TOMACS期间对流的ARPS模拟

IF 2.4 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of the Meteorological Society of Japan Pub Date : 2018-03-09 DOI:10.2151/JMSJ.2018-030
A. P. Filho, Felipe Vemado, Kazuo Saito, H. Seko, José Luis Flores Rojas, H. Karam
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引用次数: 5

摘要

东京都市圈对流研究(TOMACS)是世界天气研究计划(WWRP)的一个研究与发展项目(RDP)。TOMACS为研究热岛效应和海风环流作用下的东京大都市区三期深对流提供了多平台、高时空分辨率的数据集。利用热带城镇能量收支(T-TEB)模式和先进区域预报系统(ARPS)对2011年8月26日、2013年7月23日和2013年8月12日的强降水事件进行了模拟。T-TEB/ARPS系统使用了日本气象厅(JMA)中尺度分析数据的初始条件和边界条件,对日本上空5公里分辨率和TOMACS上空1公里分辨率进行了24小时综合运行。每小时1公里分辨率的降雨场模拟与各自的自动气象数据采集系统(AMeDAS)雨量计网的测量结果进行了验证。对列联表进行统计,估计临界成功指数(CSI)、检测概率(POD)、虚警率(FAR)和均方根误差(RMSE)。T-TEB/ARPS模拟改善了南海和东海海风环流及其城市热岛效应。在平流时间尺度内,CSI评分的时间演化得到改善,而降水RMSE的耗散(相位)误差随积分时间的增加而增大,且大于弥散(振幅)误差。JMA的初始条件和边界条件大大改善了以前使用NCEP全球预报系统输出的模拟结果(如TOMACS数据集)。因此,这些结果代表©作者2018。这是一篇由日本气象学会根据国际知识共享署名4.0 (CC by 4.0)许可(http://creativecommons.org/license/by/4.0)发布的开放获取文章。通讯作者:Augusto jos Pereira Filho,巴西圣保罗大学地球物理与大气科学研究所大气科学系,Rua do mato, 1226, 05508-090 圣保罗,巴西E-mail: augusto.pereira@iag.usp.br J-stage Advance出版日期:2018年3月9日日本气象学会学报,Vol. 96A, pp. 247−263,DOI:10.2151/jmsj。2018- 030,2018极端天气韧性城市(TOMACS)东京大都市区对流研究特刊,日本气象学会学报,Vol. 96A . 248
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ARPS Simulations of Convection during TOMACS
The Tokyo Metropolitan Area Convection Study (TOMACS) for extreme-weather-resilient cities is a research and development project (RDP) of the World Weather Research Programme (WWRP). TOMACS provided a multiplatform and high spatiotemporal resolution dataset for the present research on three episodes of deep convection in the Tokyo Metropolitan Area (TMA) under its heat island effect and sea breeze circulations. Heavy rainfall episodes of August 26, 2011, and July 23 and August 12, 2013, were simulated with (and without) the tropical town energy budget (T-TEB) model coupled with the advanced regional prediction system (ARPS). The T-TEB/ARPS system used initial and boundary conditions from the Japan Meteorological Agency (JMA) mesoscale analysis data for 24-hour integration runs at 5-km resolution over Japan and at 1-km resolution over TOMACS area. The 1-km resolution hourly rainfall field simulations were verified against the respective automated meteorological data acquisition system (AMeDAS) rain gauge network measurements. Statistics of the Contingency tables were obtained to estimate the critical success index (CSI), probability of detection (POD), and false alarm rate (FAR) as well as the root mean square error (RMSE). The T-TEB/ARPS simulations improved the south and east sea breeze circulations of TMA and its urban heat island effect. The time evolution of CSI scores improved within the advective time scale, whereas dissipation (phase) errors on precipitation RMSE increased with the integration time and were larger than the dispersion (amplitude) errors. The initial and boundary conditions of JMA greatly improved the simulations as compared to the previous ones performed with the outputs of NCEP’s global forecast system as indicated by the TOMACS datasets. Thus, the results represent the ©The Author(s) 2018. This is an open access article published by the Meteorological Society of Japan under a Creative Commons Attribution 4.0 International (CC BY 4.0) license (http://creativecommons.org/license/by/4.0). Corresponding author: Augusto José Pereira Filho, Department of Atmospheric Sciences of the Institute of Astronomy, Geophysics and Atmospheric Sciences IAG, University of São Paulo USP, Rua do Matão, 1226, 05508-090 São Paulo, Brazil E-mail: augusto.pereira@iag.usp.br J-stage Advance Published Date: 9 March 2018 Journal of the Meteorological Society of Japan, Vol. 96A, pp. 247−263, DOI:10.2151/jmsj.2018-030, 2018 Special Issue on Tokyo Metropolitan Area Convection Study for Extreme Weather Resilient Cities (TOMACS) Journal of the Meteorological Society of Japan Vol. 96A 248
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来源期刊
Journal of the Meteorological Society of Japan
Journal of the Meteorological Society of Japan 地学-气象与大气科学
CiteScore
6.70
自引率
16.10%
发文量
56
审稿时长
3 months
期刊介绍: JMSJ publishes Articles and Notes and Correspondence that report novel scientific discoveries or technical developments that advance understanding in meteorology and related sciences. The journal’s broad scope includes meteorological observations, modeling, data assimilation, analyses, global and regional climate research, satellite remote sensing, chemistry and transport, and dynamic meteorology including geophysical fluid dynamics. In particular, JMSJ welcomes papers related to Asian monsoons, climate and mesoscale models, and numerical weather forecasts. Insightful and well-structured original Review Articles that describe the advances and challenges in meteorology and related sciences are also welcome.
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