A fast and accurate vector radiative transfer model for simulating the near-infrared hyperspectral scattering processes in clear atmospheric conditions-Reference-Cited by-同舟云学术

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A fast and accurate vector radiative transfer model for simulating the near-infrared hyperspectral scattering processes in clear atmospheric conditions

Published:2020-02 Issue: Volume:242 Page:106736
ISSN:0022-4073
Container-title:Journal of Quantitative Spectroscopy and Radiative Transfer
language:en
Short-container-title:Journal of Quantitative Spectroscopy and Radiative Transfer

Author:

Bai Wenguang,Zhang Peng,Zhang Wenjian,Ma Gang,Qi Chengli,Liu Hui

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

China Meteorological Administration

Publisher

Elsevier BV

Subject

Spectroscopy,Atomic and Molecular Physics, and Optics,Radiation

Reference49 articles.

1. Uncertainties in the space-based measurements of CO2 columns due to scattering in the Earth's atmosphere;Aben;J Quant Spectrosc Radiat Transfer,2007

2. Performance of the line-by-line radiative transfer model (LBLRTM) for temperature, water vapor, and trace gas retrievals: recent updates evaluated with IASI case studies;Alvarado;Atmos Chem Phys,2013

3. An efficient method for hyper-spectral infrared atmospheric radiation transfer calculation (in Chinese);Bai;J Infrared Millimeter Waves,2016

4. CO2 column-retrieval errors arising from neglecting polarization in forward modeling of 1.6µm band measurements (in Chinese);Bai;Chin Sci Bull,2018

5. Carbon source/sink information provided by column CO2 measurements from the orbiting carbon observatory;Baker;Atmos Chem Phys,2008

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Experimental research of solar infrared spectral radiation in Wuhan, China;Infrared Physics & Technology;2022-09

2. Radiative Transfer Speed-Up Combining Optimal Spectral Sampling With a Machine Learning Approach;Frontiers in Remote Sensing;2022-07-19

3. Atmospheric CO2 retrieval from satellite spectral measurements by a two-step machine learning approach;Journal of Quantitative Spectroscopy and Radiative Transfer;2022-02

4. An accurate and efficient radiative transfer model for simulating all-sky images from Fengyun satellite radiometers;Science China Earth Sciences;2020-06-04

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