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Title: Effects of cumulus parameterization closures on simulations of summer precipitation over the continental United States

Abstract

This study examines the effects of five cumulus closure assumptions on simulations of summer precipitation in the continental U.S. by utilizing an ensemble cumulus parameterization (ECP) that incorporates multiple alternate closure schemes into a single cloud model formulation. Results demonstrate that closure algorithms significantly affect the summer mean, daily frequency and intensity, and diurnal variation of precipitation, with strong regional dependence. Overall, the vertical velocity (W) closure produces the smallest summer mean biases, while the moisture convergence (MC) closure most realistically reproduces daily variability. Both closures have advantages over others in simulating U.S. daily rainfall frequency distribution, though both slightly overestimate intense rain events. The MC closure is superior at capturing summer rainfall amount, daily variability, and heavy rainfall frequency over the Central U.S., but systematically produces wet biases over the North American Monsoon (NAM) region and Southeast U.S., which can be reduced by using the W closure. The instability tendency (TD) and the total instability adjustment (KF) closures are better at capturing observed diurnal signals over the Central U.S. and the NAM, respectively. The results reasonably explain the systematic behaviors of several major cumulus parameterizations. A preliminary experiment combining two optimal closures (averaged moisture convergence and vertical velocity) inmore » the ECP scheme significantly reduced the wet (dry) biases over the Southeast U.S. in the summer of 1993 (2003), and greatly improved daily rainfall correlations over the NAM. Further improved model simulation skills may be achieved in the future if optimal closures and their appropriate weights can be derived at different time scales based on specific climate regimes.« less

Authors:
 [1]; ORCiD logo [2]
  1. East China Normal University, Shanghai, (China). Key Laboratory of Geographic Information Science, Ministry of Education; University of Illinois at Urbana-Champaign, Champaign, IL (United States). Department of Atmospheric Sciences
  2. University of Illinois at Urbana-Champaign, Champaign, IL (United States). Department of Atmospheric Sciences; University of Maryland, College Park, MD (United States). Earth System Science Interdisciplinary Center; University of Maryland, College Park, MD (United States). Department of Atmospheric and Oceanic Science
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory, Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC).
Sponsoring Org.:
USDOE
OSTI Identifier:
1461835
Resource Type:
Journal Article
Journal Name:
Climate Dynamics
Additional Journal Information:
Journal Volume: 49; Journal Issue: 1-2; Journal ID: ISSN 0930-7575
Publisher:
Springer-Verlag
Country of Publication:
United States
Language:
English

Citation Formats

Qiao, Fengxue, and Liang, Xin-Zhong. Effects of cumulus parameterization closures on simulations of summer precipitation over the continental United States. United States: N. p., 2016. Web. doi:10.1007/s00382-016-3338-6.
Qiao, Fengxue, & Liang, Xin-Zhong. Effects of cumulus parameterization closures on simulations of summer precipitation over the continental United States. United States. doi:10.1007/s00382-016-3338-6.
Qiao, Fengxue, and Liang, Xin-Zhong. Wed . "Effects of cumulus parameterization closures on simulations of summer precipitation over the continental United States". United States. doi:10.1007/s00382-016-3338-6.
@article{osti_1461835,
title = {Effects of cumulus parameterization closures on simulations of summer precipitation over the continental United States},
author = {Qiao, Fengxue and Liang, Xin-Zhong},
abstractNote = {This study examines the effects of five cumulus closure assumptions on simulations of summer precipitation in the continental U.S. by utilizing an ensemble cumulus parameterization (ECP) that incorporates multiple alternate closure schemes into a single cloud model formulation. Results demonstrate that closure algorithms significantly affect the summer mean, daily frequency and intensity, and diurnal variation of precipitation, with strong regional dependence. Overall, the vertical velocity (W) closure produces the smallest summer mean biases, while the moisture convergence (MC) closure most realistically reproduces daily variability. Both closures have advantages over others in simulating U.S. daily rainfall frequency distribution, though both slightly overestimate intense rain events. The MC closure is superior at capturing summer rainfall amount, daily variability, and heavy rainfall frequency over the Central U.S., but systematically produces wet biases over the North American Monsoon (NAM) region and Southeast U.S., which can be reduced by using the W closure. The instability tendency (TD) and the total instability adjustment (KF) closures are better at capturing observed diurnal signals over the Central U.S. and the NAM, respectively. The results reasonably explain the systematic behaviors of several major cumulus parameterizations. A preliminary experiment combining two optimal closures (averaged moisture convergence and vertical velocity) in the ECP scheme significantly reduced the wet (dry) biases over the Southeast U.S. in the summer of 1993 (2003), and greatly improved daily rainfall correlations over the NAM. Further improved model simulation skills may be achieved in the future if optimal closures and their appropriate weights can be derived at different time scales based on specific climate regimes.},
doi = {10.1007/s00382-016-3338-6},
journal = {Climate Dynamics},
issn = {0930-7575},
number = 1-2,
volume = 49,
place = {United States},
year = {2016},
month = {9}
}

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