Articles | Volume 11, issue 4
https://doi.org/10.5194/essd-11-1515-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-1515-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
02 Oct 2019
Data description paper |
| 02 Oct 2019
| 02 Oct 2019
Global distribution of nearshore slopes with implications for coastal retreat
Panagiotis Athanasiou
CORRESPONDING AUTHOR
Deltares, Delft, the Netherlands
Water Engineering and Management, Faculty of Engineering
Technology, University of Twente, Enschede, the Netherlands
Ap van Dongeren
Deltares, Delft, the Netherlands
IHE Delft Institute for Water Education, Delft, the Netherlands
Alessio Giardino
Deltares, Delft, the Netherlands
Michalis Vousdoukas
European Commission, Joint Research Centre (JRC), Ispra, Italy
Department of Marine Sciences, University of the Aegean, Mytilene,
Greece
Sandra Gaytan-Aguilar
Deltares, Delft, the Netherlands
Roshanka Ranasinghe
IHE Delft Institute for Water Education, Delft, the Netherlands
Water Engineering and Management, Faculty of Engineering
Technology, University of Twente, Enschede, the Netherlands
Deltares, Delft, the Netherlands
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Lorenzo Mentaschi, Michalis Vousdoukas, Evangelos Voukouvalas, Ludovica Sartini, Luc Feyen, Giovanni Besio, and Lorenzo Alfieri
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studying the intensity and frequency of extreme events.
We introduce in this paper a new methodology
for the study of variable extremes, which consists in detecting
the pattern of variability of a time series, and applying these patterns
to the analysis of the extreme events.
This technique comes with advantages with respect to the previous ones
in terms of accuracy, simplicity, and robustness.
Michalis I. Vousdoukas, Evangelos Voukouvalas, Lorenzo Mentaschi, Francesco Dottori, Alessio Giardino, Dimitrios Bouziotas, Alessandra Bianchi, Peter Salamon, and Luc Feyen
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Ciro Cerrone, Matteo Vacchi, Alessandro Fontana, and Alessio Rovere
Earth Syst. Sci. Data, 13, 4485–4527, https://doi.org/10.5194/essd-13-4485-2021, https://doi.org/10.5194/essd-13-4485-2021, 2021
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The paper is a critical review and standardization of 199 published scientific papers to compile a Last Interglacial sea-level database for the Western Mediterranean sector. In the database, 396 sea-level data points associated with 401 dated samples are included. The relative sea-level data points and associated ages have been ranked on a 0 to 5 scale score.
Kathrine Maxwell, Hildegard Westphal, and Alessio Rovere
Earth Syst. Sci. Data, 13, 4313–4329, https://doi.org/10.5194/essd-13-4313-2021, https://doi.org/10.5194/essd-13-4313-2021, 2021
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Marine Isotope Stage 5e (MIS 5e; the Last Interglacial, 125 ka) represents a period in the Earth’s geologic history when sea level was higher than present. In this paper, a standardized database was produced after screening and reviewing LIG sea-level data from published papers in Southeast Asia. We identified 43 unique sea-level indicators (42 from coral reef terraces and 1 from a tidal notch) and compiled the data in the World Atlas of Last Interglacial Shorelines (WALIS).
Schmitty B. Thompson and Jessica R. Creveling
Earth Syst. Sci. Data, 13, 3467–3490, https://doi.org/10.5194/essd-13-3467-2021, https://doi.org/10.5194/essd-13-3467-2021, 2021
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The elevations of geological indicators of past sea level inform paleoclimate reconstructions of interglacial intervals, including changes in ice volume and equivalent sea level rise and fall. In this review article, we summarize previously reported elevations and chronologies of a global set of ~80 000- and ~100 000-year-old interglacial shorelines and compile these in the open-source World Atlas of Last Interglacial Shorelines (WALIS) database for further paleoclimate analysis.
Deirdre D. Ryan, Alastair J. H. Clement, Nathan R. Jankowski, and Paolo Stocchi
Earth Syst. Sci. Data, 13, 3399–3437, https://doi.org/10.5194/essd-13-3399-2021, https://doi.org/10.5194/essd-13-3399-2021, 2021
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Studies of ancient sea level and coastlines help scientists understand how coasts will respond to future sea-level rise. This work standardized the published records of sea level around New Zealand correlated with sea-level peaks within the Last Interglacial (~128 000–73 000 years ago) using the World Atlas of Last Interglacial Shorelines (WALIS) database. New Zealand has the potential to provide an important sea-level record with more detailed descriptions and improved age constraint.
Alexander R. Simms
Earth Syst. Sci. Data, 13, 1419–1439, https://doi.org/10.5194/essd-13-1419-2021, https://doi.org/10.5194/essd-13-1419-2021, 2021
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This study is part of a larger community effort to catalogue the elevation of sea levels approximately 120 000 years ago – a time period when global temperatures were generally warmer than they are today. For this specific study I summarized the work of other scientists who had determined the age and elevations of ancient shorelines and coral reefs from across the Gulf of Mexico and Yucatán Peninsula.
