Relating Convection to GCM Grid-Scale Fields Using Cloud-Resolving Model Simulation of a Squall Line Observed during MC3E Field Experiment

In this study, a WRF (Weather Research and Forecasting) model is used as a cloud-resolving model to simulate a squall line observed on 20 May 2011 in the Southern Great Plains (SGP) of the United States. The model output is then used to examine the relationships between convective precipitation and...

Full description

Bibliographic Details
Main Authors: Rui Cheng, Guang J. Zhang
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/10/9/523
id doaj-47759db8f20642c886705cbdbae9029b
record_format Article
spelling doaj-47759db8f20642c886705cbdbae9029b2020-11-25T02:42:47ZengMDPI AGAtmosphere2073-44332019-09-0110952310.3390/atmos10090523atmos10090523Relating Convection to GCM Grid-Scale Fields Using Cloud-Resolving Model Simulation of a Squall Line Observed during MC3E Field ExperimentRui Cheng0Guang J. Zhang1LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaScripps Institution of Oceanography, University of California, San Diego La Jolla, CA 92093-0230, USAIn this study, a WRF (Weather Research and Forecasting) model is used as a cloud-resolving model to simulate a squall line observed on 20 May 2011 in the Southern Great Plains (SGP) of the United States. The model output is then used to examine the relationships between convective precipitation and coarse-grained variables averaged over a range of subdomain sizes equivalent to various global climate model horizontal resolutions. The objective is to determine to what extent convection within the subdomains can be related to these “large-scale” variables, thus that they can potentially serve as closure in convective parameterization. Results show that convective precipitation is well correlated with the vertical velocity at 500 hPa, column integrated moisture convergence and CAPE change due to large-scale advective forcing (dCAPE) for various subdomain sizes, but the correlation decreases with decreasing subdomain size. dCAPE leads convective precipitation for all subdomain sizes examined; however, the lead time decreases with decreasing subdomain size. Moisture convergence leads convective precipitation for subdomain sizes greater than 32 km but has no lead time for smaller subdomain sizes. Mid-tropospheric vertical velocity has no lead time or slightly lags convective precipitation. The lead/lag composite analysis with respect to maximum precipitation time indicates that peaks of large-scale variables increase with decreasing subdomain size. The peaks of 500 hPa vertical velocity and column integrated moisture convergence occur at the same time as maximum precipitation, but maximum dCAPE leads maximum precipitation by twelve minutes.https://www.mdpi.com/2073-4433/10/9/523convection parameterization closurecloud-resolving model simulationMC3E squall line
collection DOAJ
language English
format Article
sources DOAJ
author Rui Cheng
Guang J. Zhang
spellingShingle Rui Cheng
Guang J. Zhang
Relating Convection to GCM Grid-Scale Fields Using Cloud-Resolving Model Simulation of a Squall Line Observed during MC3E Field Experiment
Atmosphere
convection parameterization closure
cloud-resolving model simulation
MC3E squall line
author_facet Rui Cheng
Guang J. Zhang
author_sort Rui Cheng
title Relating Convection to GCM Grid-Scale Fields Using Cloud-Resolving Model Simulation of a Squall Line Observed during MC3E Field Experiment
title_short Relating Convection to GCM Grid-Scale Fields Using Cloud-Resolving Model Simulation of a Squall Line Observed during MC3E Field Experiment
title_full Relating Convection to GCM Grid-Scale Fields Using Cloud-Resolving Model Simulation of a Squall Line Observed during MC3E Field Experiment
title_fullStr Relating Convection to GCM Grid-Scale Fields Using Cloud-Resolving Model Simulation of a Squall Line Observed during MC3E Field Experiment
title_full_unstemmed Relating Convection to GCM Grid-Scale Fields Using Cloud-Resolving Model Simulation of a Squall Line Observed during MC3E Field Experiment
title_sort relating convection to gcm grid-scale fields using cloud-resolving model simulation of a squall line observed during mc3e field experiment
publisher MDPI AG
series Atmosphere
issn 2073-4433
publishDate 2019-09-01
description In this study, a WRF (Weather Research and Forecasting) model is used as a cloud-resolving model to simulate a squall line observed on 20 May 2011 in the Southern Great Plains (SGP) of the United States. The model output is then used to examine the relationships between convective precipitation and coarse-grained variables averaged over a range of subdomain sizes equivalent to various global climate model horizontal resolutions. The objective is to determine to what extent convection within the subdomains can be related to these “large-scale” variables, thus that they can potentially serve as closure in convective parameterization. Results show that convective precipitation is well correlated with the vertical velocity at 500 hPa, column integrated moisture convergence and CAPE change due to large-scale advective forcing (dCAPE) for various subdomain sizes, but the correlation decreases with decreasing subdomain size. dCAPE leads convective precipitation for all subdomain sizes examined; however, the lead time decreases with decreasing subdomain size. Moisture convergence leads convective precipitation for subdomain sizes greater than 32 km but has no lead time for smaller subdomain sizes. Mid-tropospheric vertical velocity has no lead time or slightly lags convective precipitation. The lead/lag composite analysis with respect to maximum precipitation time indicates that peaks of large-scale variables increase with decreasing subdomain size. The peaks of 500 hPa vertical velocity and column integrated moisture convergence occur at the same time as maximum precipitation, but maximum dCAPE leads maximum precipitation by twelve minutes.
topic convection parameterization closure
cloud-resolving model simulation
MC3E squall line
url https://www.mdpi.com/2073-4433/10/9/523
work_keys_str_mv AT ruicheng relatingconvectiontogcmgridscalefieldsusingcloudresolvingmodelsimulationofasqualllineobservedduringmc3efieldexperiment
AT guangjzhang relatingconvectiontogcmgridscalefieldsusingcloudresolvingmodelsimulationofasqualllineobservedduringmc3efieldexperiment
_version_ 1724771515751202816