A Nonlinear Multi-Proxy Model Based on Manifold Learning to Reconstruct Water Temperature from High Resolution Trace Element Profiles in Biogenic Carbonates [Elektronisk resurs]
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Bauwens, Maite (författare)
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Ohlsson, Henrik 1981- (författare)
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Barbe, Kurt (författare)
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Beelaerts, Veerle (författare)
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Dehairs, Frank (författare)
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Schoukens, Johan (författare)
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- Linköpings universitet Institutionen för systemteknik (utgivare)
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Alternativt namn: ISY
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Alternativt namn: Engelska: Linköping University. Department of Electrical Engineering
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- Linköpings universitet Tekniska högskolan (utgivare)
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Alternativt namn: Linköpings universitet. Tekniska fakulteten
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Alternativt namn: Linköpings tekniska högskola
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Alternativt namn: Tekniska högskolan vid Linköpings universtiet
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Alternativt namn: LiTH
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Alternativt namn: Linköping University. Institute of Technology
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Se även: Universitet i Linköping Tekniska högskolan
- Copernicus Publications 2010
- Engelska.
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Ingår i: Geoscientific Model Development. - 1991-959X. ; 3:3, 653-667
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Sammanfattning
Ämnesord
Stäng
- A long standing problem in paleoceanography concerns the reconstruction of water temperature from δ 18 O carbonate, which for freshwater influenced environments is hindered because the isotopic composition of the ambient water (related to salinity) affects the reconstructed temperature. In this paper we argue for the use of a nonlinear multi-proxy method called Weight Determination by Manifold Regularization to develop a temperature reconstruction model that is less sensitive to salinity variations. The motivation for using this type of model is twofold: Firstly, observed nonlinear relations between specific proxies and water temperature motivate the use of nonlinear models. Secondly, the use of multi-proxy models enables salinity related variations of a given temperature proxy to be explained by salinity-related information carried by a separate proxy. Our findings confirm that Mg/Ca is a powerful paleothermometer and highlight that reconstruction performance based on this proxy is improved significantly by combining its information with the information of other trace elements in multi-proxy models. Using Mg/Ca, Sr/Ca, Ba/Ca and Pb/Ca the WDMR model enabled a temperature reconstruction with a root mean squared error of ±2.19 °C for a salinity range between 15 and 32.
Ämnesord
- Engineering and Technology (hsv)
- Electrical Engineering, Electronic Engineering, Information Engineering (hsv)
- Control Engineering (hsv)
- Teknik och teknologier (hsv)
- Elektroteknik och elektronik (hsv)
- Reglerteknik (hsv)
- TECHNOLOGY (svep)
- Information technology (svep)
- Automatic control (svep)
- TEKNIKVETENSKAP (svep)
- Informationsteknik (svep)
- Reglerteknik (svep)
Indexterm och SAB-rubrik
- Nonlinear
- Manifold learning
- Water temperature
- Biogenic carbonates
- Weight determination by manifold regularization
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