In this study, aerosol optical depths over oceans are analyzed from satellite and surface perspectives. Multiangle Imaging SpectroRadiometer (MISR) aerosol retrievals are investigated and validated primarily against Maritime Aerosol Network (MAN) observations. Furthermore, AErosol RObotic NETwork (AERONET) data from 19 island and coastal sites is incorporated in this study. The 270 MISRMAN comparison points scattered across all oceans were identified. MISR on average overestimates aerosol optical depths (AODs) by 0.04 as compared to MAN; the correlation coefficient and root-mean-square error are 0.95 and 0.06, respectively. A new screening procedure based on retrieval region characterization is proposed, which is capable of substantially re...
Various space-based sensors have been designed and corresponding algorithms developed to retrieve ae...
To better understand and characterize current uncertainties in the important observational constrain...
To better understand and characterize current uncertainties in the important observational constrain...
aerosol optical thickness (AOT) retrieval algorithm is assessed quantitatively over land and ocean b...
International audienceAbstract. The Maritime Aerosol Network (MAN) has been collecting data over the...
International audienceAbstract. The Maritime Aerosol Network (MAN) has been collecting data over the...
International audienceAbstract. The Maritime Aerosol Network (MAN) has been collecting data over the...
International audienceAbstract. The Maritime Aerosol Network (MAN) has been collecting data over the...
The Maritime Aerosol Network (MAN) has been collecting data over the oceans since November 2006. Ove...
Satellite-retrieved aerosol optical depth (AOD) can potentially provide an effective way to compleme...
Satellite-retrieved aerosol optical depth (AOD) can potentially provide an effective way to compleme...
This study evaluates a new spectral aerosol optical depth (AOD) dataset derived from Sea-viewing Wid...
Monthly mean aerosol optical depth (AOD) over ocean is compared from a total of 9 aerosol retrievals...
The Sea-viewing Wide Field-of-view Sensor (SeaWiFS) provides a well-calibrated 13-year (1997-2010) r...
Aerosols are inportant for many processes in the atmosphere. Aerosols are a leading uncertainty in p...
Various space-based sensors have been designed and corresponding algorithms developed to retrieve ae...
To better understand and characterize current uncertainties in the important observational constrain...
To better understand and characterize current uncertainties in the important observational constrain...
aerosol optical thickness (AOT) retrieval algorithm is assessed quantitatively over land and ocean b...
International audienceAbstract. The Maritime Aerosol Network (MAN) has been collecting data over the...
International audienceAbstract. The Maritime Aerosol Network (MAN) has been collecting data over the...
International audienceAbstract. The Maritime Aerosol Network (MAN) has been collecting data over the...
International audienceAbstract. The Maritime Aerosol Network (MAN) has been collecting data over the...
The Maritime Aerosol Network (MAN) has been collecting data over the oceans since November 2006. Ove...
Satellite-retrieved aerosol optical depth (AOD) can potentially provide an effective way to compleme...
Satellite-retrieved aerosol optical depth (AOD) can potentially provide an effective way to compleme...
This study evaluates a new spectral aerosol optical depth (AOD) dataset derived from Sea-viewing Wid...
Monthly mean aerosol optical depth (AOD) over ocean is compared from a total of 9 aerosol retrievals...
The Sea-viewing Wide Field-of-view Sensor (SeaWiFS) provides a well-calibrated 13-year (1997-2010) r...
Aerosols are inportant for many processes in the atmosphere. Aerosols are a leading uncertainty in p...
Various space-based sensors have been designed and corresponding algorithms developed to retrieve ae...
To better understand and characterize current uncertainties in the important observational constrain...
To better understand and characterize current uncertainties in the important observational constrain...