K. D. Knobelspiesse
Ames Research Center
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Featured researches published by K. D. Knobelspiesse.
Journal of Geophysical Research | 2014
Philip B. Russell; Meloe Kacenelenbogen; J. M. Livingston; Otto P. Hasekamp; Sharon Burton; Gregory L. Schuster; Matthew S. Johnson; K. D. Knobelspiesse; J. Redemann; Brent N. Holben
Classifying observed aerosols into types (e.g., urban-industrial, biomass burning, mineral dust, maritime) helps to understand aerosol sources, transformations, effects, and feedback mechanisms; to improve accuracy of satellite retrievals; and to quantify aerosol radiative impacts on climate. The number of aerosol parameters retrieved from spaceborne sensors has been growing, from the initial aerosol optical depth (AOD) at one or a few wavelengths to a list that now includes AOD, complex refractive index, single scattering albedo (SSA), and depolarization of backscatter, each at several wavelengths, plus several particle size and shape parameters. Making optimal use of these varied data products requires objective, multidimensional analysis methods. We describe such a method, which makes explicit use of uncertainties in input parameters. It treats an N-parameter retrieved data point and its N-dimensional uncertainty as an extended data point, E. It then uses a modified Mahalanobis distance, DEC, to assign an observation to the class (cluster) C that has minimum DEC from the point. We use parameters retrieved from the Aerosol Robotic Network (AERONET) to define seven prespecified clusters (pure dust, polluted dust, urban-industrial/developed economy, urban-industrial/developing economy, dark biomass smoke, light biomass smoke, and pure marine), and we demonstrate application of the method to a 5 year record of retrievals from the spaceborne Polarization and Directionality of the Earths Reflectances 3 (POLDER 3) polarimeter over the island of Crete, Greece. Results show changes of aerosol type at this location in the eastern Mediterranean Sea, which is influenced by a wide variety of aerosol sources.
Archive | 2015
K. D. Knobelspiesse; Brian Cairns; Hiren Jethva; Meloe Kacenelenbogen; Michal Segal-Rosenheimer; Omar Torres
The direct and indirect radiative effects of aerosols suspended in the atmosphere above clouds (ACA) are a highly uncertain component of both regional and global climate. Much of this uncertainty is observational in nature most orbital remote sensing algorithms were not designed to simultaneously retrieve aerosol and cloud optical properties in the same vertical column.
Remote Sensing of Environment | 2015
Mikhail D. Alexandrov; Brian Cairns; Andrzej P. Wasilewski; Andrew S. Ackerman; Matthew J. McGill; John E. Yorks; Dennis L. Hlavka; Steven Platnick; G. Thomas Arnold; Bastiaan van Diedenhoven; Jacek Chowdhary; Matteo Ottaviani; K. D. Knobelspiesse
Atmospheric Measurement Techniques | 2014
K. D. Knobelspiesse; B. van Diedenhoven; Alexander Marshak; Stephen E. Dunagan; Brent N. Holben; I. Slutsker
Archive | 2017
J. Redemann; Robert Wood; Paquita Zuidema; David J. Diner; G. Van Harten; Feng Xu; Brian Cairns; K. D. Knobelspiesse; M. Segal Rozenhaimer
2015 AGU Fall Meeting | 2015
K. D. Knobelspiesse
Journal of Geophysical Research | 2014
Philip B. Russell; Meloe Kacenelenbogen; J. M. Livingston; Otto P. Hasekamp; Sharon Burton; Gregory L. Schuster; Matthew S. Johnson; K. D. Knobelspiesse; J. Redemann; Brent N. Holben
2014 AGU Fall Meeting | 2014
K. D. Knobelspiesse; J. Redemann
2014 AGU Fall Meeting | 2014
K. D. Knobelspiesse
13th Conference on Cloud Physics/13th Conference on Atmospheric Radiation (28 June–2 July 2010) | 2010
K. D. Knobelspiesse