Sensitivity of CONUS Summer Rainfall to the Selection of Cumulus Parameterization Schemes in NU-WRF Seasonal Simulations

AbstractThis study investigates the sensitivity of daily rainfall rates in regional seasonal simulations over the contiguous United States (CONUS) to different cumulus parameterization schemes. Daily rainfall fields were simulated at 24-km resolution using the NASA-Unified Weather Research and Forecasting (NU-WRF) Model for June–August 2000. Four cumulus parameterization schemes and two options for shallow cumulus components in a specific scheme were tested. The spread in the domain-mean rainfall rates across the parameterization schemes was generally consistent between the entire CONUS and most subregions. The selection of the shallow cumulus component in a specific scheme had more impact than that of the four cumulus parameterization schemes. Regional variability in the performance of each scheme was assessed by calculating optimally weighted ensembles that minimize full root-mean-square errors against reference datasets. The spatial pattern of the seasonally averaged rainfall was insensitive to the sel...

[1]  Xin‐Zhong Liang,et al.  Effects of cumulus parameterization closures on simulations of summer precipitation over the United States coastal oceans , 2016 .

[2]  Xin‐Zhong Liang,et al.  Effects of cumulus parameterizations on predictions of summer flood in the Central United States , 2015, Climate Dynamics.

[3]  William Lau,et al.  Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales , 2015, Environ. Model. Softw..

[4]  Rolf H. Reichle,et al.  Observation-Corrected Precipitation Estimates in GEOS-5 , 2014 .

[5]  S. Freitas,et al.  A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling , 2013 .

[6]  Max J. Suarez,et al.  A Solar Radiation Parameterization for Atmospheric Studies , 2013 .

[7]  Andrea Molod,et al.  The GEOS-5 Atmospheric General Circulation Model: Mean Climate and Development from MERRA to Fortuna , 2012 .

[8]  J. Dudhia,et al.  High-Resolution Simulations of Wintertime Precipitation in the Colorado Headwaters Region: Sensitivity to Physics Parameterizations , 2011 .

[9]  H. Pan,et al.  Revision of Convection and Vertical Diffusion Schemes in the NCEP Global Forecast System , 2011 .

[10]  Roger A. Pielke,et al.  Ten‐year climatology of summertime diurnal rainfall rate over the conterminous U.S. , 2010 .

[11]  Richard G. Jones,et al.  A Regional Climate Change Assessment Program for North America , 2009 .

[12]  C. Bretherton,et al.  A New Moist Turbulence Parameterization in the Community Atmosphere Model , 2009 .

[13]  C. Daly,et al.  Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States , 2008 .

[14]  G. Grell,et al.  Regional Climate Model Simulation of U.S.–Mexico Summer Precipitation Using the Optimal Ensemble of Two Cumulus Parameterizations , 2007 .

[15]  P. Xie,et al.  A Gauge-Based Analysis of Daily Precipitation over East Asia , 2007 .

[16]  William S. Olson,et al.  Improving Simulations of Convective Systems from TRMM LBA: Easterly and Westerly Regimes , 2007 .

[17]  Sujay V. Kumar,et al.  Land information system: An interoperable framework for high resolution land surface modeling , 2006, Environ. Model. Softw..

[18]  Kenneth E. Kunkel,et al.  Regional climate model simulation of summer precipitation diurnal cycle over the United States , 2004 .

[19]  Georgiy L. Stenchikov,et al.  Spectral nudging to eliminate the effects of domain position and geometry in regional climate model simulations , 2004 .

[20]  A. Arakawa.  The Cumulus Parameterization Problem: Past, Present, and Future , 2004 .

[21]  Christopher S. Bretherton,et al.  A New Parameterization for Shallow Cumulus Convection and Its Application to Marine Subtropical Cloud-Topped Boundary Layers. Part I: Description and 1D Results , 2004 .

[22]  J. D. Tarpley,et al.  Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model , 2003 .

[23]  G. Grell,et al.  A generalized approach to parameterizing convection combining ensemble and data assimilation techniques , 2002 .

[24]  Zong-Liang Yang,et al.  Sensitivity of the Modeled North American Monsoon Regional Climate to Convective Parameterization , 2002 .

[25]  Xin-Zhong Liang,et al.  A Thermal Infrared Radiation Parameterization for Atmospheric Studies , 2001 .

[26]  K. Taylor.  Summarizing multiple aspects of model performance in a single diagram , 2001 .

[27]  J. Dudhia,et al.  Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part II: Preliminary Model Validation , 2001 .

[28]  J. Dudhia,et al.  Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity , 2001 .

[29]  Zavisa Janjic,et al.  Comments on “Development and Evaluation of a Convection Scheme for Use in Climate Models” , 2000 .

[30]  Z. Janjic.  The Step-Mountain Eta Coordinate Model: Further Developments of the Convection, Viscous Sublayer, and Turbulence Closure Schemes , 1994 .

[31]  Zavisa Janjic,et al.  The Step-Mountain Coordinate: Physical Package , 1990 .

[32]  G. Powers,et al.  A Description of the Advanced Research WRF Version 3 , 2008 .

[33]  John S. Kain,et al.  The Kain–Fritsch Convective Parameterization: An Update , 2004 .

[34]  Alexander Khain,et al.  Microphysics, Radiation and Surface Processes in the Goddard Cumulus Ensemble (GCE) Model , 2003 .

[35]  Zaviša I. Janić.  Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model , 2001 .