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Title: Improving Parameterization of Entrainment Rate for Shallow Convection with Aircraft Measurements and Large-Eddy Simulation

Journal Article · · Journal of the Atmospheric Sciences
 [1];  [2];  [3];  [4];  [2];  [4];  [5];  [4]
  1. Nanjing Univ. of Information Science and Technology, Nanjing (China); Chinese Academy of Sciences (CAS), Beijing (China); Brookhaven National Lab. (BNL), Upton, NY (United States)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States)
  3. Univ. of California, San Diego, CA (United States); Tsinghua Univ., Beijing (China)
  4. Nanjing Univ. of Information Science and Technology, Nanjing (China)
  5. Institute of Plateau Meteorology, China Meteorological Administration, Chengdu (China)

This work examines the relationships of entrainment rate to vertical velocity, buoyancy, and turbulent dissipation rate by applying stepwise principal component regression to observational data from shallow cumulus clouds collected during the Routine AAF [Atmospheric Radiation Measurement (ARM) Aerial Facility] Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations (RACORO) field campaign over the ARM Southern Great Plains (SGP) site near Lamont, Oklahoma. The cumulus clouds during the RACORO campaign simulated using a large eddy simulation (LES) model are also examined with the same approach. The analysis shows that a combination of multiple variables can better represent entrainment rate in both the observations and LES than any single-variable fitting. Three commonly used parameterizations are also tested on the individual cloud scale. A new parameterization is therefore presented that relates entrainment rate to vertical velocity, buoyancy and dissipation rate; the effects of treating clouds as ensembles and humid shells surrounding cumulus clouds on the new parameterization are discussed. Physical mechanisms underlying the relationships of entrainment rate to vertical velocity, buoyancy and dissipation rate are also explored.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC0012704
OSTI ID:
1239781
Report Number(s):
BNL-111645-2015-JA; R&D Project: 2016-BNL-EE631EECA-Budg; KP1703020
Journal Information:
Journal of the Atmospheric Sciences, Vol. 73, Issue 2; ISSN 0022-4928
Publisher:
American Meteorological SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 41 works
Citation information provided by
Web of Science

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Cited By (4)

On Which Microphysical Time Scales to Use in Studies of Entrainment‐Mixing Mechanisms in Clouds journal April 2018
Observational Relationship Between Entrainment Rate and Environmental Relative Humidity and Implications for Convection Parameterization journal December 2018
On the Utility (or Futility) of Using Stable Water Isotopes to Constrain the Bulk Properties of Tropical Convection journal February 2018
Parameterization of Entrainment Rate and Mass Flux in Continental Cumulus Clouds: Inference From Large Eddy Simulation journal December 2019

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