WRF模式不同参数化方案组合对青海气温、降水及风速模拟的影响

doi:10.11755/j.issn.1006-7639(2018)-03-0423

WRF模式不同参数化方案组合对青海气温、降水及风速模拟的影响

沈晓燕1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2，颜玉倩1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2，肖宏斌1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2，权晨1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2

1.青海省气象科学研究所，青海西宁810001;2.青海省防灾减灾重点实验室，青海西宁810001

出版日期:2018-06-30 发布日期:2018-06-30

Influence on Simulation of Temperature, Precipitation and Wind
Speed by Using Different Combinations of Parameterization
Schemes in WRF Model in Qinghai Province

SHEN Xiaoyan1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2, YAN Yuqian1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2, XIAO Hongbin1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2, QUAN Chen1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2

1. Qinghai Institute of Meteorological Science, Xining 810001, China;
2. Key Laboratory for Disaster Prevention and Mitigation in Qinghai Province, Xining 810001, China

Online:2018-06-30 Published:2018-06-30

摘要/Abstract

摘要：

利用50个气象站观测资料，对比讨论WRF模式不同微物理过程、积云对流和边界层参数化方案组合对青海省气温、降水及风速的模拟效果。结果表明：（1）微物理过程和积云对流参数化方案分别选用Eta(Ferrier)和KF时，气温模拟效果较好；Thompson方案、KF方案和ACM2方案的组合对降水模拟普遍较好；边界层方案的选取对风速的模拟较为重要。（2）对比不同季节的模拟效果可以看出，夏季气温、降水模拟效果均较好。（3）最低气温模拟效果均好于最高气温，最高气温偏低明显。（4）小雨预报普遍偏多，中雨预报略偏少，大雨整体预报偏少。

关键词: WRF模式, 参数化方案, 青海

Abstract:

Based on the observation data from 50 meteorological stations, the applicability of combined schemes of microphysical process, cumulus convection and boundary layer parameterization scheme in the WRF model in Qinghai in different seasons were discussed. The results are as follows: (1) When the Eta (Ferrier) and KF schemes were selected as the microphysical process and convection parameterization scheme, the temperature simulation results were better. The combination of Thompson, KF and ACM2 scheme was generally superior for precipitation simulation. The selection of the boundary layer scheme was more importrant to the simulation of wind speed. (2) Through the comparison of simulated results in different seasons, it can be seen that the simulation results of temperature and precipitation in summer were better. (3) The forecast effect of the minimum temperature was better than that of the maximum temperature, the simulated maximum temperature was obviously less than observation. (4) The forecast of light rain was generally more, for the moderate rain it was slightly less, while for the heavy rain it was generally less.

Key words: WRF model, parameterization scheme, Qinghai

沈晓燕1,2，颜玉倩1,2，肖宏斌1,2，权晨1,2. WRF模式不同参数化方案组合对青海气温、降水及风速模拟的影响[J]. 干旱气象, DOI: 10.11755/j.issn.1006-7639(2018)-03-0423.

SHEN Xiaoyan1,2, YAN Yuqian1,2, XIAO Hongbin1,2, QUAN Chen1,2. Influence on Simulation of Temperature, Precipitation and Wind
Speed by Using Different Combinations of Parameterization
Schemes in WRF Model in Qinghai Province[J]. Journal of Arid Meteorology, DOI: 10.11755/j.issn.1006-7639(2018)-03-0423.

[1]	李万志, 张调风, 马有绚, 冯晓莉, 余迪, 陈冀青. 基于灾害风险因子的青海省干旱灾害风险区划[J]. 干旱气象, 2021, 39(3): 480-485.
[2]	谢婷, 马育军, 张午朝. 青海湖北岸大气向下长波辐射特征及云的影响[J]. 干旱气象, 2021, 39(2): 288-295.
[3]	冯晓莉, 多杰卓么, 李万志, 申红艳, 陈冀青. 1961—2018年青海高原极端气温指数时空变化特征[J]. 干旱气象, 2021, 39(1): 28-37.
[4]	王溪雯, 张飞民, 王芝兰, 杨凯, 王澄海. 青藏高原西部一次高原涡生成的数值模拟研究[J]. 干旱气象, 2021, 39(1): 54-64.
[5]	董甫, 张玲, 张海鹏, 李佳, 宋柳贤. 基于WRF模式的强天气过程集合预报综述[J]. 干旱气象, 2020, 38(5): 699-708.
[6]	朱生翠, 周秉荣, 魏永林, 权晨, 李全平, 肖宏斌. 气候变化对青海湖北岸天然牧草生长发育的影响[J]. 干旱气象, 2020, 38(5): 804-809.
[7]	马有绚, 李万志, 王丽霞, 白文蓉, 王紫文. 基于SPI的青海省春季干旱时空演变特征及环流诊断[J]. 干旱气象, 2020, 38(03): 362-370.
[8]	郑婧, 陈娟, 徐星生, 许彬. 一次低空急流加强下的暴雨过程成因分析[J]. 干旱气象, 2020, 38(03): 411-422.
[9]	朱平, 俞小鼎, 王振会, 肖建设. 青海高原致灾性对流天气时空分布特征[J]. 干旱气象, 2019, 37(3): 377-.
[10]	吴琼, 徐卫民. 湖陆山地复杂地形下近地层风速预报研究[J]. 干旱气象, 2019, 37(3): 384-.
[11]	王胜1，张强1，赵建华1，王兴2，徐燕3，白国强4. 典型干旱区陆面模式模拟检验[J]. 干旱气象, 2018, 36(6): 921-.
[12]	祁栋林1，2，赵全宁1，赵慧芳1，韩廷芳3，苏文将1. 2004—2017年青海省降尘的时空变化特征及区域差异[J]. 干旱气象, 2018, 36(6): 927-.
[13]	燕振宁1，马学谦2. 青海高原不同地区大气水汽含量对比分析[J]. 干旱气象, 2018, 36(3): 365-.
[14]	周万福，田建兵，康小燕，张博越，颜海前. 基于FY-2卫星数据的青海东部春季不同类型降水过程云参数特征[J]. 干旱气象, 2018, 36(3): 431-.
[15]	裴少阳，周丹，保广裕，申燕玲. 青海省公路沿线能见度时空变化特征及其影响因素[J]. 干旱气象, 2017, 35(6): 1004-1010.