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基于降尺度方法的入海中尺度对流过程模拟

胡田田 易笑园 吴迪 林毅 朱男男

胡田田, 易笑园, 吴迪, 等. 基于降尺度方法的入海中尺度对流过程模拟. 应用气象学报, 2022, 33(6): 711-723. DOI:  10.11898/1001-7313.20220606..
引用本文: 胡田田, 易笑园, 吴迪, 等. 基于降尺度方法的入海中尺度对流过程模拟. 应用气象学报, 2022, 33(6): 711-723. DOI:  10.11898/1001-7313.20220606.
Hu Tiantian, Yi Xiaoyuan, Wu Di, et al. Simulation of mesoscale convection process into sea based on downscaling method. J Appl Meteor Sci, 2022, 33(6): 711-723. DOI:  10.11898/1001-7313.20220606.
Citation: Hu Tiantian, Yi Xiaoyuan, Wu Di, et al. Simulation of mesoscale convection process into sea based on downscaling method. J Appl Meteor Sci, 2022, 33(6): 711-723. DOI:  10.11898/1001-7313.20220606.

基于降尺度方法的入海中尺度对流过程模拟

DOI: 10.11898/1001-7313.20220606
资助项目: 

国家重点研发计划 2020YFB1600103

国家自然科学基金项目 41575049

国家自然科学基金项目 42005004

中国气象局预报员专项 CMAYBY2019-009

详细信息
    通信作者:

    吴迪, 邮箱:d_wu@cauc.edu.cn

Simulation of Mesoscale Convection Process into Sea Based on Downscaling Method

  • 摘要: 利用海-气-浪耦合模式和动力降尺度方法模拟并分析了2018年5月12日和7月13日两次东移进入渤海湾的中尺度对流过程,分别为入海减弱型和入海增强型。两次过程均发生在低空西南气流强盛,且地面处于暖舌控制的环境下,具有较好的水汽和能量条件。结果表明:海-气-浪耦合模式能较好地模拟减弱型过程的变化趋势,而对增强型过程的模拟效果较差,且模拟的两次过程对流强度整体偏弱;但经动力降尺度模拟后,两次过程的模拟效果均明显提升。敏感性试验对比表明:采用海-气-浪耦合模式结果为动力降尺度提供初边界条件具有一定优势,适用于入海中尺度对流过程模拟;两次过程对流系统入海前对流有效位能条件均较好,但垂直风切变条件增强型过程优于减弱型过程;对流系统入海后的冷池效应在减弱型过程中明显,而在增强型过程中强度较弱但范围较大;海洋下垫面为对流发展提供的热量和水汽输送在减弱型过程中较少,在增强型过程中明显。
  • 图  1  模拟区域

    Fig. 1  Simulation domain

    图  2  2018年5月12日和7月13日塘沽和沧州雷达组合反射率因子拼图

    Fig. 2  Composite reflectivity factor of Tanggu and Cangzhou radars on 12 May and 13 Jul in 2018

    图  3  2018年5月12日和7月13日500 hPa高度场(蓝色等值线, 单位: dagpm)、温度场(红色等值线, 单位: ℃)和风场(风羽), 925 hPa水汽通量(填色)、高度场(蓝色等值线, 单位: dagpm)、温度场(红色等值线, 单位: ℃)和风场(风羽),海平面气压(灰色实线, 单位: hPa)、2 m温度(填色)和10 m风场(风羽)

    Fig. 3  500 hPa height(the blue isoline, unit: dagpm), temperature(the red isoline, unit: ℃) and wind(the barb); 925 hPa water vapor flux(the shaded), height(the blue isoline, unit: dagpm), temperature(the red isoline, unit: ℃) and wind(the barb); surface sea level pressure(the grey isoline, unit: hPa), 2 m temperature(the shaded) and 10 m wind(the barb) on 12 May and 13 Jul in 2018

    图  4  RMAPS-Ocean和两次降尺度后模拟的2018年5月12日和7月13日最大反射率因子

    Fig. 4  Max reflectivity factor from RMAPS-Ocean and after two times downscaling on 12 May and 13 Jul in 2018

    图  5  图 4,但为敏感性试验

    Fig. 5  The same as in Fig. 4, but for the sensitivity experiment

    图  6  2018年5月12日和7月13日对流有效位能(填色)、0~6 km垂直风切变(红色等值线, 单位: m·s-1)和850 hPa风场(风羽)

    Fig. 6  Convective available potential energy(the shaded, unit: J), 0-6 km vertical wind shear(the red isoline, unit: m·s-1) and 850 hPa wind(the barb) on 12 May and 13 Jul in 2018

    图  7  2018年5月12日和7月13日浮力B(填色)及纬向风(单位: m·s-1)与垂直速度(单位: 10-1m·s-1)合成场(箭头) 垂直剖面(沿图4中黑色实线,图底部的蓝色实线代表海洋下垫面)

    Fig. 7  Vertical cross-section of buoyancy B(the shaded) and the combination(the arrow) of zonal wind(unit: m·s-1) and vertical movement(unit: 10-1m·s-1) on 12 May and 13 Jul in 2018(the vertical cross-sections are made along the black line in Fig.4, blue solid lines in the bottom of the figures denote the sea surface)

    图  8  2018年5月12日和7月13日区域平均的视热源Q1和视水汽汇Q2及其局地变化Q1_lcQ2_lc, 水平平流Q1_advQ2_adv和垂直输送Q1_vtQ2_vt作用的垂直廓线(选择区域见图 4中红色方框)

    Fig. 8  Vertical profile of apparent heat source Q1, apparent moist sink Q2, as well as effects of local change Q1_lc and Q2_lc, horizontal advection Q1_adv and Q2_adv, vertical transfer Q1_vt and Q2_vt effects on 12 May and 13 Jul in 2018(the selected region is shown in red box in Fig. 4)

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出版历程
  • 收稿日期:  2022-06-26
  • 修回日期:  2022-08-04
  • 网络出版日期:  2022-11-21
  • 刊出日期:  2022-11-17

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