Spectral discrimination of coarse and fine mode optical depthстатья из журнала
Аннотация: The recognition that the aerosol particle size distribution (PSD) is effectively bimodal permits the extraction of the fine and coarse mode optical depths (τ f and τ c ) from the spectral shape of the total aerosol optical depth (τ a = τ f + τ c ). This purely optical technique avoids intermediate computations of the PSD and yields a direct optical output that is commensurate in complexity with the spectral information content of τ a . The separation into τ f and τ c is a robust process and yields aerosol optical statistics, which are more intrinsic than those, obtained from a generic analysis of τ a . Partial (optical) validation is provided by (1) demonstrating the physical coherence of the simple model employed, (2) demonstrating that τ c variation is coherent with photographic evidence of thin cloud events and that τ f variation is coherent with photographic evidence of clear sky and haze events, and (3) showing that the retrieved values of τ f and τ c are well‐correlated, if weakly biased, relative to formal inversions of combined solar extinction and sky radiance data. The spectral inversion technique permitted a closer scrutiny of a standard (temporally based) cloud‐screening algorithm. Perturbations of monthly or longer‐term statistics associated with passive or active shortcomings of operational cloud screening were inferred to be small to occasionally moderate over a sampling of cases. Diurnal illustrations were given where it was clear that such shortcomings can have a significant impact on the interpretation of specific events; (1) commission errors in τ f due to the exclusion of excessively high‐frequency fine mode events and (2) omission errors in τ c due to the inclusion of insufficiently high‐frequency thin homogeneous cloud events.
Год издания: 2003
Авторы: N. T. O’Neill, T. F. Eck, A. Smirnov, B. N. Holben, S. Thulasiraman
Издательство: American Geophysical Union
Источник: Journal of Geophysical Research Atmospheres
Ключевые слова: Atmospheric aerosols and clouds, Atmospheric chemistry and aerosols, Atmospheric Ozone and Climate
Другие ссылки: Journal of Geophysical Research Atmospheres (HTML)
Maryland Shared Open Access Repository (USMAI Consortium) (PDF)
Maryland Shared Open Access Repository (USMAI Consortium) (HTML)
Maryland Shared Open Access Repository (USMAI Consortium) (PDF)
Maryland Shared Open Access Repository (USMAI Consortium) (HTML)
Открытый доступ: green
Том: 108
Выпуск: D17