نتایج جستجو برای: aeronet

تعداد نتایج: 761  

2018
M. Antón L. Alados-Arboledas J. L. Guerrero-Rascado M. J. Costa J. C Chiu F. J. Olmo

This paper evaluates the relationship between the cloud modification factor (CMF) in the ultraviolet erythemal range and the cloud optical depth (COD) retrieved from the Aerosol Robotic Network (AERONET) “cloud mode” algorithm under overcast cloudy conditions (confirmed with sky images) at Granada, Spain, mainly for non-precipitating, overcast and relatively homogenous water clouds. Empirical C...

2014
J. Li B. E. Carlson A. A. Lacis

In this paper, we introduce the usage of a newly developed spectral decomposition technique – combined maximum covariance analysis (CMCA) – in the spatiotemporal comparison of four satellite data sets and groundbased observations of aerosol optical depth (AOD). This technique is based on commonly used principal component analysis (PCA) and maximum covariance analysis (MCA). By decomposing the c...

2006
L. Charles M. M. Oo B. Herman B. Gross F. Moshary

In this paper, we explore the potential for improving CALIPSO backscatter profiles through constraints imposed by MODIS derived path reflectances. This is done by processing the 2 channel lidar signals using a wide range of aeronet derived atmosphere models to determine both backscatter and mixing ratio and determining the set of models that satisfy all the MODIS path reflectance constraints.

2014
S. Kazadzis

Introduction Conclusions References

2006
G. P. Gobbi Y. J. Kaufman T. F. Eck

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...

2006
Xin Jiang Yang Liu Bin Yu Ming Jiang

Aerosol optical thickness (AOT) data retrieved by the Multi-angle Imaging SpectroRadiometer (MISR) from 2002 to 2004 were compared with AOT measurements from an Aerosol Robotic Network (AERONET) site located in Beijing urban area. AERONETAOT data were first averaged within a two-hour time window andMISR data were collected using AOTs of the central regions covering the AERONETsite and the avera...

2008
Linyan Bai Yong Xue Jie Guang Ying Wang Yingjie Li Jianwen Ai Wei Wan Jianping Guo

Atmospheric aerosol, as particulate matter suspended in the air, exists in a variety of forms such as dust, fume and mist. It deeply affects climate and land surface environment in both regional and global scales, and furthermore, lead to be hugely much influence on human health. For the sake of effectively monitoring it, satellite remote sensing data are used to inverse aerosol optical depth a...

2013
M. Petrenko

Aerosol retrievals from multiple spaceborne sensors, including MODIS (on Terra and Aqua), MISR, OMI, POLDER, CALIOP, and SeaWiFS – altogether, a total of 11 different aerosol products – were comparatively analyzed using data collocated with ground-based aerosol observations from the Aerosol Robotic Network (AERONET) stations within the Multi-sensor Aerosol Products Sampling System (MAPSS, http:...

2010
T. Bondo

In order to elucidate the effect of galactic cosmic rays on cloud formation, we investigate the optical response of marine aerosols to Forbush decreases – abrupt decreases in galactic cosmic rays – by means of modeling. We vary the nucleation rate of new aerosols, in a sectional coagulation and condensation model, according to changes in ionization by the Forbush decrease. From the resulting si...

Journal: :Remote Sensing 2016
Guosheng Zhong Xiufeng Wang Hiroshi Tani Meng Guo Anthony R. Chittenden Shuai Yin Zhongyi Sun Shinji Matsumura

In this paper, we introduced a new algorithm for retrieving aerosol optical depth (AOD) over land, from the Cloud and Aerosol Imager (CAI), which is one of the instruments on the Greenhouse Gases Observing Satellite (GOSAT) for detecting and correcting cloud and aerosol interference. We used the GOSAT and AErosol RObotic NETwork (AERONET) collocated data from different regions over the globe to...

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