Physically based rainfall retrievals from passive microwave sensors often make use of cloud-resolving models (CRMs) to build a priori databases of potential rain structures. EachCRM, however, has its own cloud microphysics assumptions. Hence, approximated microphysics may cause uncertainties in the a priori information resulting in inaccurate rainfall estimates. This study first builds a priori...

This study compares a single-moment microphysics scheme to a double-moment microphysics scheme using four observed cases of a mesoscale cloud system. Previous studies comparing a single-moment microphysics scheme to a doublemoment microphysics scheme have focused on microphysical processes or overall dynamics, precipitation and morphology of cloud systems. However, they have not focused on how ...

. introduction not only have clouds and precipitation (snow, rain and hail) made up an important part of the subsystem atmospheric phenomena of terrestrial climate, but are also considered as the main components of the water cycle. aerosols play an important role in cloudiness and precipitation. in warm clouds with the same liquid water path, increase in aerosols concentration results in the re...

The aim of this new project is to develop an aerosol/cloud microphysics parameterization of mixed-phase stratus and boundary layer clouds. Our approach is to create, test, and implement a bulk-microphysics/aerosol model using data from Atmospheric Radiation Measurement (ARM) Cloud and Radiation Testbed (CART) sites and large-eddy simulation (LES) explicit bin-resolving aerosol/microphysics mode...

We have developed a one-dimensional radiative-convective model with detailed cloud microphysics, and used it to study the formation of Arctic Stratus clouds (ASC). The model contains detailed radiative and microphysical modules, and it provides a self-consistent treatment of the interaction between radiative and cloud microphysical processes important for cloud formation. The radiative transfer...

Clouds exhibit spatial variability on a range of scales, and this variability influences microphysical processes such as drizzle formation (Pincus and Klein 2000; Larson et al. 2001). For this and other reasons, large-scale models may benefit from including the effects of subgrid cloud variability on microphysical process rates. For instance, feeding the fraction of a grid box occupied by cloud...

In this study, the ability of several cloud microphysical and planetary boundary layer parameterization schemes to accurately simulate cloud characteristics within 4-kmgrid-spacing ensemble forecasts over the contiguous U.S. was evaluated through comparison of synthetic GOES infrared brightness temperatures with observations. Four double-moment microphysics schemes and five planetary boundary l...

The authors investigate the extent to which the contrast brightness of ship tracks, that is, the relative change in observed solar reflectance, in visible and near-infrared imagery can be explained by the microphysics of the background cloud in which they form. The sensitivity of visible and near-infrared wavelengths for detecting reflectance changes in ship tracks is discussed, including the u...

To study the complex interactions between cloud processes and the atmosphere, several atmospheric models have been coupled with detailed spectral cloud microphysics schemes. These schemes are computationally expensive, which limits their practical application. Additionally, our performance analysis of the model system COSMO-SPECS (atmospheric model of the Consortium for Small-scale Modeling cou...

Global cloud resolving models (GCRMs) are a new type of general circulation model that explicitly calculates the growth systems with fine spatial resolutions and more than 10 GCRMs have been developed at present. This work reviews microphysics schemes used in introductions to recent progress researches GCRMs. Especially, research using pioneer GCRMs, Nonhydrostatic ICosahedral Atmospheric Model...