Articles | Volume 12, issue 4
https://doi.org/10.5194/essd-12-2775-2020
© Author(s) 2020. 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-12-2775-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurements of hydrodynamics, sediment, morphology and benthos on Ameland ebb-tidal delta and lower shoreface
Bram C. van Prooijen
CORRESPONDING AUTHOR
Department of Hydraulic Engineering, Delft University of Technology, Delft, the Netherlands
Marion F. S. Tissier
Department of Hydraulic Engineering, Delft University of Technology, Delft, the Netherlands
Floris P. de Wit
Department of Hydraulic Engineering, Delft University of Technology, Delft, the Netherlands
Stuart G. Pearson
Department of Hydraulic Engineering, Delft University of Technology, Delft, the Netherlands
Deltares, Delft, the Netherlands
Laura B. Brakenhoff
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Marcel C. G. van Maarseveen
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Maarten van der Vegt
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Jan-Willem Mol
Rijkswaterstaat, Lelystad, the Netherlands
Frank Kok
Rijkswaterstaat, Lelystad, the Netherlands
Harriette Holzhauer
Department of Water Engineering and Management, University of Twente, Enschede, the Netherlands
Deltares, Delft, the Netherlands
Jebbe J. van der Werf
Deltares, Delft, the Netherlands
Department of Water Engineering and Management, University of Twente, Enschede, the Netherlands
Tommer Vermaas
Deltares, Delft, the Netherlands
Matthijs Gawehn
Deltares, Delft, the Netherlands
Bart Grasmeijer
Deltares, Delft, the Netherlands
Edwin P. L. Elias
Deltares, Delft, the Netherlands
Pieter Koen Tonnon
Deltares, Delft, the Netherlands
Giorgio Santinelli
Deltares, Delft, the Netherlands
José A. A. Antolínez
Department of Hydraulic Engineering, Delft University of Technology, Delft, the Netherlands
Paul Lodewijk M. de Vet
Department of Hydraulic Engineering, Delft University of Technology, Delft, the Netherlands
Deltares, Delft, the Netherlands
Ad J. H. M. Reniers
Department of Hydraulic Engineering, Delft University of Technology, Delft, the Netherlands
Zheng Bing Wang
Department of Hydraulic Engineering, Delft University of Technology, Delft, the Netherlands
Deltares, Delft, the Netherlands
Cornelis den Heijer
Department of Hydraulic Engineering, Delft University of Technology, Delft, the Netherlands
Data2day, Delft, the Netherlands
Carola van Gelder-Maas
Rijkswaterstaat, Lelystad, the Netherlands
Rinse J. A. Wilmink
Rijkswaterstaat, Lelystad, the Netherlands
Cor A. Schipper
Rijkswaterstaat, Lelystad, the Netherlands
Harry de Looff
Rijkswaterstaat, Lelystad, the Netherlands
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Üwe S. N. Best, Mick van der Wegen, Jasper Dijkstra, Johan Reyns, Bram C. van Prooijen, and Dano Roelvink
Earth Syst. Sci. Data, 14, 2445–2462, https://doi.org/10.5194/essd-14-2445-2022, https://doi.org/10.5194/essd-14-2445-2022, 2022
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The combination of seawalls and vegetation may be the key to Guyana's survival against rising water levels; however knowledge about the system behaviour and use of vegetation is inadequate. This paper comprises the first dataset since the 1970s along the Guyana coastline. Instruments were deployed to capture data on the water levels, waves and sediment locally. Data revealed the ways in which sediment is transported and deposited, as well as the wave damping of the mangrove–mudflat system.
