In the satellite aerosol retrieval scheme

determining the aerosol model directly affects the accuracy of most of the current aerosol optical depth retrieval algorithms. The dynamic aerosol models determined based on the extensive analysis of aerosol optical properties obtained from AErosol RObotic NETwork（ AERONET） sun-photometer observations are introduced to a new aerosol retrieval algorithm to derive the Aerosol Optical Depth（ AOD） using the PARASOL（ Polarization and Anisotropy of Reflectance for Atmospheric Science coupled with Observations from LiD AR） multi-angular and polarimetric measurements. The rationale of our algorithm is to initially establish LUTs（ Look Up Tables） using dynamic aerosol models in ten different AOD conditions: Model AOD∈[0. 0

0. 1]

[0. 1

0. 2]

[0. 2

0. 3]

[0. 3

0. 5]

[0. 5

0. 8]

[0. 8

1. 0]

[1. 0

1. 2]

[1. 2

1. 5]

[1. 5

1. 8]

and [1. 8

2. 0]. The retrieved AOD and selected aerosol model must meet two requirements successively:（ 1） combination of the retrieved AOD and Model that leads to the best mimic of the TOA（ Top Of Atmosphere） polarized reflectance measurements;（ 2） the retrieved AOD in the Model AOD intervals

otherwise the retrieved AOD and the Model will be rejected. The accuracy of this algorithm is guaranteed by the iterative constraint between the aerosol model selection and the retrieved AOD

as well as the simultaneous use of two bands（ 670 nm and 865 nm）

multi-angular

and polarimetric measurements to constrain the retrievals. By applying this algorithm to a whole year of the 2012 PARASOL measurements in the North China Plain

typical cases

such as clean and polluted days

were analyzed to test this algorithm. The validation of the retrieved PARASOL AOD with those of AERONET in Beijing showed reasonable agreement（ matched pairs N = 101

square correlation coefficient R2= 0. 71

root mean square error RMSE = 0. 15

and 91% of all the samples lie within 0. 2 AOD thresholds）. To validate the regional suitability of this algorithm

four temporary ground-based CE318 sites（ Tianjin

Tiangang

Tanggu

and Qichang） in North China as a part of our Jing-Jin-Tang aerosol experiment in March 2012 were also adopted to validate. Good agreements are also shown in these four sites.In dynamic aerosol model retrieval algorithm

the aerosol model is associated with the AOD magnitude by prior knowledge

constraining the retrieved AOD and selected aerosol model simultaneously.