期刊
JOURNAL OF THE ATMOSPHERIC SCIENCES
卷 73, 期 11, 页码 4221-4252出版社
AMER METEOROLOGICAL SOC
DOI: 10.1175/JAS-D-16-0037.1
关键词
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资金
- U.S. Department of Energy (DOE) Atmospheric System Research (ASR) Program [200180]
- DOE by Battelle Memorial Institute [DE-AC06-76RLO1830]
- NASA [ROSES14-ACMAP]
- U.S. DOE ASR Program [DE-SC0014239]
- U.S. Department of Energy (DOE) [DE-SC0014239] Funding Source: U.S. Department of Energy (DOE)
Over the past decade, the number of studies that investigate aerosol-cloud interactions has increased considerably. Although tremendous progress has been made to improve the understanding of basic physical mechanisms of aerosol-cloud interactions and reduce their uncertainties in climate forcing, there is still poor understanding of 1) some of the mechanisms that interact with each other over multiple spatial and temporal scales, 2) the feedbacks between microphysical and dynamical processes and between local-scale processes and large-scale circulations, and 3) the significance of cloud-aerosol interactions on weather systems as well as regional and global climate. This review focuses on recent theoretical studies and important mechanisms on aerosol-cloud interactions and discusses the significances of aerosol impacts on radiative forcing and precipitation extremes associated with different cloud systems. The authors summarize the main obstacles preventing the science from making a leap-for example, the lack of concurrent profile measurements of cloud dynamics, microphysics, and aerosols over a wide region on the observation side and the large variability of cloud microphysics parameterizations resulting in a large spread of modeling results on the modeling side. Therefore, large efforts are needed to escalate understanding. Future directions should focus on obtaining concurrent measurements of aerosol properties and cloud microphysical and dynamic properties over a range of temporal and spatial scales collected over typical climate regimes and closure studies, as well as improving understanding and parameterizations of cloud microphysics such as ice nucleation, mixed-phase properties, and hydrometeor size and fall speed.
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