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  • Journals
  • Data  (1)
  • OceanRep  (1)
  • A Palaeoreanalysis To Understand Decadal Climate Variability; de-duplication; early instrumental; GlobCover; PALAEO-RA; paleoclimatology; Paleometeorology; quality control; Time series  (1)
  • Course of study: MSc Climate Physics  (1)
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  • Journals
  • Data  (1)
  • OceanRep  (1)
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  • 1
    Publication Date: 2024-04-27
    Description: There is a growing need for past weather and climate data to support science and decision-making. This paper describes the compilation and the construction of a global multivariable (air temperature, pressure, precipitation sum, number of precipitation days) monthly instrumental climate database that encompasses a substantial body of the known early instrumental time series. The dataset contains series compiled from existing databases that start before 1890 (though continuing to the present) as well as a large amount of newly rescued data. All series underwent a quality control procedure and subdaily series were processed to monthly mean values. An inventory was compiled, and the collection was deduplicated based on coordinates and mutual correlations. The data are provided in a common format accompanied by the inventory. The collection totals 12452 meteorological records in 118 countries. The data has been merged from 18250 original data files. The data can be used for climate reconstructions and analyses. It is the most comprehensive global monthly climate data set for the preindustrial period.
    Keywords: A Palaeoreanalysis To Understand Decadal Climate Variability; de-duplication; early instrumental; GlobCover; PALAEO-RA; paleoclimatology; Paleometeorology; quality control; Time series
    Type: Dataset
    Format: application/zip, 24 datasets
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-04-04
    Description: Seamounts, such as the Ewing Seamount in the south-east Atlantic, offer a habi- tat for Vulnerable Marine Ecosystems (VMEs) with increased biological activity compared to the surrounding deep sea. This is due to characteristic circulation features, such as a ’Taylor cap’ with a horizontal anticyclonic cell and vertical cir- culation cells that transport nutrient-rich water from the depths to the slopes and summit of the seamount. With the help of ocean model data and Lagrangian simu- lations, favourable conditions for marine species can be observed and quantified. One method for this is the description of the ’retention potential’, the likelihood of particles, for example nutrients or larvae, to remain in a certain area. Experiments with Parcels were carried out to investigate how the different model formulations and resolutions of INALT20 and ROMS-AGRIF affect the particle spreading at the Ewing Seamount. These model configurations differ both in the horizontal and ver- tical resolution, the formulation of the vertical axis and the atmospheric and tidal forcing. With coarser resolution and a vertical axis with levels of constant depth, there is no anticyclonic cell around the summit. Additionally, velocities near the bathymetry are generally low compared to when using terrain-following coordi- nates. As a result, particles are carried away from the seamount at a slower rate, which increases the retention potential. Tides, in turn, reduce this potential, and an atmospheric forcing with interannual variability contributes to greater variabil- ity in the particle distribution.
    Keywords: Course of study: MSc Climate Physics
    Type: Thesis , NonPeerReviewed
    Format: text
    Location Call Number Limitation Availability
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