Institution
Geological Survey of Denmark and Greenland
Facility•Copenhagen, Denmark•
About: Geological Survey of Denmark and Greenland is a facility organization based out in Copenhagen, Denmark. It is known for research contribution in the topics: Greenland ice sheet & Ice sheet. The organization has 844 authors who have published 3152 publications receiving 104706 citations. The organization is also known as: Danmarks og Grønlands Geologiske Undersøgelse.
Topics: Greenland ice sheet, Ice sheet, Holocene, Glacier, Groundwater
Papers published on a yearly basis
Papers
More filters
••
TL;DR: It is concluded that uncertainty assessment is not just something to be added after the completion of the modelling work, but should be seen as a red thread throughout the modelling study starting from the very beginning.
Abstract: A terminology and typology of uncertainty is presented together with a framework for the modelling process, its interaction with the broader water management process and the role of uncertainty at different stages in the modelling processes. Brief reviews have been made of 14 different (partly complementary) methods commonly used in uncertainty assessment and characterisation: data uncertainty engine (DUE), error propagation equations, expert elicitation, extended peer review, inverse modelling (parameter estimation), inverse modelling (predictive uncertainty), Monte Carlo analysis, multiple model simulation, NUSAP, quality assurance, scenario analysis, sensitivity analysis, stakeholder involvement and uncertainty matrix. The applicability of these methods has been mapped according to purpose of application, stage of the modelling process and source and type of uncertainty addressed. It is concluded that uncertainty assessment is not just something to be added after the completion of the modelling work. Instead uncertainty should be seen as a red thread throughout the modelling study starting from the very beginning, where the identification and characterisation of all uncertainty sources should be performed jointly by the modeller, the water manager and the stakeholders.
1,112 citations
••
Stockholm University1, University of New Hampshire2, University of Alaska Fairbanks3, Scott Polar Research Institute4, Canadian Hydrographic Service5, Norwegian Mapping Authority6, University Centre in Svalbard7, Alfred Wegener Institute for Polar and Marine Research8, Science Applications International Corporation9, Johns Hopkins University Applied Physics Laboratory10, University of Barcelona11, University of New Brunswick12, University of Hawaii at Manoa13, University of Bergen14, Geological Survey of Denmark and Greenland15, Geological Survey of Canada16, California Institute of Technology17, British Oceanographic Data Centre18
TL;DR: The International Bathymetric Chart of the Arctic Ocean (IBCAO) released its first gridded bathymetric compilation in 1999 as discussed by the authors, which has since supported a wide range of Arc...
Abstract: The International Bathymetric Chart of the Arctic Ocean (IBCAO) released its first gridded bathymetric compilation in 1999. The IBCAO bathymetric portrayals have since supported a wide range of Arc ...
977 citations
••
TL;DR: The imperative need to boost research and innovation for new and cost-effective treatment technologies, in line with the uptake, mode of action and consequences of each emerging contaminant, is demonstrated.
859 citations
••
TL;DR: In this paper, a set of definitions and methodologies for the assessment of CO2 storage capacity in geological media is presented, including coal beds and deep saline aquifers, and the level of detail and resolution required in the data make reliable and accurate estimation of the storage capacity of these media practical only at the local and site-specific scales.
824 citations
••
University of Leeds1, California Institute of Technology2, University of California, Irvine3, University of Washington4, Durham University5, University of Grenoble6, Goddard Space Flight Center7, University of Bristol8, University of Colorado Boulder9, Geological Survey of Denmark and Greenland10, University at Buffalo11, National Space Institute12, University of South Florida13, University of Texas at Austin14, University College London15, Dresden University of Technology16, Georgia Institute of Technology17, University of Lincoln18, University of Arizona19, Alfred Wegener Institute for Polar and Marine Research20, Technische Universität München21, Danish Meteorological Institute22, Memorial University of Newfoundland23, National Institute of Geophysics and Volcanology24, University of Magallanes25, Bergen University College26, Remote Sensing Center27, Newcastle University28, University of Toronto29, University of Bonn30, Delft University of Technology31, Seoul National University32, University of Urbino33, University of Stuttgart34
TL;DR: This work combines satellite observations of its changing volume, flow and gravitational attraction with modelling of its surface mass balance to show that the Antarctic Ice Sheet lost 2,720 ± 1,390 billion tonnes of ice between 1992 and 2017, which corresponds to an increase in mean sea level of 7.6‚¬3.9 millimetres.
Abstract: The Antarctic Ice Sheet is an important indicator of climate change and driver of sea-level rise. Here we combine satellite observations of its changing volume, flow and gravitational attraction with modelling of its surface mass balance to show that it lost 2,720 ± 1,390 billion tonnes of ice between 1992 and 2017, which corresponds to an increase in mean sea level of 7.6 ± 3.9 millimetres (errors are one standard deviation). Over this period, ocean-driven melting has caused rates of ice loss from West Antarctica to increase from 53 ± 29 billion to 159 ± 26 billion tonnes per year; ice-shelf collapse has increased the rate of ice loss from the Antarctic Peninsula from 7 ± 13 billion to 33 ± 16 billion tonnes per year. We find large variations in and among model estimates of surface mass balance and glacial isostatic adjustment for East Antarctica, with its average rate of mass gain over the period 1992–2017 (5 ± 46 billion tonnes per year) being the least certain.
725 citations
Authors
Showing all 903 results
Name | H-index | Papers | Citations |
---|---|---|---|
Charles P. Gerba | 102 | 692 | 35871 |
Jørgen E. Olesen | 79 | 495 | 25160 |
Søren J. Sørensen | 71 | 383 | 21259 |
Jason E. Box | 62 | 191 | 12146 |
Bo Elberling | 56 | 245 | 11059 |
Jan Heinemeier | 52 | 181 | 8696 |
Poul Løgstrup Bjerg | 52 | 244 | 9590 |
Paul F. Green | 50 | 200 | 13049 |
Philipp Mayer | 50 | 190 | 7867 |
Jens Christian Refsgaard | 48 | 194 | 10917 |
Ole Bennike | 45 | 216 | 6703 |
N. John Anderson | 45 | 102 | 5633 |
Richard H. W. Bradshaw | 44 | 122 | 8066 |
Carsten S. Jacobsen | 44 | 142 | 5525 |
Antoon Kuijpers | 44 | 132 | 5146 |