Coupling WRF Double-Moment 6-Class Microphysics Schemes to RRTMG Radiation Scheme in Weather Research Forecasting Model
被引:41
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作者:
Bae, Soo Ya
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Korea Inst Atmospher Predict Syst, 35 Boramae Ro 5 Gil, Seoul 70770, South KoreaKorea Inst Atmospher Predict Syst, 35 Boramae Ro 5 Gil, Seoul 70770, South Korea
Bae, Soo Ya
[1
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Hong, Song-You
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Korea Inst Atmospher Predict Syst, 35 Boramae Ro 5 Gil, Seoul 70770, South KoreaKorea Inst Atmospher Predict Syst, 35 Boramae Ro 5 Gil, Seoul 70770, South Korea
Hong, Song-You
[1
]
Lim, Kyo-Sun Sunny
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机构:
Pacific NW Natl Lab, Atmospher Sci & Global Change Div, Richland, WA 99354 USAKorea Inst Atmospher Predict Syst, 35 Boramae Ro 5 Gil, Seoul 70770, South Korea
Lim, Kyo-Sun Sunny
[2
]
机构:
[1] Korea Inst Atmospher Predict Syst, 35 Boramae Ro 5 Gil, Seoul 70770, South Korea
[2] Pacific NW Natl Lab, Atmospher Sci & Global Change Div, Richland, WA 99354 USA
A method to explicitly calculate the effective radius of hydrometeors in the Weather Research Forecasting (WRF) double-moment 6-class (WDM6) microphysics scheme is designed to tackle the physical inconsistency in cloud properties between the microphysics and radiation processes. At each model time step, the calculated effective radii of hydrometeors from the WDM6 scheme are linked to the Rapid Radiative Transfer Model for GCMs (RRTMG) scheme to consider the cloud effects in radiative flux calculation. This coupling effect of cloud properties between the WDM6 and RRTMG algorithms is examined for a heavy rainfall event in Korea during 25-27 July 2011, and it is compared to the results from the control simulation in which the effective radius is prescribed as a constant value. It is found that the derived radii of hydrometeors in the WDM6 scheme are generally larger than the prescribed values in the RRTMG scheme. Consequently, shortwave fluxes reaching the ground (SWDOWN) are increased over less cloudy regions, showing a better agreement with a satellite image. The overall distribution of the 24-hour accumulated rainfall is not affected but its amount is changed. A spurious rainfall peak over the Yellow Sea is alleviated, whereas the local maximum in the central part of the peninsula is increased.
机构:
Yonsei Univ, Dept Atmospher Sci, Seoul 120749, South Korea
Yonsei Univ, Global Environm Lab, Seoul 120749, South KoreaYonsei Univ, Dept Atmospher Sci, Seoul 120749, South Korea
Hong, Song-You
Lim, Kyo-Sun Sunny
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Yonsei Univ, Dept Atmospher Sci, Seoul 120749, South Korea
Yonsei Univ, Global Environm Lab, Seoul 120749, South KoreaYonsei Univ, Dept Atmospher Sci, Seoul 120749, South Korea
Lim, Kyo-Sun Sunny
Lee, Yong-Hee
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机构:
Korea Meteorol Adm, Natl Inst Meteorol Res, Forecast Res Lab, Seoul 156010, South KoreaYonsei Univ, Dept Atmospher Sci, Seoul 120749, South Korea
Lee, Yong-Hee
Ha, Jong-Chul
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Korea Meteorol Adm, Natl Inst Meteorol Res, Forecast Res Lab, Seoul 156010, South KoreaYonsei Univ, Dept Atmospher Sci, Seoul 120749, South Korea
Ha, Jong-Chul
Kim, Hyung-Woo
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Korea AF, Weather Grp 73, Chungnam 321923, South KoreaYonsei Univ, Dept Atmospher Sci, Seoul 120749, South Korea
Kim, Hyung-Woo
Ham, Sook-Jeong
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Korea AF, Weather Grp 73, Chungnam 321923, South KoreaYonsei Univ, Dept Atmospher Sci, Seoul 120749, South Korea
Ham, Sook-Jeong
Dudhia, Jimy
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机构:
Natl Ctr Atmospher Res, Mesoscale & Microscale Meteorol Div, Boulder, CO 80305 USAYonsei Univ, Dept Atmospher Sci, Seoul 120749, South Korea
机构:
Institute of Urban Meteorology China Meteorological Administration
Beijing Meteorological Service CenterInstitute of Urban Meteorology China Meteorological Administration
Meng ZHANG
Hong WANG
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机构:
State Key Laboratory of Severe Weather/Institute of Atmospheric Composition, Chinese Academy of Meteorological SciencesInstitute of Urban Meteorology China Meteorological Administration
Hong WANG
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机构:
Xiaoye ZHANG
Yue PENG
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State Key Laboratory of Severe Weather/Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences
Key Laboratory for Aerosol–Cloud–Precipitation of China Meteorological Administration,Nanjing University of Information Science &TechnologyInstitute of Urban Meteorology China Meteorological Administration
Yue PENG
Huizheng CHE
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State Key Laboratory of Severe Weather/Institute of Atmospheric Composition, Chinese Academy of Meteorological SciencesInstitute of Urban Meteorology China Meteorological Administration
机构:
China Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China
Beijing Meteorol Serv Ctr, Beijing 100089, Peoples R ChinaChina Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China
Zhang, Meng
Wang, Hong
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机构:
Chinese Acad Meteorol Sci, Inst Atmospher Composit, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaChina Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China
Wang, Hong
Zhang, Xiaoye
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机构:
Chinese Acad Meteorol Sci, Inst Atmospher Composit, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Chinese Acad Sci, Ctr Excellence Reg Atmospher Environm, Inst Urban Environm, Xiamen 361021, Peoples R ChinaChina Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China
Zhang, Xiaoye
Peng, Yue
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机构:
Chinese Acad Meteorol Sci, Inst Atmospher Composit, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Nanjing Univ Informat Sci & Technol, Key Lab Aerosol Cloud Precipitat, China Meteorol Adm, Nanjing 210044, Jiangsu, Peoples R ChinaChina Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China
Peng, Yue
Che, Huizheng
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Chinese Acad Meteorol Sci, Inst Atmospher Composit, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaChina Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China
机构:
Numer Weather Predict Ctr CMA, Beijing 100081, Peoples R China
CMA, Natl Meteorol Ctr, Beijing 100081, Peoples R ChinaNumer Weather Predict Ctr CMA, Beijing 100081, Peoples R China
Li Zhe
Zhang Yu-tao
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Numer Weather Predict Ctr CMA, Beijing 100081, Peoples R China
CMA, Natl Meteorol Ctr, Beijing 100081, Peoples R ChinaNumer Weather Predict Ctr CMA, Beijing 100081, Peoples R China
Zhang Yu-tao
Liu Qi-jun
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Numer Weather Predict Ctr CMA, Beijing 100081, Peoples R China
CMA, Natl Meteorol Ctr, Beijing 100081, Peoples R ChinaNumer Weather Predict Ctr CMA, Beijing 100081, Peoples R China
Liu Qi-jun
Fu Shi-zuo
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机构:
Peking Univ, Dept Atmospher & Ocean Sci, Beijing 100871, Peoples R ChinaNumer Weather Predict Ctr CMA, Beijing 100081, Peoples R China
Fu Shi-zuo
Ma Zhan-shan
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机构:
Numer Weather Predict Ctr CMA, Beijing 100081, Peoples R China
CMA, Natl Meteorol Ctr, Beijing 100081, Peoples R ChinaNumer Weather Predict Ctr CMA, Beijing 100081, Peoples R China