TY - JOUR
T1 - Evaluation of microphysics schemes in tropical cyclones using polarimetric radar observations
T2 - Convective precipitation in an outer rainband
AU - Wu, Dan
AU - Zhang, Fuqing
AU - Chen, Xiaomin
AU - Ryzhkov, Alexander
AU - Zhao, Kun
AU - Kumjian, Matthew R.
AU - Chen, Xingchao
AU - Chan, Pak Wai
N1 - Funding Information:
Acknowledgments. This work was primarily supported by the National Key Research and Development Program of China under Grants 2018YFC1506404, Key Program for International S&T Cooperation Projects of China (Grant 2017YFE0107700 and 2020YFE0201900), the National Natural Science Foundation of China (Grants 41705036, 42025501, 41605033, 41875053, 41775064, 41775065, and 41875080), the Open Research Program of the State Key Laboratory of Severe Weather, the 5th ‘‘333 High-level Personnel Training Project’’ of Jiangsu Province (BRA2019037), the Fundamental Research Funds for the Central Universities, Typhoon Scientific and Technological Innovation Group of Shanghai Meteorological Service, the Research Grants Council of the Hong Kong Special Administrative Region of China Grant City (U11301417), and Scientific Research Program of Shanghai Science and Technology Commission (19dz1200101). The authors acknowledge the Texas Advanced Computing Center (TACC) at the University of Texas at Austin for providing computing and storage resources that have contributed to the research results reported within this paper. We also want to acknowledge Dr. Frank D. Marks for his valuable suggestions to improve this manuscript.
Funding Information:
This work was primarily supported by the National Key Research and Development Program of China under Grants 2018YFC1506404, Key Program for International S&T Cooperation Projects of China (Grant 2017YFE0107700 and 2020YFE0201900), the National Natural Science Foundation of China (Grants 41705036, 42025501, 41605033, 41875053, 41775064, 41775065, and 41875080), the Open Research Program of the State Key Laboratory of Severe Weather, the 5th ''333 High-level Personnel Training Project'' of Jiangsu Province (BRA2019037), the Fundamental Research Funds for the Central Universities, Typhoon Scientific and Technological Innovation Group of Shanghai Meteorological Service, the Research Grants Council of the Hong Kong Special Administrative Region of China Grant City (U11301417), and Scientific Research Program of Shanghai Science and Technology Commission (19dz1200101). The authors acknowledge the Texas Advanced Computing Center (TACC) at the University of Texas at Austin for providing computing and storage resources that have contributed to the research results reported within this paper. We also want to acknowledge Dr. Frank D. Marks for his valuable suggestions to improve this manuscript.
Publisher Copyright:
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PY - 2021
Y1 - 2021
N2 - Cloud microphysics significantly impact tropical cyclone precipitation. A prior polarimetric radar observational study by the authors revealed the ice-phase microphysical processes as the dominant microphysics mechanisms responsible for the heavy precipitation in the outer rainband of Typhoon Nida (2016). To assess the model performance regarding microphysics, three double-moment microphysics schemes (i.e., Thompson, Morrison, and WDM6) are evaluated by performing a set of simulations of the same case. While these simulations capture the outer rainband's general structure, microphysics in the outer rainbands are strikingly different from the observations. This discrepancy is primarily attributed to different microphysics parameterizations in these schemes, rather than the differences in large-scale environments due to cloud-environment interactions. An interesting finding in this study is that the surface rain rate or liquid water content is inversely proportional to the simulated mean raindrop sizes. The mass-weighted raindrop diameters are overestimated in the Morrison and Thompson schemes and underestimated in the WDM6 scheme, while the former two schemes produce lower liquid water content than WDM6. Compared with the observed ice water content based on a new polarimetric radar retrieval method, the ice water content above the environmental 08C level in all simulations is highly underestimated, especially at heights above 12 km MSL where large concentrations of small ice particles are typically prevalent. This finding suggests that the improper treatment of ice-phase processes is potentially an important error source in these microphysics schemes. Another error source identified in the WDM6 scheme is overactive warm-rain processes that produce excessive concentrations of smaller raindrops.
AB - Cloud microphysics significantly impact tropical cyclone precipitation. A prior polarimetric radar observational study by the authors revealed the ice-phase microphysical processes as the dominant microphysics mechanisms responsible for the heavy precipitation in the outer rainband of Typhoon Nida (2016). To assess the model performance regarding microphysics, three double-moment microphysics schemes (i.e., Thompson, Morrison, and WDM6) are evaluated by performing a set of simulations of the same case. While these simulations capture the outer rainband's general structure, microphysics in the outer rainbands are strikingly different from the observations. This discrepancy is primarily attributed to different microphysics parameterizations in these schemes, rather than the differences in large-scale environments due to cloud-environment interactions. An interesting finding in this study is that the surface rain rate or liquid water content is inversely proportional to the simulated mean raindrop sizes. The mass-weighted raindrop diameters are overestimated in the Morrison and Thompson schemes and underestimated in the WDM6 scheme, while the former two schemes produce lower liquid water content than WDM6. Compared with the observed ice water content based on a new polarimetric radar retrieval method, the ice water content above the environmental 08C level in all simulations is highly underestimated, especially at heights above 12 km MSL where large concentrations of small ice particles are typically prevalent. This finding suggests that the improper treatment of ice-phase processes is potentially an important error source in these microphysics schemes. Another error source identified in the WDM6 scheme is overactive warm-rain processes that produce excessive concentrations of smaller raindrops.
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U2 - 10.1175/MWR-D-19-0378.1
DO - 10.1175/MWR-D-19-0378.1
M3 - Article
AN - SCOPUS:85104806499
SN - 0027-0644
VL - 149
SP - 1055
EP - 1068
JO - Monthly Weather Review
JF - Monthly Weather Review
IS - 4
ER -