Articles | Volume 13, issue 8
https://doi.org/10.5194/essd-13-4121-2021
© Author(s) 2021. 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-13-4121-2021
© 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
| 
24 Aug 2021
Data description paper |
| 24 Aug 2021
| 24 Aug 2021
Minute Sea-Level Analysis (MISELA): a high-frequency sea-level analysis global dataset
Petra Zemunik
CORRESPONDING AUTHOR
Institute of Oceanography and Fisheries, Šetalište I.
Meštrovića 63, 21000 Split, Croatia
Jadranka Šepić
Faculty of Science, University of Split, R. Boškovića 33,
21000 Split, Croatia
Havu Pellikka
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki,
Finland
Leon Ćatipović
Faculty of Science, University of Split, R. Boškovića 33,
21000 Split, Croatia
Ivica Vilibić
Institute of Oceanography and Fisheries, Šetalište I.
Meštrovića 63, 21000 Split, Croatia
Ruđer Bošković Institute, Division for Marine and
Environmental Research, Bijenička cesta 54, 10000 Zagreb, Croatia
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Revised manuscript accepted for ESSD
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In September 2021, the Italian Arctic Research Programme funded a multidisciplinary study along the 75° N in the Greenland Sea as part of the CASSANDRA project and the Synoptic Arctic Survey programme. The study emphasises the spatial variability of water properties, nutrient distribution and biological communities determined by oceanographic dynamics, in a region influenced by sea ice melting, Atlantic water inflow and climatic teleconnections during a record low summer sea ice extent.
Marina Locritani, Sara Garvani, Giuseppe Manzella, Giancarlo Tamburello, and Antonio Guarnieri
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-53, https://doi.org/10.5194/essd-2025-53, 2025
Revised manuscript accepted for ESSD
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The Histoire Physique de la Mer, written by L.F. Marsili in 1725, was one of the first treatises to analyse the science of the sea. However, it is difficult to understand Marsili's original data. This paper has undertaken a major effort to re-evaluate Marsili's observations, converting historical measurements into modern units: water weight in water density, bathymetric profiles mapping the locations where these measurements were made, and sea level variations, considering the associated error.
Chao Liu and Lisan Yu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-14, https://doi.org/10.5194/essd-2025-14, 2025
Revised manuscript accepted for ESSD
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A daily dataset on ocean-surface stress is synthesized for both ice-covered and ice-free Arctic and Antarctic areas. It is based on satellite data on ocean winds, ice movement, and sea surface height. Sensitivity analyses address uncertainties, including variations in sea level products and ice-water drag. The dataset's accuracy is validated against in situ measurements, showing moderate to good agreement on monthly and longer timescales.
Federica Foglini, Marzia Rovere, Renato Tonielli, Giorgio Castellan, Mariacristina Prampolini, Francesca Budillon, Marco Cuffaro, Gabriella Di Martino, Valentina Grande, Sara Innangi, Maria Filomena Loreto, Leonardo Langone, Fantina Madricardo, Alessandra Mercorella, Paolo Montagna, Camilla Palmiotto, Claudio Pellegrini, Antonio Petrizzo, Lorenzo Petracchini, Alessandro Remia, Marco Sacchi, Daphnie Sanchez Galvez, Anna Nora Tassetti, and Fabio Trincardi
Earth Syst. Sci. Data, 17, 181–203, https://doi.org/10.5194/essd-17-181-2025, https://doi.org/10.5194/essd-17-181-2025, 2025
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In 2022, the new CNR research vessel Gaia Blu explored the seabed of the Naples and Pozzuoli gulfs and the Amalfi coastal area (Tyrrhenian Sea, Italy) from 50–2000 m water depth, covering 5000 m2 of seafloor. This paper describes data acquisition and processing and provides maps in unprecedented detail of this area affected by geological changes and human impacts. The findings support future geological and geomorphological investigations and mapping and monitoring of the seafloor and habitats.
Zhongxiang Zhao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-611, https://doi.org/10.5194/essd-2024-611, 2025
Revised manuscript accepted for ESSD
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Internal tides are generated by barotropic tidal currents flowing over variable topography. They play an important role in a variety of ocean processes such as diapycnal mixing and tracer transport. A global internal tide model is developed using 30 years of satellite altimetry data and a new mapping technique. It decomposes the internal tide field into 60 plane waves at each point, giving numerous long-range beams that contain key information on their generation, propagation, and dissipation.
