Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3399-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-13-3399-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
14 Jul 2021
Data description paper |
| 14 Jul 2021
| 14 Jul 2021
The last interglacial sea-level record of Aotearoa New Zealand
MARUM – Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany
Alastair J. H. Clement
School of Agriculture and Environment, Massey University, Palmerston North, Aotearoa New Zealand
Nathan R. Jankowski
Centre for Archeological Science, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
Australian Research Council (ARC) Centre of Excellence for Australian Biodiversity and Heritage, University of Wollongong, Wollongong, Australia
Paolo Stocchi
Coastal Systems Department, NIOZ, Royal Netherlands Institute for Sea Research, and Utrecht University, P.O. Box 59 1790 AB Den Burg (Texel), the Netherlands
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Alessio Rovere, Deirdre D. Ryan, Matteo Vacchi, Andrea Dutton, Alexander R. Simms, and Colin V. Murray-Wallace
Earth Syst. Sci. Data, 15, 1–23, https://doi.org/10.5194/essd-15-1-2023, https://doi.org/10.5194/essd-15-1-2023, 2023
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In this work, we describe WALIS, the World Atlas of Last Interglacial Shorelines. WALIS is a sea-level database that includes sea-level proxies and samples dated to marine isotope stage 5 (~ 80 to 130 ka). The database was built through topical data compilations included in a special issue in this journal.
Karla Rubio-Sandoval, Alessio Rovere, Ciro Cerrone, Paolo Stocchi, Thomas Lorscheid, Thomas Felis, Ann-Kathrin Petersen, and Deirdre D. Ryan
Earth Syst. Sci. Data, 13, 4819–4845, https://doi.org/10.5194/essd-13-4819-2021, https://doi.org/10.5194/essd-13-4819-2021, 2021
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The Last Interglacial (LIG) is a warm period characterized by a higher-than-present sea level. For this reason, scientists use it as an analog for future climatic conditions. In this paper, we use the World Atlas of Last Interglacial Shorelines database to standardize LIG sea-level data along the coasts of the western Atlantic and mainland Caribbean, identifying 55 unique sea-level indicators.
Evan J. Gowan, Alessio Rovere, Deirdre D. Ryan, Sebastian Richiano, Alejandro Montes, Marta Pappalardo, and Marina L. Aguirre
Earth Syst. Sci. Data, 13, 171–197, https://doi.org/10.5194/essd-13-171-2021, https://doi.org/10.5194/essd-13-171-2021, 2021
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During the last interglacial (130 to 115 ka), global sea level was higher than present. The World Atlas of Last Interglacial Shorelines (WALIS) has been created to document this. In this paper, we have compiled data for southeastern South America. There are landforms that indicate that sea level was 5 to 25 m higher than present during this time period. However, the quality of these data is hampered by limitations on elevation measurements, chronology, and geological descriptions.
Patrick Boyden, Paolo Stocchi, and Alessio Rovere
Earth Surf. Dynam., 11, 917–931, https://doi.org/10.5194/esurf-11-917-2023, https://doi.org/10.5194/esurf-11-917-2023, 2023
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Preservation bias often hampers the extraction of sea level changes from the stratigraphic record. In this contribution, we use a forward stratigraphic model to build three synthetic subtropical fringing reefs for a site in southwestern Madagascar (Indian Ocean). Each of the three synthetic reefs represents a different ice sheet melt scenario for the Pleistocene. We then evaluate each resultant reef sequence against the observed stratigraphic record.
Alessio Rovere, Deirdre D. Ryan, Matteo Vacchi, Andrea Dutton, Alexander R. Simms, and Colin V. Murray-Wallace
Earth Syst. Sci. Data, 15, 1–23, https://doi.org/10.5194/essd-15-1-2023, https://doi.org/10.5194/essd-15-1-2023, 2023
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In this work, we describe WALIS, the World Atlas of Last Interglacial Shorelines. WALIS is a sea-level database that includes sea-level proxies and samples dated to marine isotope stage 5 (~ 80 to 130 ka). The database was built through topical data compilations included in a special issue in this journal.
Molly O. Patterson, Richard H. Levy, Denise K. Kulhanek, Tina van de Flierdt, Huw Horgan, Gavin B. Dunbar, Timothy R. Naish, Jeanine Ash, Alex Pyne, Darcy Mandeno, Paul Winberry, David M. Harwood, Fabio Florindo, Francisco J. Jimenez-Espejo, Andreas Läufer, Kyu-Cheul Yoo, Osamu Seki, Paolo Stocchi, Johann P. Klages, Jae Il Lee, Florence Colleoni, Yusuke Suganuma, Edward Gasson, Christian Ohneiser, José-Abel Flores, David Try, Rachel Kirkman, Daleen Koch, and the SWAIS 2C Science Team
Sci. Dril., 30, 101–112, https://doi.org/10.5194/sd-30-101-2022, https://doi.org/10.5194/sd-30-101-2022, 2022
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How much of the West Antarctic Ice Sheet will melt and how quickly it will happen when average global temperatures exceed 2 °C is currently unknown. Given the far-reaching and international consequences of Antarctica’s future contribution to global sea level rise, the SWAIS 2C Project was developed in order to better forecast the size and timing of future changes.
