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https://umu.diva-portal.org/smash/project.jsf?pid=project:939
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Title [sv]
Från klimat till väder - nya angreppssätt att utläsa det forna klimatets säsongsvariationer med hjälp av kiselalger och varviga sjösediment
Title [en]
From climate towards weather - novel paleoclimatological approaches using diatoms and varved lake sediments to reconstruct seasonal climate dynamics
Abstract [sv]
Model predictions for future climate indicate dramatic shifts in the accentuation of the different seasons. Changed seasonality has strong implications for ecosystems and society, not least at higher latitudes. Despite its significance, little is known about seasonality changes in the past, mainly because the majority of paleoclimatological archives track summer conditions or have low temporal resolution. By combining analyses of diatoms and varved lake sediments, this research project will develop and apply a novel approach to reconstruct changes in seasonality. Sensitivity analysis of diatoms to seasonal climate conditions using surface sediment samples and sediment trap data, as well as combined high-resolution time series analyses of diatoms and varve properties in the lake Kassjön (N Sweden) are used to develop a quantitative seasonality index. This quantitative index will be applied to infer seasonality changes during time-periods of interest over the past >6000 yrs, relating locally prevailing seasonal shifts in precipitation and temperature to regional circulation patterns and climate regimes. This project will increase the understanding of long-term changes of seasonal climate dynamics, which is highly relevant in light of recorded and predicted rapid climate changes. Furthermore, high-resolution paleoclimatological data covering winter climate conditions are rare and essential for constraining global circulation models, and hence improve future climate predictions.
Principal Investigator
Bigler, Christian
Umeå University
Coordinating organisation
Umeå University
Funder
Vetenskapsrådet
Period
2010-01-01 - 2012-12-31
Identifiers
DiVA, id: project:939
Project, id: 2009-04323_VR
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