Yan Wang, Ge Chen, Jie Yang, Zhipeng Gui, and Dehua Peng
Earth Syst. Sci. Data, 16, 5737–5752, https://doi.org/10.5194/essd-16-5737-2024, https://doi.org/10.5194/essd-16-5737-2024, 2024
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Mesoscale eddies are ubiquitous in the ocean and account for 90 % of its kinetic energy, but their generation and dissipation are difficult to observe using current remote sensing technology. Our submesoscale eddy dataset, formed by suppressing large-scale circulation signals and enhancing small-scale chlorophyll structures, has important implications for understanding marine environments and ecosystems, as well as improving climate model predictions.
Han Zhang, Dake Chen, Tongya Liu, Di Tian, Min He, Qi Li, Guofei Wei, and Jian Liu
Earth Syst. Sci. Data, 16, 5665–5679, https://doi.org/10.5194/essd-16-5665-2024, https://doi.org/10.5194/essd-16-5665-2024, 2024
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This paper provides a cross-shaped moored array dataset (MASCS 1.0) of observations that consist of five buoys and four moorings in the northern South China Sea from 2014 to 2015. The moored array is influenced by atmospheric forcings such as tropical cyclones and monsoon as well as oceanic tides and flows. The data reveal variations of the air–sea interface and the ocean itself, which are valuable for studies of air–sea interactions and ocean dynamics in the northern South China Sea.
Simona Simoncelli, Franco Reseghetti, Claudia Fratianni, Lijing Cheng, and Giancarlo Raiteri
Earth Syst. Sci. Data, 16, 5531–5561, https://doi.org/10.5194/essd-16-5531-2024, https://doi.org/10.5194/essd-16-5531-2024, 2024
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This data review is about the reprocessing of historical eXpendable BathyThermograp (XBT) profiles from the Ligurian and Tyrrhenian seas over the time period 1999–2019. A new automated quality control analysis has been performed starting from the original raw data and operational log sheets. The data have been formatted and standardized according to the latest community best practices, and all available metadata have been inserted, including calibration information and uncertainty specification.
Giuseppe Zibordi and Jean-François Berthon
Earth Syst. Sci. Data, 16, 5477–5502, https://doi.org/10.5194/essd-16-5477-2024, https://doi.org/10.5194/essd-16-5477-2024, 2024
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The Coastal Atmosphere and Sea Time Series (CoASTS) and Bio-Optical mapping of Marine Properties (BiOMaP) programs produced bio-optical data supporting satellite ocean color applications across European seas for almost 2 decades. CoASTS and BiOMaP applied equal standardized instruments, measurement methods, quality control schemes and processing codes to ensure temporal and spatial consistency with data products.
Gang Yang, Ke Huang, Lin Zhu, Weiwei Sun, Chao Chen, Xiangchao Meng, Lihua Wang, and Yong Ge
Earth Syst. Sci. Data, 16, 5311–5331, https://doi.org/10.5194/essd-16-5311-2024, https://doi.org/10.5194/essd-16-5311-2024, 2024
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Continuous monitoring of shoreline dynamics is critical to understanding the drivers of shoreline change and evolution. This study uses long-term sequences of Landsat Landsat Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI) images to analyze the spatio-temporal evolution characteristics of the coastlines of Hainan, mainland China, Taiwan, and other countries from 1990 to 2019.
Nicolas Kolodziejczyk, Esther Portela, Virginie Thierry, and Annaig Prigent
Earth Syst. Sci. Data, 16, 5191–5206, https://doi.org/10.5194/essd-16-5191-2024, https://doi.org/10.5194/essd-16-5191-2024, 2024
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Oceanic dissolved oxygen (DO) is fundamental for ocean biogeochemical cycles and marine life. To ease the computation of the ocean oxygen budget from in situ DO data, mapping of data on a regular 3D grid is useful. Here, we present a new DO gridded product from the Argo database. We compare it with existing DO mapping from a historical dataset. We suggest that the ocean has generally been losing oxygen since the 1980s, but large interannual and regional variabilities should be considered.
Xudong Zhang and Xiaofeng Li
Earth Syst. Sci. Data, 16, 5131–5144, https://doi.org/10.5194/essd-16-5131-2024, https://doi.org/10.5194/essd-16-5131-2024, 2024
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Internal wave (IW) is an important ocean process and is frequently observed in the South China Sea (SCS). This study presents a detailed IW dataset for the northern SCS spanning from 2000 to 2022, with a spatial resolution of 250 m, comprising 3085 IW MODIS images. This dataset can enhance understanding of IW dynamics and serve as a valuable resource for studying ocean dynamics, validating numerical models, and advancing AI-driven model building, fostering further exploration into IW phenomena.
