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Title: Diagnosing added value of convection-permitting regional models using precipitation event identification and tracking

Abstract

Dynamical downscaling with high-resolution regional climate models may offer the possibility of realistically reproducing precipitation and weather events in climate simulations. As resolutions fall to order kilometers, the use of explicit rather than parametrized convection may offer even greater fidelity. However, these increased resolutions both allow and require increasingly complex diagnostics for evaluating model fidelity. In this study we focus on precipitation evaluation and analyze five 2-month-long dynamically downscaled model runs over the continental United States that employ different convective and microphysics parameterizations, including one high-resolution convection-permitting simulation. All model runs use the Weather Research and Forecasting Model driven by National Center for Environmental Prediction reanalysis data. We show that employing a novel rainstorm identification and tracking algorithm that allocates essentially all rainfall to individual precipitation events allows new insights into model biases. Results include that, at least in these runs, model wet bias is driven by excessive areal extent of individual precipitating events, and that the effect is time-dependent, producing excessive diurnal cycle amplitude. This amplified cycle is driven not by new production of events but by excessive daytime enlargement of long-lived precipitation events. Here, we further show that in the domain average, precipitation biases appear best represented asmore » additive offsets. Of all model configurations evaluated, convection-permitting simulations most consistently reduced biases in precipitation event characteristics.« less

Authors:
 [1];  [2];  [3];  [2];  [3]
  1. Univ. of Cincinnati, Cincinnati, OH (United States)
  2. Argonne National Lab. (ANL), Lemont, IL (United States)
  3. Univ. of Chicago, Chicago, IL (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1544253
Grant/Contract Number:  
1106862; 1106974; 1107046; 0951576
Resource Type:
Accepted Manuscript
Journal Name:
Climate Dynamics
Additional Journal Information:
Journal Name: Climate Dynamics; Journal ID: ISSN 0930-7575
Publisher:
Springer-Verlag
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Precipitation; Convection permitting simulation; Parameterization; Rainstorm tracking

Citation Formats

Chang, Won, Wang, Jiali, Marohnic, Julian, Kotamarthi, V. Rao, and Moyer, Elisabeth J. Diagnosing added value of convection-permitting regional models using precipitation event identification and tracking. United States: N. p., 2018. Web. doi:10.1007/s00382-018-4294-0.
Chang, Won, Wang, Jiali, Marohnic, Julian, Kotamarthi, V. Rao, & Moyer, Elisabeth J. Diagnosing added value of convection-permitting regional models using precipitation event identification and tracking. United States. doi:10.1007/s00382-018-4294-0.
Chang, Won, Wang, Jiali, Marohnic, Julian, Kotamarthi, V. Rao, and Moyer, Elisabeth J. Wed . "Diagnosing added value of convection-permitting regional models using precipitation event identification and tracking". United States. doi:10.1007/s00382-018-4294-0. https://www.osti.gov/servlets/purl/1544253.
@article{osti_1544253,
title = {Diagnosing added value of convection-permitting regional models using precipitation event identification and tracking},
author = {Chang, Won and Wang, Jiali and Marohnic, Julian and Kotamarthi, V. Rao and Moyer, Elisabeth J.},
abstractNote = {Dynamical downscaling with high-resolution regional climate models may offer the possibility of realistically reproducing precipitation and weather events in climate simulations. As resolutions fall to order kilometers, the use of explicit rather than parametrized convection may offer even greater fidelity. However, these increased resolutions both allow and require increasingly complex diagnostics for evaluating model fidelity. In this study we focus on precipitation evaluation and analyze five 2-month-long dynamically downscaled model runs over the continental United States that employ different convective and microphysics parameterizations, including one high-resolution convection-permitting simulation. All model runs use the Weather Research and Forecasting Model driven by National Center for Environmental Prediction reanalysis data. We show that employing a novel rainstorm identification and tracking algorithm that allocates essentially all rainfall to individual precipitation events allows new insights into model biases. Results include that, at least in these runs, model wet bias is driven by excessive areal extent of individual precipitating events, and that the effect is time-dependent, producing excessive diurnal cycle amplitude. This amplified cycle is driven not by new production of events but by excessive daytime enlargement of long-lived precipitation events. Here, we further show that in the domain average, precipitation biases appear best represented as additive offsets. Of all model configurations evaluated, convection-permitting simulations most consistently reduced biases in precipitation event characteristics.},
doi = {10.1007/s00382-018-4294-0},
journal = {Climate Dynamics},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {7}
}

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    Works referencing / citing this record:

    Added value of high resolution models in simulating global precipitation characteristics: Improvement of precipitation simulation in high resolution models
    journal, December 2016

    • Zhang, Lixia; Wu, Peili; Zhou, Tianjun
    • Atmospheric Science Letters, Vol. 17, Issue 12
    • DOI: 10.1002/asl.715

    The next generation of NWP: explicit forecasts of convection using the weather research and forecasting (WRF) model
    journal, January 2004

    • Done, James; Davis, Christopher A.; Weisman, Morris
    • Atmospheric Science Letters, Vol. 5, Issue 6
    • DOI: 10.1002/asl.72

    Use of the gamma distribution to represent monthly rainfall in Africa for drought monitoring applications
    journal, January 2007

    • Husak, Gregory J.; Michaelsen, Joel; Funk, Chris
    • International Journal of Climatology, Vol. 27, Issue 7
    • DOI: 10.1002/joc.1441

    Reduction of systematic biases in regional climate downscaling through ensemble forcing
    journal, February 2011


    Does increasing the spatial resolution of a regional climate model improve the simulated daily precipitation?
    journal, November 2012

    • Chan, Steven C.; Kendon, Elizabeth J.; Fowler, Hayley J.
    • Climate Dynamics, Vol. 41, Issue 5-6
    • DOI: 10.1007/s00382-012-1568-9

    Added value of convection permitting seasonal simulations
    journal, April 2013


    Performance assessment of three convective parameterization schemes in WRF for downscaling summer rainfall over South Africa
    journal, August 2013


    Sensitivity of WRF to driving data and physics options on a seasonal time-scale for the southwest of Western Australia
    journal, April 2014


    Benefit of convection permitting climate model simulations in the representation of convective precipitation
    journal, August 2014


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    journal, October 2011


    Statistical calibration of climate system properties
    journal, September 2009


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    journal, January 2004

    • Wang, Yuqing; Leung, L. Ruby; McGREGOR, John L.
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