Rough Sea-Surface Model for Vector Radiative Transfer of Coupled Ocean-Atmosphere System

2010 ◽  
Vol 30 (3) ◽  
pp. 618-624
Author(s):  
何贤强 He Xianqiang ◽  
潘德炉 Pan Delu ◽  
白雁 Bai Yan ◽  
朱乾坤 Zhu Qiankun ◽  
龚芳 Gong Fang ◽  
...  
2013 ◽  
Vol 13 (7) ◽  
pp. 17585-17642
Author(s):  
W. Sun ◽  
C. Lukashin

Abstract. Reflected solar radiance from the Earth–atmosphere system is polarized. Radiance measurements can be affected by the reflected light's state of polarization if the radiometric sensor is sensitive to the polarization of observed light. To enable the Climate Absolute Radiance and Refractivity Observatory (CLARREO) mission for inter-calibration of the polarization-sensitive imagers, such as the MODIS, the polarization state of the reflected solar light must be known with sufficient accuracy. For this purpose, the polarized solar radiation from the ocean–atmosphere system is studied with an adding-doubling radiative transfer model (ADRTM). The Cox-and-Munk ocean wave slope distribution model is used in calculation of the reflection matrix of a wind-ruffled ocean surface. An empirical foam spectral reflectance model and an empirical spectral reflectance model for water volume below the surface are integrated in the ocean surface model. Solar reflectance from the ADRTM is compared with that from the discrete-ordinate radiative transfer (DISORT) model. Sensitivity studies for reflected solar radiation are conducted for various ocean-surface and atmospheric conditions for the stratification of polarization distribution models (PDMs), which are to be used in the inter-calibration of the polarization-sensitive imager measurements with the CLARREO data. This modeling provides a reliable approach for making the spectral CLARREO PDMs over the broad solar spectra, which cannot be achieved by empirical PDMs based on the analysis of the data from polarimetric sensors.


2013 ◽  
Vol 13 (20) ◽  
pp. 10303-10324 ◽  
Author(s):  
W. Sun ◽  
C. Lukashin

Abstract. Reflected solar radiance from the Earth–atmosphere system is polarized. Radiance measurements can be affected by light's state of polarization if the radiometric sensor has polarization dependence. To enable the Climate Absolute Radiance and Refractivity Observatory (CLARREO) mission for inter-calibration of the imagers with polarization dependence, such as the MODIS, the polarization state of the light must be known with sufficient accuracy. For this purpose, the polarized solar radiation from the ocean–atmosphere system is studied with an adding-doubling radiative transfer model (ADRTM). The Cox–Munk ocean wave slope distribution model is used in calculation of the reflection matrix of a wind-ruffled ocean surface. An empirical foam spectral reflectance model and an empirical spectral reflectance model for water volume below the surface are integrated in the ocean-surface model. Solar reflectance from the ADRTM is compared with that from the discrete-ordinate radiative transfer (DISORT) model. Sensitivity studies are conducted for various ocean-surface and atmospheric conditions for the stratification of polarization distribution models (PDMs), which are to be used in the inter-calibration of the polarization-sensitive imager measurements with the CLARREO data. This report presents the first accurate approach for making the spectral PDMs over broad solar spectra, which cannot be achieved by empirical PDMs based on the data from polarimetric sensors.


2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Wenwan Ding ◽  
Kun Wang ◽  
Yunliang Long

An improved fractal sea surface model, which can describe the capillary waves very well, is introduced to simulate the one-dimension rough sea surface. In this model, the propagation of electromagnetic waves (EWs) is computed by the parabolic equation (PE) method using the finite-difference (FD) algorithm. The numerical simulation results of the introduced model are compared with those of the Miller-Brown model and the Elfouhaily spectrum inversion model. It has been shown that the effects of the fine structure of the sea surface on the EWs propagation in the introduced model are more apparent than those in the other two models.


2005 ◽  
Vol 64 (12) ◽  
pp. 1003-1016
Author(s):  
A. S. Bryukhovetsky ◽  
Yu. M. Yampolski ◽  
A. S. Kashcheyev ◽  
S. B. Kashcheyev ◽  
A. B. Koloskov ◽  
...  

2005 ◽  
Vol 64 (12) ◽  
pp. 991-1001
Author(s):  
A. S. Bryukhovetsky ◽  
Yu. M. Yampolski ◽  
A. S. Kashcheyev ◽  
S. B. Kashcheyev

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