532nm) Mie lidars covering a wide area in East Asia (AD-Net: the Asian Dust and aerosol lidar observation NETwork) and conducted aerosol and cloud observation for more than ten years in cooperation with many researchers. Some sites in AD-Net have joined in SKYNET and provided information on vertical structures of aerosols and clouds. An algorithm to estimate vertical profiles of spherical aerosols (air pollution) and nonspherical aerosols (mineral dust) separately using the lidar data has been developed. The derived aerosol component data have been recently used in assimilation of numerical models and evaluation of impacts on human health and vegetation. Further, we have proceeded to improve the network lidar system by introducing more advanced lidar techniques (Raman lidar and High spectral resolution lidar techniques) in order to obtain more detailed optical properties of aerosols and clouds and to develop aerosol retrieval algorithms to classify more aerosol components using the lidar data. Synergy algorithms using data of the lidars and passive sensors such as a skyradiometer are essential for understanding complicated optical and microphysical properties of aerosols comprehensively. We will develop a synergy algorithm to estimate vertical distributions of several aerosol components and their vertically mean mode radii using lidar and skyradiometer data. In the workshop, we will present ideas of the synergy algorithms as well as reporting recent development of AD-Net.
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 千葉大学 : 千葉大学学術成果リポジトリ