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Title: Chapter 7 - Simulations of Arctic Mixed-Phase Boundary Layer Clouds: Advances in Understanding and Outstanding Questions. In: Mixed-Phase Clouds, Observations and Modeling

Abstract

An overview of mixed-phase boundary layer cloud simulations emphasizes what detailed studies reveal about the level of understanding of microphysical processes, using analogous liquid-phase boundary layer clouds as a reference for the dynamical conditions. We focus primarily on modeling results from three major field campaign case studies, spanning a range of liquid water path, aerosol loading, cloud temperatures, and active processes (including drizzle, aggregation, and riming). Simulations with detailed microphysics are able to reproduce basic aspects of all three case studies, including continuous ice formation within the context of a well-mixed liquid-cloud-topped layer. However, simulations constrained with measurements of ice nuclei generally underpredict the observed amount of ice present, indicating a possible role for ice multiplication that is poorly established. Assumed ice properties may also bear a significant influence on the water vapor budget and reflectivity properties, but remain imprecisely quantified on a case study basis.

Authors:
 [1];  [1]
  1. NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory-National Energy Research Scientific Computing Center (NERSC)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1546617
Resource Type:
Book
Country of Publication:
United States
Language:
English
Subject:
Arctic clouds; Mixed-phase clouds; Mixed-phase microphysical processes; Heterogeneous ice nucleation; Supercooled drizzle; Dendrite aggregation; Riming; Large-eddy simulation; Bin microphysics modelIce crystal properties; Ice nucleation model

Citation Formats

Fridlind, Ann M., and Ackerman, Andrew S. Chapter 7 - Simulations of Arctic Mixed-Phase Boundary Layer Clouds: Advances in Understanding and Outstanding Questions. In: Mixed-Phase Clouds, Observations and Modeling. United States: N. p., 2018. Web. doi:10.1016/B978-0-12-810549-8.00007-6.
Fridlind, Ann M., & Ackerman, Andrew S. Chapter 7 - Simulations of Arctic Mixed-Phase Boundary Layer Clouds: Advances in Understanding and Outstanding Questions. In: Mixed-Phase Clouds, Observations and Modeling. United States. doi:10.1016/B978-0-12-810549-8.00007-6.
Fridlind, Ann M., and Ackerman, Andrew S. Mon . "Chapter 7 - Simulations of Arctic Mixed-Phase Boundary Layer Clouds: Advances in Understanding and Outstanding Questions. In: Mixed-Phase Clouds, Observations and Modeling". United States. doi:10.1016/B978-0-12-810549-8.00007-6.
@article{osti_1546617,
title = {Chapter 7 - Simulations of Arctic Mixed-Phase Boundary Layer Clouds: Advances in Understanding and Outstanding Questions. In: Mixed-Phase Clouds, Observations and Modeling},
author = {Fridlind, Ann M. and Ackerman, Andrew S.},
abstractNote = {An overview of mixed-phase boundary layer cloud simulations emphasizes what detailed studies reveal about the level of understanding of microphysical processes, using analogous liquid-phase boundary layer clouds as a reference for the dynamical conditions. We focus primarily on modeling results from three major field campaign case studies, spanning a range of liquid water path, aerosol loading, cloud temperatures, and active processes (including drizzle, aggregation, and riming). Simulations with detailed microphysics are able to reproduce basic aspects of all three case studies, including continuous ice formation within the context of a well-mixed liquid-cloud-topped layer. However, simulations constrained with measurements of ice nuclei generally underpredict the observed amount of ice present, indicating a possible role for ice multiplication that is poorly established. Assumed ice properties may also bear a significant influence on the water vapor budget and reflectivity properties, but remain imprecisely quantified on a case study basis.},
doi = {10.1016/B978-0-12-810549-8.00007-6},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {1}
}

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