Kotchenova Svetlana Y, Vermote Eric F, Levy Robert, Lyapustin Alexei
Department of Geography, University of Maryland, 4321 Hartwick Road, Suite 209, College Park, Maryland 20740, USA.
Appl Opt. 2008 May 1;47(13):2215-26. doi: 10.1364/ao.47.002215.
Results are summarized for a scientific project devoted to the comparison of four atmospheric radiative transfer codes incorporated into different satellite data processing algorithms, namely, 6SV1.1 (second simulation of a satellite signal in the solar spectrum, vector, version 1.1), RT3 (radiative transfer), MODTRAN (moderate resolution atmospheric transmittance and radiance code), and SHARM (spherical harmonics). The performance of the codes is tested against well-known benchmarks, such as Coulson's tabulated values and a Monte Carlo code. The influence of revealed differences on aerosol optical thickness and surface reflectance retrieval is estimated theoretically by using a simple mathematical approach. All information about the project can be found at http://rtcodes.ltdri.org.
本文总结了一个科学项目的结果,该项目致力于比较四种纳入不同卫星数据处理算法的大气辐射传输代码,即6SV1.1(太阳光谱中卫星信号的第二次模拟,矢量,版本1.1)、RT3(辐射传输)、MODTRAN(中分辨率大气透过率和辐射率代码)和SHARM(球谐函数)。这些代码的性能通过与知名基准进行测试,如库尔森的表格值和蒙特卡罗代码。通过使用一种简单的数学方法,从理论上估计了所揭示的差异对气溶胶光学厚度和地表反射率反演的影响。有关该项目的所有信息可在http://rtcodes.ltdri.org上找到。