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Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions

Journal Article · · Advances in Atmospheric Sciences
 [1];  [2];  [3];  [4];  [5]
  1. Brookhaven National Laboratory (BNL), Upton, NY (United States)
  2. McGill Univ., Montreal, QC (Canada)
  3. University of Hyogo, Kobe (Japan)
  4. Nanjing Univ. of Information Science and Technology (China)
  5. National Center for Atmospheric Research (NCAR), Boulder, CO (United States)
+ Show Author Affiliations
Cloud microphysical processes occur at the smallest end of scales among cloud-related processes and thus must be parameterized not only in large-scale global circulation models (GCMs) but also in various higher-resolution limited-area models such as cloud-resolving models (CRMs) and large-eddy simulation (LES) models. Instead of giving a comprehensive review of existing microphysical parameterizations that have been developed over the years, this study concentrates purposely on several topics that we believe are understudied but hold great potential for further advancing bulk microphysics parameterizations: multi-moment bulk microphysics parameterizations and the role of the spectral shape of hydrometeor size distributions; discrete vs “continuous” representation of hydrometeor types; turbulence-microphysics interactions including turbulent entrainment-mixing processes and stochastic condensation; theoretical foundations for the mathematical expressions used to describe hydrometeor size distributions and hydrometeor morphology; and approaches for developing bulk microphysics parameterizations. Also presented are the spectral bin scheme and particle-based scheme (especially, super-droplet method) for representing explicit microphysics. Their advantages and disadvantages are elucidated for constructing cloud models with detailed microphysics that are essential to developing processes understanding and bulk microphysics parameterizations. Particle-resolved direct numerical simulation (DNS) models are described as an emerging technique to investigate turbulence-microphysics interactions at the most fundamental level by tracking individual particles and resolving the smallest turbulent eddies in turbulent clouds. Outstanding challenges and future research directions are explored as well.
Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office; USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC0012704
OSTI ID:
1913814
Report Number(s):
BNL--223868-2023-JAAM
Journal Information:
Advances in Atmospheric Sciences, Journal Name: Advances in Atmospheric Sciences Journal Issue: 5 Vol. 40; ISSN 0256-1530
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English

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Numerical Modeling of Dynamical and Microphysical Evolution of an Isolated Convective Cloud: The 19 July 1981 CCOPE Cloud [孤立した対流雲の力学的•微物理学的変化の数値モデリング: 1981年7月19日CCOPE期間中に観測された雲について] journal January 1990
Large Eddy Simulation of Early Stage Contrails: Effect of Atmospheric Properties conference June 2012
Improving collisional growth in Lagrangian cloud models: development and verification of a new splitting algorithm dataset January 2018
Impact of Different Double-Moment Microphysical Schemes on Simulations of a Bow-Shaped Squall Line in East China journal April 2022
Variability in concentrations of cloud condensation nuclei in the marine cloud—topped boundary layer journal January 1993
Numerical simulation of clouds and precipitation depending on different relationships between aerosol and cloud droplet spectral dispersion journal February 2013
Occurrence of lower cloud albedo in ship tracks journal January 2012
Evaluating and constraining ice cloud parameterizations in CAM5 using aircraft measurements from the SPARTICUS campaign journal January 2013
Comparison of ice cloud properties simulated by the Community Atmosphere Model (CAM5) with in-situ observations journal January 2014
Investigation of ice particle habits to be used for ice cloud remote sensing for the GCOM-C satellite mission journal January 2016
Reynolds-number dependence of turbulence enhancement on collision growth journal October 2016
Developing and bounding ice particle mass- and area-dimension expressions for use in atmospheric models and remote sensing journal January 2016
Theoretical study of mixing in liquid clouds – Part 1: Classical concepts journal January 2016
Theoretical investigation of mixing in warm clouds – Part 2: Homogeneous mixing journal January 2016
Theoretical analysis of mixing in liquid clouds – Part 3: Inhomogeneous mixing journal January 2016
Stochastic coalescence in Lagrangian cloud microphysics journal January 2017
Sensitivity study of cloud parameterizations with relative dispersion in CAM5.1: impacts on aerosol indirect effects journal January 2017
Bridging the condensation–collision size gap: a direct numerical simulation of continuous droplet growth in turbulent clouds journal January 2018
On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect journal January 2018
Impact of aerosols and turbulence on cloud droplet growth: an in-cloud seeding case study using a parcel–DNS (direct numerical simulation) approach journal August 2020
Investigation of ice cloud modeling capabilities for the irregularly shaped Voronoi ice scattering models in climate simulations journal April 2022
Influences of an entrainment–mixing parameterization on numerical simulations of cumulus and stratocumulus clouds journal April 2022
Does the threshold representation associated with the autoconversion process matter? journal January 2008
Collection/aggregation algorithms in Lagrangian cloud microphysical models: rigorous evaluation in box model simulations journal January 2017
Lagrangian condensation microphysics with Twomey CCN activation journal January 2018
libcloudph++ 2.0: aqueous-phase chemistry extension of the particle-based cloud microphysics scheme journal January 2018
Improving collisional growth in Lagrangian cloud models: development and verification of a new splitting algorithm journal January 2018
Predicting the morphology of ice particles in deep convection using the super-droplet method: development and evaluation of SCALE-SDM 0.2.5-2.2.0, -2.2.1, and -2.2.2 journal January 2020
Collisional growth in a particle-based cloud microphysical model: insights from column model simulations using LCM1D (v1.0) journal October 2020
Optimisation of the simulation particle number in a Lagrangian ice microphysical model journal January 2014
Investigation of Turbulent Entrainment-Mixing Processes with a New Particle-Resolved Direct Numerical Simulation Model collection January 2018

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Related Subjects

54 ENVIRONMENTAL SCIENCES
bin microphysics
cloud microphysics
parameterizations
particle-based microphysics
particle-resolved direct numerical simulations
systems theory