Search Results - "Godtliebsen, F."

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  1. 1

    Holocene climate variability of the Norwegian Atlantic Current during high and low solar insolation forcing by Berner, K. S., Koç, N., Godtliebsen, F., Divine, D.

    Published in Paleoceanography (01-06-2011)
    “…A high‐resolution sediment core from the Vøring Plateau has been studied to document the centennial to millennial variability of the surface water conditions…”
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  2. 2

    Surface water conditions and calcium carbonate preservation in the Fram Strait during marine isotope stage 2, 28.8-15.4 kyr by Zamelczyk, K., Rasmussen, T. L., Husum, K., Godtliebsen, F., Hald, M.

    Published in Paleoceanography (01-01-2014)
    “…We present a high‐resolution record of calcium carbonate preservation alongside the distribution pattern of planktic foraminifera from the Fram Strait. The…”
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  3. 3

    Holocene Antarctic climate variability from ice and marine sediment cores: Insights on ocean–atmosphere interaction by Divine, D.V., Koç, N., Isaksson, E., Nielsen, S., Crosta, X., Godtliebsen, F.

    Published in Quaternary science reviews (2010)
    “…Holocene climate variability in the southeast Atlantic sector of the Southern Ocean and Antarctic is assessed and quantified through integration of available…”
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  4. 4

    High frequency climate variability of the Norwegian Atlantic Current during the early Holocene period and a possible connection to the Gleissberg cycle by Berner, K.S., Koç, N., Godtliebsen, F.

    Published in Holocene (Sevenoaks) (01-03-2010)
    “…A high-resolution sediment core (MD95-2011) from the Vøring Plateau has been studied to document the variability of the surface water conditions during the…”
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    Journal Article
  5. 5

    Decrease of sea ice thickness at Hopen, Barents Sea, during 1966–2007 by Gerland, S., Renner, A. H. H., Godtliebsen, F., Divine, D., Løyning, T. B.

    Published in Geophysical research letters (01-03-2008)
    “…Seasonal fast ice thickness at the island of Hopen (Barents Sea) was monitored over 40 years. Sea ice thickness variability as a climate indicator provides…”
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  6. 6

    Elemental carbon measurements in European Arctic snow packs by Forsström, S., Isaksson, E., Skeie, R. B., Ström, J., Pedersen, C. A., Hudson, S. R., Berntsen, T. K., Lihavainen, H., Godtliebsen, F., Gerland, S.

    “…Black carbon (BC) and other light‐absorbing particles deposited on snow and ice are known to perturb the surface radiative balance. There are few published…”
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  7. 7

    Foraminiferal faunal evidence of twentieth-century Barents Sea warming by Wilson, L.J., Hald, M., Godtliebsen, F.

    Published in Holocene (Sevenoaks) (01-06-2011)
    “…Instrumental monitoring of the climate at high northern latitudes has documented the ongoing warming of the last few decades. Climate modelling has also…”
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  8. 8

    Pairwise scale space comparison of time series with application to climate research by Godtliebsen, F., Holmström, L., Miettinen, A., Erästö, P., Divine, D. V., Koc, N.

    Published in Journal of Geophysical Research: Oceans (01-03-2012)
    “…In this paper, we study how sea surface temperature variations in the North Atlantic and the Norwegian Sea are correlated with the climate in the Northern…”
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  9. 9

    Modelling the regional climate and isotopic composition of Svalbard precipitation using REMOiso: a comparison with available GNIP and ice core data by Divine, D. V, Sjolte, J, Isaksson, E, Meijer, H. A. J, van de Wal, R. S. W, Martma, T, Pohjola, V, Sturm, C, Godtliebsen, F

    Published in Hydrological processes (29-11-2011)
    “…Simulations of a regional (approx. 50 km resolution) circulation model REMOiso with embedded stable water isotope module covering the period 1958‐2001 are…”
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  10. 10

    Deuterium excess record from a small Arctic ice cap by Divine, D. V., Isaksson, E., Pohjola, V., Meijer, H., van de Wal, R. S. W., Martma, T., Moore, J., Sjögren, B., Godtliebsen, F.