Robert McCall, Curt Storlazzi, Floortje Roelvink, Stuart G. Pearson, Roel de Goede, and José A. Á. Antolínez
Nat. Hazards Earth Syst. Sci., 24, 3597–3625, https://doi.org/10.5194/nhess-24-3597-2024, https://doi.org/10.5194/nhess-24-3597-2024, 2024
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Accurate predictions of wave-driven flooding are essential to manage risk on low-lying, reef-lined coasts. Models to provide this information are, however, computationally expensive. We present and validate a modeling system that simulates flood drivers on diverse and complex reef-lined coasts as competently as a full-physics model but at a fraction of the computational cost to run. This development paves the way for application in large-scale early-warning systems and flood risk assessments.
Lucas Terlinden-Ruhl, Anaïs Couasnon, Dirk Eilander, Gijs G. Hendrickx, Patricia Mares-Nasarre, and José A. Á. Antolínez
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-196, https://doi.org/10.5194/nhess-2024-196, 2024
Preprint under review for NHESS
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This study develops a conceptual framework that uses active learning to accelerate compound flood risk assessments. A case study of Charleston County shows that the framework achieves faster and more accurate risk quantifications compared to the state-of-the-art. This win-win allows for increasing the number of flooding parameters, which results in an 11.6 % difference in the expected annual damages. Therefore, this framework allows for more comprehensive compound flood risk assessments.
Kees Nederhoff, Maarten van Ormondt, Jay Veeramony, Ap van Dongeren, José Antonio Álvarez Antolínez, Tim Leijnse, and Dano Roelvink
Geosci. Model Dev., 17, 1789–1811, https://doi.org/10.5194/gmd-17-1789-2024, https://doi.org/10.5194/gmd-17-1789-2024, 2024
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Forecasting tropical cyclones and their flooding impact is challenging. Our research introduces the Tropical Cyclone Forecasting Framework (TC-FF), enhancing cyclone predictions despite uncertainties. TC-FF generates global wind and flood scenarios, valuable even in data-limited regions. Applied to cases like Cyclone Idai, it showcases potential in bettering disaster preparation, marking progress in handling cyclone threats.
Marlies A. van der Lugt, Jorn W. Bosma, Matthieu A. de Schipper, Timothy D. Price, Marcel C. G. van Maarseveen, Pieter van der Gaag, Gerben Ruessink, Ad J. H. M. Reniers, and Stefan G. J. Aarninkhof
Earth Syst. Sci. Data, 16, 903–918, https://doi.org/10.5194/essd-16-903-2024, https://doi.org/10.5194/essd-16-903-2024, 2024
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A 6-week field campaign was carried out at a sheltered sandy beach on Texel along the Dutch Wadden Sea with the aim of gaining new insights into the driving processes behind sheltered beach morphodynamics. Detailed measurements of the local hydrodynamics, bed-level changes and sediment composition were collected. The morphological evolution on this sheltered site is the result of the subtle interplay between waves, currents and bed composition.
Dirk S. van Maren, Christian Maushake, Jan-Willem Mol, Daan van Keulen, Jens Jürges, Julia Vroom, Henk Schuttelaars, Theo Gerkema, Kirstin Schulz, Thomas H. Badewien, Michaela Gerriets, Andreas Engels, Andreas Wurpts, Dennis Oberrecht, Andrew J. Manning, Taylor Bailey, Lauren Ross, Volker Mohrholz, Dante M. L. Horemans, Marius Becker, Dirk Post, Charlotte Schmidt, and Petra J. T. Dankers
Earth Syst. Sci. Data, 15, 53–73, https://doi.org/10.5194/essd-15-53-2023, https://doi.org/10.5194/essd-15-53-2023, 2023
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This paper reports on the main findings of a large measurement campaign aiming to better understand how an exposed estuary (the Ems Estuary on the Dutch–German border) interacts with a tidal river (the lower Ems River). Eight simultaneously deployed ships measuring a tidal cycle and 10 moorings collecting data throughout a spring–neap tidal cycle have produced a dataset providing valuable insight into processes determining exchange of water and sediment between the two systems.
