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Title: A new parameterization of ice heterogeneous nucleation coupled to aerosol chemistry in WRF-Chem model version 3.5.1: evaluation through ISDAC measurements

Abstract

In the Arctic, during polar night and early spring, ice clouds are separated into two leading types of ice clouds (TICs): (1) TIC1 clouds characterized by a large concentration of very small crystals and TIC2 clouds characterized by a low concentration of large ice crystals. Using a suitable parameterization of heterogeneous ice nucleation is essential for properly representing ice clouds in meteorological and climate models and subsequently understanding their interactions with aerosols and radiation. Here, we describe a new parameterization for ice crystal formation by heterogeneous nucleation in water-subsaturated conditions coupled to aerosol chemistry in the Weather Research and Forecasting model coupled with chemistry (WRF-Chem). The parameterization is implemented in the Milbrandt and Yau (2005a, b) two-moment cloud microphysics scheme, and we assess how the WRF-Chem model responds to the run-time interaction between chemistry and the new parameterization. Well-documented reference cases provided us with in situ data from the spring 2008 Indirect and Semi-Direct Aerosol Campaign (ISDAC) over Alaska. Our analysis reveals that the new parameterization clearly improves the representation of the ice water content (IWC) in polluted or unpolluted air masses and shows the poor performance of the reference parameterization in representing ice clouds with low IWC. The newmore » parameterization is able to represent TIC1 and TIC2 microphysical characteristics at the top of the clouds, where heterogenous ice nucleation is most likely occurring, even with the known bias of simulated aerosols by WRF-Chem over the Arctic.« less

Authors:
 [1];  [1]; ORCiD logo [2];  [3]; ORCiD logo [1];  [4];  [4];  [1]
  1. Univ. du Québec, Montréal, QC (Canada)
  2. Univ. du Québec, Montréal, QC (Canada); Sorbonne Univ., Paris (France)
  3. Univ. du Québec, Montréal, QC (Canada); Univ. Paul Sabatier, Toulouse (France)
  4. Sorbonne Univ., Paris (France)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); Network on Climate and Aerosols: Addressing Key Uncertainties in Remote Canadian Environments (NETCARE); Natural Sciences and Engineering Research Council of Canada (NSERC)
Contributing Org.:
PNNL, BNL, ANL, ORNL
OSTI Identifier:
1751933
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Name: Geoscientific Model Development (Online); Journal Volume: 13; Journal Issue: 11; Journal ID: ISSN 1991-9603
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Keita, Setigui Aboubacar, Girard, Eric, Raut, Jean-Christophe, Leriche, Maud, Blanchet, Jean-Pierre, Pelon, Jacques, Onishi, Tatsuo, and Cirisan, Ana. A new parameterization of ice heterogeneous nucleation coupled to aerosol chemistry in WRF-Chem model version 3.5.1: evaluation through ISDAC measurements. United States: N. p., 2020. Web. https://doi.org/10.5194/gmd-13-5737-2020.
Keita, Setigui Aboubacar, Girard, Eric, Raut, Jean-Christophe, Leriche, Maud, Blanchet, Jean-Pierre, Pelon, Jacques, Onishi, Tatsuo, & Cirisan, Ana. A new parameterization of ice heterogeneous nucleation coupled to aerosol chemistry in WRF-Chem model version 3.5.1: evaluation through ISDAC measurements. United States. https://doi.org/10.5194/gmd-13-5737-2020
Keita, Setigui Aboubacar, Girard, Eric, Raut, Jean-Christophe, Leriche, Maud, Blanchet, Jean-Pierre, Pelon, Jacques, Onishi, Tatsuo, and Cirisan, Ana. Wed . "A new parameterization of ice heterogeneous nucleation coupled to aerosol chemistry in WRF-Chem model version 3.5.1: evaluation through ISDAC measurements". United States. https://doi.org/10.5194/gmd-13-5737-2020. https://www.osti.gov/servlets/purl/1751933.
@article{osti_1751933,
title = {A new parameterization of ice heterogeneous nucleation coupled to aerosol chemistry in WRF-Chem model version 3.5.1: evaluation through ISDAC measurements},
author = {Keita, Setigui Aboubacar and Girard, Eric and Raut, Jean-Christophe and Leriche, Maud and Blanchet, Jean-Pierre and Pelon, Jacques and Onishi, Tatsuo and Cirisan, Ana},
abstractNote = {In the Arctic, during polar night and early spring, ice clouds are separated into two leading types of ice clouds (TICs): (1) TIC1 clouds characterized by a large concentration of very small crystals and TIC2 clouds characterized by a low concentration of large ice crystals. Using a suitable parameterization of heterogeneous ice nucleation is essential for properly representing ice clouds in meteorological and climate models and subsequently understanding their interactions with aerosols and radiation. Here, we describe a new parameterization for ice crystal formation by heterogeneous nucleation in water-subsaturated conditions coupled to aerosol chemistry in the Weather Research and Forecasting model coupled with chemistry (WRF-Chem). The parameterization is implemented in the Milbrandt and Yau (2005a, b) two-moment cloud microphysics scheme, and we assess how the WRF-Chem model responds to the run-time interaction between chemistry and the new parameterization. Well-documented reference cases provided us with in situ data from the spring 2008 Indirect and Semi-Direct Aerosol Campaign (ISDAC) over Alaska. Our analysis reveals that the new parameterization clearly improves the representation of the ice water content (IWC) in polluted or unpolluted air masses and shows the poor performance of the reference parameterization in representing ice clouds with low IWC. The new parameterization is able to represent TIC1 and TIC2 microphysical characteristics at the top of the clouds, where heterogenous ice nucleation is most likely occurring, even with the known bias of simulated aerosols by WRF-Chem over the Arctic.},
doi = {10.5194/gmd-13-5737-2020},
journal = {Geoscientific Model Development (Online)},
number = 11,
volume = 13,
place = {United States},
year = {2020},
month = {11}
}

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