Warning message

Member access has been temporarily disabled. Please try again later.
The FIREX-AQ website is undergoing a major upgrade that began Friday, October 11th at 5:00 PM PDT. The new upgraded site will be available no later than Monday, October 21st. Until that time, the current site will be visible but logins are disabled.

Vol. 24, No. 26 | 26 Dec 2016 | OPTICS EXPRESS A1514 Fast and accurate hybrid...

Yang, Q., Xu Liu, W. Wu, S. Kizer, and Rosemary (2016), Vol. 24, No. 26 | 26 Dec 2016 | OPTICS EXPRESS A1514 Fast and accurate hybrid stream PCRTMSOLAR radiative transfer model for reflected solar spectrum simulation in the cloudy atmosphere, Optics Express, 24, A1514.
Abstract: 

A hybrid stream PCRTM-SOLAR model has been proposed for fast and accurate radiative transfer simulation. It calculates the reflected solar (RS) radiances with a fast coarse way and then, with the help of a pre-saved matrix, transforms the results to obtain the desired high accurate RS spectrum. The methodology has been demonstrated with the hybrid stream discrete ordinate (HSDO) radiative transfer (RT) model. The HSDO method calculates the monochromatic radiances using a 4-stream discrete ordinate method, where only a small number of monochromatic radiances are simulated with both 4-stream and a larger N-stream (N ≥ 16) discrete ordinate RT algorithm. The accuracy of the obtained channel radiance is comparable to the result from N-stream moderate resolution atmospheric transmission version 5 (MODTRAN5). The root-mean-square errors are usually less than 5x 10-4 mW/cm2/sr/cm−1. The computational speed is three to four-orders of magnitude faster than the medium speed correlated-k option MODTRAN5. This method is very efficient to simulate thousands of RS spectra under multi-layer clouds/aerosols and solar radiation conditions for climate change study and numerical weather prediction applications.

Research Program: 
Atmospheric Composition Modeling and Analysis Program (ACMAP)
Climate Variability and Change Program
Modeling Analysis and Prediction Program (MAP)
Radiation Science Program (RSP)