skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra

Abstract

Along with minimizing parameter uncertainty, understanding the cause of temporal and spatial variability of the nucleated ice crystal number, N i, is key to improving the representation of cirrus clouds in climate models. To this end, sensitivities of N i to input variables like aerosol number and diameter provide valuable information about nucleation regime and efficiency for a given model formulation. Here we use the adjoint model of the adjoint of a cirrus formation parameterization (Barahona and Nenes, 2009b) to understand N i variability for various ice-nucleating particle (INP) spectra. Inputs are generated with the Community Atmosphere Model version 5, and simulations are done with a theoretically derived spectrum, an empirical lab-based spectrum and two field-based empirical spectra that differ in the nucleation threshold for black carbon particles and in the active site density for dust. The magnitude and sign of N i sensitivity to insoluble aerosol number can be directly linked to nucleation regime and efficiency of various INP. The lab-based spectrum calculates much higher INP efficiencies than field-based ones, which reveals a disparity in aerosol surface properties. In conclusion, N i sensitivity to temperature tends to be low, due to the compensating effects of temperature on INP spectrum parameters;more » this low temperature sensitivity regime has been experimentally reported before but never deconstructed as done here.« less

Authors:
 [1];  [2];  [3];  [4]
  1. Georgia Inst. of Technology, Atlanta, GA (United States)
  2. Univ. of Los Andes, Bogota (Colombia)
  3. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
  4. Georgia Inst. of Technology, Atlanta, GA (United States); ICE-HT, Foundation for Research and Technology, Hellas (Greece); IERSD, National Observatory of Athens, Palea Penteli (Greece)
Publication Date:
Research Org.:
Georgia Institute of Technology, Atlanta, GA (United States). Dept. of Chemical and Biomolecular Engineering
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1240194
Alternate Identifier(s):
OSTI ID: 1254491
Grant/Contract Number:  
NA0002006; EaSM
Resource Type:
Published Article
Journal Name:
Atmospheric Chemistry and Physics (Online)
Additional Journal Information:
Journal Name: Atmospheric Chemistry and Physics (Online); Journal Volume: 16; Journal Issue: 4; Journal ID: ISSN 1680-7324
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Sullivan, Sylvia C., Morales Betancourt, Ricardo, Barahona, Donifan, and Nenes, Athanasios. Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra. United States: N. p., 2016. Web. doi:10.5194/acp-16-2611-2016.
Sullivan, Sylvia C., Morales Betancourt, Ricardo, Barahona, Donifan, & Nenes, Athanasios. Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra. United States. doi:10.5194/acp-16-2611-2016.
Sullivan, Sylvia C., Morales Betancourt, Ricardo, Barahona, Donifan, and Nenes, Athanasios. Thu . "Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra". United States. doi:10.5194/acp-16-2611-2016.
@article{osti_1240194,
title = {Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra},
author = {Sullivan, Sylvia C. and Morales Betancourt, Ricardo and Barahona, Donifan and Nenes, Athanasios},
abstractNote = {Along with minimizing parameter uncertainty, understanding the cause of temporal and spatial variability of the nucleated ice crystal number, Ni, is key to improving the representation of cirrus clouds in climate models. To this end, sensitivities of Ni to input variables like aerosol number and diameter provide valuable information about nucleation regime and efficiency for a given model formulation. Here we use the adjoint model of the adjoint of a cirrus formation parameterization (Barahona and Nenes, 2009b) to understand Ni variability for various ice-nucleating particle (INP) spectra. Inputs are generated with the Community Atmosphere Model version 5, and simulations are done with a theoretically derived spectrum, an empirical lab-based spectrum and two field-based empirical spectra that differ in the nucleation threshold for black carbon particles and in the active site density for dust. The magnitude and sign of Ni sensitivity to insoluble aerosol number can be directly linked to nucleation regime and efficiency of various INP. The lab-based spectrum calculates much higher INP efficiencies than field-based ones, which reveals a disparity in aerosol surface properties. In conclusion, Ni sensitivity to temperature tends to be low, due to the compensating effects of temperature on INP spectrum parameters; this low temperature sensitivity regime has been experimentally reported before but never deconstructed as done here.},
doi = {10.5194/acp-16-2611-2016},
journal = {Atmospheric Chemistry and Physics (Online)},
number = 4,
volume = 16,
place = {United States},
year = {2016},
month = {3}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.5194/acp-16-2611-2016

Citation Metrics:
Cited by: 2 works
Citation information provided by
Web of Science

Save / Share: