Reconstruction of gappy mean sea level data

Abstract

<span style="font-size:11.0pt;font-family:" times="" new="" roman";="" mso-fareast-font-family:"times="" roman";mso-bidi-font-family:mangal;="" mso-ansi-language:en-in;mso-fareast-language:en-in;mso-bidi-language:hi"="">Missing data is a common problem in sea level records, and yet gappy records may hinder estimates of sea level trend and variability. Sea level may be affected by various scale phenomena, ranging from global climate change to interannual sea level pattern caused by coupled ocean-atmosphere oscillations, as well as by many other regional phenomena. It could be expected that such complexity make sea level analysis more difficult; however, if relationships between the above phenomena and sea level values are established for continuous parts of the record, they can be used for reconstruction of the gappy parts. In this study, we derive simple and robust method of reconstruction of the gappy data in the Singapore Strait using established relationships of sea level on the El Ni<span style="font-size:11.0pt;font-family: " times="" new="" roman";mso-fareast-font-family:"times="" roman";mso-bidi-font-family:="" mangal;mso-ansi-language:en-gb;mso-fareast-language:en-us;mso-bidi-language:="" hi"="" lang="EN-GB">ñ<span style="font-size:11.0pt;font-family:" times="" new="" roman";="" mso-fareast-font-family:"times="" roman";mso-bidi-font-family:mangal;="" mso-ansi-language:en-in;mso-fareast-language:en-in;mso-bidi-language:hi"="">o-Southern Oscillation (ENSO) and the Asian monsoon. The reconstructed mean sea level is verified against observations, and allows for more accurate estimation of sea level trend and variability in the Singapore Strait.</span></span></span>