Multivariate Regression Approach To Integrate Multiple Satellite And Tide Gauge Data For Real Time Sea Level Prediction

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Abstract

The Sea Level Thematic Assembly Center in the EUFP7 MyOcean project aims at build a sea level service for multiple satellite sea level observations at a European level for GMES marine applications. It aims to improve the sea level related products to guarantee the sustainability and the quality of GMES marine core service. One such added value will be a multivariate regression model of sea level variability of multisatellite and in-situ tide gauge observations with the aim at improved future high spatial and temporal sea level prediction for i.e., human safety. Tide gauges and satellite altimetry data from the last seventeen years have been compared for an area around UK and temporal correlation coefficients between them were calculated. The results are extremely encouraging, as we have shown that the detided signal from response method correlates to more than 90% for nearly all tide gauge stations with satellite altimetry.
Original languageEnglish
Title of host publicationProceedings of ESA Living Planet Symposium
PublisherEuropean Space Agency
Publication date2010
ISBN (Print)978-92-9221-250-6
Publication statusPublished - 2010
Event2010 ESA Living Planet Symposium - Bergen, Norway
Duration: 28 Jun 20102 Jul 2010
http://www.esa.int/esaMI/Living_Planet_Symposium_2010/index.html

Conference

Conference2010 ESA Living Planet Symposium
CountryNorway
CityBergen
Period28/06/201002/07/2010
Internet address

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