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Title: Redistribution of ice nuclei between cloud and rain droplets: Parameterization and application to deep convective clouds: ICE NUCLEI IN RAIN DROPLETS

Journal Article · · Journal of Advances in Modeling Earth Systems
DOI:https://doi.org/10.1002/2016MS000841· OSTI ID:1347960
 [1]; ORCiD logo [2];  [3]
  1. Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Karlsruhe Germany; Now at Pacific Northwest National Laboratory, Richland Washington USA
  2. Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Karlsruhe Germany
  3. Leibniz Institute for Tropospheric Research, Leipzig Germany

In model studies of aerosol-dependent immersion freezing in clouds, a common assumption is that each ice nucleating aerosol particle corresponds to exactly one cloud droplet. Conversely, the immersion freezing of larger drops—“rain”—is usually represented by a liquid volume-dependent approach, making the parameterizations of rain freezing independent of specific aerosol types and concentrations. This may lead to inconsistencies when aerosol effects on clouds and precipitation shall be investigated, since raindrops consist of the cloud droplets—and corresponding aerosol particles—that have been involved in drop-drop-collisions. We introduce an extension to a two-moment microphysical scheme in order to account explicitly for particle accumulation in raindrops by tracking the rates of selfcollection, autoconversion, and accretion. This also provides a direct link between ice nuclei and the primary formation of large precipitating ice particles. A new parameterization scheme of drop freezing is presented to consider multiple ice nuclei within one drop and effective drop cooling rates. In our test cases of deep convective clouds, we find that at altitudes which are most relevant for immersion freezing, the majority of potential ice nuclei have been converted from cloud droplets into raindrops. Compared to the standard treatment of freezing in our model, the less efficient mineral dust-based freezing results in higher rainwater contents in the convective core, affecting both rain and hail precipitation. The aerosol-dependent treatment of rain freezing can reverse the signs of simulated precipitation sensitivities to ice nuclei perturbations.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC0576RL01830; (VH-NG-620); (HO 4612/1-1 and HO 4612/1-2)
OSTI ID:
1347960
Journal Information:
Journal of Advances in Modeling Earth Systems, Vol. 9, Issue 1; ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 13 works
Citation information provided by
Web of Science

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Cited By (10)

A Modeling Study on the Sensitivities of Atmospheric Charge Separation According to the Relative Diffusional Growth Rate Theory to Nonspherical Hydrometeors and Cloud Microphysics journal November 2018
Cloud Top Phase Distributions of Simulated Deep Convective Clouds journal September 2018
Partitioning the primary ice formation modes in large eddy simulations of mixed-phase clouds journal January 2017
Initiation of secondary ice production in clouds journal January 2018
The impact of secondary ice production on Arctic stratocumulus journal January 2020
A Modeling Study on the Sensitivities of Atmospheric Charge Separation According to the Relative Diffusional Growth Rate Theory to Nonspherical Hydrometeors and Cloud Microphysics text January 2018
Initiation of secondary ice production in clouds text January 2018
Cloud top phase distributions of simulated deep convective clouds text January 2018
A Modeling Study on the Sensitivities of Atmospheric Charge Separation According to the Relative Diffusional Growth Rate Theory to Nonspherical Hydrometeors and Cloud Microphysics text January 2018
Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation journal January 2018

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