Applicability Analysis of Three Atmospheric Radiative Transfer Models in Nighttime

Author:

He Jiacheng12,Zhang Wenhao12ORCID,Liu Sijia12,Zhang Lili3,Liu Qiyue12,Gu Xingfa13,Yu Tao13

Affiliation:

1. School of Remote Sensing and Information Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China

2. Hebei Collaborative Innovation Center for Aerospace Remote Sensing Information Processing and Application, Langfang 065000, China

3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

Abstract

The relatively stable lunar illumination may be used to realize radiometric calibration under low light. However, there is still an insufficient understanding of the accuracy of models and the influence of parameters when conducting research on low-light radiometric calibration. Therefore, this study explores the applicability of three atmospheric radiative transfer models under different nighttime conditions. The simulation accuracies of three nighttime atmospheric radiative transfer models (Night-SCIATRAN, Night-MODTRAN, and Night-6SV) were evaluated using the visible-infrared imaging radiometer suite day/night band (VIIRS/DNB) data. The results indicate that Night-MODTRAN has the highest simulation accuracy under DNB. The consistency between simulated top-of-atmosphere (TOA) radiance and DNB radiance is approximately 3.1%, and uncertainty is 2.5%. This study used Night-MODTRAN for parameter sensitivity analysis. The results indicate that for the lunar phase angle, aerosol optical depth, surface reflectance, lunar zenith angle, satellite zenith angle, and relative azimuth angle, the average change rates are 68%, 100%, 2561%, 75%, 20%, and 0%. This paper can help better understand the performance of models under different atmospheric and geographical conditions, as well as whether existing models can simulate the complex processes of atmospheric radiation.

Funder

High-Resolution Earth Observation System

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

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