单双参云微物理方案对华北“7·20”特大暴雨数值模拟对比分析

康延臻, Kang Yan-zhen, 靳双龙, Jin Shuanglong, 彭新东, Peng Xindong, 杨旭, Yang Xu, 尚可政, Shang Ke-zheng, 王式功, Wang Shi-gong
{"title":"单双参云微物理方案对华北“7·20”特大暴雨数值模拟对比分析","authors":"康延臻, Kang Yan-zhen, 靳双龙, Jin Shuanglong, 彭新东, Peng Xindong, 杨旭, Yang Xu, 尚可政, Shang Ke-zheng, 王式功, Wang Shi-gong","doi":"10.7522/j.issn.1000-0534.2017.00026","DOIUrl":null,"url":null,"abstract":"在2016年7月19-21日华北特大暴雨过程初步分析的基础上,采用中尺度数值模式WRF3.6.1中16种微物理参数化方案对该过程进行了数值模拟,并分为单参和双参两组对结果进行评估分析。结果表明,该过程为伴随低涡发展的强对流降水,持续时间长、范围广、总量大。大部分微物理方案对降水的分布模拟效果较好,能够再现此次特大暴雨过程;随模拟时间延长,方案间的差别变大,且单参方案对各量级降水的模拟差别比双参方案显著,方案间雨水混合比、固态水凝物以及垂直速度的差别均大于双参方案,整体效果不如双参方案。综合来看,SBU_YLin方案对于此次特大暴雨过程模拟效果最好,对降水量级和落区的模拟都接近实况。","PeriodicalId":70114,"journal":{"name":"高原气象","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"高原气象","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.7522/j.issn.1000-0534.2017.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

在2016年7月19-21日华北特大暴雨过程初步分析的基础上,采用中尺度数值模式WRF3.6.1中16种微物理参数化方案对该过程进行了数值模拟,并分为单参和双参两组对结果进行评估分析。结果表明,该过程为伴随低涡发展的强对流降水,持续时间长、范围广、总量大。大部分微物理方案对降水的分布模拟效果较好,能够再现此次特大暴雨过程;随模拟时间延长,方案间的差别变大,且单参方案对各量级降水的模拟差别比双参方案显著,方案间雨水混合比、固态水凝物以及垂直速度的差别均大于双参方案,整体效果不如双参方案。综合来看,SBU_YLin方案对于此次特大暴雨过程模拟效果最好,对降水量级和落区的模拟都接近实况。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Comparison and Analysis of Numerical Simulation of "7.20" extremely heavy rainstorm in North China by Single and Double Parameter Cloud Microphysics Scheme
在2016年7月19-21日华北特大暴雨过程初步分析的基础上,采用中尺度数值模式WRF3.6.1中16种微物理参数化方案对该过程进行了数值模拟,并分为单参和双参两组对结果进行评估分析。结果表明,该过程为伴随低涡发展的强对流降水,持续时间长、范围广、总量大。大部分微物理方案对降水的分布模拟效果较好,能够再现此次特大暴雨过程;随模拟时间延长,方案间的差别变大,且单参方案对各量级降水的模拟差别比双参方案显著,方案间雨水混合比、固态水凝物以及垂直速度的差别均大于双参方案,整体效果不如双参方案。综合来看,SBU_YLin方案对于此次特大暴雨过程模拟效果最好,对降水量级和落区的模拟都接近实况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.00
自引率
0.00%
发文量
4385
期刊介绍: Plateau Meteorology is a bimonthly academic journal with ISSN 1000-0534 and CN 62-1061/P since 1982. The journal is supervised by the Chinese Academy of Sciences, sponsored by the Northwest Institute of Ecology and Environmental Resources of the Chinese Academy of Sciences, and published by Science Press. It is dedicated to disseminating the knowledge of plateau meteorological science and promoting the development of plateau atmospheric science, aiming to meet the needs of plateau atmospheric scientific research and meteorological operations, as well as to promote the development of atmospheric science and related disciplines and the growth of talents. The journal pays special attention to new results, new ideas and new progress in the disciplines of Qinghai-Tibetan Plateau Meteorology and Mountain Meteorology, and covers the fields of weather and climate theory, observation, forecast prediction methods, global climate change, atmospheric physics, atmospheric chemistry and atmospheric lightning. Priority is given to the publication of innovative research results funded by the National Knowledge Innovation Project, National Major Research Projects and the National Natural Science Foundation of China. The journal is equipped with columns of academic papers, short essays, research briefs, academic discussions and comprehensive reviews, and is aimed at scientific and technical personnel in meteorology and related fields, operational personnel, and teachers and students of higher education institutions. Plateau Meteorology is included in several databases, including Chinese Core Journals, Chinese Science Citation Database, China Science and Technology Papers and Citation Database (Core Board), RCCSE Chinese Core Academic Journals, Chinese Academic Journals (CD-ROM), Scopus Database, EBSCO (USA), and Japan Science and Technology Agency (JST) Database.
期刊最新文献
Spatiotemporal Variation of Snow and its Response to Climate Change in Northeast China Analysis of the Heavy Precipitation Caused by Plateau Vortex in Northwest China Based on Satellite Data Classified Identification and Nowcast of Hail Weather Based on Radar Products and Random Forest Algorithm Evaluation and Bias Correction on the Subseasonal Forecast of Summer Precipitation over Southwestern China Forecasted by the Beijing Climate Center Sub-seasonal to Seasonal Predication System Trend Analysis of Future Temperature and Precipitation in Shule River Basin based on BCC-CSM2-MR Model
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1