Evaluating Shallow Convection Parameterization Assumptions With a qt–w Quadrant Analysis

Abstract Uncertainties associated with the response of shallow clouds to global warming remain a great challenge for climate projection. Due to the small size of these clouds, parameterizations are required to represent them in both current‐ and next‐generation climate models. We present a quantitat...

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Main Authors: Heng Xiao, Mikhail Ovchinnikov, Larry K. Berg, Johannes Mülmenstädt
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-08-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1029/2022MS003526
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author Heng Xiao
Mikhail Ovchinnikov
Larry K. Berg
Johannes Mülmenstädt
author_facet Heng Xiao
Mikhail Ovchinnikov
Larry K. Berg
Johannes Mülmenstädt
author_sort Heng Xiao
collection DOAJ
description Abstract Uncertainties associated with the response of shallow clouds to global warming remain a great challenge for climate projection. Due to the small size of these clouds, parameterizations are required to represent them in both current‐ and next‐generation climate models. We present a quantitative evaluation of several important assumptions used in both mass‐flux and Assumed‐PDF Higher‐Order Closure parameterizations of shallow convection. We use large‐eddy simulations (LESs) of four different shallow convection regimes as benchmarks and apply a qt (total moisture)–w (vertical velocity) quadrant analysis technique to identify the “coherent structures” of moist and dry up/down‐drafts. The statistics of these coherent structures and the environment are then used to evaluate commonly used assumptions in mass‐flux parameterizations related to (a) the convective downdrafts and (b) the subplume variability of convective updrafts. For quantitative evaluation of the PDF closure used in AP‐HOCs, we perform offline calculations with the PDF closure used in the Cloud Layers Unified By Bi‐normals and the Simplified Higher‐Order Closure schemes by supplying the closure with statistical quantities directly calculated from the LESs. Then, the impact of parameterization assumptions embedded in the PDF closure in the same two categories is analyzed and understood through comparisons of the output from the closure with the statistics of the moist and dry up/down‐drafts from the LESs.
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spelling doaj.art-280f121df0d9468988b3c987da39d7222024-02-02T16:41:18ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662023-08-01158n/an/a10.1029/2022MS003526Evaluating Shallow Convection Parameterization Assumptions With a qt–w Quadrant AnalysisHeng Xiao0Mikhail Ovchinnikov1Larry K. Berg2Johannes Mülmenstädt3Pacific Northwest National Laboratory Richland WA USAPacific Northwest National Laboratory Richland WA USAPacific Northwest National Laboratory Richland WA USAPacific Northwest National Laboratory Richland WA USAAbstract Uncertainties associated with the response of shallow clouds to global warming remain a great challenge for climate projection. Due to the small size of these clouds, parameterizations are required to represent them in both current‐ and next‐generation climate models. We present a quantitative evaluation of several important assumptions used in both mass‐flux and Assumed‐PDF Higher‐Order Closure parameterizations of shallow convection. We use large‐eddy simulations (LESs) of four different shallow convection regimes as benchmarks and apply a qt (total moisture)–w (vertical velocity) quadrant analysis technique to identify the “coherent structures” of moist and dry up/down‐drafts. The statistics of these coherent structures and the environment are then used to evaluate commonly used assumptions in mass‐flux parameterizations related to (a) the convective downdrafts and (b) the subplume variability of convective updrafts. For quantitative evaluation of the PDF closure used in AP‐HOCs, we perform offline calculations with the PDF closure used in the Cloud Layers Unified By Bi‐normals and the Simplified Higher‐Order Closure schemes by supplying the closure with statistical quantities directly calculated from the LESs. Then, the impact of parameterization assumptions embedded in the PDF closure in the same two categories is analyzed and understood through comparisons of the output from the closure with the statistics of the moist and dry up/down‐drafts from the LESs.https://doi.org/10.1029/2022MS003526shallow convectionparameterizationdowndraftssubplume variabilityquadrant analysis
spellingShingle Heng Xiao
Mikhail Ovchinnikov
Larry K. Berg
Johannes Mülmenstädt
Evaluating Shallow Convection Parameterization Assumptions With a qt–w Quadrant Analysis
Journal of Advances in Modeling Earth Systems
shallow convection
parameterization
downdrafts
subplume variability
quadrant analysis
title Evaluating Shallow Convection Parameterization Assumptions With a qt–w Quadrant Analysis
title_full Evaluating Shallow Convection Parameterization Assumptions With a qt–w Quadrant Analysis
title_fullStr Evaluating Shallow Convection Parameterization Assumptions With a qt–w Quadrant Analysis
title_full_unstemmed Evaluating Shallow Convection Parameterization Assumptions With a qt–w Quadrant Analysis
title_short Evaluating Shallow Convection Parameterization Assumptions With a qt–w Quadrant Analysis
title_sort evaluating shallow convection parameterization assumptions with a qt w quadrant analysis
topic shallow convection
parameterization
downdrafts
subplume variability
quadrant analysis
url https://doi.org/10.1029/2022MS003526
work_keys_str_mv AT hengxiao evaluatingshallowconvectionparameterizationassumptionswithaqtwquadrantanalysis
AT mikhailovchinnikov evaluatingshallowconvectionparameterizationassumptionswithaqtwquadrantanalysis
AT larrykberg evaluatingshallowconvectionparameterizationassumptionswithaqtwquadrantanalysis
AT johannesmulmenstadt evaluatingshallowconvectionparameterizationassumptionswithaqtwquadrantanalysis