Jian Liu, Jingjing Yu, Chuyong Lin, Min He, Haiyan Liu, Wei Wang, and Min Min
Earth Syst. Sci. Data, 16, 4949–4969, https://doi.org/10.5194/essd-16-4949-2024, https://doi.org/10.5194/essd-16-4949-2024, 2024
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The Japanese Himawari-8 and Himawari-9 (H8/9) geostationary (GEO) satellites are strategically positioned over the South China Sea (SCS), spanning from 3 November 2022 to the present. They mainly provide cloud mask, fraction, height, phase, optical, and microphysical property; layered precipitable water; and sea surface temperature products within a temporal resolution of 10 min and a gridded resolution of 0.05° × 0.05°.
Romain Le Gendre, David Varillon, Sylvie Fiat, Régis Hocdé, Antoine De Ramon N'Yeurt, Jérôme Aucan, Sophie Cravatte, Maxime Duphil, Alexandre Ganachaud, Baptiste Gaudron, Elodie Kestenare, Vetea Liao, Bernard Pelletier, Alexandre Peltier, Anne-Lou Schaefer, Thomas Trophime, Simon Van Wynsberge, Yves Dandonneau, Michel Allenbach, and Christophe Menkes
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-394, https://doi.org/10.5194/essd-2024-394, 2024
Revised manuscript accepted for ESSD
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Due to ocean warming, coral reef ecosystems are strongly impacted with dystrophic events and corals experiencing increasing frequencies of bleaching events. In-situ observation remains the best alternative for accurate characterization of trends and extremes in these shallow environments. This paper presents the coastal temperature dataset of the ReefTEMPS monitoring network which spreads over multiple Pacific Island Countries and Territories (PICTS) in the Western and Central South Pacific.
Sarah A. Rautenbach, Carlos Mendes de Sousa, Mafalda Carapuço, and Paulo Relvas
Earth Syst. Sci. Data, 16, 4641–4654, https://doi.org/10.5194/essd-16-4641-2024, https://doi.org/10.5194/essd-16-4641-2024, 2024
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This article presents the data of a 4-month observation of the Iberian Margin Cape St. Vincent ocean observatory, in Portugal (2022), a European Multidisciplinary Seafloor and water column Observatory node. Three instruments at depths between 150 and 200 m collected physical/biogeochemical parameters at different spatial and temporal scales. EMSO-ERIC aims at developing strategies to enable sustainable ocean observation with regards to costs, time, and resolution.
Owein Thuillier, Nicolas Le Josse, Alexandru-Liviu Olteanu, Marc Sevaux, and Hervé Tanguy
Earth Syst. Sci. Data, 16, 4529–4556, https://doi.org/10.5194/essd-16-4529-2024, https://doi.org/10.5194/essd-16-4529-2024, 2024
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Our study unveils a comprehensive catalogue of 17 700 unique coastal digital elevation models (DEMs) derived from the General Bathymetric Chart of the Oceans (GEBCO) as of 2022. These DEMs are designed to support a variety of scientific and educational purposes. Organised into three libraries, they cover a wide range of coastal geometries and different sizes. Data and custom colour palettes for visualisation are made freely available online, promoting open science and collaboration.
Meri Korhonen, Mateusz Moskalik, Oskar Głowacki, and Vineet Jain
Earth Syst. Sci. Data, 16, 4511–4527, https://doi.org/10.5194/essd-16-4511-2024, https://doi.org/10.5194/essd-16-4511-2024, 2024
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Since 2015, temperature and salinity have been monitored in Hornsund fjord (Svalbard), where retreating glaciers add meltwater and terrestrial matter to coastal waters. Therefore, turbidity and water sampling for suspended sediment concentration and sediment deposition are measured. The monitoring spans from May to October, enabling studies on seasonality and its variability over the years, and the dataset covers the whole fjord, including the inner basins in close proximity to the glaciers.
