{"dcterms:modified":"2020-01-31","dcterms:creator":"A Dataverse Instance","@type":"ore:ResourceMap","@id":"http://opendata.cqjj8.com/api/datasets/export?exporter=OAI_ORE&persistentId=doi:10.18170/DVN/FZ1FDM","ore:describes":{"citation:Title":"EOF-EEMD Statistical Analysis and Visualization Package","citation_zh:标题":"EOF-EEMD Statistical Analysis and Visualization Package","citation_zh:作者":[{"author_zh:名称":"林金泰","author_zh:所在机构":"亚洲成人在线一二三四五六区物理学院大气与海洋科学系","author_zh:学者ID类型":"ORCID","author_zh:学者ID":"0000-0002-2362-2940"},{"author_zh:名称":"刘梦瑶"},{"author_zh:名称":"王宇晨"}],"citation:Author":[{"author:Name":"Mengyao Liu"},{"author:Name":"Jintai Lin"},{"author:Name":"Yuchen Wang"}],"citation_zh:联系人":{"datasetContact_zh:名称":"林金泰","datasetContact_zh:所在机构":"亚洲成人在线一二三四五六区物理学院大气与海洋科学系","datasetContact_zh:电子邮件":"linjt@cqjj8.com"},"citation:Contact":{"datasetContact:Name":"Jintai Lin","datasetContact:E-mail":"linjt@cqjj8.com"},"citation_zh:提交者":"孔浩","citation:Deposit Date":"2020-01-31","citation_zh:提交日期":"2020-01-31","citation_zh:描述":{"dsDescription_zh:文本":"<p><a href=\"http://www.phy.cqjj8.com/~acm/acmProduct.php#EOF-EEMD\">Homepage of Lingroup</a></p>\r\nMany variables of interest, such as air pollutants and meteorological parameters, often exhibit complex spatial and temporal variabilities. In particular, these variables contain many temporal scales that are non-periodic and non-stationary, challenging proper quantitative characterization and visualization.\r\nThe EOF-EEMD analysis-visualization package we complied aims to evaluate the spatiotemporal variability across scales, which can be periodic/stationary or not. As shown in the figure below, the package consists, in order, of an EOF analysis (Lorenz, 1956), an EEMD analysis (Wu et al., 2009), a Hilbert-Huang Transform (HT) with Marginal Spectrum Analysis (MSA), and a visualization step to quantitatively depict the spatial-temporal scales of measurement or model data.\r\n<p><a href=\"http://www.phy.cqjj8.com/~acm/acmProduct.php#EOF-EEMD\">See here</a> (including user guide, a full IDL version, and a partial MATLAB version) </p>\r\n<p>Note that parts of the codes are adopted from <a href=\"http://www.coaps.fsu.edu/zhaohua-wu\">Zhaohua Wu</a> in MATLAB, and parts are modified from Jinxuan Chen and May Fu's codes. See user guide for detailed credit descriptions. </p>"},"citation:Description":{"dsDescription:Text":"<p><a href=\"http://www.phy.cqjj8.com/~acm/acmProduct.php#EOF-EEMD\">Homepage of Lingroup</a></p>\r\nMany variables of interest, such as air pollutants and meteorological parameters, often exhibit complex spatial and temporal variabilities. In particular, these variables contain many temporal scales that are non-periodic and non-stationary, challenging proper quantitative characterization and visualization.\r\nThe EOF-EEMD analysis-visualization package we complied aims to evaluate the spatiotemporal variability across scales, which can be periodic/stationary or not. As shown in the figure below, the package consists, in order, of an EOF analysis (Lorenz, 1956), an EEMD analysis (Wu et al., 2009), a Hilbert-Huang Transform (HT) with Marginal Spectrum Analysis (MSA), and a visualization step to quantitatively depict the spatial-temporal scales of measurement or model data.\r\n<p><a href=\"http://www.phy.cqjj8.com/~acm/acmProduct.php#EOF-EEMD\">See here</a> (including user guide, a full IDL version, and a partial MATLAB version) </p>\r\n<p>Note that parts of the codes are adopted from <a href=\"http://www.coaps.fsu.edu/zhaohua-wu\">Zhaohua Wu</a> in MATLAB, and parts are modified from Jinxuan Chen and May Fu's codes. See user guide for detailed credit descriptions. </p>"},"citation:Subject":"Earth and Environmental Sciences","citation_zh:学科":"地球与环境科学","@id":"doi:10.18170/DVN/FZ1FDM","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.1","schema:datePublished":"2020-01-31","schema:name":"EOF-EEMD Statistical Analysis and Visualization Package","schema:dateModified":"2020-01-31 22:39:47.113","schema:license":"http://creativecommons.org/publicdomain/zero/1.0/","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"Dataverse for Lingroup","ore:aggregates":[],"schema:hasPart":[]},"@context":{"author":"http://opendata.cqjj8.com/schema/citation/author#","author_zh":"http://opendata.cqjj8.com/schema/citation_zh/author_zh#","citation":"http://opendata.cqjj8.com/schema/citation#","citation_zh":"http://opendata.cqjj8.com/schema/citation_zh#","datasetContact":"http://opendata.cqjj8.com/schema/citation/datasetContact#","datasetContact_zh":"http://opendata.cqjj8.com/schema/citation_zh/datasetContact_zh#","dcterms":"http://purl.org/dc/terms/","dsDescription":"http://opendata.cqjj8.com/schema/citation/dsDescription#","dsDescription_zh":"http://opendata.cqjj8.com/schema/citation_zh/dsDescription_zh#","dvcore":"http://dataverse.org/schema/core#","ore":"http://www.openarchives.org/ore/terms/","schema":"http://schema.org/"}}