Accuracy Enhancement of the Two-Stream Radiative Transfer Model for Computing Absorption Bands at the Presence of Aerosols

Autor:	del Águila, Ana, Efremenko, Dmitry S.
Rok vydání:	2021
Předmět:	line-by-line model 010309 optics regression model cluster low-streams regression method 010504 meteorology & atmospheric sciences radiative transfer hyperspectral data 0103 physical sciences aerosol models 01 natural sciences 0105 earth and related environmental sciences
Zdroj:	Light & Engineering. :79-86
ISSN:	2541-9935 1068-9761
DOI:	10.33383/2020-078
Popis:	The two-stream model is the fastest radiative transfer model among those based on the discrete ordinate method. Although its accuracy is not high enough to be used in applications, the two-stream model gets more attention in computationally demanding tasks such as line-by-line simulations in the gaseous absorption bands. For this reason, we designed the cluster low-streams regression (CLSR) technique, in which a spectrum computed with a two-stream model, is refined by using statistical dependencies between two- and multistream radiative transfer models. In this paper, we examine the efficiency of this approach for computing Hartley-Huggins, O2 A-, water vapour and CO2 bands at the presence of aerosols. The numerical results evidence that the errors of the CLSR method is not biased and around 0.05 %, while the performance enhancement is two orders of magnitude.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::701ed63974d371959cca0da4e5df4a8c https://doi.org/10.33383/2020-078 Zobrazit plný text záznamu