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Title: Aerosol Microphysical and Radiative Effects on Continental Cloud Ensembles

Abstract

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. Here, an aerosol-aware Weather Research and Forecasting (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 Southern Great Plains site of the US Atmospheric Radiation Measurement Program. Three cloud ensembles with different meteorological conditions are simulated, including a low-pressure deep convective cloud system, a series of lessprecipitating stratus and shallow cumulus, and a cold frontal passage. The WRF simulations are evaluated by the available observations of cloud fraction, liquid water path, precipitation, and surface temperature. 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 interfere 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 more prominent aerosol invigoration effect andmore » associated enhanced precipitation from the convective sources. Furthermore, the simulated aerosol direct effect suppresses precipitation in all three cases but does not overturn the direction of precipitation changes by the aerosol indirect effect. Cloud fraction exhibits much smaller sensitivity (typically less than 2%) to aerosol perturbations than the cloud microphysics, 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. Surface temperature changes closely follow the modulation of the surface radiation fluxes.« less

Authors:
 [1];  [2];  [3];  [3];  [3];  [4];  [5];  [6];  [1];  [3]
  1. California Inst. of Technology (CalTech), Pasadena, CA (United States). Division of Geological and Planetary Sciences
  2. Texas A & M Univ., College Station, TX (United States). Dept. of Atmospheric Sciences; McGill Univ., Montreal, QC (Canada). Dept. of Atmospheric and Oceanic Sciences
  3. Texas A & M Univ., College Station, TX (United States). Dept. of Atmospheric Sciences
  4. Brookhaven National Lab. (BNL), Upton, NY (United States). Environmental and Climate Sciences Dept.
  5. Univ. of Arizona, Tucson, AZ (United States). Dept. of Hydrology
  6. California Inst. of Technology (CalTech), La Canada Flintridge, CA (United States). Jet Propulsion Lab.
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1392231
Report Number(s):
BNL-114244-2017-JA
Journal ID: ISSN 0256-1530; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000
Grant/Contract Number:  
SC0012704
Resource Type:
Accepted Manuscript
Journal Name:
Advances in Atmospheric Sciences
Additional Journal Information:
Journal Volume: 35; Journal Issue: 2; Journal ID: ISSN 0256-1530
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Wang, Yuan, Vogel, Jonathan M., Lin, Yun, Pan, Bowen, Hu, Jiaxi, Liu, Yangang, Dong, Xiquan, Jiang, Jonathan H., Yung, Yuk L., and Zhang, Renyi. Aerosol Microphysical and Radiative Effects on Continental Cloud Ensembles. United States: N. p., 2018. Web. https://doi.org/10.1007/s00376-017-7091-5.
Wang, Yuan, Vogel, Jonathan M., Lin, Yun, Pan, Bowen, Hu, Jiaxi, Liu, Yangang, Dong, Xiquan, Jiang, Jonathan H., Yung, Yuk L., & Zhang, Renyi. Aerosol Microphysical and Radiative Effects on Continental Cloud Ensembles. United States. https://doi.org/10.1007/s00376-017-7091-5
Wang, Yuan, Vogel, Jonathan M., Lin, Yun, Pan, Bowen, Hu, Jiaxi, Liu, Yangang, Dong, Xiquan, Jiang, Jonathan H., Yung, Yuk L., and Zhang, Renyi. Wed . "Aerosol Microphysical and Radiative Effects on Continental Cloud Ensembles". United States. https://doi.org/10.1007/s00376-017-7091-5. https://www.osti.gov/servlets/purl/1392231.
@article{osti_1392231,
title = {Aerosol Microphysical and Radiative Effects on Continental Cloud Ensembles},
author = {Wang, Yuan and Vogel, Jonathan M. and Lin, Yun and Pan, Bowen and Hu, Jiaxi and Liu, Yangang and Dong, Xiquan and Jiang, Jonathan H. and Yung, Yuk L. and Zhang, Renyi},
abstractNote = {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. Here, an aerosol-aware Weather Research and Forecasting (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 Southern Great Plains site of the US Atmospheric Radiation Measurement Program. Three cloud ensembles with different meteorological conditions are simulated, including a low-pressure deep convective cloud system, a series of lessprecipitating stratus and shallow cumulus, and a cold frontal passage. The WRF simulations are evaluated by the available observations of cloud fraction, liquid water path, precipitation, and surface temperature. 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 interfere 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 more prominent aerosol invigoration effect and associated enhanced precipitation from the convective sources. Furthermore, the simulated aerosol direct effect suppresses precipitation in all three cases but does not overturn the direction of precipitation changes by the aerosol indirect effect. Cloud fraction exhibits much smaller sensitivity (typically less than 2%) to aerosol perturbations than the cloud microphysics, 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. Surface temperature changes closely follow the modulation of the surface radiation fluxes.},
doi = {10.1007/s00376-017-7091-5},
journal = {Advances in Atmospheric Sciences},
number = 2,
volume = 35,
place = {United States},
year = {2018},
month = {1}
}

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Cited by: 1 work
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Figures / Tables:

Figure 1 Figure 1: a) The three nested domains used in the WRF model in this study. The innermost domain has 2 km spatial resolution. The diamond represents the ARM SGP Central Facility. b) The three vertical aerosol profiles used in this study: clean (green), SGP (yellow), and polluted (red).

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