Kyla Drushka, Elizabeth Westbrook, Frederick M. Bingham, Peter Gaube, Suzanne Dickinson, Severine Fournier, Viviane Menezes, Sidharth Misra, Jaynice Pérez Valentín, Edwin J. Rainville, Julian J. Schanze, Carlyn Schmidgall, Andrey Shcherbina, Michael Steele, Jim Thomson, and Seth Zippel
Earth Syst. Sci. Data, 16, 4209–4242, https://doi.org/10.5194/essd-16-4209-2024, https://doi.org/10.5194/essd-16-4209-2024, 2024
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The NASA SASSIE mission aims to understand the role of salinity in modifying sea ice formation in early autumn. The 2022 SASSIE campaign collected measurements of upper-ocean properties, including stratification (layering of the ocean) and air–sea fluxes in the Beaufort Sea. These data are presented here and made publicly available on the NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC), along with code to manipulate the data and generate the figures presented herein.
Le Gao, Yuan Guo, and Xiaofeng Li
Earth Syst. Sci. Data, 16, 4189–4207, https://doi.org/10.5194/essd-16-4189-2024, https://doi.org/10.5194/essd-16-4189-2024, 2024
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Since 2008, the Yellow Sea has faced a significant ecological issue, the green tide, which has become one of the world's largest marine disasters. Satellite remote sensing plays a pivotal role in detecting this phenomenon. This study uses AI-based models to extract the daily green tide from MODIS and SAR images and integrates these daily data to introduce a continuous weekly dataset, which aids research in disaster simulation, forecasting, and prevention.
Chunhua Qiu, Zhenyang Du, Jiancheng Yu, Huabin Mao, Haibo Tang, Zhenhui Yi, Jiawei Qiao, Dongxiao Wang, Xiaoming Zhai, and Yeqiang Shu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-338, https://doi.org/10.5194/essd-2024-338, 2024
Revised manuscript accepted for ESSD
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The high dense AUVs’ dataset in SCS provides 24498 temperature and salinity profiles and covers 463 days’ experiments, including 83 AUGs’ and 2 AUVs’ experiments. To our knowledge, the resolution and length of this dataset is enough in detecting the asymmetry, vertical tilt, temporal evolution of MEs, and the submesoscale processes. The dataset is expected to improve the accuracy of current and biogeochemistry numerical model. More projects gathering AUVs network will be promoted in future.
Alexandre Heumann, Félix Margirier, Emmanuel Rinnert, Pascale Lherminier, Carla Scalabrin, Louis Geli, Orens Pasqueron de Fommervault, and Laurent Beguery
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-377, https://doi.org/10.5194/essd-2024-377, 2024
Revised manuscript accepted for ESSD
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Following an seismic crisis in May 2018 in Mayotte, an observation network has been created with the given objective of monitoring this volcanic phenomena. A SeaExplorer glider has been deployed to supplement the data obtained during a series of oceanographic surveys. The glider performed a continuous monitoring of 30 months of the water column from the sea surface to 1250 meters water depth with the objective to acquire hydrological properties, water currents and dissolved gas concentrations.
Lijing Cheng, Yuying Pan, Zhetao Tan, Huayi Zheng, Yujing Zhu, Wangxu Wei, Juan Du, Huifeng Yuan, Guancheng Li, Hanlin Ye, Viktor Gouretski, Yuanlong Li, Kevin E. Trenberth, John Abraham, Yuchun Jin, Franco Reseghetti, Xiaopei Lin, Bin Zhang, Gengxin Chen, Michael E. Mann, and Jiang Zhu
Earth Syst. Sci. Data, 16, 3517–3546, https://doi.org/10.5194/essd-16-3517-2024, https://doi.org/10.5194/essd-16-3517-2024, 2024
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Observational gridded products are essential for understanding the ocean, the atmosphere, and climate change; they support policy decisions and socioeconomic developments. This study provides an update of an ocean subsurface temperature and ocean heat content gridded product, named the IAPv4 data product, which is available for the upper 6000 m (119 levels) since 1940 (more reliable after ~1955) for monthly and 1° × 1° temporal and spatial resolutions.
Sönke Dangendorf, Qiang Sun, Thomas Wahl, Philip Thompson, Jerry X. Mitrovica, and Ben Hamlington
Earth Syst. Sci. Data, 16, 3471–3494, https://doi.org/10.5194/essd-16-3471-2024, https://doi.org/10.5194/essd-16-3471-2024, 2024
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Sea-level information from the global ocean is sparse in time and space, with comprehensive data being limited to the period since 2005. Here we provide a novel reconstruction of sea level and its contributing causes, as determined by a Kalman smoother approach applied to tide gauge records over the period 1900–2021. The new reconstruction shows a continuing acceleration in global mean sea-level rise since 1970 that is dominated by melting land ice. Contributors vary significantly by region.
