Articles | Volume 13, issue 7
Atmos. Meas. Tech., 13, 3909–3922, 2020
https://doi.org/10.5194/amt-13-3909-2020
Atmos. Meas. Tech., 13, 3909–3922, 2020
https://doi.org/10.5194/amt-13-3909-2020

Research article 21 Jul 2020

Research article | 21 Jul 2020

Using two-stream theory to capture fluctuations of satellite-perceived TOA SW radiances reflected from clouds over ocean

Florian Tornow et al.

Data sets

CERES Data Products NASA Langley Research Center https://ceres.larc.nasa.gov/data/

ERA-20C Daily Dataset European Centre for Medium-Range Weather Forecasts https://apps.ecmwf.int/datasets/data/era20c-daily

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Short summary
Clouds reflect sunlight unevenly, which makes it difficult to quantify the portion reflected back to space via satellite observation. To improve quantification, we propose a new statistical model that incorporates more satellite-inferred cloud and atmospheric properties than state-of-the-art models. We use concepts from radiative transfer theory that we statistically optimize to fit observations. The new model often explains past satellite observations better and predicts reflection plausibly.