D. Hulskemper, K. Anders, J. A. Á. Antolínez, M. Kuschnerus, B. Höfle, and R. Lindenbergh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W2-2022, 53–60, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-53-2022, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-53-2022, 2022
Panagiotis Athanasiou, Ap van Dongeren, Alessio Giardino, Michalis Vousdoukas, Jose A. A. Antolinez, and Roshanka Ranasinghe
Nat. Hazards Earth Syst. Sci., 22, 3897–3915, https://doi.org/10.5194/nhess-22-3897-2022, https://doi.org/10.5194/nhess-22-3897-2022, 2022
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Sandy dunes protect the hinterland from coastal flooding during storms. Thus, models that can efficiently predict dune erosion are critical for coastal zone management and early warning systems. Here we develop such a model for the Dutch coast based on machine learning techniques, allowing for dune erosion estimations in a matter of seconds relative to available computationally expensive models. Validation of the model against benchmark data and observations shows good agreement.
Üwe S. N. Best, Mick van der Wegen, Jasper Dijkstra, Johan Reyns, Bram C. van Prooijen, and Dano Roelvink
Earth Syst. Sci. Data, 14, 2445–2462, https://doi.org/10.5194/essd-14-2445-2022, https://doi.org/10.5194/essd-14-2445-2022, 2022
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The combination of seawalls and vegetation may be the key to Guyana's survival against rising water levels; however knowledge about the system behaviour and use of vegetation is inadequate. This paper comprises the first dataset since the 1970s along the Guyana coastline. Instruments were deployed to capture data on the water levels, waves and sediment locally. Data revealed the ways in which sediment is transported and deposited, as well as the wave damping of the mangrove–mudflat system.
Leicheng Guo, Chunyan Zhu, Huayang Cai, Zheng Bing Wang, Ian Townend, and Qing He
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-75, https://doi.org/10.5194/hess-2021-75, 2021
Revised manuscript not accepted
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Overtide is a shallow water tidal component and its interaction with astronomical tides induces tidal wave deformation, which is an important process that controls sediment transport. We use a numerical tidal model to examine overtide changes in estuaries under varying river discharges and find spatially nonlinear changes and the threshold of an intermediate river that benefits maximal overtide generation. The findings inform management of sediment transport and flooding risk in estuaries.
Matteo U. Parodi, Alessio Giardino, Ap van Dongeren, Stuart G. Pearson, Jeremy D. Bricker, and Ad J. H. M. Reniers
Nat. Hazards Earth Syst. Sci., 20, 2397–2414, https://doi.org/10.5194/nhess-20-2397-2020, https://doi.org/10.5194/nhess-20-2397-2020, 2020
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We investigate sources of uncertainty in coastal flood risk assessment in São Tomé and Príncipe, a small island developing state. We find that, for the present-day scenario, uncertainty from depth damage functions and digital elevation models can be more significant than that related to the estimation of significant wave height or storm surge level. For future scenarios (year 2100), sea level rise prediction becomes the input with the strongest impact on coastal flood damage estimate.
Fabrice Ardhuin, Yevgueny Aksenov, Alvise Benetazzo, Laurent Bertino, Peter Brandt, Eric Caubet, Bertrand Chapron, Fabrice Collard, Sophie Cravatte, Jean-Marc Delouis, Frederic Dias, Gérald Dibarboure, Lucile Gaultier, Johnny Johannessen, Anton Korosov, Georgy Manucharyan, Dimitris Menemenlis, Melisa Menendez, Goulven Monnier, Alexis Mouche, Frédéric Nouguier, George Nurser, Pierre Rampal, Ad Reniers, Ernesto Rodriguez, Justin Stopa, Céline Tison, Clément Ubelmann, Erik van Sebille, and Jiping Xie
Ocean Sci., 14, 337–354, https://doi.org/10.5194/os-14-337-2018, https://doi.org/10.5194/os-14-337-2018, 2018
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Maarten G. Kleinhans, Maarten van der Vegt, Jasper Leuven, Lisanne Braat, Henk Markies, Arjan Simmelink, Chris Roosendaal, Arjan van Eijk, Paul Vrijbergen, and Marcel van Maarseveen
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Creating estuaries in the laboratory has been challenging. When the ebb and flood currents are driven by ebb and flood in the sea, they are too weak to move sand. Here we describe how the periodic tilting of an entire experimental set-up leads to ebb and flood currents with similar behaviour as in nature and with enough strength to move sand. This means that this novel set-up now allows for the creation of estuarine landscapes in experiments.
