Message Board

Dear readers, authors and reviewers,you can add a message on this page. We will reply to you as soon as possible!

2018 Volume 43 Issue 11
Article Contents

GAO Song, DU Qin, WU Zheng, ZHAO Lei, GAO Yang-hua. Technical Research on Chongqing Numerical Forecast Post-Processing System[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(11): 125-134. doi: 10.13718/j.cnki.xsxb.2018.11.020
Citation: GAO Song, DU Qin, WU Zheng, ZHAO Lei, GAO Yang-hua. Technical Research on Chongqing Numerical Forecast Post-Processing System[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(11): 125-134. doi: 10.13718/j.cnki.xsxb.2018.11.020

Technical Research on Chongqing Numerical Forecast Post-Processing System

More Information
  • Received Date: 14/04/2018
  • Chongqing Storm Scale Rapid Assimilation Forecast System (CQSSRAFS) is a numerical forecast system, based on ARPS and WRF. Firstly, the numerical system was briefly introduced, then we elaborated the construction of the subsequent post-processing module and relevant technical methods. Taking two regional rainstorms in 2014 for example, three kinds of post-processing module wrfpost (based on NCL), arpsplot (based on ARPS) and wrf2micaps werepresented. Meanwhile, we illustrated the numerical prediction products generated from mesoscale forecast and rapid assimilation forecast sufficiently. Also, the micaps format products were shown. In the mesoscale forecast, especially precipitation, temperature and humidity field, wind field and T-lnPfigure have good guidance significance for short-range forecast. It has good reference value for the forecast products such as precipitation, radar reflectivity, wind shear and severe convection index generated from the rapid assimilation forecast. Moreover, the micaps format products generated from wrf2micaps post-processing module is convenient for forecaster, and also provides basis for model evaluation and the development of other products. The construction of three numerical prediction post-processing modules provides a strong guarantee for the operation of Chongqing numerical forecast. In the later stage, more optimization tests should be carried out to improve the operation efficiency and enrich the forecast products.
  • 加载中
  • [1] 章国材.美国WRF模式的进展和应用前景[J].气象, 2004, 30(12):27-31.

    Google Scholar

    [2] BUKOVSKY M S,KAROLYD J.Precipitation Simulations Using WRF as a Nested Regional Climate Model[J].Journal of Applied Meteorology and Climatology,2009,48(10):2152-2159.

    Google Scholar

    [3] FLESCH T K,REUTER G W. WRF Model Simulation of Two Alberta Flooding Events and the Impact of Topography[J]. Journal of Hydrometeorology,2012,13(2):695-708.

    Google Scholar

    [4] KONG F Y, DROEGEMEIER K K,HICKMON N L. Multiresolution Ensemble Forecasts of an Observed Tornadic Thunderstorm System.Part II:Storm-Scale Experiments[J].Monthly Weather Review,2007,135(3):759-782.

    Google Scholar

    [5] DEL GENIO A D,WU J B, CHEN Y H,et al. Characteristics of Mesoscale Organization in WRF Simulations of Convection during TWP-ICE[J].Journal of Climate,2012,25(17):5666-5688.

    Google Scholar

    [6] DEPPE A J,GALLUS W A J,TAKLE E S. A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height[J]. Weather and Forecasting,2013,28(1):212-228.

    Google Scholar

    [7] ROGERS R E,DENG A J,STAUFFER D R. Application of the Weather Research and Forecasting Model for Air Quality Modeling in the San Francisco Bay Area[J]. Journal of Applied Meteorology and Climatology,2013,52(9):1953-1973.

    Google Scholar

    [8] 高松.一次南方暴雨过程的中尺度对流系统发展演变机制研究[D].南京:南京信息工程大学, 2012.

    Google Scholar

    [9] 刘毅, 廖芷仪, 张亚萍, 等.重庆地区"5.30"暴雨过程的数值模拟和诊断分析[J]. 西南师范大学学报(自然科学版), 2017, 42(9):32-39.

    Google Scholar

    [10] 陈贵川, 吴钲, 谌芸, 等. 中低层增温对强降水中涡旋形成的敏感性研究[J].高原气象, 2016, 35(6):1498-1511.

    Google Scholar

    [11] 张旭煜, 朱克云, 李哲, 等.特殊地形下对WRF模式积云参数化的研究应用[J]. 西南师范大学学报(自然科学版), 2015, 40(1):86-95.

    Google Scholar

    [12] 青吉铭, 何军, 李强.一次致洪大暴雨对长江两个子流域的影响分析[J].西南师范大学学报(自然科学版), 2014, 39(1):105-113.

    Google Scholar

    [13] 郭渠, 李瑞, 孙佳, 等.重庆市主城区设计暴雨量推算探讨[J].西南大学学报(自然科学版), 2017, 39(5):170-177.

    Google Scholar

    [14] 王晓峰, 王平, 张蕾, 等. 上海"7·31"局地强对流快速更新同化数值模拟研究[J].高原气象, 2015, 34(1):124-136.

    Google Scholar

    [15] 段旭, 王曼, 陈新梅, 等.中尺度WRF数值模式系统本地化业务试验[J]. 气象, 2011, 37(1):39-47.

    Google Scholar

    [16] 袁卫花, 赵玉娟, 孟冬梅, 等.天津市中尺度数值预报业务系统的设计与实现[J]. 气象科技, 2011, 39(6):828-833.

    Google Scholar

    [17] 范水勇, 郭永润, 陈敏, 等.高分辨率WRF三维变分同化在北京地区降水预报中的应用[J].高原气象, 2008, 27(6):1181-1188.

    Google Scholar

    [18] 张利红, 吕爽, 何光碧.西南区域中心数值预报系统WRF_RUC简介及业务流程优化[J].高原山地气象研究, 2012, 32(4):31-34.

    Google Scholar

    [19] JANKOV I,GRASSO L D,SENGUPTA M,et al.An evaluation of Five ARW-WRF Microphysics Schemes using synthetic GOES imagery for an atmospheric river event affecting the California Coast[J].Journal of Hydrometeorology,2011,12(4):618-633.

    Google Scholar

    [20] LYNN B, YAIR Y.Prediction of Lightning Flash Density with the WRF Model[J].Advances in Geosciences,2010,23:11-16.

    Google Scholar

  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(754) PDF downloads(81) Cited by(0)

Access History

Technical Research on Chongqing Numerical Forecast Post-Processing System

Abstract: Chongqing Storm Scale Rapid Assimilation Forecast System (CQSSRAFS) is a numerical forecast system, based on ARPS and WRF. Firstly, the numerical system was briefly introduced, then we elaborated the construction of the subsequent post-processing module and relevant technical methods. Taking two regional rainstorms in 2014 for example, three kinds of post-processing module wrfpost (based on NCL), arpsplot (based on ARPS) and wrf2micaps werepresented. Meanwhile, we illustrated the numerical prediction products generated from mesoscale forecast and rapid assimilation forecast sufficiently. Also, the micaps format products were shown. In the mesoscale forecast, especially precipitation, temperature and humidity field, wind field and T-lnPfigure have good guidance significance for short-range forecast. It has good reference value for the forecast products such as precipitation, radar reflectivity, wind shear and severe convection index generated from the rapid assimilation forecast. Moreover, the micaps format products generated from wrf2micaps post-processing module is convenient for forecaster, and also provides basis for model evaluation and the development of other products. The construction of three numerical prediction post-processing modules provides a strong guarantee for the operation of Chongqing numerical forecast. In the later stage, more optimization tests should be carried out to improve the operation efficiency and enrich the forecast products.

Reference (20)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return