This Figure shows (a) MODIS Terra scene over southeastern Asia showing smoke aerosols above clouds and (b) spectral TOA reflectance for 0.1° boxes centered around a smoke-laden cloud (red crosses) and a comparatively smoke-free cloud (blue diamonds). Vertical bars in Figure 1b indicate the standard deviation of reflectance across these boxes.
We are pleased to announce the publication of a new paper presenting an algorithm to retrieve aerosol optical depth (AOD) and cloud optical depth (COD) for cases of absorbing aerosols above clouds, such as smoke and mineral dust. The paper presents the algorithm, sensitivity analysis, and two case studies including validation from airborne data. The algorithm is applicable to multiple sensors, including SeaWiFS, MODIS, and VIIRS, and a version will eventually be included in a forthcoming version of the Deep Blue data product suite. Importantly, the algorithm will result in greatly improved spatial coverage of retrievals in some regions and seasons with persistent cloudiness, such as the biomass burning regions off the coast of central/southern Africa, and South-East Asia in the springtime.
The reference for the paper is as follows:
Sayer A. M., N. C. Hsu, C. Bettenhausen, J. Lee, J. Redemann, B. Schmid, and Y. Shinozuka (2016), Extending “Deep Blue” aerosol retrieval coverage to cases of absorbing aerosols above clouds: Sensitivity analysis and first case studies, J. Geophys. Res. Atmos., 121, doi:10.1002/2015JD024729.