TY - JOUR
T1 - Aerosol microphysical and radiative effects on continental cloud ensembles
AU - Wang, Yuan
AU - Vogel, Jonathan M.
AU - Lin, Yun
AU - Pan, Bowen
AU - Hu, Jiaxi
AU - Liu, Yangang
AU - Dong, Xiquan
AU - Jiang, Jonathan H.
AU - Yung, Yuk L.
AU - Zhang, Renyi
N1 - Funding Information:
support provided by NASA ROSES14-ACMAP and NSF (Award No. 1700727). Dr. Yangang LIU is supported by the US DOE ASR program. Dr. Jonathan H. JIANG acknowledges the support of the Jet Propulsion Laboratory, California Institute of Technology, under contract with NASA. All model results are available upon request from Yuan WANG (yuan.wang@caltech.edu).
Publisher Copyright:
© 2018, Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - Aerosol–cloud–radiation interactions represent one of the largest uncertainties in the current climate assessment. Much of the complexity arises from the non-monotonic responses of clouds, precipitation and radiative fluxes to aerosol perturbations under various meteorological conditions. In this study, an aerosol-aware WRF model is used to investigate the microphysical and radiative effects of aerosols in three weather systems during the March 2000 Cloud Intensive Observational Period campaign at the US Southern Great Plains. Three simulated cloud ensembles include a low-pressure deep convective cloud system, a collection of less-precipitating stratus and shallow cumulus, and a cold frontal passage. The WRF simulations are evaluated by several ground-based measurements. The microphysical properties of cloud hydrometeors, such as their mass and number concentrations, generally show monotonic trends as a function of cloud condensation nuclei concentrations. Aerosol radiative effects do not influence the trends of cloud microphysics, except for the stratus and shallow cumulus cases where aerosol semi-direct effects are identified. The precipitation changes by aerosols vary with the cloud types and their evolving stages, with a prominent aerosol invigoration effect and associated enhanced precipitation from the convective sources. The simulated aerosol direct effect suppresses precipitation in all three cases but does not overturn the aerosol indirect effect. Cloud fraction exhibits much smaller sensitivity (typically less than 2%) to aerosol perturbations, and the responses vary with aerosol concentrations and cloud regimes. The surface shortwave radiation shows a monotonic decrease by increasing aerosols, while the magnitude of the decrease depends on the cloud type.
AB - Aerosol–cloud–radiation interactions represent one of the largest uncertainties in the current climate assessment. Much of the complexity arises from the non-monotonic responses of clouds, precipitation and radiative fluxes to aerosol perturbations under various meteorological conditions. In this study, an aerosol-aware WRF model is used to investigate the microphysical and radiative effects of aerosols in three weather systems during the March 2000 Cloud Intensive Observational Period campaign at the US Southern Great Plains. Three simulated cloud ensembles include a low-pressure deep convective cloud system, a collection of less-precipitating stratus and shallow cumulus, and a cold frontal passage. The WRF simulations are evaluated by several ground-based measurements. The microphysical properties of cloud hydrometeors, such as their mass and number concentrations, generally show monotonic trends as a function of cloud condensation nuclei concentrations. Aerosol radiative effects do not influence the trends of cloud microphysics, except for the stratus and shallow cumulus cases where aerosol semi-direct effects are identified. The precipitation changes by aerosols vary with the cloud types and their evolving stages, with a prominent aerosol invigoration effect and associated enhanced precipitation from the convective sources. The simulated aerosol direct effect suppresses precipitation in all three cases but does not overturn the aerosol indirect effect. Cloud fraction exhibits much smaller sensitivity (typically less than 2%) to aerosol perturbations, and the responses vary with aerosol concentrations and cloud regimes. The surface shortwave radiation shows a monotonic decrease by increasing aerosols, while the magnitude of the decrease depends on the cloud type.
KW - aerosol-cloud-radiation interactions
KW - cloud microphysics and macrophysics
KW - cloud-resolving model
KW - precipitation
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U2 - 10.1007/s00376-017-7091-5
DO - 10.1007/s00376-017-7091-5
M3 - Article
AN - SCOPUS:85044255560
SN - 0256-1530
VL - 35
SP - 234
EP - 247
JO - Advances in Atmospheric Sciences
JF - Advances in Atmospheric Sciences
IS - 2
ER -