Panagiotis Athanasiou, Ap van Dongeren, Maarten Pronk, Alessio Giardino, Michalis Vousdoukas, and Roshanka Ranasinghe
Earth Syst. Sci. Data, 16, 3433–3452, https://doi.org/10.5194/essd-16-3433-2024, https://doi.org/10.5194/essd-16-3433-2024, 2024
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The shape of the coast, the intensity of waves, the height of the water levels, the presence of people or critical infrastructure, and the land use are important information to assess the vulnerability of the coast to coastal hazards. Here, we provide 80 indicators of this kind at consistent locations along the global ice-free coastline using open-access global datasets. These can be valuable for quick assessments of the vulnerability of the coast and at data-poor locations.
Léo Seyfried, Laurie Biscara, Héloïse Michaud, Fabien Leckler, Audrey Pasquet, Marc Pezerat, and Clément Gicquel
Earth Syst. Sci. Data, 16, 3345–3367, https://doi.org/10.5194/essd-16-3345-2024, https://doi.org/10.5194/essd-16-3345-2024, 2024
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In Saint-Malo, France, an initiative to enhance marine submersion prevention began in 2018. Shom conducted an extensive sea campaign, mapping the bay's topography and exploring coastal processes. High-resolution data improve knowledge of the interactions between waves, tide and surge and determine processes responsible for submersion. Beyond science, these findings contribute crucially to a local warning system, providing a tangible solution to protect the community from coastal threats.
Jisun Shin, Dae-Won Kim, So-Hyun Kim, Gi Seop Lee, Boo-Keun Khim, and Young-Heon Jo
Earth Syst. Sci. Data, 16, 3193–3211, https://doi.org/10.5194/essd-16-3193-2024, https://doi.org/10.5194/essd-16-3193-2024, 2024
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We overcame the limitations of satellite and reanalysis sea surface salinity (SSS) datasets and produced a gap-free gridded SSS product with reasonable accuracy and a spatial resolution of 1 km using a machine learning model. Our data enabled the recognition of SSS distribution and movement patterns of the Changjiang diluted water (CDW) front in the East China Sea (ECS) during summer. These results will further advance our understanding and monitoring of long-term SSS variations in the ECS.
Haibin Ye, Chaoyu Yang, Yuan Dong, Shilin Tang, and Chuqun Chen
Earth Syst. Sci. Data, 16, 3125–3147, https://doi.org/10.5194/essd-16-3125-2024, https://doi.org/10.5194/essd-16-3125-2024, 2024
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A deep-learning model for gap-filling based on expected variance was developed. OI-SwinUnet achieves good performance reconstructing chlorophyll-a concentration data on the South China Sea. The reconstructed dataset depicts both the spatiotemporal patterns at the seasonal scale and a fast-change process at the weather scale. Reconstructed data show chlorophyll perturbations of individual eddies at different life stages, giving academics a unique and complete perspective on eddy studies.
Robert W. Schlegel, Rakesh Kumar Singh, Bernard Gentili, Simon Bélanger, Laura Castro de la Guardia, Dorte Krause-Jensen, Cale A. Miller, Mikael Sejr, and Jean-Pierre Gattuso
Earth Syst. Sci. Data, 16, 2773–2788, https://doi.org/10.5194/essd-16-2773-2024, https://doi.org/10.5194/essd-16-2773-2024, 2024
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Fjords play a vital role in the Arctic ecosystems and human communities. It is therefore important to have as clear of an understanding of the processes within these systems as possible. While temperature and salinity tend to be well measured, light is usually not. The dataset described in this paper uses remotely sensed data from 2003 to 2022 to address this problem by providing high-spatial-resolution surface, water column, and seafloor light data for several well-studied Arctic fjords.
Nir Haim, Vika Grigorieva, Rotem Soffer, Boaz Mayzel, Timor Katz, Ronen Alkalay, Eli Biton, Ayah Lazar, Hezi Gildor, Ilana Berman-Frank, Yishai Weinstein, Barak Herut, and Yaron Toledo
Earth Syst. Sci. Data, 16, 2659–2668, https://doi.org/10.5194/essd-16-2659-2024, https://doi.org/10.5194/essd-16-2659-2024, 2024
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This paper outlines the process of creating an open-access surface wave dataset, drawing from deep-sea research station observations located 50 km off the coast of Israel. The discussion covers the wave monitoring procedure, from instrument configuration to wave field retrieval, and aspects of quality assurance. The dataset presented spans over 5 years, offering uncommon in situ wave measurements in the deep sea, and addresses the existing gap in wave information within the region.
