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Ingeborg Elbæk Nielsen

Researcher at Aarhus University

Publications -  9
Citations -  407

Ingeborg Elbæk Nielsen is an academic researcher from Aarhus University. The author has contributed to research in topics: Arctic & Arctic haze. The author has an hindex of 7, co-authored 8 publications receiving 304 citations.

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Current model capabilities for simulating black carbon and sulfate concentrations in the Arctic atmosphere: a multi-model evaluation using a comprehensive measurement data set

TL;DR: In this paper, the authors evaluated sulfate and black carbon (BC) concentrations from eleven different models driven with the same emission inventory against a comprehensive pan-Arctic measurement data set over a time period of 2 years (2008-2009).
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International Arctic Systems for Observing the Atmosphere: An International Polar Year Legacy Consortium

Taneil Uttal, +53 more
TL;DR: The International Arctic Systems for Observing the Atmosphere (IASOA) as mentioned in this paper is a legacy program that coordinates intensive measurements of the Arctic atmosphere collected in the United States, Canada, Russia, Norway, Finland, and Greenland to create synthesis science that leads to an understanding of why and not just how the Arctic atmospheric is evolving.
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Atmospheric black carbon and sulfate concentrations in Northeast Greenland

TL;DR: In this article, measurements of equivalent black carbon (EBC) in aerosols at the high Arctic field site Villum Research Station (VRS) at Station Nord in North Greenland showed a seasonal variation in EBC concentrations with a maximum in winter and spring at ground level.
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Time-resolved analysis of particle emissions from residential biomass combustion : Emissions of refractory black carbon, PAHs and organic tracers

TL;DR: In this paper, the authors investigated time-resolved particle emissions from a conventional wood stove with aerosol mass spectrometry to provide links between combustion conditions, emission factors, mixing state of refractory black carbon and implications for organic tracer methods.
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Characterization of distinct Arctic aerosol accumulation modes and their sources

TL;DR: In this article, the authors used cluster analysis of long term particle size distribution data to expand an array of different shorter term atmospheric measurements, thereby gaining insights into longer term patterns and properties of Arctic aerosol.