Zobrazeno 1 - 3
of 3
pro vyhledávání: '"low-streams regression"'
Autor:
Ana del Águila, Dmitry S. Efremenko
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 434 (2021)
Fast radiative transfer models (RTMs) are required to process a great amount of satellite-based atmospheric composition data. Specifically designed acceleration techniques can be incorporated in RTMs to simulate the reflected radiances with a fine sp
Externí odkaz:
https://doaj.org/article/0aed7578ba094e5da495b14d71dc4060
Autor:
del Águila, Ana, Efremenko, Dmitry S.
Publikováno v:
Light & Engineering. :79-86
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::701ed63974d371959cca0da4e5df4a8c
https://doi.org/10.33383/2020-078
https://doi.org/10.33383/2020-078
Autor:
del Águila, Ana, Efremenko, Dmitry S.
Publikováno v:
Remote Sensing
Volume 13
Issue 3
Remote Sensing, Vol 13, Iss 434, p 434 (2021)
Volume 13
Issue 3
Remote Sensing, Vol 13, Iss 434, p 434 (2021)
Fast radiative transfer models (RTMs) are required to process a great amount of satellite-based atmospheric composition data. Specifically designed acceleration techniques can be incorporated in RTMs to simulate the reflected radiances with a fine sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9d8103d818860fcfdbfef0afa0036e88