W. Li, Z. B. Wang, D. S. van Maren, H. J. de Vriend, and B. S. Wu
Adv. Geosci., 39, 15–19, https://doi.org/10.5194/adgeo-39-15-2014, https://doi.org/10.5194/adgeo-39-15-2014, 2014
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The SDUST2022GRA global marine gravity anomalies recovered from radar and laser altimeter data: contribution of ICESat-2 laser altimetry
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Demersal fishery Impacts on Sedimentary Organic Matter (DISOM): a global harmonized database of studies assessing the impacts of demersal fisheries on sediment biogeochemistry
Predictive mapping of organic carbon stocks in surficial sediments of the Canadian continental margin
SCShores: a comprehensive shoreline dataset of Spanish sandy beaches from a citizen-science monitoring programme
The Modern Ocean Sediment Archive and Inventory of Carbon (MOSAIC): version 2.0
Large freshwater-influx-induced salinity gradient and diagenetic changes in the northern Indian Ocean dominate the stable oxygen isotopic variation in Globigerinoides ruber
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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
A standardized database of Last Interglacial (MIS 5e) sea-level indicators in Southeast Asia
A global database of marine isotope substage 5a and 5c marine terraces and paleoshoreline indicators
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Last interglacial sea levels within the Gulf of Mexico and northwestern Caribbean Sea
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Global distribution of nearshore slopes with implications for coastal retreat
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Thickness of marine Holocene sediment in the Gulf of Trieste (northern Adriatic Sea)
The GIK-Archive of sediment core radiographs with documentation
Zhen Li, Jinyun Guo, Chengcheng Zhu, Xin Liu, Cheinway Hwang, Sergey Lebedev, Xiaotao Chang, Anatoly Soloviev, and Heping Sun
Earth Syst. Sci. Data, 16, 4119–4135, https://doi.org/10.5194/essd-16-4119-2024, https://doi.org/10.5194/essd-16-4119-2024, 2024
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A new global marine gravity model, SDUST2022GRA, is recovered from radar and laser altimeter data. The accuracy of SDUST2022GRA is 4.43 mGal on a global scale, which is at least 0.22 mGal better than that of other models. The spatial resolution of SDUST2022GRA is approximately 20 km in a certain region, slightly superior to other models. These assessments suggest that SDUST2022GRA is a reliable global marine gravity anomaly model.
Shuai Zhou, Jinyun Guo, Huiying Zhang, Yongjun Jia, Heping Sun, Xin Liu, and Dechao An
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-358, https://doi.org/10.5194/essd-2024-358, 2024
Revised manuscript accepted for ESSD
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Our research focuses on using machine learning to enhance the accuracy and efficiency of bathymetric model. In this paper, the Multi-layer Perceptron (MLP) neural network is used to integrate multi-source marine geodetic data. And a new bathymetric model of the global ocean, spanning 0°–360° E and 80° S–80° N, has been constructed, known as the Shandong University of Science and Technology 2023 Bathymetric Chart of the Oceans (SDUST2023BCO), with a grid size of 1′.
Sarah Paradis, Justin Tiano, Emil De Borger, Antonio Pusceddu, Clare Bradshaw, Claudia Ennas, Claudia Morys, and Marija Sciberras
Earth Syst. Sci. Data, 16, 3547–3563, https://doi.org/10.5194/essd-16-3547-2024, https://doi.org/10.5194/essd-16-3547-2024, 2024
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DISOM is a database that compiles data of 71 independent studies that assess the effect of demersal fisheries on sedimentological and biogeochemical properties. This database also provides crucial metadata (i.e. environmental and fishing descriptors) needed to understand the effects of demersal fisheries in a global context.
