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        Using laboratory and field measurements to constrain a single habit shortwave optical parameterization for cirrus

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        Using_laboratory_and_field_measurements_to_constrain_a_single_habit_shortwave_optical_parameterization_for_cirrus.pdf (PDF, 5Mb)
        Author
        Smith, Helen
        Baran, Anthony
        Hesse, Evelyn
        Hill, Peter
        Connolly, Paul
        Webb, Ann
        Attention
        2299/17526
        Abstract
        A single habit parameterization for the shortwave optical properties of cirrus is presented. The parameterization utilizes a hollow particle geometry, with stepped internal cavities as identified in laboratory and field studies. This particular habit was chosen as both experimental and theoretical results show that the particle exhibits lower asymmetry parameters when compared to solid crystals of the same aspect ratio. The aspect ratio of the particle was varied as a function of maximum dimension, D, in order to adhere to the same physical relationships assumed in the microphysical scheme in a configuration of the Met Office atmosphere-only global model, concerning particle mass, size and effective density. Single scattering properties were then computed using T-Matrix, Ray Tracing with Diffraction on Facets (RTDF) and Ray Tracing (RT) for small, medium, and large size parameters respectively. The scattering properties were integrated over 28 particle size distributions as used in the microphysical scheme. The fits were then parameterized as simple functions of Ice Water Content (IWC) for 6 shortwave bands. The parameterization was implemented into the GA6 configuration of the Met Office Unified Model along with the current operational long-wave parameterization. The GA6 configuration is used to simulate the annual twenty-year short-wave (SW) fluxes at top-of-atmosphere (TOA) and also the temperature and humidity structure of the atmosphere. The parameterization presented here is compared against the current operational model and a more recent habit mixture model.
        Publication date
        2016-11-01
        Published in
        Atmospheric Research
        Published version
        https://doi.org/10.1016/j.atmosres.2016.05.0005
        Other links
        http://hdl.handle.net/2299/17526
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