To understand the improvements of two types of background filed used to weather forecasting assimilate radar observation, WRF model and ADAS are used to forecast the rainstorm that occurred at Jinzhou and Fushun of Liaoning during 15-17 August 2013, and two types of background filed include T639 and NCEP. The Result shows: (1) WRF fails to forecast the rainstorm in Jinzhou area. After assimilating radar observation with ADAS, it has been great improved in forecasting the rainstorm at the area of Jinzhou with both background fields. There is little improvement of forecast rainfall at Fushun after assimilation within 12~24 hours, and the performance of T639 is better than NCEP as background fields. (2) The initial filed of specific humidity is improved greatly after assimilating radar observation, and distinctly at 700 and 850 hPa. Meanwhile, the water substances in initial field are updated by assimilation, and the position have good correspondence with the area of rainstorm. (3) A strong and deep moist area is forecasted at the rainfall region in both assimilation tests. A system of strong warm wet wind jet stream from southwest at low level and cold dry at high level cooperation with the high moist region is the main reason leads to the occurrence of prolonged heavy precipitation ultimately, and a wind convergence in front of the moist region and a strong sinking inflow in the back of the rainfall region also forecasted with two background fields.
LI Deqin
,
DUAN Yunxia
,
ZHOU Xiaoshan
,
CUI Jin
,
YANG Yang
,
QIU Xiaobin
,
HAN Fangqiang
. Numerical Forecasting Study of a Rainstorm at Liaoning by Assimilating Radar Data of Two Kinds of Background Fields[J]. Plateau Meteorology, 2015
, 34(4)
: 1107
-1118
.
DOI: 10.7522/j.issn.1000-0534.2014.00115
[1]李得勤,段云霞,张述文.土壤湿度观测、模拟和估算研究[J].地球科学进展,2012,27(4):424-434.
[2]何邓新,邵爱梅.判断大气要素场相似度的相似面积比方法[J].高原气象,2014,33(3):658-665,doi:10.7522/j.issn.1000-0534.2013.00103.
[3]潘留杰,张宏芳,王楠,等.陕西一次强对流天气过程的中尺度及雷达观测分析[J].高原气象,2013,32(1):278-289,doi:10.7522/j.issn.1000-0534.2013.00027.
[4]王丹,王改利,刘黎平,等.基于雷达回波外推和中尺度模式预报的短时降水对比分析[J].高原气象, 2014, 33(3):811-822,doi:10.7522/j.issn.1000-0534.2013.00038.
[5]王遂缠,胡向军,张新荣,等.雷达资料同化在甘肃局地暴雨天气个例中的应用[J].高原气象,2011,30(3):711-718.
[6]段云霞,李得勤.台风"碧利斯"的雷达反演与改进[J].气象与环境学报,2012,28(5):25-33.
[7]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.
[8]王改利,刘黎平,邱崇践,等.多普勒激光雷达风场反演方法研究[J].大气科学,2010,34(1):143-153.
[9]杨毅,邱崇践,龚建东,等.三维变分和物理初始化方法相结合同化多普勒雷达资料的试验研究[J].气象学报,2008,66(4):479-488.
[10]Li Y,Wang X,Xue M.Assimilation of radar radial velocity data with the WRF ensemble-3DVAR hybrid system for the prediction of hurricane Ike(2008)[J].Mon Wea Rev, 2012,140(11):3507-3524.
[11]徐道生,邵爱梅,邱崇践.SVD-En3DVar方法同化多普勒雷达速度观测资料Ⅰ:模拟资料试验[J].大气科学,2011,35(4):753-766.
[12]徐道生,邵爱梅,邱崇践.SVD-En3DVar方法同化多普勒雷达速度观测资料Ⅱ:实际资料试验[J].大气科学,2011,35(5):818-832.
[13]Carpenter R L,Bassett J G M,Brewster K A,et al.A globally relocatable numerical weather prediction system based on WRF and ADAS[C].Extended abstracts,20th Conference on Weather Analysis and Forecasting and 16th Conf. on Numerical Weather Prediction,Amer Meteor Soc,Seattle,Wash,2004.
[14]Weygandt S S,Shapiro A,Droegemeier K K. Retrieval of initial forecast fields from single-Doppler observations of a supercell thunderstorm. Part I:Single-Doppler velocity retrieval[J].Mon Wea Rev,2002,130(3):433-453.
[15]Weygandt S S,Shapiro A,Droegemeier K K. Retrieval of initial forecast fields from single-Doppler observations of a supercell thunderstorm.Part II:Thermodynamic retrieval and numerical prediction[J].Mon Wea Rev,2002,130(3):454-476.
[16]盛春岩,浦一芬,高守亭.多普勒天气雷达资料同化对暴雨模拟的影响[J].大气科学,2006,30(1):93-104.
[17]盛春岩,薛德强,雷霆,等.雷达资料同化与提高模式水平分辨率对短时预报影响的数值对比试验[J].气象学报,2006,64(3):293-307.
[18]王叶红,赖安伟,赵玉春.降水资料同化在梅雨锋特大暴雨个例模拟中的应用研究[J].气象学报,2012,70(3):402-417.
[19]徐广阔,孙建华,雷霆,等.多普勒天气雷达资料同化对暴雨模拟的影响[J].应用气象学报,2009,20(1):36-46.
[20]Xue M,Wang D,Gao J,et al. The Advanced Regional Prediction System(ARPS),storm-scale numerical weather prediction and data assimilation[J].Meteor Atmos Phys, 2003,82(1):139-170.
[21]Xue M, Droegemeier K K,Wong V.The Advanced Regional Prediction System(ARPS)-A multi-scale nonhydrostatic atmospheric simulation and prediction model.Part I:Model dynamics and verication[J].Meteor Atmos Phys,2000,75(3-4):161-193.
[22]Hu M,Xue M.3DVAR and cloud analysis with WSR-88D level-data for the prediction of the Fort Worth Tornadic thunderstorms.Part II:Impact of radial velocity analysis via 3DVAR[J].Mon Wea Rev,2005,134:675-698.
[23]Srivastava K,Roy B S K,Sen R S,et al.Simulation of high impact convective events over Indian region by ARPS model with assimilation of Doppler weather radar radial velocity and reflectivity[J].Atmosfera,2010,23(1):53-73.
[24]Dawson D T,Xue M.Numerical Forecasts of the 15-16 June 2002 Southern Plains Mesoscale Convective System:Impact of Mesoscale Data and Cloud Analysis[J]. Mon Wea Rev,2006,134(6):1607-1629.
[25]朱定真,沈树勤,李昕.华东地区大范围热带气旋大暴雨的综合分析[J].气象科学,1997,17(3):298-306.
[26]杨小银,宋广宁,付培健."5·10"岷县暴雨灾害天气过程的数值模拟和诊断分析[J].高原气象,2013,32(3):798-805,doi:10.7522/j.issn.1000-0534.2013.00031.