CaltechAUTHORS
  A Caltech Library Service

Ice nucleation by aerosols from anthropogenic pollution

Zhao, Bin and Wang, Yuan and Gu, Yu and Liou, Kuo-Nan and Jiang, Jonathan H. and Fan, Jiwen and Liu, Xiaohong and Huang, Lei and Yung, Yuk L. (2019) Ice nucleation by aerosols from anthropogenic pollution. Nature Geoscience, 12 (8). pp. 602-607. ISSN 1752-0894. https://resolver.caltech.edu/CaltechAUTHORS:20190507-141107713

[img] PDF (Supplementary discussion, figures and tables) - Supplemental Material
See Usage Policy.

1582Kb

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20190507-141107713

Abstract

The formation of ice particles in the atmosphere strongly affects cloud properties and the climate. While mineral dust is known to be an effective ice nucleating particle, the role of aerosols from anthropogenic pollution in ice nucleation is still under debate. Here we probe the ice nucleation ability of different aerosol types by combining 11-year observations from multiple satellites and cloud-resolving model simulations. We find that, for strong convective systems, the ice particle effective radius near cloud top decreases with increasing loading of polluted continental aerosols, because the ice formation is dominated by homogeneous freezing of cloud droplets, which are smaller under more polluted conditions. By contrast, an increase in ice particle effective radius with polluted continental aerosols is found for moderate convection. Our model simulations suggest that this positive correlation is explained by enhanced heterogeneous ice nucleation and prolonged ice particle growth at higher aerosol loading, indicating that polluted continental aerosols contain a considerable fraction of ice nucleating particles. Similar aerosol–ice relationships are observed for dust aerosols, further corroborating the ice nucleation ability of polluted continental aerosols. By catalysing ice formation, aerosols from anthropogenic pollution could have profound impacts on cloud lifetime and radiative effect as well as precipitation efficiency.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1038/s41561-019-0389-4DOIArticle
https://rdcu.be/bJjt7PublisherFree ReadCube access
ORCID:
AuthorORCID
Zhao, Bin0000-0001-8438-9188
Wang, Yuan0000-0001-6657-8401
Gu, Yu0000-0002-3412-0794
Jiang, Jonathan H.0000-0002-5929-8951
Fan, Jiwen0000-0001-5280-4391
Liu, Xiaohong0000-0002-3994-5955
Huang, Lei0000-0002-4941-7814
Yung, Yuk L.0000-0002-4263-2562
Additional Information:© 2019 Springer Nature Publishing AG. Received 16 December 2018; Accepted 15 May 2019; Published 01 July 2019. Data availability: The satellite and meteorology data products used in this study are publicly available at the following sites: MODIS/Aqua MYD04 and MYD06 products: https://earthdata.nasa.gov/ CALIOP/CALIPSO 05kmMLay and 05kmAPro products: https://eosweb.larc.nasa.gov/ AIRS/Aqua AIRIBRAD product: https://disc.gsfc.nasa.gov/ NCEP Final Analysis product: https://rda.ucar.edu/datasets/ds083.2/ Other data supporting the findings of this study are available within the Article and Supplementary Information. Code availability: The code of the WRF-SBM model is available at http://www2.mmm.ucar.edu/wrf/users/download/get_source.html. The scripts used to process the satellite data can be requested from the corresponding authors. This study is supported by the NASA ROSES TASNPP (80NSSC18K0985) and NSF AGS-1701526, AGS-1700727 and AGS-1642289 grants. We acknowledge the support of the Jet Propulsion Laboratory, California Institute of Technology, under contract with NASA, and the Joint Institute for Regional Earth System Science and Engineering at the University of California Los Angeles. The effort of J.F. was supported by the US Department of Energy (DOE) Early Career Research Program. X.L. was supported by the US DOE Atmospheric System Research Program (grants DE-SC0014239 and DE-SC0018926). We would like to acknowledge high-performance computing support from Cheyenne (https://doi.org/10.5065/D6RX99HX) provided by NCAR’s Computational and Information Systems Laboratory, sponsored by the National Science Foundation. Author Contributions: B.Z., Y.G. and Y.W. designed the research; B.Z., Y.G., Y.W. and L.H. performed the satellite data analysis; Y.W., B.Z. and J.F. performed the model simulation; B.Z., Y.W., Y.G., K.-N.L., J.F., J.H.J. and X.L. analysed the results; B.Z., Y.W., Y.G., K.-N.L., J.H.J., J.F., X.L. and Y.L.Y. wrote the paper. The authors declare no competing interests.
Group:Astronomy Department
Funders:
Funding AgencyGrant Number
NASA80NSSC18K0985
NSFAGS-1701526
NSFAGS-1700727
NSFAGS-1642289
NASA/JPL/CaltechUNSPECIFIED
UCLAUNSPECIFIED
Department of Energy (DOE)DE-SC0014239
Department of Energy (DOE)DE-SC0018926
Subject Keywords:Atmospheric science; Environmental sciences
Issue or Number:8
Record Number:CaltechAUTHORS:20190507-141107713
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190507-141107713
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:95310
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:08 Jul 2019 18:17
Last Modified:20 Apr 2020 08:47

Repository Staff Only: item control page