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Effects from Time Dependence of Ice Nucleus Activity for Contrasting Cloud Types

Waman, Deepak LU orcid ; Phillips, Vaughan LU orcid ; Jadav, Arti LU orcid ; Patade, Sachin LU ; Jakobsson, Jonas LU and Bansemer, Aaron (2023) In Journal of Atmospheric Sciences 80. p.2013-2039
Abstract
The role of time-dependent freezing of ice nucleating particles (INPs) is evaluated with the “Aerosol–Cloud” (AC) model in 1) deep convection observed over Oklahoma during the Midlatitude Continental Convective Cloud Experiment (MC3E), 2) orographic clouds observed over North California during the Atmospheric Radiation Measurement (ARM) Cloud Aerosol Precipitation Experiment (ACAPEX), and 3) supercooled, stratiform clouds over the United Kingdom, observed during the Aerosol Properties, Processes And Influences on the Earth’s climate (APPRAISE) campaign. AC uses the dynamical core of the WRF Model and has hybrid bin–bulk microphysics and a 3D mesoscale domain. AC is validated against coincident aircraft, ground-based, and satellite... (More)
The role of time-dependent freezing of ice nucleating particles (INPs) is evaluated with the “Aerosol–Cloud” (AC) model in 1) deep convection observed over Oklahoma during the Midlatitude Continental Convective Cloud Experiment (MC3E), 2) orographic clouds observed over North California during the Atmospheric Radiation Measurement (ARM) Cloud Aerosol Precipitation Experiment (ACAPEX), and 3) supercooled, stratiform clouds over the United Kingdom, observed during the Aerosol Properties, Processes And Influences on the Earth’s climate (APPRAISE) campaign. AC uses the dynamical core of the WRF Model and has hybrid bin–bulk microphysics and a 3D mesoscale domain. AC is validated against coincident aircraft, ground-based, and satellite observations for all three cases. Filtered concentrations of ice (.0.1–0.2 mm) agree with those observed at all sampled levels. AC predicts the INP activity of various types of aerosol particles with an empirical parameterization (EP), which follows a singular approach (no time dependence). Here, the EP is modified to represent time-dependent INP activity by a purely empirical approach, using our published laboratory observations of time-dependent INP activity. In all simulated clouds, the inclusion of time dependence increases the predicted INP activity of mineral dust particles by 0.5–1 order of magnitude. However, there is little impact on the cloud glaciation because the total ice is mostly (80%–90%) from secondary ice production (SIP) at levels warmer than about 2368C. The Hallett–Mossop process and fragmentation in ice–ice collisions together initiate about 70% of the total ice, whereas fragmentation during both raindrop freezing and sublimation contributes ,10%. Overall, total ice concentrations and SIP are unaffected by time-dependent INP activity. In the simulated APPRAISE case, the main causes of persistence of long-lived clouds and precipitation are predicted to be SIP in weak embedded convection and reactivation following recirculation of dust particles in supercooled layer cloud. (Less)
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author
; ; ; ; and
contributor
LU
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Ice crystals, Clouds, Time dependence, primary ice, secondary ice, layer clouds, orographic clouds, thunderstorm, numerical cloud model
in
Journal of Atmospheric Sciences
volume
80
pages
27 pages
publisher
Amer Meteorological Soc
external identifiers
  • scopus:85169559559
ISSN
1520-0469
DOI
10.1175/JAS-D-22-0187.1
project
Mechanisms for the Ice Nucleus Aerosols and their Indirect Effects: Cloud Modelling
Secondary ice production: An empirical formulation and organization of mechanisms among simulated cloud-types
Mechanisms for the Influence from Ice Nucleus Aerosols on Clouds and their Indirect Effects: Cloud Modelling
language
English
LU publication?
yes
id
b90be54d-6259-44ed-9f87-6cfae28d9633
date added to LUP
2023-09-04 13:53:44
date last changed
2024-03-08 08:59:02
@article{b90be54d-6259-44ed-9f87-6cfae28d9633,
  abstract     = {{The role of time-dependent freezing of ice nucleating particles (INPs) is evaluated with the “Aerosol–Cloud” (AC) model in 1) deep convection observed over Oklahoma during the Midlatitude Continental Convective Cloud Experiment (MC3E), 2) orographic clouds observed over North California during the Atmospheric Radiation Measurement (ARM) Cloud Aerosol Precipitation Experiment (ACAPEX), and 3) supercooled, stratiform clouds over the United Kingdom, observed during the Aerosol Properties, Processes And Influences on the Earth’s climate (APPRAISE) campaign. AC uses the dynamical core of the WRF Model and has hybrid bin–bulk microphysics and a 3D mesoscale domain. AC is validated against coincident aircraft, ground-based, and satellite observations for all three cases. Filtered concentrations of ice (.0.1–0.2 mm) agree with those observed at all sampled levels. AC predicts the INP activity of various types of aerosol particles with an empirical parameterization (EP), which follows a singular approach (no time dependence). Here, the EP is modified to represent time-dependent INP activity by a purely empirical approach, using our published laboratory observations of time-dependent INP activity. In all simulated clouds, the inclusion of time dependence increases the predicted INP activity of mineral dust particles by 0.5–1 order of magnitude. However, there is little impact on the cloud glaciation because the total ice is mostly (80%–90%) from secondary ice production (SIP) at levels warmer than about 2368C. The Hallett–Mossop process and fragmentation in ice–ice collisions together initiate about 70% of the total ice, whereas fragmentation during both raindrop freezing and sublimation contributes ,10%. Overall, total ice concentrations and SIP are unaffected by time-dependent INP activity. In the simulated APPRAISE case, the main causes of persistence of long-lived clouds and precipitation are predicted to be SIP in weak embedded convection and reactivation following recirculation of dust particles in supercooled layer cloud.}},
  author       = {{Waman, Deepak and Phillips, Vaughan and Jadav, Arti and Patade, Sachin and Jakobsson, Jonas and Bansemer, Aaron}},
  issn         = {{1520-0469}},
  keywords     = {{Ice crystals; Clouds; Time dependence; primary ice; secondary ice; layer clouds; orographic clouds; thunderstorm; numerical cloud model}},
  language     = {{eng}},
  month        = {{08}},
  pages        = {{2013--2039}},
  publisher    = {{Amer Meteorological Soc}},
  series       = {{Journal of Atmospheric Sciences}},
  title        = {{Effects from Time Dependence of Ice Nucleus Activity for Contrasting Cloud Types}},
  url          = {{https://lup.lub.lu.se/search/files/157168229/Waman_etal_2023a.pdf}},
  doi          = {{10.1175/JAS-D-22-0187.1}},
  volume       = {{80}},
  year         = {{2023}},
}