Sea level reconstruction: Exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record
Ocean satellite altimetry has provided global sets of sea level data for the last two decades, allowing determination of spatial patterns in global sea level. For reconstructions going back further than this period, tide gauge data can be used as a proxy for the model. We examine different methods o...
Main Authors: | , , |
---|---|
Format: | Conference Object |
Language: | English |
Published: |
European Space Agency
2012
|
Subjects: | |
Online Access: | https://orbit.dtu.dk/en/publications/fe3842b2-c8f7-4952-9c31-152809618e72 https://backend.orbit.dtu.dk/ws/files/90446280/20ypra_abstracts.pdf |
id |
ftdtupubl:oai:pure.atira.dk:publications/fe3842b2-c8f7-4952-9c31-152809618e72 |
---|---|
record_format |
openpolar |
spelling |
ftdtupubl:oai:pure.atira.dk:publications/fe3842b2-c8f7-4952-9c31-152809618e72 2024-03-31T07:51:17+00:00 Sea level reconstruction: Exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record Svendsen, Peter Limkilde Andersen, Ole Baltazar Nielsen, Allan Aasbjerg 2012 application/pdf https://orbit.dtu.dk/en/publications/fe3842b2-c8f7-4952-9c31-152809618e72 https://backend.orbit.dtu.dk/ws/files/90446280/20ypra_abstracts.pdf eng eng European Space Agency https://orbit.dtu.dk/en/publications/fe3842b2-c8f7-4952-9c31-152809618e72 info:eu-repo/semantics/openAccess Svendsen , P L , Andersen , O B & Nielsen , A A 2012 , Sea level reconstruction: Exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record . in 20 years of progress in radar altimetry symposium : Abstract book . European Space Agency , Italy , pp. 149 , 20 years of Progress in Radar Altimetry , Venice-Lido , Italy , 24/09/2012 . /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action conferenceObject 2012 ftdtupubl 2024-03-06T00:57:37Z Ocean satellite altimetry has provided global sets of sea level data for the last two decades, allowing determination of spatial patterns in global sea level. For reconstructions going back further than this period, tide gauge data can be used as a proxy for the model. We examine different methods of combining satellite altimetry and tide gauge data using optimal weighting of tide gauge data, linear regression and EOFs, including automatic quality checks of the tide gauge time series. We attempt to augment the model using various proxies such as climate indices like the NAO and PDO, and investigate alternative transformations such as maximum autocorrelation factors (MAF), which better take into account the spatio-temporal structure of the variation. Whereas a traditional EOF analysis tries to explain as much variance as possible, the MAF transform considers noise to be uncorrelated with a spatially or temporally shifted version of itself, unlike the desired signal which will exhibit autocorrelation. This will be applied to a global dataset, necessitating wrap-around consideration of spatial shifts. Parameters from physical oceanography will be incorporated using the SODA ocean model for a preliminary reference. We will attempt to take into account the uncertainties on thermosteric expansion and on ice sheet contributions. Our focus is a timescale going back approximately 50 years, allowing reasonable global availability of tide gauge data. This allows for better sensitivity analysis with respect to spatial distribution, and tide gauge data are available around the Arctic Ocean, which may be important for a later high-latitude reconstruction. Conference Object Arctic Arctic Ocean Ice Sheet Technical University of Denmark: DTU Orbit Arctic Arctic Ocean |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
/dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action |
spellingShingle |
/dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action Svendsen, Peter Limkilde Andersen, Ole Baltazar Nielsen, Allan Aasbjerg Sea level reconstruction: Exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record |
topic_facet |
/dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action |
description |
Ocean satellite altimetry has provided global sets of sea level data for the last two decades, allowing determination of spatial patterns in global sea level. For reconstructions going back further than this period, tide gauge data can be used as a proxy for the model. We examine different methods of combining satellite altimetry and tide gauge data using optimal weighting of tide gauge data, linear regression and EOFs, including automatic quality checks of the tide gauge time series. We attempt to augment the model using various proxies such as climate indices like the NAO and PDO, and investigate alternative transformations such as maximum autocorrelation factors (MAF), which better take into account the spatio-temporal structure of the variation. Whereas a traditional EOF analysis tries to explain as much variance as possible, the MAF transform considers noise to be uncorrelated with a spatially or temporally shifted version of itself, unlike the desired signal which will exhibit autocorrelation. This will be applied to a global dataset, necessitating wrap-around consideration of spatial shifts. Parameters from physical oceanography will be incorporated using the SODA ocean model for a preliminary reference. We will attempt to take into account the uncertainties on thermosteric expansion and on ice sheet contributions. Our focus is a timescale going back approximately 50 years, allowing reasonable global availability of tide gauge data. This allows for better sensitivity analysis with respect to spatial distribution, and tide gauge data are available around the Arctic Ocean, which may be important for a later high-latitude reconstruction. |
format |
Conference Object |
author |
Svendsen, Peter Limkilde Andersen, Ole Baltazar Nielsen, Allan Aasbjerg |
author_facet |
Svendsen, Peter Limkilde Andersen, Ole Baltazar Nielsen, Allan Aasbjerg |
author_sort |
Svendsen, Peter Limkilde |
title |
Sea level reconstruction: Exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record |
title_short |
Sea level reconstruction: Exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record |
title_full |
Sea level reconstruction: Exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record |
title_fullStr |
Sea level reconstruction: Exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record |
title_full_unstemmed |
Sea level reconstruction: Exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record |
title_sort |
sea level reconstruction: exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record |
publisher |
European Space Agency |
publishDate |
2012 |
url |
https://orbit.dtu.dk/en/publications/fe3842b2-c8f7-4952-9c31-152809618e72 https://backend.orbit.dtu.dk/ws/files/90446280/20ypra_abstracts.pdf |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Ice Sheet |
genre_facet |
Arctic Arctic Ocean Ice Sheet |
op_source |
Svendsen , P L , Andersen , O B & Nielsen , A A 2012 , Sea level reconstruction: Exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record . in 20 years of progress in radar altimetry symposium : Abstract book . European Space Agency , Italy , pp. 149 , 20 years of Progress in Radar Altimetry , Venice-Lido , Italy , 24/09/2012 . |
op_relation |
https://orbit.dtu.dk/en/publications/fe3842b2-c8f7-4952-9c31-152809618e72 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1795029862417694720 |