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

Smith, H. R., Baran, A. J., Hesse, E., Hill, P. G. ORCID: https://orcid.org/0000-0002-9745-2120, Connolly, P. J. and Webb, A. (2016) Using laboratory and field measurements to constrain a single habit shortwave optical parameterization for cirrus. Atmospheric Research, 180. pp. 226-240. ISSN 0169-8059 doi: 10.1016/j.atmosres.2016.05.005

Abstract/Summary

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.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/65670
Identification Number/DOI	10.1016/j.atmosres.2016.05.005
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	Elsevier
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