    Published in Journal of Geophysical Research (16-10-2008)
    “…In this paper we present a deuterium excess (d) record from an ice core drilled on a small ice cap in Svalbard in 1997. The core site is located at…”
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  11. 11

    Statistical significance of features in digital images by Godtliebsen, F., Marron, J.S., Chaudhuri, Probal

    Published in Image and vision computing (01-11-2004)
    “…This paper develops a methodology for finding which features in a noisy image are strong enough to be distinguished from background noise. It is based on…”
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  12. 12

    Significance in Scale Space for Bivariate Density Estimation by Godtliebsen, F, Marron, J. S, Chaudhuri, Probal

    “…An important problem in the use of density estimation for data analysis is whether or not observed features, such as bumps, are "really there" as opposed to…”
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  13. 13

    Tropical Pacific–high latitude south Atlantic teleconnections as seen in δ18O variability in Antarctic coastal ice cores by Divine, D. V., Isaksson, E., Kaczmarska, M., Godtliebsen, F., Oerter, H., Schlosser, E., Johnsen, S. J., van den Broeke, M., van de Wal, R. S. W.

    “…We use a network of eight ice cores from coastal Dronning Maud Land (DML), Antarctica, to examine the role of the tropical ENSO (El Niño‐Southern Oscillation)…”
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  14. 14

    Edge-Preserving Smoothers for Image Processing by Chu, C. K., Glad, I. K., Godtliebsen, F., Marron, J. S.

    “…Classical smoothers have limited usefulness in image processing, because sharp "edges" tend to be blurred. There is a literature on edge-preserving smoothers,…”
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  15. 15

    Recent developments in statistical time series analysis: Examples of use in climate research by Godtliebsen, F., Olsen, L. R., Winther, J.-G.

    Published in Geophysical research letters (01-06-2003)
    “…In this paper we present some recently developed time series analysis methods. Further, we apply these methods to a suite of climatological and synthetic time…”
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  16. 16

    Bayesian modeling and significant features exploration in wavelet power spectra by Divine, D. V., Godtliebsen, F.

    Published in Nonlinear processes in geophysics (01-01-2007)
    “…This study proposes and justifies a Bayesian approach to modeling wavelet coefficients and finding statistically significant features in wavelet power spectra…”
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  17. 17

    A propagation-separation approach to estimate the autocorrelation in a time-series by Divine, D V, Polzehl, J, Godtliebsen, F

    Published in Nonlinear processes in geophysics (01-01-2008)
    “…The paper presents an approach to estimate parameters of a local stationary AR(1) time series model by maximization of a local likelihood function. The method…”
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  18. 18

    A decadal-scale Holocene sea surface temperature record from the subpolar North Atlantic constructed using diatoms and statistics and its relation to other climate parameters by Berner, K. S., Koç, N., Divine, D., Godtliebsen, F., Moros, M.

    Published in Paleoceanography (01-06-2008)
    “…A sediment core from Reykjanes Ridge has been studied at 10‐ to 50‐year time resolution to document variability of Holocene surface water conditions in the…”
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  19. 19

    Feature extraction and classification of dynamic contrast-enhanced T2-weighted breast image data by Torheim, G., Godtliebsen, F., Axelson, D., Kvistad, K.A., Haraldseth, A., Rinck, P.A.

    Published in IEEE transactions on medical imaging (01-12-2001)
    “…The relatively low specificity of dynamic contrast-enhanced T1-weighted magnetic resonance imaging (MR) imaging of breast cancer has lead several groups to…”
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  20. 20

    Soft thresholding schemes for multiple signal classification algorithm by Acuña, Sebastian, Opstad, Ida S., Godtliebsen, Fred, Ahluwalia, Balpreet Singh, Agarwal, Krishna

    Published in Optics express (09-11-2020)
    “…Multiple signal classification algorithm (MUSICAL) exploits temporal fluctuations in fluorescence intensity to perform super-resolution microscopy by computing…”
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