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New dynamic NNORSY ozone profile climatology.

Authors :
Kaifel, A. K.
Felder, M.
DeClercq, C.
Lambert, J.-C.
Source :
Atmospheric Measurement Techniques Discussions. 2012, Vol. 5 Issue 1, p775-812. 38p. 2 Charts, 15 Graphs.
Publication Year :
2012

Abstract

The article presents a study which describes the dynamic Neural Network Ozone Retrieval System (NNORSY)-based ozone profile climatology. The study compares output ozone profiles, correlative measurements and lidar stations in an effort to explore the geophysical soundness of the climatology. It also illustrates the ozone profile measurement data sets and the NNORSY processing scheme.

Subjects

Subjects :
*ATMOSPHERIC models
*CLIMATOLOGY methodology
*ARTIFICIAL neural networks
*ATMOSPHERIC ozone
*OPTICAL radar in atmospheric chemistry
*GEOPHYSICAL instruments

Details

Language :
English
ISSN :
18678610
Volume :
5
Issue :
1
Database :
Academic Search Index
Journal :
Atmospheric Measurement Techniques Discussions
Publication Type :
Academic Journal
Accession number :
74024183
Full Text :
https://doi.org/10.5194/amtd-5-775-2012
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