尺度适应积云对流参数化方案对台风“暹芭”的数值模拟
作者:
作者单位:

1.陕西省气象局,陕西 西安 710014 ;2.中国气象局地球系统数值预报中心,北京 100081 ;3.中国气象科学研究院灾害天气国家重点实验室,北京 100081

作者简介:

马怡轩,女,硕士研究生,主要从事数值模式云微物理过程研究,mayx199921@163.com。

中图分类号:

P444;P456.7

基金项目:

国家自然科学基金项目(42175167,U2142213);中国气象局能力提升联合研究专项(22NLTSZ006);中国沙漠气象科学研究基金项目(Sqj2023022)


请扫码阅读

Impact of scale-aware cumulus convection parameterization scheme on numerical simulation of Typhoon Chaba
Author:
Affiliation:

1.Shaanxi Meteorological Service, Xi’an 710014 , China ; 2.CMA Earth System Modeling and Prediction Center, Beijing 100081 , China ; 3.State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081 , China

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [23]
  • |
  • 相似文献 [20]
  • | | |
  • 文章评论
    摘要:

    传统的积云对流参数化方案难以较好地适用于高水平分辨率,特别是10 km以下水平分辨率的降水数值模拟,尺度适应(scale-aware)积云对流参数化方案是对此进行改进的有效方法。在中国气象局中尺度模式(China Meteorological Administration MESOscale model,CMA-MESO)中应用尺度适应KFeta(Kain-Fritsch eta)积云对流参数化方案对台风“暹芭”进行800 m、1 km、3 km、10 km和20 km这5种水平分辨率的数值模拟试验。结果表明:(1)随着水平分辨率的提高,尺度适应KFeta积云对流参数化方案模拟的降水强度和落区更接近实况,显著减少了由积云引起的虚假性降水,提高了网格降水量。(2)随着对流强度减弱,尺度适应KFeta积云对流参数化方案TS(threat score)评分优势逐渐凸显,空报率和漏报率明显改善。(3)在降水最大时刻的强对流区域,尺度适应KFeta积云对流参数化方案雷达组合反射率因子的模拟结果更优。整体来看,尺度适应KFeta积云对流参数化方案在对流强度较弱的条件下表现更出色,为改进现行数值模式强降水预报提供了参考。

    Abstract:

    Traditional cumulus convection parameterization schemes may be inefficient in the numerical simulation of precipitation with high resolution model, especially when the grid size less than 10 km, while the scale-aware cumulus convection parameterization scheme is an effective alternative. In this study, 5 simulation experiments with horizontal resolutions of 800 m, 1 km, 3 km, 10 km and 20 km are carried out using the CMA-MESO model (China Meteorological Administration MESOscale model) and the scale-aware KFeta (Kain-Fritsch eta) cumulus convection parameterization scheme for Typhoon Chaba. The results are as follows. (1) With the increase of horizontal resolution, the precipitation intensity and falling area simulated by the scale-aware KFeta cumulus convection parameterization scheme are closer to the real situation, which significantly reduces the false precipitation caused by cumulus clouds and improves the grid precipitation. (2) With the weakening of convective intensity, the advantages of the scale-aware KFeta cumulus convection parameterization scheme gradually become prominent, and the missing ratio and false alarm ratio are significantly reduced. (3) In the strong convection area at the time of the maximum precipitation, the simulation results of the radar composite reflectivity of the scale-aware KFeta cumulus convection parameterization scheme are better. On the whole, the scale-aware KFeta cumulus convection parameterization scheme performs better under weak convective intensity, which provides a reference for improving the prediction of heavy precipitation in the current numerical model.

