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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
    Country/TerritoryNorway
    CityBergen
    Period28/06/201002/07/2010
    Internet address

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 14 - Life Below Water
      SDG 14 Life Below Water

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