CAMS复杂云微物理方案与GRAPES模式耦合的数值试验

孙晶; 楼小凤; 胡志晋; 沈学顺

CAMS复杂云微物理方案与GRAPES模式耦合的数值试验

1.
中国气象科学研究院中国气象局人工影响天气中心中国气象局云雾物理重点开放实验室, 北京 100081
2.
中国气象科学研究院灾害天气国家重点实验室, 北京 100081

资助项目:

国家自然科学基金项目 40305001

国家重点基础研究发展规划项目 2004CB418306

“十一五”国家科技支撑项目 2006BAC12B01

社会公益研究专项 2004DIB3J116

中国气象科学研究院基本科研业务研究专项 2007Y003

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出版历程
- 收稿日期: 2007-06-07
- 修回日期: 2008-01-21
- 刊出日期: 2008-06-30

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

摘要

摘要: CAMS复杂云微物理方案是混合相双参数方案, 包括11个云物理变量和31个云物理过程, 能够同时预报水成物的比质量和数浓度。通过在GRAPES非静力中尺度模式中增加预报量并修改相关程序后, 实现了二者的耦合, 耦合后模式运行稳定。选取2005年8月15—17日我国华北地区一次暴雨过程, 利用耦合后的模式进行48 h模拟试验, 同时还选取了GRAPES模式中其他3个比较复杂的微物理方案进行模拟, 着重分析了降水和水成物分布的模拟结果。研究结果表明: CAMS方案能够模拟出与实测相接近的雨带分布特征, 并且对降水演变的模拟结果与其他方案比较一致, 对暴雨中心位置的模拟有待改进。CAMS方案模拟的水成物垂直分布与其他方案相比具有相似的总体特征, 各相态粒子的量级和分布合理, 不同方案的结果在量值上有所差别。个例分析结果显示出CAMS方案对降水和水成物的分布能够合理描述。今后应通过更多个例进行更为精细的模拟试验, 对新方案进行检验。
- 微物理方案;
- GRAPES模式;
- 水成物
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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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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