Fengshun Zhu, Jinyun Guo, Huiying Zhang, Lingyong Huang, Heping Sun, and Xin Liu
Earth Syst. Sci. Data, 16, 2281–2296, https://doi.org/10.5194/essd-16-2281-2024, https://doi.org/10.5194/essd-16-2281-2024, 2024
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We used multi-satellite altimeter data to construct a high-resolution marine gravity change rate (MGCR) model on 5′×5′ grids, named SDUST2020MGCR. The spatial distribution of SDUST2020MGCR and GRACE MGCR are similar, such as in the eastern seas of Japan (dipole), western seas of the Nicobar Islands (rising), and southern seas of Greenland (falling). The SDUST2020MGCR can provide a detailed view of long-term marine gravity change, which will help to study the seawater mass migration.
Lisa Deyle, Thomas H. Badewien, Oliver Wurl, and Jens Meyerjürgens
Earth Syst. Sci. Data, 16, 2099–2112, https://doi.org/10.5194/essd-16-2099-2024, https://doi.org/10.5194/essd-16-2099-2024, 2024
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A dataset from the North Sea of 85 surface drifters from 2017–2021 is presented. Surface drifters enable the analysis of ocean currents by determining the velocities of surface currents and tidal effects. The entire North Sea has not been studied using drifters before, but the analysis of ocean currents is essential, e.g., to understand the pathways of plastic. The results show that there are strong tidal effects in the shallow North Sea area and strong surface currents in the deep areas.
Yasser O. Abualnaja, Alexandra Pavlidou, James H. Churchill, Ioannis Hatzianestis, Dimitris Velaoras, Harilaos Kontoyiannis, Vassilis P. Papadopoulos, Aristomenis P. Karageorgis, Georgia Assimakopoulou, Helen Kaberi, Theodoros Kannelopoulos, Constantine Parinos, Christina Zeri, Dionysios Ballas, Elli Pitta, Vassiliki Paraskevopoulou, Afroditi Androni, Styliani Chourdaki, Vassileia Fioraki, Stylianos Iliakis, Georgia Kabouri, Angeliki Konstantinopoulou, Georgios Krokos, Dimitra Papageorgiou, Alkiviadis Papageorgiou, Georgios Pappas, Elvira Plakidi, Eleni Rousselaki, Ioanna Stavrakaki, Eleni Tzempelikou, Panagiota Zachioti, Anthi Yfanti, Theodore Zoulias, Abdulah Al Amoudi, Yasser Alshehri, Ahmad Alharbi, Hammad Al Sulami, Taha Boksmati, Rayan Mutwalli, and Ibrahim Hoteit
Earth Syst. Sci. Data, 16, 1703–1731, https://doi.org/10.5194/essd-16-1703-2024, https://doi.org/10.5194/essd-16-1703-2024, 2024
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We present oceanographic measurements obtained during two surveillance cruises conducted in June and September 2021 in the Red Sea and the Arabian Gulf. It is the first multidisciplinary survey within the Saudi Arabian coastal zone, extending from near the Saudi–Jordanian border in the north of the Red Sea to the south close to the Saudi--Yemen border and in the Arabian Gulf. The objective was to record the pollution status along the coastal zone of the kingdom related to specific pressures.
Alexandra E. Jones-Kellett and Michael J. Follows
Earth Syst. Sci. Data, 16, 1475–1501, https://doi.org/10.5194/essd-16-1475-2024, https://doi.org/10.5194/essd-16-1475-2024, 2024
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Ocean eddies can limit horizontal mixing, potentially isolating phytoplankton populations and affecting their concentration. We used two decades of satellite data and computer simulations to identify and track eddy-trapping boundaries in the Pacific Ocean for application in phytoplankton research. Although some eddies trap water masses for months, many continuously mix with surrounding waters. A case study shows how eddy trapping can enhance the signature of a phytoplankton bloom.
Richard Fiifi Annan, Xiaoyun Wan, Ruijie Hao, and Fei Wang
Earth Syst. Sci. Data, 16, 1167–1176, https://doi.org/10.5194/essd-16-1167-2024, https://doi.org/10.5194/essd-16-1167-2024, 2024
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Gravity gradient tensor, a set of six unique gravity signals, is suitable for detecting undersea features. However, due to poor spatial resolution in past years, it has received less research interest and investment. However, current datasets have better accuracy and resolutions, thereby necessitating a revisit. Our analysis shows comparable results with reference models. We conclude that current-generation altimetry datasets can precisely resolve all six gravity gradients.
