A multiparameter aerosol classification method and its application to retrievals from spaceborne polarimetry-Reference-Cited by-同舟云学术

A multiparameter aerosol classification method and its application to retrievals from spaceborne polarimetry

Published:2014-08-19 Issue:16 Volume:119 Page:9838-9863
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Russell Philip B.¹,Kacenelenbogen Meloë²,Livingston John M.³,Hasekamp Otto P.⁴,Burton Sharon P.⁵,Schuster Gregory L.⁵,Johnson Matthew S.¹,Knobelspiesse Kirk D.¹,Redemann Jens¹,Ramachandran S.⁶,Holben Brent⁷

Affiliation:

1. NASA Ames Research Center; Moffett Field California USA

2. Bay Area Environmental Research Institute; Sonoma California USA

3. SRI International; Menlo Park California USA

4. SRON Netherlands Institute for Space Research; Utrecht Netherlands

5. NASA Langley Research Center; Hampton Virginia USA

6. Physical Research Laboratory; Ahmedabad India

7. NASA Goddard Space Flight Center; Greenbelt Maryland USA

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Reference68 articles.

1. Inferring absorbing organic carbon content from AERONET data;Arola;Atmos. Chem. Phys.,2011

2. Spectral absorption properties of atmospheric aerosols;Bergstrom;Atmos. Chem. Phys.,2007

3. Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation;Bey;J. Geophys. Res.,(2001)

4. Aerosol classification using airborne High Spectral Resolution Lidar measurements-Methodology and examples;Burton;Atmos. Meas. Tech.,2012

5. Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask;Burton;Atmos. Meas. Tech.,2013

Cited by 109 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Aerosol classification by application of machine learning spectral clustering algorithm;Atmospheric Pollution Research;2024-03

2. Cloud top heights and aerosol columnar properties from combined EarthCARE lidar and imager observations: the AM-CTH and AM-ACD products;Atmospheric Measurement Techniques;2023-12-13

3. Insights on aerosol properties using two decades-long ground-based remote sensing datasets in Moldova, Eastern Europe;Environmental Pollution;2023-11

4. Application of Gaussian Mixture Models for aerosol type analysis in China;Atmospheric Research;2023-10

5. Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street;Reviews of Geophysics;2023-06