The shape parameter of the Gamma size distribution plays a key role in the evolution of the cloud droplet spectrum in the bulk parameterization schemes. However, due to the inaccurate specification of the shape parameter in the commonly used bulk double-moment schemes, the cloud droplet spectra cannot reasonably be described during the condensation process. Therefore, a newly-developed triple-parameter condensation scheme with the shape parameter diagnosed through the number concentration, cloud water content, and reflectivity factor of cloud droplets can be applied to improve the evolution of the cloud droplet spectrum. The simulation with the new parameterization scheme was compared to those with a high-resolution Lagrangian bin scheme, the double-moment schemes in a parcel model, and the observation in a 1.5D Eulerian model that consists of two cylinders. The new scheme with the shape parameter varying with time and space can accurately simulate the evolution of the cloud droplet spectrum. Furthermore, the volume-mean radius and cloud water content simulated with the new scheme match the Lagrangian analytical solutions well, and the errors are steady, within approximately 0.2%.
机构:
Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and TechnologyCollaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology
Youling Jiang
Zewen Zheng
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NUIST Reading Academy, Nanjing University of Information Science and TechnologyCollaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology
机构:
Natl Ctr Atmospher Res, Boulder, CO 80307 USAPrinceton Univ, NOAA, Geophys Fluid Dynam Lab, Program Atmospher & Ocean Sci, Princeton, NJ 08544 USA
Morrison, Hugh
Harrington, Jerry Y.
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Penn State Univ, Dept Meteorol, University Pk, PA 16802 USAPrinceton Univ, NOAA, Geophys Fluid Dynam Lab, Program Atmospher & Ocean Sci, Princeton, NJ 08544 USA
机构:
Univ Sao Paulo, BR-09500900 Sao Paulo, BrazilUniv Sao Paulo, BR-09500900 Sao Paulo, Brazil
Goncalves, F. L. T.
Martins, J. A.
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Univ Tecnol Fed Parana, BR-86300000 Cornelio Procopio, Parana, BrazilUniv Sao Paulo, BR-09500900 Sao Paulo, Brazil
Martins, J. A.
Silva Dias, M. A.
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Univ Sao Paulo, BR-09500900 Sao Paulo, Brazil
CPTEC INPE, Ctr Weather Forecasting & Climate Studies, BR-12630000 Cachoeira Paulista, SP, BrazilUniv Sao Paulo, BR-09500900 Sao Paulo, Brazil