Numerical Experiment of the Coupling of CAMS Complex Microphysical Scheme and GRAPES Model

Sun Jing; Lou Xiaofeng; Hu Zhijin; Shen Xueshun

Vol.19, NO.3, 2008

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2008 > 19(3): 315-325

Sun Jing, Lou Xiaofeng, Hu Zhijin, et al. Numerical experiment of the coupling of CAMS complex microphysical scheme and GRAPES model. J Appl Meteor Sci, 2008, 19(3): 315-325.

Citation:

Sun Jing, Lou Xiaofeng, Hu Zhijin, et al. Numerical experiment of the coupling of CAMS complex microphysical scheme and GRAPES model. J Appl Meteor Sci, 2008, 19(3): 315-325.

Sun Jing, Lou Xiaofeng, Hu Zhijin, et al. Numerical experiment of the coupling of CAMS complex microphysical scheme and GRAPES model. J Appl Meteor Sci, 2008, 19(3): 315-325.

Citation:

Sun Jing, Lou Xiaofeng, Hu Zhijin, et al. Numerical experiment of the coupling of CAMS complex microphysical scheme and GRAPES model. J Appl Meteor Sci, 2008, 19(3): 315-325.

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Numerical Experiment of the Coupling of CAMS Complex Microphysical Scheme and GRAPES Model

1.
Chinese Academy of Meteorological Sciences, Weather Modification Center of China Meteorological Administration, Key Laboratory for Cloud Physics and Weather Modification of China Meteorological Administration, Beijing 100081
2.
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081

Received Date: 2007-06-07
Rev Recd Date: 2008-01-21
Publish Date: 2008-06-30

Abstract

Abstract

The schemes describing the moist physical process in the meso-scale model include the microphysical scheme and the cumulus parameterization scheme. The rainfall calculated in cumulus parameterization scheme is in subgrid scale and the rainfall calculated in the microphysical scheme calculates is in grid scale. With the improvement of the model resolution, the microphysical scheme has become more and more important in the meso-scale model. More detailed microphysical processes are described in the mixed-phase microphysical scheme, so that it can be used in many researches such as microphysical mechanism of precipitation, the interaction between cloud and radiation, lighting activity of cloud and so on. Therefore, it is very necessary and significant to study and improve the mixed-phase scheme of the meso-scale model. GRAPES (short form of Global/Regional Assimilation and PrEdiction System) is the new generation numerical model system in China. In order to improve the physical processes in GRAPES model, CAMS (Chinese Academy of Meteorological Sciences) complex microphysical scheme is coupled with the meso-scale regional GRAPES system.CAMS complex microphysical scheme is a double-moment mixed-phase scheme. There are 5 kinds of hydrometeors in this scheme which are cloud water, rain water, ice, snow and graupel. The scheme includes 11 prognostic cloud variables. They are the mass content (Q_v, Q_c, Q_r, Q_i, Q_s, Q_g) and number concentration (N_r, N_i, N_s, N_g) and the extent of cloud droplet spectrum. There are 31 microphysical processes in the scheme. Not only the mass content can be predicted but also number concentration of hydrometeors. In this study, new microphysical variables and a new microphysical option are added into GRAPES. A numerical experiment is conducted using the new model. The case simulated is a heavy rainfall happening in North China during August 15—17, 2005. The model is integrated for 48 h with 60 s time step. Three other microphysical schemes are selected to simulate the same case to make a comparison.They are Thompson scheme, WSM6 scheme and NCEPcloud5 scheme. The simulated results of distribution of rainfall and hydrometeors are analyzed. Results are shown as follows. The distribution of rain band simulated by CAMS is similar to the observation and the development of rain band simulated by CAMS is consistent with those of other three microphysical schemes.The center of heavy rainfall simulated needs to be improved.The comparison of the regional average hydrometeors made between CAMS scheme and other three microphysical schemes shows the similar general characteristics. CAMS scheme is able to simulate the hydrometeors in reasonable distribution and value. Due to the different microphysical process in different scheme, the values of hydrometeors of four microphysical schemes are different. Results reveal the good capacity of CAMS scheme in describing cloud and precipitation processes in GRAPES model. The new scheme should be tested through numerical experiments and fine model design in the future.
- microphysical scheme;
- GRAPES model;
- hydrometeor

