南京信息工程大学主页平台管理系统周永波--中文主页-- A machine learning based method to account for 3D Short wave radiative effects in 1D satellite observation operators

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

A machine learning based method to account for 3D Short wave radiative effects in 1D satellite observation operators

发布时间：2023-09-26 点击次数：

DOI码：10.1016/j.jqsrt.2021.107891
论文名称：A machine learning based method to account for 3D Short wave radiative effects in 1D satellite observation operators
发表刊物：《Journal of Quantitative Spectroscopy & Radiative Transfer》
论文类型：期刊论文
是否译文：否
发表时间：2021-09-08

上一条：A preliminary evaluation of WRF (ARW v4.1.1)/DART (Manhattan release v9.8.0)-RTTOV (v12.3) in assimilating satellite visible radiance data for a cyclone case

下一条：Cirrus Cloud Optical Thickness and Effective Diameter Retrieved by MODIS: Impacts of Single Hab it Assumption, 3-D Radiative Effects, and Cloud Inhomogeneity

个人信息

周永波

论文成果

A machine learning based method to account for 3D Short wave radiative effects in 1D satellite observation operators