Identification

Title

Turbulent activation of cloud condensation nuclei

Alternative title(s)

d583148

Abstract

<p> This dataset contains selected codes and data from simulations investigating the impact of cloud-base turbulence on activation of cloud condensation nuclei (CCN). Activation of two monodisperse CCN are studied within an adiabatic parcel rising through the cloud base and filled with homogeneous isotropic turbulence. We apply a forced implicit large eddy simulation methodology (Grabowski and Thomas Atmospheric Chemistry and Physics, 2021) within a triply periodic computational domain of (64m)^3. Small CCN are assumed to have a dry radius of 0.01 micron and a corresponding activation (critical) radius and activation supersaturation of 0.6 micron and 1.3%, respectively. Large CCN have a dry radius of 0.2 micron and feature activation radius of 5.4 micron and activation supersaturation 0.15 %. CCN are assumed in 200 cm^-3 concentration in all cases. Mean cloud base updraft velocities of 0.33, 1, and 3 m/s are considered. Turbulence can lead to activation of only a fraction of all CCN and lead to a non-zero droplet spectral width just above the cloud base, of the order of 1 micron, especially in the case of small CCN and weak mean cloud base ascent. The simulations document an important role of cloud base turbulence on cloud base CCN activation.</p>

Resource type

dataset

Resource locator

https://gdex.ucar.edu/datasets/d583148/

protocol: https

name: Dataset Description

description: Related Link

function: information

https://gdex.ucar.edu/datasets/d583148/dataaccess/

protocol: https

name: Data Access

description: Related Link

function: download

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

climatologyMeteorologyAtmosphere

Keywords

Keyword set

keyword value

dataset

originating controlled vocabulary

title

reference date

date type

revision

effective date

2021-03-30

Keyword set

keyword value

WRF > Weather Research and Forecasting (WRF) Model

originating controlled vocabulary

title

reference date

date type

revision

effective date

2025-10-03

Keyword set

keyword value

EARTH SCIENCE > ATMOSPHERE > AEROSOLS > CLOUD CONDENSATION NUCLEI

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > WIND DYNAMICS > TURBULENCE

originating controlled vocabulary

title

reference date

date type

revision

effective date

2025-10-03

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2021-07-14

Frequency of update

notPlanned

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Creative Commons Attribution 4.0 International License

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

email address

datahelp@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

NSF NCAR Geoscience Data Exchange

email address

datahelp@ucar.edu

web address

https://gdex.ucar.edu

name: NSF NCAR Geoscience Data Exchange

description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.

function: download

responsible party role

pointOfContact

Metadata date

2025-10-09T01:45:30Z

Metadata language