    参考文献
    [1] 程正泉,陈联寿,徐祥德,等.近10年中国台风暴雨研究进展[J].气象,2005,31(12):3-9.
    [2] 谭晓伟.边界层高度和动量粗糙度的不确定性对台风“天鸽”(1713)模拟的影响[J].海洋气象学报,2023,43(1):39-51.
    [3] 王海平,渠鸿宇,董林,等.CMA数值模式对台风“杜苏芮”(2305)的预报性能分析[J].海洋气象学报,2023,43(4):21-31.
    [4] 程佳佳,徐国强.郑州“7·20”极端暴雨过程中水汽和高低空急流作用机制的数值模拟[J].海洋气象学报,2022,42(3):57-68.
    [5] 李超,沈菲菲,许冬梅,等.超强台风“Saomai”的数值模拟及诊断分析[J].陕西气象,2019(3):8-17.
    [6] 庞琦烨,平凡,沈新勇,等.不同微物理方案对台风“彩虹”(2015)降水影响的比较研究[J].大气科学,2019,43(1):202-220.
    [7] 李宸昊,董文杰.登陆型台风“尤特”积云对流参数化方案的数值模拟研究[J].海洋预报,2021,38(3):19-28.
    [8] 辅天华,陈海山,曾智华,等.云微物理参数化对东亚近海热带气旋活动模拟的影响[J].海洋气象学报,2020,40(1):12-21.
    [9] MESSMER M,GONZÁLEZ-ROJÍ S J,RAIBLE C C,et al.Sensitivity of precipitation and temperature over the Mount Kenya area to physics parameterization options in a high-resolution model simulation performed with WRFV3.8.1[J].Geosci Model Dev,2021,14(5):2691-2711.
    [10] 刘静,任川,赵梓淇,等.多区域高分辨率模式强降水预报检验分析[J].气象,2022,48(10):1292-1302.
    [11] 黎慧琦,张大林.中小尺度对流系统的高分辨率数值模拟近况和未来挑战[J].气象科技进展,2021,11(3):75-91.
    [12] ARAKAWA A,JUNG J H.Multiscale modeling of the moist-convective atmosphere:a review[J].Atmos Res,2011,102(3):263-285.
    [13] 王德立,徐国强.高分辨率模式中积云参数化方案对模拟台风“凡亚比”的影响[J].气象科技,2012,40(6):949-959.
    [14] BULLOCK O R Jr,ALAPATY K,HERWEHE J A,et al.A dynamically computed convective time scale for the Kain-Fritsch convective parameterization scheme[J].Mon Wea Rev,2015,143(6):2105-2120.
    [15] HONG S Y,DUDHIA J.Next-generation numerical weather prediction:bridging parameterization,explicit clouds,and large eddies[J].Bull Amer Meteor Soc,2012,93(1):ES6-ES9.
    [16] 张旭,黄伟,陈葆德.高分辨率数值预报模式的尺度自适应物理过程参数化研究[J].气象科技进展,2017,7(6):105-110.
    [17] WANG D,PREIN A F,GIANGRANDE S E,et al.Convective updraft and downdraft characteristics of continental mesoscale convective systems in the model gray zone[J].J Geophys Res:Atmos,2022,127(16):e2022jd036746.
    [18] 徐道生,陈子通,钟水新,等.积云参数化方案中云底质量通量的限制及在高分辨率模式中的应用[J].热带气象学报,2014,30(3):401-412.
    [19] 徐道生,张艳霞,王刚,等.meso-SAS对流参数化方案的改进及其在9 km分辨率模式中的应用[J].热带气象学报,2015,31(5):608-618.
    [20] ZHENG Y,ALAPATY K,HERWEHE J A,et al.Improving high-resolution weather forecasts using the Weather Research and Forecasting(WRF)model with an updated Kain-Fritsch scheme[J].Mon Wea Rev,2016,144(3):833-860.
    [21] 赵晨阳,徐国强.尺度适应的对流参数化方案对一次华南飑线模拟的影响[J].大气科学,2020,44(2):297-314.
    [22] 杨扬,卢冰,王薇,等.基于WRF的积云对流参数化方案对中国夏季降水预报的影响研究[J].气象学报,2021,79(4):612-625.
    [23] KAIN J S.The Kain-Fritsch convective parameterization:an update[J].J Appl Meteor,2004,43(1):170-181.
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

马怡轩,徐国强,于翡.尺度适应积云对流参数化方案对台风“暹芭”的数值模拟[J].海洋气象学报,2025,(1):34-44.

复制
分享
文章指标
  • 点击次数:64
  • 下载次数: 88
  • HTML阅读次数: 45
  • 引用次数: 0
文章历史
  • 收稿日期:2024-06-25
  • 最后修改日期:2024-09-02
  • 在线发布日期: 2025-02-21