Solar radiation transport in the cloudy atmosphere: A 3D perspective on observations and climate impacts
Open accessAbstract
The interplay of sunlight with clouds is a ubiquitous and often pleasant visual experience, but it conjures up major challenges for weather, climate, environmental science and beyond.Those engaged in the characterization of clouds (and the clear air nearby) by remote sensing methods are even more confronted.The problem comes, on the one hand, from the spatial complexity of real clouds and, on the other hand, from the dominance of multiple scattering in the radiation transport.The former ingredient contrasts sharply with the still popular representation of clouds as homogeneous plane-parallel slabs for the purposes of radiative transfer computations.In typical cloud scenes the opposite asymptotic transport regimes of diffusion and ballistic propagation coexist.We survey the three-dimensional (3D) atmospheric radiative transfer literature over the past 50 years and identify three concurrent and intertwining thrusts: first, how to assess the damage (bias) caused by 3D effects in the operational 1D radiative transfer models?Second, how to mitigate this damage?Finally, can we exploit 3D radiative transfer phenomena to innovate observation methods and technologies?We quickly realize that the smallest scale resolved computationally or observationally may be artificial but is nonetheless a key quantity that separates the 3D radiative transfer solutions into two broad and complementary classes: stochastic and deterministic.Both approaches draw on classic and contemporary statistical, mathematical and computational physics.
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The assumption of radiance close to equilibrium usually does not reflect conditions in highly absorbing media such as microalgae cultures.
“The assumption of radiance close to equilibrium usually does not reflect the conditions in highly absorbing media as microalgae cultures [220].”
From Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review (2022) · cites this paper as [220]
Section 2.4.3 (page unavailable) says weak absorption favors the diffusion/P1 approximation and notes that its simplified radiance representation can fail. This supports caution about applying that approximation in highly absorbing media, but the paper discusses atmospheric clouds, not microalgae cultures, and does not establish that their radiance is usually far from equilibrium. (LLM, conf=0.84)
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Self-citationMarine stratocumulus structure
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Self-citationRemote sensing of stratocumulus clouds: Uncertainties and biases due to inhomogeneity
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Extreme Maximum Land Surface Temperatures
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ON THE DIFFUSE REFLECTION OF A PENCIL OF RADIATION BY A PLANE-PARALLEL ATMOSPHERE
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Line Transfer in Two Dimensions
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Self-citationAn algorithm for generating stochastic cloud fields from radar profile statistics
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Multiple Scattering in Clouds: Insights from Three-Dimensional Diffusion/P1 Theory
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Self-citationAnisotropy of water cloud reflectance: A comparison of measurements and 1D theory
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Self-citationOn reflectance ratios and aerosol optical depth retrieval in the presence of cumulus clouds
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Self-citationDetermination of three‐dimensional cloud structures from high‐resolution radiance data
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A high‐resolution oxygen A‐band and water vapor band spectrometer
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Self-citationDetermination of cloud liquid water distribution using 3D cloud tomography
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The Searchlight Problem for Neutrons in a Semi-Infinite Medium
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Self-citation
Flagged first, then by citations
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Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review
Luzi, G., & McHardy, C. (2022) · Energies · doi:10.3390/en15113966 · Cited by 44 · see citing works
- Authors
- Davis, A. B., & Marshak, A.
- Affiliations
- Los Alamos National Laboratory (US)
- Goddard Space Flight Center (US)
- Venue
- Reports on Progress in Physics
- Publisher
- IOP Publishing
- Published
- 2010-01-19
- Volume
- 73
- Issue
- 2
- Pages
- 026801
- ISSN
- 0034-4885 (ISSN-L)
- 1361-6633
- OpenAlex
- W1965950155
- Cited by
- 89
- References
- 263
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 4 · 2020: 2 · 2019: 7 · 2018: 12 · 2017: 7 · 2016: 7 · 2015: 5 · 2014: 10 · 2013: 5 · 2012: 7
- FWCI
- 6.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Reports on Progress in Physics (publishedVersion)
- Funders
- U.S. Department of Energy
- National Aeronautics and Space Administration
- California Institute of Technology
- Biological and Environmental Research
- Laboratory Directed Research and Development
- Los Alamos National Laboratory
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Engineering › Computational Mechanics › Radiative Heat Transfer Studies
- Keywords
- 3D radiative transfer, cloudy atmospheres, multiple scattering, cloud radiative effects
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