An evaluation of size-resolved cloud microphysics scheme numerics for use with radar observations Part II: Condensation and evaporation
An evaluation of size-resolved cloud microphysics scheme numerics for use with radar observations Part II: Condensation and evaporation
复制标题
用于雷达观测的尺寸分辨云微物理方案数值评估第二部分:凝结和蒸发
DOI:
10.1175/jas-d-20-0213.1
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发表时间:
2021
影响因子:
3.1
通讯作者:
A. Ackerman
中科院分区:
文献类型:
--
作者:
Hyunho Lee;A. Fridlind;A. Ackerman
Accurate numerical modeling of clouds and precipitation is essential for weather forecasting and climate change research. While size-resolved (bin) cloud microphysics models predict particle size distributions without imposing shapes, results are subject to artificial size distribution broadening owing to numerical diffusion associated with various processes. Whereas Part 1 addressed collision-coalescence, here we investigate numerical diffusion that occurs in solving condensation and evaporation. In a parcel model framework, all of the numerical schemes examined converge to one solution of condensation and evaporation as the mass grid is refined, and the advection-based schemes are recommended over the reassigning schemes. Including Eulerian vertical advection in a column limits the convergence to some extent, but that limitation occurs at a sufficiently fine mass grid, and the number of iterations in solving vertical advection should be minimized to reduce numerical diffusion. Insubstantial numerical diffusion in solving condensation can be amplified if collision-coalescence is also active, which in turn can be substantially diminished if turbulence effects on collision are incorporated. Large-eddy simulations of a drizzling stratocumulus field reveal that changes in moments of Doppler spectra obtained using different mass grids are consistent with those obtained from the simplified framework, and that spectral moments obtained using a mass grid designed to effectively reduce numerical diffusion are generally closer to observations. Notable differences between the simulations and observations still exist, and our results suggest a need to consider whether factors other than numerical diffusion in the fundamental process schemes employed can cause such differences.