Aerosol Optical and Micro-Physical Characteristic Derived from AERONET in Kenya*
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چکیده
منابع مشابه
Aerosol properties derived from AERONET data
Classification of aerosol properties derived from AERONET direct sun data G. P. Gobbi, Y. J. Kaufman, I. Koren, and T. F. Eck Inst. Scienze dell’ Atmosfera e del Clima, CNR, Rome, Italy NASA/Goddard Space Flight Center, 613.2, Greenbelt MD 20771, USA Dep. of Environ. Sciences Weizmann Institute, Rehovot 76100, Israel GEST, University of Maryland, Baltimore, MD, USA Received: 25 July 2006 – Acce...
متن کاملClassification of aerosol properties derived from AERONET direct sun data
Aerosol spectral measurements by sunphotometers can be characterized by three independent pieces of information: 1) the optical thickness (AOT), a measure of the column aerosol concentration, 2) the optical thickness average spectral dependence, given by the Angstrom exponent (α), and 3) the spectral curvature of α (δα). We propose a simple graphical method to visually convert (α, δα) to the co...
متن کاملPhysical and optical aerosol properties at the Dutch North Sea coast based on AERONET observations
Sun photometer measurements at the AERONET station at the North Sea coast in The Hague (The Netherlands) provide a climatology of optical and physical aerosol properties for the area. Results are presented from the period January 2002 to July 2003. For the analysis and interpretation these data are coupled to chemical aerosol data from a nearby station of the Dutch National Air Quality Network....
متن کاملComparison of MODIS and AERONET derived aerosol optical depth over the Ganga Basin, India
The Moderate Resolution Imaging Spectroradiometer (MODIS) onboard EOS Terra measures global aerosol optical depth and optical properties since 2000. MODIS aerosol products are freely available and are being used for numerous studies. In this paper, we present a comparison of aerosol optical depth (AOD) retrieved from MODIS with Aerosol Robotic Network (AERONET) data for the year 2004 over Kanpu...
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ژورنال
عنوان ژورنال: OALib
سال: 2018
ISSN: 2333-9721,2333-9705
DOI: 10.4236/oalib.1104551