Simon Treu, Sanne Muis, Sönke Dangendorf, Thomas Wahl, Julius Oelsmann, Stefanie Heinicke, Katja Frieler, and Matthias Mengel
Earth Syst. Sci. Data, 16, 1121–1136, https://doi.org/10.5194/essd-16-1121-2024, https://doi.org/10.5194/essd-16-1121-2024, 2024
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This article describes a reconstruction of monthly coastal water levels from 1900–2015 and hourly data from 1979–2015, both with and without long-term sea level rise. The dataset is based on a combination of three datasets that are focused on different aspects of coastal water levels. Comparison with tide gauge records shows that this combination brings reconstructions closer to the observations compared to the individual datasets.
Sarah Asdar, Daniele Ciani, and Bruno Buongiorno Nardelli
Earth Syst. Sci. Data, 16, 1029–1046, https://doi.org/10.5194/essd-16-1029-2024, https://doi.org/10.5194/essd-16-1029-2024, 2024
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Estimating 3D currents is crucial for the understanding of ocean dynamics, and a precise knowledge of ocean circulation is essential to ensure a sustainable ocean. In this context, a new high-resolution (1 / 10°) data-driven dataset of 3D ocean currents has been developed within the European Space Agency World Ocean Circulation project, providing 10 years (2010–2019) of horizontal and vertical quasi-geostrophic currents at daily resolution over the North Atlantic Ocean, down to 1500 m depth.
Xiaoxia Zhang and Heidi Nepf
Earth Syst. Sci. Data, 16, 1047–1062, https://doi.org/10.5194/essd-16-1047-2024, https://doi.org/10.5194/essd-16-1047-2024, 2024
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This study measured the wave-induced plant drag, flow structure, turbulent intensity, and wave energy attenuation in the presence of a salt marsh. We showed that leaves contribute to most of the total plant drag and wave dissipation. Plant resistance significantly reshapes the velocity profile and enhances turbulence intensity. Adding current obviously impact the plants' wave decay capacity. The dataset can be reused to develop and calibrate marsh-flow theoretical and numerical models.
Michael Hemming, Moninya Roughan, and Amandine Schaeffer
Earth Syst. Sci. Data, 16, 887–901, https://doi.org/10.5194/essd-16-887-2024, https://doi.org/10.5194/essd-16-887-2024, 2024
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We present new datasets that are useful for exploring extreme ocean temperature events in Australian coastal waters. These datasets span multiple decades, starting from the 1940s and 1950s, and include observations from the surface to the bottom at four coastal sites. The datasets provide valuable insights into the intensity, frequency and timing of extreme warm and cold temperature events and include event characteristics such as duration, onset and decline rates and their categorisation.
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.
Cited articles
Aarup, T., Wöppelmann, G., Woodworth, P. L., Hernandez, F., Vanhoorne,
B., Schöne, T., and Thompson, P. R.: Comments on the article
“Uncertainty and bias in electronic tide-gauge records: evidence from
collocated sensors” by Stella Pytharouli, Spyros Chaikalis, Stathis C.
Stiros in Measurement (Volume 125, September 2018), Measurement, 135,
613–616, https://doi.org/10.1016/j.measurement.2018.12.007, 2019.
Amato, A.: Some reflections on tsunami Early Warning Systems and their
impact, with a look at the NEAMTWS, Boll. Geof. Teor. Appl., 61, 403–420,
https://doi.org/10.4430/bgta0329, 2020.
Bechle, A. J., Wu, C. H., Kristovich, D. A. R., Anderson, E. J., Schwab, D. J.,
and Rabinovich, A. B.: Meteotsunamis in the Laurentian Great Lakes, Sci.
Rep.-UK, 6, 37832, https://doi.org/10.1038/srep37832, 2016.
Caldwell, P. C., Merrifield, M. A., and Thompson, P. R.: Sea level measured by
tide gauges from global oceans – the Joint Archive for Sea Level holdings
(NCEI Accession 0019568), Version 5.5, NOAA National Centers for
Environmental Information [data set], https://doi.org/10.7289/V5V40S7W, 2015.
