scholarly journals On the Importance of Household Production in Collective Models: Evidence from U.S. Data

2010 ◽  
Author(s):  
Olivier Donni ◽  
Eleonora Matteazzi
Keyword(s):  
Household Production ◽  
Collective Models

scholarly journals Entanglement entropy in collective models

2007 ◽  
Vol 2007 (01) ◽  
pp. P01015-P01015 ◽  
Author(s):  
Julien Vidal ◽  
Sébastien Dusuel ◽  
Thomas Barthel
Keyword(s):  
Entanglement Entropy ◽  
Collective Models

Longitudinal collective models in metal-molten salt solutions

1986 ◽  
Vol 19 (23) ◽  
pp. 4443-4461 ◽  
Author(s):  
G Chabrier ◽  
J P Hansen ◽  
J F Joanny
Keyword(s):  
Molten Salt ◽  
Salt Solutions ◽  
Collective Models

scholarly journals Spectral Derivatives of Optical Depth for Partitioning Aerosol Type and Loading

2021 ◽  
Vol 13 (8) ◽  
pp. 1544
Author(s):  
Tang-Huang Lin ◽  
Si-Chee Tsay ◽  
Wei-Hung Lien ◽  
Neng-Huei Lin ◽  
Ta-Chih Hsiao
Keyword(s):  
Optical Depth ◽  
Complex Refractive Index ◽  
Solar Spectrum ◽  
Collective Models ◽  
Anthropogenic Pollutants ◽  
Satellite Signal ◽  
Aerosol Compositions ◽  
Theoretical Simulations ◽  
Derivatives Of ◽  
Aerosol Index

Quantifying aerosol compositions (e.g., type, loading) from remotely sensed measurements by spaceborne, suborbital and ground-based platforms is a challenging task. In this study, the first and second-order spectral derivatives of aerosol optical depth (AOD) with respect to wavelength are explored to determine the partitions of the major components of aerosols based on the spectral dependence of their particle optical size and complex refractive index. With theoretical simulations from the Second Simulation of a Satellite Signal in the Solar Spectrum (6S) model, AOD spectral derivatives are characterized for collective models of aerosol types, such as mineral dust (DS) particles, biomass-burning (BB) aerosols and anthropogenic pollutants (AP), as well as stretching out to the mixtures among them. Based on the intrinsic values from normalized spectral derivatives, referenced as the Normalized Derivative Aerosol Index (NDAI), a unique pattern is clearly exhibited for bounding the major aerosol components; in turn, fractions of the total AOD (fAOD) for major aerosol components can be extracted. The subtlety of this NDAI method is examined by using measurements of typical aerosol cases identified carefully by the ground-based Aerosol Robotic Network (AERONET) sun–sky spectroradiometer. The results may be highly practicable for quantifying fAOD among mixed-type aerosols by means of the normalized AOD spectral derivatives.

Sign in / Sign up

Export Citation Format

Share Document