Karla Rubio-Sandoval, Alessio Rovere, Ciro Cerrone, Paolo Stocchi, Thomas Lorscheid, Thomas Felis, Ann-Kathrin Petersen, and Deirdre D. Ryan
Earth Syst. Sci. Data, 13, 4819–4845, https://doi.org/10.5194/essd-13-4819-2021, https://doi.org/10.5194/essd-13-4819-2021, 2021
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The Last Interglacial (LIG) is a warm period characterized by a higher-than-present sea level. For this reason, scientists use it as an analog for future climatic conditions. In this paper, we use the World Atlas of Last Interglacial Shorelines database to standardize LIG sea-level data along the coasts of the western Atlantic and mainland Caribbean, identifying 55 unique sea-level indicators.
Evan J. Gowan, Alessio Rovere, Deirdre D. Ryan, Sebastian Richiano, Alejandro Montes, Marta Pappalardo, and Marina L. Aguirre
Earth Syst. Sci. Data, 13, 171–197, https://doi.org/10.5194/essd-13-171-2021, https://doi.org/10.5194/essd-13-171-2021, 2021
Short summary
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During the last interglacial (130 to 115 ka), global sea level was higher than present. The World Atlas of Last Interglacial Shorelines (WALIS) has been created to document this. In this paper, we have compiled data for southeastern South America. There are landforms that indicate that sea level was 5 to 25 m higher than present during this time period. However, the quality of these data is hampered by limitations on elevation measurements, chronology, and geological descriptions.
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Clim. Past, 16, 1187–1205, https://doi.org/10.5194/cp-16-1187-2020, https://doi.org/10.5194/cp-16-1187-2020, 2020
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This paper presents 24 new sea-level index points in the Spermonde Archipelago, Indonesia, and the reconstruction of the local Holocene relative sea-level history in combination with glacial isostasic adjustment models. We further show the importance of surveying the height of living coral microatolls as modern analogs to the fossil ones. Other interesting aspects are the potential subsidence of one of the densely populated islands, and we present eight samples that are dated to the Common Era.
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Beach-face slope dataset for Australia
Last interglacial sea-level proxies in the Korean Peninsula
A review of last interglacial sea-level proxies in the western Atlantic and southwestern Caribbean, from Brazil to Honduras
Last Interglacial sea-level proxies in the western Mediterranean
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The GIK-Archive of sediment core radiographs with documentation
Rita González-Villanueva, Jesús Soriano-González, Irene Alejo, Francisco Criado-Sudau, Theocharis Plomaritis, Àngels Fernàndez-Mora, Javier Benavente, Laura Del Río, Miguel Ángel Nombela, and Elena Sánchez-García
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Much effort is made to project monsoon changes by reconstructing the past. The stable oxygen isotopic ratio of marine calcareous organisms is frequently used to reconstruct past monsoons. Here, we use the published and new stable oxygen isotopic data to demonstrate a diagenetic effect and a strong salinity influence on the oxygen isotopic ratio of foraminifera in the northern Indian Ocean. We also provide updated calibration equations to deduce monsoons from the oxygen isotopic ratio.
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Woo Hun Ryang, Alexander R. Simms, Hyun Ho Yoon, Seung Soo Chun, and Gee Soo Kong
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This work is part of the World Atlas of Last Interglacial Shorelines (WALIS), whose aim is to construct a database of Last Interglacial (LIG) relative sea-level (RSL) indicators from across the globe. This paper reviews the LIG sea-level constraints from the Korean Peninsula entered into the online WALIS database. This paper including the dataset will contribute to reconstructing global LIG sea-level changes and regional LIG RSL in the Korean Peninsula.
Karla Rubio-Sandoval, Alessio Rovere, Ciro Cerrone, Paolo Stocchi, Thomas Lorscheid, Thomas Felis, Ann-Kathrin Petersen, and Deirdre D. Ryan
Earth Syst. Sci. Data, 13, 4819–4845, https://doi.org/10.5194/essd-13-4819-2021, https://doi.org/10.5194/essd-13-4819-2021, 2021
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The Last Interglacial (LIG) is a warm period characterized by a higher-than-present sea level. For this reason, scientists use it as an analog for future climatic conditions. In this paper, we use the World Atlas of Last Interglacial Shorelines database to standardize LIG sea-level data along the coasts of the western Atlantic and mainland Caribbean, identifying 55 unique sea-level indicators.
Ciro Cerrone, Matteo Vacchi, Alessandro Fontana, and Alessio Rovere
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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.
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.
Panagiotis Athanasiou, Ap van Dongeren, Alessio Giardino, Michalis Vousdoukas, Sandra Gaytan-Aguilar, and Roshanka Ranasinghe
Earth Syst. Sci. Data, 11, 1515–1529, https://doi.org/10.5194/essd-11-1515-2019, https://doi.org/10.5194/essd-11-1515-2019, 2019
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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.
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
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.
Studies of ancient sea level and coastlines help scientists understand how coasts will respond...
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