利用WRF3D-Var同化多普勒雷达反演风场试验研究

doi:10.7522/j.isnn.1000-0240.2016.0012

摘要/Abstract

摘要： 为了将C波段雷达风场资料更好地应用于数值预报模式中,利用两步变分法反演多普勒雷达风场资料,并处理成标准的常规探空资料,以WRF模式及其三维变分同化系统为平台,针对2013年6月19日发生在天水的一次强暴雨过程进行同化雷达反演风的试验研究.试验结果表明:同化雷达反演风场后,对降水预报的改进能维持12h,尤其同化雷达反演风场后3~9h效果非常显著;0~3h作用不是很明显;9~12h预报具有一定的正作用.另外,循环同化比同化一次效果好,但并不是同化次数越多越好.因此,同化C波段雷达反演风场后,对降水预报具有一定的正作用.

关键词: 同化, 雷达, 反演风, WRF3D-Var

Abstract: In order to apply the wind data of C-Band Doppler radar to numerical weather prediction model better, a two-step variational method is utilized to retrieve the wind field of Doppler radar, and then the retrieval wind is processed into a normal form of radiosonde observation. The retrieval wind is assimilated by the WRF 3D-Var system and the forecast is implemented by WRF model. A heavy rainfall process occurred in Tianshui on 19 June 2013 is chosen and four experiments were designed to evaluate the performance of the assimilation of radar retrieval wind. The results show that: assimilation of retrieval wind can extend the positive impact on rainfall forecast up to 12 h, especially the improvement is very significant in the 3-9 h after the assimilation and 9-12 h forecast has a positive effect to some extent. However, the 0-3 h accumulation precipitation forecast after the assimilation is not very well when compared with Experiment CTL. In addition, the cycle assimilation is better than only assimilate once but not the more the better. Therefore, assimilation the retrieval wind data from C-Band Doppler radar is very significant in rainfall forecast.

Key words: assimilation, radar, retrieval wind, WRF 3D-Var

中图分类号:

P412.25

杨丽丽, 王莹, 杨毅. 利用WRF3D-Var同化多普勒雷达反演风场试验研究[J]. 冰川冻土, 2016, 38(1): 107-114.

YANG Lili, WANG Ying, YANG Yi. The study of using WRF 3D-Var to assimilate the retrieval wind fields from Doppler radar data[J]. JOURNAL OF GLACIOLOGY AND GEOCRYOLOGY, 2016, 38(1): 107-114.

