A neural network aerosol-typing algorithm based on lidar data
A neural network aerosol-typing algorithm based on lidar data
About this item
Full title
Author / Creator
Publisher
Katlenburg-Lindau: Copernicus GmbH
Journal title
Language
English
Formats
Publication information
Publisher
Katlenburg-Lindau: Copernicus GmbH
Subjects
More information
Scope and Contents
Contents
Atmospheric aerosols play a crucial role in the Earth's system,
but their role is not completely understood, partly because of the large
variability in their properties resulting from a large number of possible
aerosol sources. Recently developed lidar-based techniques were able to
retrieve the height distributions of optical and microp...
Alternative Titles
Full title
A neural network aerosol-typing algorithm based on lidar data
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f295c4c465eb41c78bf03c277e3054ba
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f295c4c465eb41c78bf03c277e3054ba
Other Identifiers
ISSN
1680-7324,1680-7316
E-ISSN
1680-7324
DOI
10.5194/acp-18-14511-2018
