Melnikova · Journal of quantitative spectroscopy & radiative transfer 2018 · Observational case study and algorithm demonstration · n=2 case flights (Namibia and California)

Vertical Profile of Cloud Optical Parameters Derived from Airborne Measurements Above, Inside and Below Clouds.

Cited 3 times in the scientific literature.

Level 4 - case-series / case-control

Non-clinical remote sensing and methodology study evaluated on two observational airborne cases (graded by design analogy).

PubMed 30467442 · doi:10.1016/j.jqsrt.2018.04.005 · record verified 2026-08-27

What was done

The authors developed a retrieval method based on asymptotic radiative transfer theory for thick atmospheres and diffusion domains within clouds to simultaneously estimate two to three optical parameters (optical thickness, single scattering albedo, and phase function asymmetry parameter) independently for every wavelength. The method was applied to airborne angular solar radiation data collected by NASA's Cloud Absorption Radiometer (CAR) flown above, inside, and below marine stratocumulus clouds in two geographic locations: offshore Namibia and offshore California. Observational and retrieval errors were handled using numerical regularization.

What was found

The abstract reports no specific numerical results, error bounds, or statistical metrics. It reports qualitatively that the method achieved stable and smooth solutions without traditional constraints such as semi-infinite optical thickness or purely non-absorbing scattering, and demonstrated potential for parameterizing shortwave radiative properties including reflection, transmission, radiative divergence, and heating rates.

Why it matters

Traditional cloud remote sensing retrievals frequently depend on simplifying assumptions that limit retrievals to a single optical parameter. This approach provides a framework to simultaneously and independently determine multiple optical parameters per wavelength from multi-angle airborne radiometric observations.

Limits

The abstract reports zero numerical validation metrics, accuracy comparisons, or quantitative uncertainty estimates. The evaluation is restricted to two specific marine stratocumulus cases, providing no data on performance in other cloud regimes or heterogeneous cloud conditions.

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