Search for dissertations about: "Climate proxy"
Showing result 1 - 5 of 85 swedish dissertations containing the words Climate proxy.
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1. Model analysis of ocean carbon storage and transport across climate states
Abstract : The ocean carbon cycle plays a fundamental role in the Earth’s climate system, on decadal to multi-millennial timescales. Of the carbon held in the ocean, the atmosphere, and the terrestrial biosphere combined, more than 90% resides in the ocean. Carbon enters the surface ocean through air-sea gas exchange and from terrestrial sources. READ MORE
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2. Evaluation of climate model simulations by means of statistical methods
Abstract : Evaluation of climate model simulations is a key issue within climate research. The statistical framework proposed by Sundberg et al., 2012, provides a theoretical underpinning of methods for evaluation of climate models by use of climateproxy data from the last millennium. READ MORE
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3. Modelling regional climate-vegetation interactions in Europe : A palaeo perspective
Abstract : Studies in paleoclimate are important because they give us knowledge about how the climate system works and puts the current climate change in necessary perspective. By studying (pre)historic periods we increase our knowledge not just about these periods, but also about the processes that are important for climatic variations and changes. READ MORE
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4. Primary Marine Aerosol Production : An experimental study based on Arctic Ocean water and a sea water proxy
Abstract : This thesis focuses on the interplay between the physical properties of ocean water and primary marine aerosol (PMA) emissions in the context of a rapidly changing Arctic climate. PMAs are an important part of the climate system due to their ability to interact with incoming solar radiation and to influence cloud properties. READ MORE
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5. Towards a flexible statistical modelling by latent factors for evaluation of simulated responses to climate forcings
Abstract : In this thesis, using the principles of confirmatory factor analysis (CFA) and the cause-effect concept associated with structural equation modelling (SEM), a new flexible statistical framework for evaluation of climate model simulations against observational data is suggested. The design of the framework also makes it possible to investigate the magnitude of the influence of different forcings on the temperature as well as to investigate a general causal latent structure of temperature data. READ MORE