{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T21:33:14Z","timestamp":1772832794168,"version":"3.50.1"},"reference-count":125,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2015,7,9]],"date-time":"2015-07-09T00:00:00Z","timestamp":1436400000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>This paper gives the quantitative relationship between prediction error and given past sample size in our research of sea level time series. The present result exhibits that the prediction error of sea level time series in terms of given past sample size follows decayed power functions, providing a quantitative guideline for the quality control of sea level prediction.<\/jats:p>","DOI":"10.3390\/e17074809","type":"journal-article","created":{"date-parts":[[2015,7,10]],"date-time":"2015-07-10T02:02:23Z","timestamp":1436493743000},"page":"4809-4837","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Power-Type Functions of Prediction Error of Sea Level  Time Series"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2725-353X","authenticated-orcid":false,"given":"Ming","family":"Li","sequence":"first","affiliation":[{"name":"Ocean College, Zhejiang University, Hangzhou 310058, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanchun","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, East China Normal University, Shanghai 200241, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianxing","family":"Leng","sequence":"additional","affiliation":[{"name":"Ocean College, Zhejiang University, Hangzhou 310058, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,7,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.jweia.2014.07.007","article-title":"The challenging case of the turbulent flow around a thin plate wind deflector, and its numerical prediction by LES and RANS models","volume":"133","author":"Sampaio","year":"2014","journal-title":"J. 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