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International Meeting on Statistical Climatology

国际统计气候学会议

基本信息

批准号：
9725031
负责人：
Peter Guttorp
金额：
$ 1.7万
依托单位：
University of Washington
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
1998
资助国家：
美国
起止时间：
1998-04-01 至 1999-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9725031&HistoricalAwards=false
关键词：
International Meeting Statistical Climatology

项目摘要

PI: Petter Guttorp Proposal Number: DMS 9725031 Project: International Conference on Statistical Climatology Abstract: This International Conference on Statistical Climatology, the sixth that has been held since 1979, will be held from May 25 to 29, 1998, in British Columbia. This series of international conferences has brought together statisticians and climatologists for both formal and informal discussions of problems and statistical methods for addressing them. There are two invited lectures per day, each with discussions by both statisticians and climatologists. This format promotes cross-disciplinary interactions and collaborations. Many of the leading issues in climatology are related to general circulation models. The major problem of interest is in comparing model runs to historical data, which have varying spatial and temporal coverage, varying instrumentation, and very different precision. These models are used to assess the effect of various anthropogenic influences on the climate, such as changing composition of various greenhouse gasses. Important topics to be discussed at this conference are the statistical techniques such as hiden Markov models, wavelet methods, and neural networks that can be used in developing useful models. This award is in support of expenses of participants from the United States. A large portion of the grant will go towards expenses of graduate students, new researchers, and members of underrepresented groups.

PI：Petter Guttorp提案编号：DMS 9725031项目：统计气候学国际会议摘要：第六届统计气候学国际会议自1979年以来一直举行的第二届世界园艺博览会将于1998年5月25日至29日在不列颠哥伦比亚省举行。这一系列国际会议，聚集了统计学家和气候学家，并就问题和解决问题的统计方法进行非正式讨论。每天有两个特邀讲座，每个与统计学家和气候学家的讨论。这种形式促进了跨学科的互动和合作。气候学中的许多主要问题是与大气环流模型有关。感兴趣的主要问题是将模型运行与历史数据进行比较，历史数据具有不同的空间和时间覆盖面，各种仪器，不同的精度。这些模式被用来评估各种人为因素对气候的影响，如气候变化，各种温室气体的组成。本次会议将讨论的重要议题是统计技术，如隐马尔可夫模型，小波方法和神经网络，可以用于开发有用的模型。这笔赔偿金用于支付来自美国的参加者的费用。这笔赠款的很大一部分将用于研究生、新研究人员和代表性不足的群体成员。