TY - JOUR
T1 - Improving representation of convective transport for scale-aware parameterization
T2 - 1. Convection and cloud properties simulated with spectral bin and bulk microphysics
AU - Fan, Jiwen
AU - Liu, Yi Chin
AU - Xu, Kuan Man
AU - North, Kirk
AU - Collis, Scott
AU - Dong, Xiquan
AU - Zhang, Guang J.
AU - Chen, Qian
AU - Kollias, Pavlos
AU - Ghan, Steven J.
N1 - Funding Information:
Support for this work was provided through Scientific Discovery through Advanced Computing (SciDAC) program funded by U.S. Department of Energy Office of Advanced Scientific Computing Research and Office of Biological and Environmental Research. The Pacific Northwest National Laboratory (PNNL) is operated for the DOE by Battelle Memorial Institute under contract DE-AC06-76RLO 1830. Argonne National Laboratory’s (ANL) work was supported by the Department of Energy, Office of Science, Office of Biological and Environmental Research (BER), under contract DE-AC02-06CH11357 as part of the ARM Program. Kuan-Man Xu was supported by NASA Modeling, Analysis and Prediction program. Xiquan Dong was supported by DOE ASR project with award number DE-SC0008468 at University of North Dakota. The modeling data can be obtained by contacting Jiwen Fan (Jiwen.Fan@pnnl.gov). NARR reanalysis data were from the NOAA/OAR/ESRL Colorado, at the website http://www.esrl.noaa.gov/ psd/. NCEP FNL Operational Model Global Tropospheric Analyses were obtained by National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce (2000), http://dx.doi.org/ 10.5065/D6M043C6. CPOL radar data and derived products were provided by Peter May at the Centre for Australian Weather and Climate Research and the Australian Bureau of Meteorology; 3-D multi-Doppler wind field from the MC3E were provided by Kirk North at McGill University, Canada; 3-D dual-Doppler wind field from the TWP-ICE were developed by Scott Collis at Argonne National Laboratory. Aircraft measurement and NEXRAD radar were provide by Xiquan Dong at University of North Dakota; ABRFC precipitation data were download from ARM Data Archive, http://www.archive.arm.gov/ armlogin/login.jsp.
Publisher Copyright:
© 2015. American Geophysical Union. All Rights Reserved.
PY - 2015
Y1 - 2015
N2 - The ultimate goal of this study is to improve the representation of convective transport by cumulus parameterization for mesoscale and climate models. As Part 1 of the study, we perform extensive evaluations of cloud-resolving simulations of a squall line and mesoscale convective complexes in midlatitude continent and tropical regions using the Weather Research and Forecasting model with spectral bin microphysics (SBM) and with two double-moment bulk microphysics schemes: a modified Morrison (MOR) and Milbrandt and Yau (MY2). Compared to observations, in general, SBM gives better simulations of precipitation and vertical velocity of convective cores than MOR and MY2 and therefore will be used for analysis of scale dependence of eddy transport in Part 2. The common features of the simulations for all convective systems are (1) themodel tends to overestimate convection intensity in the middle and upper troposphere, but SBM can alleviate much of the overestimation and reproduce the observed convection intensity well; (2) the model greatly overestimates Ze in convective cores, especially for the weak updraft velocity; and (3) the model performs better for midlatitude convective systems than the tropical system. The modeled mass fluxes of the midlatitude systems are not sensitive to microphysics schemes but are very sensitive for the tropical case indicating strong microphysics modification to convection. Cloud microphysical measurements of rain, snow, and graupel in convective cores will be critically important to further elucidate issues within cloud microphysics schemes.
AB - The ultimate goal of this study is to improve the representation of convective transport by cumulus parameterization for mesoscale and climate models. As Part 1 of the study, we perform extensive evaluations of cloud-resolving simulations of a squall line and mesoscale convective complexes in midlatitude continent and tropical regions using the Weather Research and Forecasting model with spectral bin microphysics (SBM) and with two double-moment bulk microphysics schemes: a modified Morrison (MOR) and Milbrandt and Yau (MY2). Compared to observations, in general, SBM gives better simulations of precipitation and vertical velocity of convective cores than MOR and MY2 and therefore will be used for analysis of scale dependence of eddy transport in Part 2. The common features of the simulations for all convective systems are (1) themodel tends to overestimate convection intensity in the middle and upper troposphere, but SBM can alleviate much of the overestimation and reproduce the observed convection intensity well; (2) the model greatly overestimates Ze in convective cores, especially for the weak updraft velocity; and (3) the model performs better for midlatitude convective systems than the tropical system. The modeled mass fluxes of the midlatitude systems are not sensitive to microphysics schemes but are very sensitive for the tropical case indicating strong microphysics modification to convection. Cloud microphysical measurements of rain, snow, and graupel in convective cores will be critically important to further elucidate issues within cloud microphysics schemes.
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U2 - 10.1002/2014JD022142
DO - 10.1002/2014JD022142
M3 - Article
AN - SCOPUS:84929707929
VL - 120
SP - 3485
EP - 3509
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
SN - 2169-897X
IS - 8
ER -