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  • Dynamic Ocean Topography; File format; File name; File size; Geostrophic Currents; MULT; Multiple investigations; NEG-OCEAN; NordicSeas; North Atlantic; northern Nordic Seas; Ocean Modeling; Principal Component Analysis; Satellite altimetry; Uniform resource locator/link to file; Variations in ocean currents, sea ice concentration, and sea surface temperature along the North-East coast of Greenland  (1)
  • FESOM  (1)
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  • 1
    Publication Date: 2024-02-14
    Description: Increased Greenland ice sheet melting has an impact on global mean and regional sea level rise and the ocean circulation. In this study, we explore whether Greenland melting signatures found in ocean model simulations are visible in observations from radar altimetry, satellite gravimetry and Argo floats. We have included Greenland freshwater flux (GF) in the global Finite‐Element‐Sea ice‐Ocean Model (FESOM) for the years 1993–2016. The reference run is computed by excluding Greenland freshwater input. These experiments are performed on a low resolution (ca. 24 km) and a high resolution (ca. 6 km) eddy‐permitting mesh. For comparison with the model experiments, we use different observational data, such as Argo floats, satellite observations, and reanalyses. We find that surface GF maps into signatures in temperature and salinity down to about 100 m in the surroundings of Greenland. The simulated melting signatures are particularly visible in steric heights in Baffin Bay and Davis Strait. Here, we find an improvement of the mean square error of up to 30% when including GF. For the Nordic part of the Nordic Seas, however, we find no improvement when including GF. We compare steric heights with reanalysis data and a new setup of the inversion method from gravimetric and altimetric satellite data. We cannot confirm that the GF signatures on variables such as temperature and salinity are visible in the observations on the time scales considered. However, we find that increased model resolution often causes larger improvements than occur due to including the simulated melting effect.
    Description: Plain Language Summary: In recent years, Greenland's freshwater contribution to the ocean has increased due to the accelerated melting of its ice sheet and glaciers. In this study, we investigate the importance of this melting in reproducing the observed characteristics of the northern part of the North Atlantic Ocean in a numerical ocean model. To do that, we compare the results of two model simulations, one with and one without Greenland melt, with in situ observations or data from satellites. The inclusion of Greenland melt results in a better model representation of the ocean in terms of salinity, temperature, and sea level anomalies, especially in Baffin Bay on the west side of Greenland. We also discuss the role of a higher model resolution on the simulations in reproducing observations. Our study shows that progress in modeling how Greenland melt affects the nearby ocean is best achieved by improving model resolution so that small‐scale processes can be well represented.
    Description: Key Points: Greenland freshwater flow yields distinct signatures in temperature and salinity within the upper 100 m. Steric heights and sea level anomalies are sensitive to the Greenland freshwater intrusion especially in Baffin Bay. Increasing the spatial model resolution improves the agreement with observations more than if only Greenland meltwater is included.
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Description: https://doi.org/10.5281/zenodo.6243822
    Keywords: ddc:551.46 ; ocean modeling ; FESOM ; Greenland freshwater discharge ; ocean reanalysis ; altimetry
    Language: English
    Type: doc-type:article
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  • 2
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    In:  Technische Universität München | Supplement to: Müller, Felix L; Dettmering, Denise; Wekerle, Claudia; Schwatke, Christian; Passaro, Marcello; Bosch, Wolfgang; Seitz, Florian (2019): Geostrophic currents in the northern Nordic Seas from a combination of multi-mission satellite altimetry and ocean modeling. Earth System Science Data, 11(4), 1765-1781, https://doi.org/10.5194/essd-11-1765-2019
    Publication Date: 2023-10-28
    Description: The data set contains combined Dynamic Ocean Topography (DOT) and geostrophic velocity components for the northern Nordic Seas between 1995 and 2012. It was produced in the frame of the DFG project NEG-OCEAN: Variations in ocean currents, sea-ice concentration, and sea surface temperature along the North-East coast of Greenland. The data is provided as Format 4 Classic NetCDF files on an unstructured triangular, Finite Element formulated grid. The data are characterized by daily sampling between 18.5.1995 and 3.4.2012 including data gaps and a consistent spatial resolution up to 1 km. More details can be found in the related User Manual. The dataset is based on Dynamic Ocean Topography (DOT) elevations from a combination of along-track satellite altimetry measurements with simulated differential water heights from the Finite Element Sea-ice Ocean Model Version 1.4 (FESOM, Wekerle et al., 2017, doi:10.1002/2017JC012974). The combination approach is described in detail in the related publication. The altimetry data include observations of the ESA satellites Envisat and ERS-2. The high-frequent altimetry range observations are retracked using the ALES+ algorithm (Passaro et al., 2018, doi:10.1016/j.rse.2018.02.074) and are classified into open-water/sea-ice conditions by applying a classification algorithm (Müller et al., 2017, doi:10.3390/rs9060551). All applied atmospheric and geophysical altimetry corrections are listed in Müller et al., 2019 (doi:10.5194/tc-13-611-2019).
    Keywords: Dynamic Ocean Topography; File format; File name; File size; Geostrophic Currents; MULT; Multiple investigations; NEG-OCEAN; NordicSeas; North Atlantic; northern Nordic Seas; Ocean Modeling; Principal Component Analysis; Satellite altimetry; Uniform resource locator/link to file; Variations in ocean currents, sea ice concentration, and sea surface temperature along the North-East coast of Greenland
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
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