scholarly journals NOAA AVHRR derived aerosol optical depth over land

2005 ◽  
Vol 110 (D8) ◽  
Author(s):  
A. Hauser
Keyword(s):  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Noaa Avhrr

Aerosol optical depth retrieval over China from NOAA AVHRR data

2012 ◽  
Author(s):  
Yingjie Li ◽  
Yong Xue ◽  
Tingting Hou ◽  
Leiku Yang ◽  
Chi Li ◽  
...  
Keyword(s):  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Noaa Avhrr ◽  
Avhrr Data

scholarly journals A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern Asia

2021 ◽  
Vol 13 (3) ◽  
pp. 365
Author(s):  
Ying Wang ◽  
Xingfa Gu ◽  
Jian Li ◽  
Xiaofei Mi
Keyword(s):  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Retrieval Algorithm ◽  
Surface Reflectance ◽  
Eastern Asia ◽  
Angular Variation ◽  
Dual Channel ◽  
Noaa Avhrr ◽  
Dual Channels ◽  
Reflectance Ratio

A NOAA/AVHRR dual-channel method over land is proposed to simultaneously retrieve aerosol optical depth (AOD) at 0.55 μm, and surface reflectance at 0.63 and 0.85 μm. Compared with previous well-established one-channel retrieval algorithms, this algorithm takes advantage of the surface reflectance ratio between 0.63 and 0.85 μm in an attempt to account for the effect induced by the surface bidirectional reflectance distribution function (BRDF). This effect cannot be negligible due to the orbit drift and phasing running of NOAA satellites, both of which potentially cause large solar angular variation. Meanwhile, the observation posture change of AVHRR would cause large sensor angular variation in time series measurements. The used surface reflectance ratio based on dual channels at 0.63 and 0.85 μm is found more reasonable to be assumed as unchanged during a certain period of time, compared to the traditional ratio when addressing the BRDF issue. AOD retrievals have been carried out over Eastern Asia. Validation against aerosol robotic network (AERONET) measurements shows that up to 83% of AOD validation collocations are within error lines (±0.15 ± 0.15τ, τ is AOD) with an R of 0.88 and an root mean square error (RMSE) of 0.15. The dual-channel algorithm taking into account the surface BRDF effect is proved outperforming the conventional 0.63 μm-channel method. It indicates that our algorithm has the potential to be applied to the retrieval of long series of AOD, especially to the AOD retrieval of the sensors which lack a shortwave infrared channel required in the MODerate resolution Imaging Spectroradiometer (MODIS) dark target AOD algorithm.

Retrieval of aerosol optical depth and surface reflectance over land from NOAA AVHRR data

2013 ◽  
Vol 133 ◽  
pp. 1-20 ◽  
Author(s):  
Yingjie Li ◽  
Yong Xue ◽  
Gerrit de Leeuw ◽  
Chi Li ◽  
Leiku Yang ◽  
...  
Keyword(s):  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Surface Reflectance ◽  
Noaa Avhrr ◽  
Avhrr Data

The Impact of Dust Storms on Aerosol Optical Depth and Radiative Forcing

2020 ◽  
Vol 16 (1) ◽  
pp. 1-14
Author(s):  
Monim Jiboori ◽  
Nadia Abed ◽  
Mohamed Abdel Wahab
Keyword(s):  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Radiative Forcing ◽  
Dust Storms ◽  
The Impact
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