参考文献

[1] Lhermitte R M, Atlas D. Precipitation motion by pulse Doppler[C]//Proceedings of 9th Weather Radar Conference. Boston, MA: American Meteorology Society, 1961: 218-223.
[2] Browning K A, Wexler R. The determination of kinematic properties of a wind field using Doppler radar[J]. Journal of Applied Meteorology, 1968, 7(1): 105-113.
[3] Waldteufel P, Corbin H. On the analysis of single-Doppler radar data[J]. Journal of Applied Meteorology, 1979, 18(4): 532-542.
[4] Doviak R J, Dusan S Z. Doppler radar and weather observation[M]. California: Academic Press Inc, 1984: 304-311.
[5] Kosciely A J, Doviak R J, Rabin R. Statistical considerations in the estimation of divergence from single-Doppler radar and application to prestorm boundary-lay observation[J]. Journal of Applied Meteorology, 1982, 21(2): 197-210.
[6] Sun J, Flicher D, Lilly D. Recovery of three-dimensional wind and temperature fields from single-Doppler radar data[J]. Atmospheric Science, 1991, 4(8): 876-890.
[7] Qiu C J, Xu Q. A simple adjoint method of wind analysis for single-Doppler data[J]. Journal of Atmospheric and Oceanic Technology, 1992, 9(5): 588-598.
[8] Xu Q, Qiu C J, Yu J X. Adjoint-method retrievals of low-altitude wind fields from single-Doppler reflectivity measured during Phoenix II[J]. Journal of Atmospheric and Oceanic Technology, 1994, 11(2): 275-288.
[9] Xu Q, Qiu C J. Simple adjoint methods for single-Doppler wind analysis with a strong constraint of mass conservation[J]. Journal of Atmospheric and Oceanic Technology, 1994, 11(2): 289-298.
[10] Qiu Chongjian, Xu Qin. An improvement on the simple conjugate method for retrieving the wind fields from single-Doppler data[J]. Journal of Applied Meteorological Science, 1996, 7(4): 421-430.[邱崇践, Xu Qin. 由单Doppler雷达资料反演水平风场的简单共轭函数方法的改进方案[J]. 应用气象学报, 1996, 7(4): 421-430.]
[11] Qiu Chongjian, Shao Aimei, Liu Shun, et al. A two-step variational method for three-dimensional wind retrieval from single Doppler radar[J]. Meteorology and Atmospheric Physics, 2006, 91: 1-8.
[12] Duan Yunxia, Shao Aimei, Yang Yi. Analysis on three-dimension wind fields for a typhoon process using dual-Doppler radar[J]. Plateau Meteorology, 2010, 29(1): 187-196.[段云霞, 邵爱梅, 杨毅. 利用双多普勒雷达资料对一次台风流场结构的分析[J]. 高原气象, 2010, 29(1): 187-196.]
[13] Yang Yi, Qiu Chongjian, Gong Jiandong, et al. Comparison of two methods of assimilating Doppler radar wind data[J]. Plateau Meteorology, 2007, 26(3): 547-555.[杨毅, 邱崇践, 龚建东, 等. 同化多普勒雷达风资料的两种方法比较[J]. 高原气象, 2007, 26(3): 547-555.]
[14] Yang Lili, Yang Yi, Zhang Tinglong, et al. Analyzing a heavy rainfall process based on dual-Doppler radar and lightning data[J]. Plateau Meteorology, 2015, 34(2): 546-555.[杨丽丽, 杨毅, 张廷龙, 等. 基于双多普勒雷达及闪电资料分析一次强降水过程[J]. 高原气象, 2015, 34(2): 546-555.]
[15] Han Wenyu, Yang Lili, Yang Yi. Doppler radar data applied in retrieving and warning for a severe convection process[J]. Arid Meteorology, 2014, 32(5): 810-818.[韩文宇, 杨丽丽, 杨毅. 一次强对流过程的多普勒雷达反演及预警分析[J]. 干旱气象, 2014, 32(5): 810-818.]
[16] Gao Xuejie, Zhao Zongci, Ding Yihui. Climate change due to greenhouse effects in Northwest China as simulated by a regional climate model[J]. Journal of Glaciology and Geocryology, 2003, 25(2): 165-169.[高学杰, 赵宗慈, 丁一汇. 区域气候模式对温室效应引起的中国西北地区气候变化的数值模拟[J]. 冰川冻土, 2003, 25(2): 165-169.]
[17] Shen Yongping, Liang Hong. High precipitation in glacial region of high mountains in high Asia: possible cause[J]. Journal of Glaciology and Geocryology, 2004, 26(6): 806-809.[沈永平, 梁红. 高山冰川区大降水带的成因探讨[J]. 冰川冻土, 2004, 26(6): 806-809.]
