Article(id=1242138665930006632, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138640944542126, articleNumber=null, orderNo=16, doi=10.3981/j.issn.1000-7857.2020.20.014, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1584720000000, receivedDateStr=2020-03-21, revisedDate=1594396800000, revisedDateStr=2020-07-11, acceptedDate=null, acceptedDateStr=null, onlineDate=1604480702397, onlineDateStr=2020-11-04, pubDate=1603814400000, pubDateStr=2020-10-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1604480702397, onlineIssueDateStr=2020-11-04, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078535774, creator=sys-migrate, updateTime=1774078535774, updator=sys-migrate, issue=Issue{id=1242138640944542126, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='20', pageStart='1', pageEnd='136', issueExtLink='null', onlineDate='null', pubDate='1603814400000', pubDateStr='2020-10-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078529817, creator='sys-migrate', updateTime=1774078529817, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=86, endPage=96, ext={EN=ArticleExt(id=1242138669742628984, articleId=1242138665930006632, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Progress and prospection of the severe weather forecasting demonstration project technologies, columnId=1242137755002675584, journalTitle=Science & Technology Review, columnName=Review, runingTitle=null, highlight=null, articleAbstract=In the context of the global climate change, severe weather is increasingly threatening the sustainable development of all countries, especially, developing countries. Thus an accurate and reliable weather forecast and the warning information are essential. This paper analyzes the Severe Weather Forecasting Demonstration Project (SWFDP) of the World Meteorological Organization (WMO), including its initial concept and the status of regional subprojects. Currently, 8 regional subprojects were set up, covering about 80 countries. The recent technical progresses of the severe weather forecasting are reviewed, including the global deterministic numerical models, the regional numerical models, the ensemble prediction systems and the meteorological satellite data applications. The SWFDP involves a cascading forecasting process to provide an effective access to the products and the tools made available by the advanced operational global and regional centres. The basic characteristics of the numerical models and the operational systems in the major domestic and international meteorological centers are analyzed. Furthermore, current challenges for the development of the severe weather forecasting demonstration project are analyzed and the prospects of the project as well as the numerical model applications are discussed., authors=WANG Yi¹, ZHOU Qingliang¹, TONG Hua¹, XIAN Di², XU Wanzhi³, REN Lu¹, TANG Wenyuan¹, authorsList=WANG Yi, ZHOU Qingliang, TONG Hua, XIAN Di, XU Wanzhi, REN Lu, TANG Wenyuan, authorCompany=1. National Meteorological Center, China Meteorological Administration, Beijing 100081, China;
2. National Satellite Meteorology Center, China Meteorological Administration, Beijing 100081, China;
3. International Cooperation Department, China Meteorological Administration, Beijing 100081, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=PoIpJ3gqWgprK9exJUrbyw==, pdfFileSize=2106118, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242138668861825137, articleId=1242138665930006632, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=灾害性天气预报示范计划技术进展, columnId=1242134377686180284, journalTitle=科技导报, columnName=综述, runingTitle=null, highlight=null, articleAbstract=在全球气候变化背景下，灾害性天气越来越危及世界各国尤其是发展中国家的可持续发展，准确和可靠的气象预报和预警信息至关重要。介绍了世界气象组织灾害性天气预报示范计划从最初的概念到各区域子计划的发展现状，分别从全球确定性数值模式、区域数值模式、集合预报系统和气象卫星资料应用回顾了灾害性天气预报技术的进展，以及国内外主要气象中心各数值模式和业务系统的基本特征，并分析了目前灾害性天气预报示范计划发展面临的挑战。结合全球气象发展战略和技术趋势，展望了该计划及数值模式技术应用的未来发展。, authors=王毅¹, 周庆亮¹, 佟华¹, 咸迪², 许万智³, 任璐¹, 唐文苑¹, authorsList=王毅, 周庆亮, 佟华, 咸迪, 许万智, 任璐, 唐文苑, authorCompany=1. 中国气象局国家气象中心, 北京 100081;
2. 中国气象局国家卫星气象中心, 北京 100081;
3. 中国气象局国际合作司, 北京 100081, correspAuthors=null, authorNote=王毅,博士,研究方向为集合预报和全球灾害性天气预报技术,电子信箱:yiwang@cma.gov.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=G6jth2qiGReFT4PdpWbVDg==, pdfFileSize=2106118, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家自然科学基金面上项目（41975100）；国家重点研发计划项目（2017YFC1502004）；中国气象局全球预报业务能力建设项目)}, authors=[Author(id=1277770369863958894, tenantId=1146029695717560320, journalId=null, articleId=1242138665930006632, orderNo=null, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=null, email=null, emailSecond=null, emailThird=null, correspondingAuthor=null, authorType=null, ext={EN=AuthorExt(id=null, tenantId=null, 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