Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 7
Articles | Volume 13, issue 7
https://doi.org/10.5194/amt-13-3909-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-3909-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 7
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, Carlos Domenech, Howard W. Barker, René Preusker, and Jürgen Fischer

Viewed

Total article views: 4,052 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,475 517 60 4,052 66 67
  • HTML: 3,475
  • PDF: 517
  • XML: 60
  • Total: 4,052
  • BibTeX: 66
  • EndNote: 67
Views and downloads (calculated since 22 Apr 2020)
Cumulative views and downloads (calculated since 22 Apr 2020)

Viewed (geographical distribution)

Total article views: 4,052 (including HTML, PDF, and XML) Thereof 3,848 with geography defined and 204 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
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.
Read more