[18] Fang Xiaoyu, Li Zhongqin, Wuennemann B, et al. Physical energy-balance and statistical glacier melting models comparison and testing for Shiyi Glacier, Heihe River Basin, Qilian Mountains, China[J]. Journal of Glaciology and Geocryology, 2015, 37(2): 336-350.[方潇雨,李忠勤, Wuennemann B, 等. 冰川物质平衡模式及其对比研究: 以祁连山黑河流域十一冰川研究为例[J]. 冰川冻土, 2015, 37(2): 336-350.]
[19] Xu Ying, Ding Yihui, Zhao Zongci. Scenario of temperature and precipitation changes in Northwest China due to human activity in the 21st century[J]. Journal of Glaciology and Geocryology, 2003, 25(3): 327-330.[徐影, 丁一汇, 赵宗慈. 人类活动引起的我国西北地区21世纪温度和降水变化情景分析[J]. 冰川冻土, 2003, 25(3): 327-330.]
[20] Xu Xiaoyong, Liu Liping, Zheng Guoguang. Numerical experiment of assimilation of Doppler radar data with an ensemble Kalman filter[J]. Chinese Journal of Atmospheric Sciences, 2006, 30(4): 712-728.[许小永, 刘黎平, 郑国光. 集合卡尔曼滤波同化多普勒雷达资料的数值试验[J]. 大气科学, 2006, 30(4): 712-728.]
[21] Min Jinzhong, Peng Xiayun, Lai Anwei, et al. Contrast experiments of Doppler radar radial velocity using retrieval and direct assimilation[J]. Journal of Nanjing Institute of Meteorology, 2008, 30(6): 745-754.[闵锦忠, 彭霞云, 赖安伟, 等. 反演同化和直接同化多普勒雷达径向风的对比试验[J]. 南京气象学院学报, 2008, 30(6): 745-754.]
[22] Yang Yi, Qiu Chongjian, Gong Jiandong. Study on Doppler weather radar data assimilation via 3D-Var[J]. Journal of the Meteorological Sciences, 2008, 28(2): 124-132.[杨毅, 邱崇践, 龚建东, 等. 利用3维变分方法同化多普勒天气雷达资料的试验研究[J]. 气象科学, 2008, 28(2): 124-132.]
[23] Wan Qilin, Xue Jishan, Zhuang Shiyu. Study on the variational assimilation technique for the retrieval of wind fields from Doppler radar data[J]. Journal of Meteorological Research, 2005, 63(2): 129-145.[万齐林, 薛纪善, 庄世宇. 多普勒雷达风场信息变分同化的试验研究[J]. 气象学报, 2005, 63(2): 129-145.]
[24] Xu Zhifang, Xu Yumao, Ge Wenzhong. The impact of using radar and satellite data on meso-scale model numerical simulation[J]. Journal of the Meteorological Sciences, 2002, 22(2): 167-173.[徐枝芳, 徐玉貌, 葛文忠. 雷达和卫星资料在中尺度模式中的初步应用[J]. 气象科学, 2002, 22(2): 167-173.]
[25] Li Huahong, Xue Jishan, Wang Man, et al. The retrieval and variational assimilation experiment on wind profile of Doppler radar[J]. Journal of Applied Meteorological Science, 2007, 18(1): 50-57.[李华宏, 薛纪善, 王曼, 等. 多普勒雷达风廓线的反演及变分同化试验[J]. 应用气象学报, 2007, 18(1): 50-57.]
[26] Fu Desheng, Dai Tiepi. The influence of the rain spectral change on single point precipitation of radar quantitative measuring[J]. Journal of Nanjing Institute of Meteorology, 1985, 8(1): 85-91.[傅德胜, 戴铁丕. 雨滴谱变化对雷达定量测量单点降水精度的影响[J]. 南京气象学院学报, 1985, 8(1): 85-91.]
[27] Liu Yujia, Chen Hongbin, Zhu Junjian. Comparative analysis of S and C-band radar reflectivity data in Shandong Province[J]. Journal of the Meteorological Sciences, 2014, 34(1): 87-95.[刘雨佳, 陈洪滨, 朱君鉴. 山东省S波段与C波段天气雷达回波强度的对比分析[J]. 气象科学, 2014, 34(1): 87-95.]
[28] Xiao Yanjiao, Wan Yufa, Wang Yu, et al. Study of an improved modified C-band radar quantitative precipitation estimation algorithm[J]. Torrential Rain and Disasters, 2011, 30(4): 321-327.[肖艳姣, 万玉发, 王珏, 等. 改进的C波段天气雷达定量降水估计算法研究[J]. 暴雨灾害, 2011, 30(4): 321-327.]
[29] Ge Runsheng, Qin Hongde, Cai Zuojin, et a1. A comparison test of the measuring capacity between 3 centimeters and 5 centimeters radar[M]//Radar meteorological corpus. Beijing: The Central Weather Bureau Research Institute, 1977: 111-125.[葛润生, 秦宏德, 蔡作金, 等. 三、五公分雷达测雨能力的比较试验[M]//雷达气象文集. 北京: 中央气象局研究所, 1977: 111-125.]
[30] Duan Yunxia. Doppler radar data was utilized to analyze and simulate the 3D wind structure of typhoon Bilis[D]. Lanzhou: Lanzhou University, 2009.[段云霞. 将多普勒雷达资料用于台风碧利斯的结构分析和模拟研究[D]. 兰州: 兰州大学, 2009.]
[31] Barnes S L. A Technique for maximizing details in numerical weather map analysis[J]. Journal of Applied Meteorology, 1964, 3(4): 396-409.