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Jonas Ågren

Researcher at Royal Institute of Technology

Publications -  43
Citations -  744

Jonas Ågren is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Geoid & Gravity (chemistry). The author has an hindex of 13, co-authored 38 publications receiving 581 citations.

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The 8th International Comparison of Absolute Gravimeters 2009: the first Key Comparison (CCM.G-K1) in the field of absolute gravimetry

TL;DR: The 8th International Comparison of Absolute Gravimeters (ICAG2009) as mentioned in this paper was the first ICAG organized as a key comparison in the framework of the CIPM Mutual Recognition Arrangement of the International Committee for Weights and Measures (CIPM MRA).
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NKG2016LU: a new land uplift model for Fennoscandia and the Baltic Region

TL;DR: In this paper, the authors present the official land uplift model NKG2016LU of the Nordic Commission of Geodesy (NKG) for northern Europe, which covers an area from 49° to 75° latitude and 0° to 50° longitude and shows a maximum absolute uplift of 10.3mm/a near the city of Umea in northern Sweden and a zero-line that follows the shores of Germany and Poland.
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The new gravimetric quasigeoid model KTH08 over Sweden

TL;DR: The least squares modification of Stokes formula has been developed in a series of papers published in Journal of Geodesy between 1984 and 2008 as mentioned in this paper, which consists of a least squares (stochastic) Stokes k...
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The European Comparison of Absolute Gravimeters 2011 (ECAG-2011) in Walferdange, Luxembourg: results and recommendations

TL;DR: The results of the third European Comparison of Absolute Gravimeters held in Walferdange, Grand Duchy of Luxembourg, in November 2011 are presented in this paper, where two different combinations of data are used.
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Comparison of remove-compute-restore and least squares modification of Stokes' formula techniques to quasi-geoid determination over the Auvergne test area

TL;DR: In this article, the Least Squares Modification of Stokes' Formula (LSMS) technique not requiring gravity reductions is implemented with a Residual Terrain Modelling based interpolation of gravity data.