{"id":10290,"identifier":"DVN/FZ1FDM","persistentUrl":"http://doi.org/10.18170/DVN/FZ1FDM","protocol":"doi","authority":"10.18170","publisher":"Peking University Open Research Data Platform","publicationDate":"2020-01-31","storageIdentifier":"file://10.18170/DVN/FZ1FDM","datasetVersion":{"id":841,"storageIdentifier":"file://10.18170/DVN/FZ1FDM","versionNumber":1,"versionMinorNumber":1,"versionState":"RELEASED","productionDate":"Production Date","lastUpdateTime":"2020-01-31T14:39:47Z","releaseTime":"2020-01-31T14:39:47Z","createTime":"2020-01-31T14:39:42Z","license":"CC0","termsOfUse":"CC0 Waiver","fileAccessRequest":false,"metadataBlocks":{"citation_zh":{"displayName":"引用元数据","fields":[{"typeName":"title_zh","multiple":false,"typeClass":"primitive","value":"EOF-EEMD Statistical Analysis and Visualization Package"},{"typeName":"author_zh","multiple":true,"typeClass":"compound","value":[{"authorName_zh":{"typeName":"authorName_zh","multiple":false,"typeClass":"primitive","value":"林金泰"},"authorAffiliation_zh":{"typeName":"authorAffiliation_zh","multiple":false,"typeClass":"primitive","value":"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"},"authorIdentifierScheme_zh":{"typeName":"authorIdentifierScheme_zh","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier_zh":{"typeName":"authorIdentifier_zh","multiple":false,"typeClass":"primitive","value":"0000-0002-2362-2940"}},{"authorName_zh":{"typeName":"authorName_zh","multiple":false,"typeClass":"primitive","value":"刘梦瑶"}},{"authorName_zh":{"typeName":"authorName_zh","multiple":false,"typeClass":"primitive","value":"王宇晨"}}]},{"typeName":"datasetContact_zh","multiple":true,"typeClass":"compound","value":[{"datasetContactName_zh":{"typeName":"datasetContactName_zh","multiple":false,"typeClass":"primitive","value":"林金泰"},"datasetContactAffiliation_zh":{"typeName":"datasetContactAffiliation_zh","multiple":false,"typeClass":"primitive","value":"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"},"datasetContactEmail_zh":{"typeName":"datasetContactEmail_zh","multiple":false,"typeClass":"primitive","value":"linjt@cqjj8.com"}}]},{"typeName":"depositor_zh","multiple":false,"typeClass":"primitive","value":"孔浩"},{"typeName":"dateOfDeposit_zh","multiple":false,"typeClass":"primitive","value":"2020-01-31"},{"typeName":"dsDescription_zh","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue_zh":{"typeName":"dsDescriptionValue_zh","multiple":false,"typeClass":"primitive","value":"<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>"}}]},{"typeName":"subject_zh","multiple":true,"typeClass":"controlledVocabulary","value":["地球与环境科学"]}]},"citation":{"displayName":"Citation Metadata","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"EOF-EEMD Statistical Analysis and Visualization Package"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Mengyao Liu"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Jintai Lin"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Yuchen Wang"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Jintai Lin"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"linjt@cqjj8.com"}}]},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2020-01-31"},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"<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>"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Earth and Environmental Sciences"]}]}},"files":[],"citation":"Mengyao Liu; Jintai Lin; Yuchen Wang, 2020, \"EOF-EEMD Statistical Analysis and Visualization Package\", http://doi.org/10.18170/DVN/FZ1FDM, Peking University Open Research Data Platform, V1"}}