4.6 Article

Incorporating an advanced aerosol activation parameterization into WRF-CAM5: Model evaluation and parameterization intercomparison

期刊

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
卷 120, 期 14, 页码 6952-6979

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/2014JD023051

关键词

WRF-CAM5; CCN activation; aerosol indirect effects; model improvement and evaluation; East Asia

资金

  1. U.S. Department of Energy, Office of Science Biological and Environmental Research as part of the Regional and Global Climate Modeling program [DE-SC0006695]
  2. China National Basic Research Program [2010CB951803]
  3. National Science Foundation [OCI-1053575]
  4. National Energy Research Scientific Computing Center (NERSC)
  5. Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]
  6. DOE [DE-AC05-76RL01830]

向作者/读者索取更多资源

Aerosol activation into cloud droplets is an important process that governs aerosol indirect effects. The advanced treatment of aerosol activation by Fountoukis and Nenes (2005) and its recent updates, collectively called the FN series, have been incorporated into a newly developed regional coupled climate-air quality model based on the Weather Research and Forecasting model with the physics package of the Community Atmosphere Model version 5 (WRF-CAM5) to simulate aerosol-cloud interactions in both resolved and convective clouds. The model is applied to East Asia for two full years of 2005 and 2010. A comprehensive model evaluation is performed for model predictions of meteorological, radiative, and cloud variables, chemical concentrations, and column mass abundances against satellite data and surface observations from air quality monitoring sites across East Asia. The model performs overall well for major meteorological variables including near-surface temperature, specific humidity, wind speed, precipitation, cloud fraction, precipitable water, downward shortwave and longwave radiation, and column mass abundances of CO, SO2, NO2, HCHO, and O-3 in terms of both magnitudes and spatial distributions. Larger biases exist in the predictions of surface concentrations of CO and NOx at all sites and SO2, O-3, PM2.5, and PM10 concentrations at some sites, aerosol optical depth, cloud condensation nuclei over ocean, cloud droplet number concentration (CDNC), cloud liquid and ice water path, and cloud optical thickness. Compared with the default Abdul-Razzack Ghan (2000) parameterization, simulations with the FN series produce similar to 107-113% higher CDNC, with half of the difference attributable to the higher aerosol activation fraction by the FN series and the remaining half due to feedbacks in subsequent cloud microphysical processes. With the higher CDNC, the FN series are more skillful in simulating cloud water path, cloud optical thickness, downward shortwave radiation, shortwave cloud forcing, and precipitation. The model evaluation identifies several areas of improvements including emissions and their vertical allocation as well as model formulations such as aerosol formation, cloud droplet nucleation, and ice nucleation.

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