Graham Epstein, Susanna D. Fuller, Dipti Hingmire, Paul G. Myers, Angelica Peña, Clark Pennelly, and Julia K. Baum
Earth Syst. Sci. Data, 16, 2165–2195, https://doi.org/10.5194/essd-16-2165-2024, https://doi.org/10.5194/essd-16-2165-2024, 2024
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Improved mapping of surficial seabed sediment organic carbon is vital for best-practice marine management. Here, using systematic data review, data unification process and machine learning techniques, the first national predictive maps were produced for Canada at 200 m resolution. We show fine-scale spatial variation of organic carbon across the continental margin and estimate the total standing stock in the top 30 cm of the sediment to be 10.9 Gt.
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
Earth Syst. Sci. Data, 15, 4613–4629, https://doi.org/10.5194/essd-15-4613-2023, https://doi.org/10.5194/essd-15-4613-2023, 2023
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Sandy beaches, shaped by tides, waves, and winds, constantly change. Studying these changes is crucial for coastal management, but obtaining detailed shoreline data is difficult and costly. Our paper introduces a unique dataset of high-resolution shorelines from five Spanish beaches collected through the CoastSnap citizen-science program. With 1721 shorelines, our dataset provides valuable information for coastal studies.
Sarah Paradis, Kai Nakajima, Tessa S. Van der Voort, Hannah Gies, Aline Wildberger, Thomas M. Blattmann, Lisa Bröder, and Timothy I. Eglinton
Earth Syst. Sci. Data, 15, 4105–4125, https://doi.org/10.5194/essd-15-4105-2023, https://doi.org/10.5194/essd-15-4105-2023, 2023
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MOSAIC is a database of global organic carbon in marine sediments. This new version holds more than 21 000 sediment cores and includes new variables to interpret organic carbon distribution, such as sedimentological parameters and biomarker signatures. MOSAIC also stores data from specific sediment and molecular fractions to better understand organic carbon degradation and ageing. This database is continuously expanding, and version control will allow reproducible research outputs.
Rajeev Saraswat, Thejasino Suokhrie, Dinesh K. Naik, Dharmendra P. Singh, Syed M. Saalim, Mohd Salman, Gavendra Kumar, Sudhira R. Bhadra, Mahyar Mohtadi, Sujata R. Kurtarkar, and Abhayanand S. Maurya
Earth Syst. Sci. Data, 15, 171–187, https://doi.org/10.5194/essd-15-171-2023, https://doi.org/10.5194/essd-15-171-2023, 2023
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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.
Kilian Vos, Wen Deng, Mitchell Dean Harley, Ian Lloyd Turner, and Kristen Dena Marie Splinter
Earth Syst. Sci. Data, 14, 1345–1357, https://doi.org/10.5194/essd-14-1345-2022, https://doi.org/10.5194/essd-14-1345-2022, 2022
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Along the world's coastlines, we find sandy beaches that are constantly reshaped by ocean waves and tides. The way the incoming waves interact with the sandy beach is dictated by the slope of the beach face. Yet, despite their importance in coastal sciences, beach-face slope data remain unavailable along most coastlines. Here we use satellite remote sensing to present a new dataset of beach-face slopes for the Australian continent, covering 13 200 km of sandy coast.
Woo Hun Ryang, Alexander R. Simms, Hyun Ho Yoon, Seung Soo Chun, and Gee Soo Kong
Earth Syst. Sci. Data, 14, 117–142, https://doi.org/10.5194/essd-14-117-2022, https://doi.org/10.5194/essd-14-117-2022, 2022
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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
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.
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
Short summary
Short summary
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
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.
To protect the Dutch coastal zone, sand is nourished and disposed at strategic locations. Simple...
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