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References(15)

Figures and Tables

图 1 2005年8月16—17日降水实况 (单位: mm)

(a)16日02:00—08:00, (b)16日08:00—14:00, (c)16日14:00—20:00, (d)16日20:00—17日02:00, (e)17日02:00—08:00, (f)17日08:00—14:00, (g)17日14:00—20:00, (h)16日08:00—17日08:00

Fig. 1 Observed rainfall during August 16—17, 2005 (unit:mm)(a)02:00—08:00 on Aug 16, (b)08:00—14:00 on Aug 16, (c)14:00—20:00 on Aug 16, (d)20:00 on Aug 16—02:00 on Aug 17, (e)02:00—08:00 on Aug 17, (f)08:00—14:00 on Aug 17, (g)14:00—20:00 on Aug 17, (h)08:00 on Aug 16—08:00 on Aug 17

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图 2 2005年8月16—17日模拟降水分布 (单位: mm)

(a)16日02:00—08:00, (b)16日08:00—14:00, (c)16日14:00—20:00, (d)16日20:00—17日02:00, (e)17日02:00—08:00, (f)17日08:00—14:00, (g)17日14:00—20:00, (h)16日08:00—17日08:00

Fig. 2 Simulated rainfall during August 16—17, 2005 (unit:mm)(a)02:00—08:00 on Aug 16, (b)08:00—14:00 on Aug 16, (c)14:00—20:00 on Aug 16, (d)20:00 on Aug 16—02:00 on Aug 17, (e)02:00—08:00 on Aug 17, (f)08:00—14:00 on Aug 17, (g)14:00—20:00 on Aug 17, (h)08:00 on Aug 16—08: 00 on Aug 17

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图 3 2005年8月16日08:00-17日08:00模拟总降水量（单位:mm）

Fig. 3 Simulated rainfall from 08:00 on Aug 16 to 08:00 on Aug 17, 2005(unit:mm)

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图 4 2005年8月16日08:00-17日08:00模拟的显示方案降水（a, c, e, g) 和对流参数化降水（b, d, f, h)（单位:mm）

Fig. 4 Simulated grid scale rainfall (a, c, e, g) and subgrid scale rainfall (b, d, f, h) from 08:00 on Aug 16 to 08:00 on Aug 17, 2005(unit:mm)

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图 5 不同试验32°~35°N, 106°~115°E区域平均 (a~c) 和35°~42°N, 115°~123°E区域平均 (d~f) 降水率随时间演变

Fig. 5 The simulated precipitation rate of four tests averaged in (32°—35°N, 106°—115°E) (a—c) and (35°—42°N, 115°—123°E)(d—f)

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图 6 不同试验32°~35°N, 106°~115°E区域平均 (a) 和35°~42°N, 115°~123°E区域平均 (b) 水成物程长随时间演变

Fig. 6 The simulated hourly hydrometeor water path of four tests averaged in 32°—35°N, 106°—115°E (a) and 35°—42°N, 115°—123°E (b)

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图 7 不同试验48 h内32°~35°N, 106°~115°E区域平均的水成物比质量48 h平均垂直分布

Fig. 7 The vertical distribution of mass content of four tests averaged in 32°—35°N, 106°—115°E in 48 h

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图 8 exp-C试验的水成物数浓度和云滴谱拓宽度48 h内32°~35°N, 106°~115°E区域平均的垂直分布

(a) 冰晶数浓度和雪数浓度, (b) 雨滴数浓度和霰数浓度, (c) 云滴谱拓宽度

Fig. 8 The vertical distribution of number concentration of exp-C averaged in 32°—35°N, 106°—115°E in 48 h

(a) number concentration of ice and snow, (b) number concentration of rain water and grapel, (c) the broadness of cloud droplet spectrum

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