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Mesoscale meteorological modelling for Hong Kong-application of the MC2 model 被引量:2
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作者 LeunDYC NiewM 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2002年第2期156-164,共9页
This paper describes the set up and application of a non hydrostatic Canadian meteorological numerical model (MC2) for mesoscale simulations of wind field and other meteorological parameters over the complex terrain... This paper describes the set up and application of a non hydrostatic Canadian meteorological numerical model (MC2) for mesoscale simulations of wind field and other meteorological parameters over the complex terrain of Hong Kong. Results of the simulations of one case are presented and compared with the results of radiosonde and aircraft measurements. The model is proved capable of predicting high resolution, three dimensional fields of wind and other meteorological parameters within the Hong Kong territory, using reasonable computer time and memory resources. 展开更多
关键词 mesoscale meteorological modelling mc2 model Hong Kong
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陆气耦合模型在实时暴雨洪水预报中的应用 被引量:35
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作者 陆桂华 吴志勇 +1 位作者 雷Wen 张建云 《水科学进展》 EI CAS CSCD 北大核心 2006年第6期847-852,共6页
采用加拿大区域性中尺度大气模式MC2(Canadian Mesoscale Compressible Community)和新安江模型单向耦合模型系统,对2005年7月4~15日发生在淮河流域的一场暴雨洪水,进行了实时预报。采用王家坝以上流域的实测降水和王家坝断面的实... 采用加拿大区域性中尺度大气模式MC2(Canadian Mesoscale Compressible Community)和新安江模型单向耦合模型系统,对2005年7月4~15日发生在淮河流域的一场暴雨洪水,进行了实时预报。采用王家坝以上流域的实测降水和王家坝断面的实测洪水资料,对MC2预报降水的时空分布和陆气耦合模型预报的洪水过程进行了分析。结果表明,MC2对该场强降水过程具有很好的预报能力,陆气耦合模型有效地增长了洪水预报的预见期,具有很好的应用前景。 展开更多
关键词 陆气耦合 洪水预报 mc2模式 淮河
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Real-time flood forecast and flood alert map over the Huaihe River Basin in China using a coupled hydro-meteorological modeling system 被引量:7
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作者 LIN Charles A. 《Science China(Technological Sciences)》 SCIE EI CAS 2008年第7期1049-1063,共15页
A coupled hydro-meteorological modeling system is established for real-time flood forecast and flood alert over the Huaihe River Basin in China. The system consists of the mesoscale atmospheric model MC2 (Canadian Mes... A coupled hydro-meteorological modeling system is established for real-time flood forecast and flood alert over the Huaihe River Basin in China. The system consists of the mesoscale atmospheric model MC2 (Canadian Mesoscale Compressible Community) that is one-way coupled to the Chinese Xinanjiang distributed hydrological model, a grid-based flow routing model, and a module for acquiring real-time gauge precipitation. The system had been successfully tested in a hindcast mode using 1998 and 2003 flood cases in the basin, and has been running daily in a real-time mode for the summers of 2005 and 2006 over the Wangjiaba sub-basin of the Huaihe River Basin. The MC2 precipitation combined with gauge values is used to drive the Xinanjiang model for hydrograph prediction and production of flood alert map. The performance of the system is illustrated through an examination of real-time flood forecasts for the severe flood case of July 4―15, 2005 over the sub-basin, which was the first and largest flood event encountered to date. The 96-h forecasts of MC2 precipitation are first evaluated using observations from 41 rain gauges over the sub-basin. The forecast hydrograph is then validated with observations at the Wangjiaba outlet of the sub-basin. MC2 precipitation generally compares well with gauge values. The flood peak was predicted well in both timing and intensity in the 96-hour forecast using the combined gauge-MC2 precipitation. The real-time flood alert map can spatially display the propagation of forecast floods over the sub-basin. Our forecast hydrograph was used as opera-tional guidance by the Bureau of Hydrograph, Ministry of Water Resources. Such guidance has been proven very useful for the Office of State Flood Control and Drought Relief Headquarters in operational decision making for flood management. The encouraging results demonstrate the potential of using mesoscale atmospheric model precipitation for real-time flood forecast, which can result in a longer lead time compared to traditional methods. 展开更多
关键词 COUPLED hydro-meteorological modeling system FLOOD forecast FLOOD ALERT MAP mc2
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