Cloud glaciation temperature estimation from passive remote sensing data with evolutionary computing-Reference-Cited by-同舟云学术

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Cloud glaciation temperature estimation from passive remote sensing data with evolutionary computing

Published:2016-11-18 Issue:22 Volume:121 Page:13,591-13,608
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Carro-Calvo L.¹²^ORCID,Hoose C.¹^ORCID,Stengel M.³^ORCID,Salcedo-Sanz S.⁴^ORCID

Affiliation:

1. Institute of Meteorology and Climate Research; Karlsruhe Institute of Technology; Karlsruhe Germany

2. Now at Department of Astrophysics and Atmospheric Sciences; Universidad Complutense de Madrid; Madrid Spain

3. Deutscher Wetterdienst; Offenbach Germany

4. Department of Signal Processing and Communications; Universidad de Alcalá; Madrid Spain

Funder

Helmholtz Association through the Climate Initiative REKLIM

President's Initiative and Networking Fund (VH-NG-620)

Spanish Ministerial Commission of Science and Technology (MICYT)

Comunidad Autónoma de Madrid

Publisher

American Geophysical Union (AGU)

Subject

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

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016JD025552/fullpdf

Reference69 articles.

1. A new multimodel ensemble method using nonlinear genetic algorithm: An application to boreal winter surface air temperature and precipitation prediction;Ahn;J. Geophys. Res. Atmos.,2016

2. Retrieval of cloud microphysical parameters from 94-GHz radar doppler power spectra;Babb;J. Atmos. Oceanic Technol.,1999

3. MODIS cloud-top property refinements for collection 6;Baum;J. Appl. Meteorol. Climatol.,2012

4. A comparison of selection schemes used in evolutionary algorithms;Blickle;Evol. Comput.,1996

5. Bravy , B. G. G. K. Vasiliev V. Y. Agroskin 2002 Recognition of composition and of microphysical characteristics of aerosol clouds in multifrequency sounding

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