Markus Diesing
Earth Syst. Sci. Data, 12, 3367–3381, https://doi.org/10.5194/essd-12-3367-2020, https://doi.org/10.5194/essd-12-3367-2020, 2020
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A new digital map of the sediment types covering the bottom of the ocean has been created. Direct observations of the seafloor sediments are few and far apart. Therefore, machine learning was used to fill those gaps between observations. This was possible because known relationships between sediment types and the environment in which they form (e.g. water depth, temperature, and salt content) could be exploited. The results are expected to provide important information for marine research.
Bram C. van Prooijen, Marion F. S. Tissier, Floris P. de Wit, Stuart G. Pearson, Laura B. Brakenhoff, Marcel C. G. van Maarseveen, Maarten van der Vegt, Jan-Willem Mol, Frank Kok, Harriette Holzhauer, Jebbe J. van der Werf, Tommer Vermaas, Matthijs Gawehn, Bart Grasmeijer, Edwin P. L. Elias, Pieter Koen Tonnon, Giorgio Santinelli, José A. A. Antolínez, Paul Lodewijk M. de Vet, Ad J. H. M. Reniers, Zheng Bing Wang, Cornelis den Heijer, Carola van Gelder-Maas, Rinse J. A. Wilmink, Cor A. Schipper, and Harry de Looff
Earth Syst. Sci. Data, 12, 2775–2786, https://doi.org/10.5194/essd-12-2775-2020, https://doi.org/10.5194/essd-12-2775-2020, 2020
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To protect the Dutch coastal zone, sand is nourished and disposed at strategic locations. Simple questions like where, how, how much and when to nourish the sand are not straightforward to answer. This is especially the case around the Wadden Sea islands where sediment transport pathways are complicated. Therefore, a large-scale field campaign has been carried out on the seaward side of Ameland Inlet. Sediment transport, hydrodynamics, morphology and fauna in the bed were measured.
Walter Brambilla, Alessandro Conforti, Simone Simeone, Paola Carrara, Simone Lanucara, and Giovanni De Falco
Earth Syst. Sci. Data, 11, 515–527, https://doi.org/10.5194/essd-11-515-2019, https://doi.org/10.5194/essd-11-515-2019, 2019
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The expected sea level rise by the year 2100 will determine an adaptation of the whole coastal system and the land retreat of the shoreline. Future scenarios coupled with the improvement of mining technologies will favour increased exploitation of sand deposits for nourishment. This work summarises a large data set of geophysical and sedimentological data that maps the spatial features of submerged sand deposits and is a useful tool in future climate change scenarios.
Ana Trobec, Martina Busetti, Fabrizio Zgur, Luca Baradello, Alberto Babich, Andrea Cova, Emiliano Gordini, Roberto Romeo, Isabella Tomini, Sašo Poglajen, Paolo Diviacco, and Marko Vrabec
Earth Syst. Sci. Data, 10, 1077–1092, https://doi.org/10.5194/essd-10-1077-2018, https://doi.org/10.5194/essd-10-1077-2018, 2018
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Following the last glacial period the sea level started rising rapidly. The sea started entering the Gulf of Trieste approximately 10000 years ago and since then marine Holocene sediment has been depositing. We wanted to understand how thick this sediment is, so we used modern scientific equipment which lets us determine the depth of the seafloor and the sediment below. The sediment is thickest in the SE part of the gulf (approx. 5 m). In the other parts it is very thin, except near the coast.
Hannes Grobe, Kyaw Winn, Friedrich Werner, Amelie Driemel, Stefanie Schumacher, and Rainer Sieger
Earth Syst. Sci. Data, 9, 969–976, https://doi.org/10.5194/essd-9-969-2017, https://doi.org/10.5194/essd-9-969-2017, 2017
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A unique archive of radiographs from ocean floor sediments was produced during five decades of marine geological work at the Geological-Paleontological Institute, Kiel University. The content of 18 500 images was digitized, uploaded to the data library PANGAEA, georeferenced and completed with metadata. With this publication the images are made available to the scientific community under a CC-BY licence, which is open-access and citable with the persistent identifier https://doi.org/10.1594/PANGAEA.854841.
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Short summary
This dataset provides the spatial distribution of nearshore slopes at a resolution of 1 km along the global coastline. The calculation was based on available global topo-bathymetric datasets and ocean wave reanalysis. The calculated slopes show skill in capturing the spatial variability of the nearshore slopes when compared against local observations. The importance of this variability is presented with a global coastal retreat assessment for an arbitrary sea level rise scenario.
This dataset provides the spatial distribution of nearshore slopes at a resolution of 1 km along...
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