Carvajal, M., Contreras-Lopez, M., Winckler, P., and Sepulveda, I.:
Meteotsunamis occurring along the southwest coast of South America during an
intense storm, Pure Appl. Geophys., 174, 3313–3323, https://doi.org/10.1007/s00024-017-1584-0, 2017.
Chlieh, M., Avouac, J. P., Hjorleifsdottir, V., Song, T. R. A., Ji, C., Sieh,
K., Sladen, A., Hebert, H., Prawirodirdjo, L., Bock, Y., and Galetzka, J.:
Coseismic slip and afterslip of the great M-w 9.15 Sumatra-Andaman
earthquake of 2004, B. Seismol. Soc. Am., 97, S152–S173, https://doi.org/10.1785/0120050631, 2007.
Dodet, G., Melet, A., Ardhuin, F., Bertin, X., Idier, D., and Almar, R.: The
contribution of wind-generated waves to coastal sea-level changes, Survey
Geophys., 40, 1563–1601, https://doi.org/10.1007/s10712-019-09557-5, 2019.
EuroGOOS DATA-MEQ working group: Recommendations for in-situ data Near Real
Time Quality Control, Coriolis Data Centre, 23 pp., https://doi.org/10.13155/36230, 2010.
Flanders Marine Institute (VLIZ) and Intergovernmental Oceanographic
Commission (IOC): Sea level station monitoring facility, VLIZ, https://doi.org/10.14284/482, 2021.
García-Valdecasas, J., Pérez Gómez, B., Molina,
R., Rodríguez, A., Rodríguez, D., Pérez, S., Campos, A.,
Rodríguez Rubio, P., Gracia, S., Ripollés, L., Terrés Nicoli,
J. M., Javier de los Santos, F., and Álvarez Fanjul, E.: Operational
tool for characterizing high-frequency sea level oscillations, Nat. Hazards,
106, 1149–1167, https://doi.org/10.1007/s11069-020-04316-x,
2021.
Heidarzadeh, M. and Rabinovich, A. B.: Combined hazard of typhoon-generated
meteorological tsunamis and storm surges along the coast of Japan, Nat.
Hazards, 106, 1639–1672, https://doi.org/10.1007/s11069-020-04448-0, 2021.
Holgate, S. J., Matthews, A., Woodworth, P. L., Rickards, L. J., Tamisiea,
M. E., Bradshaw, E., Foden, P. R., Gordon, K. M., Jevrejeva, S., and Pugh,
J.: New Data Systems and Products at the Permanent Service for Mean Sea
Level. J. Coastal. Res., 288, 493–504, https://doi.org/10.2112/jcoastres-d-12-00175.1, 2013.
Hunter, J. R., Woodworth, P. L., Wahl, T., and Nicholls, R. J.: Using global
tide gauge data to validate and improve the representation of extreme sea
levels in flood impact studies, Global. Planet. Change, 156, 34–45,
https://doi.org/10.1016/j.gloplacha.2017.06.007, 2017.
IOC: Global Sea Level Observing System (GLOSS) implementation plan – 1997,
UNESCO/Intergovernmental Oceanographic Commission, Technical Series, No. 50,
91 pp. & Annexes, UNESCO, Paris, 1997.
IOC: Global Sea Level Observing System (GLOSS) Implementation Plan – 2012,
UNESCO/Intergovernmental Oceanographic Commission, 41 pp., 2012, IOC
Technical Series No. 100, GOOS Report No. 194, JCOMM Technical Report No. 66, UNESCO, Paris, 2012.
Jevrejeva, S., Grinsted, A., Moore, J. C., and Holgate, S.: Nonlinear trends
and multiyear cycles in sea level records, J. Geophys. Res.-Oceans, 111,
C09012, https://doi.org/10.1029/2005JC003229, 2006.
Jylhä, K., Kämäräinen, M., Fortelius, C., Gregow, H.,
Helander, J., Hyvärinen, O., Johansson, M., Karppinen, A., Korpinen, A.,
Kouznetsov, R., Kurzeneva, E., Leijala, U., Mäkelä, A., Pellikka,
H., Saku, S., Sandberg, J., Sofiev, M., Vajda, A., Venäläinen, A.,
and Vira, J.: Recent meteorological and marine studies to support nuclear
power plant safety in Finland, Energy, 165, 1102–1118, https://doi.org/10.1016/j.energy.2018.09.033, 2018.
Marcos, M., Monserrat, S., Medina, R., Orfila, A., and Olabarrieta, M.:
External forcing of meteorological tsunamis at the coast of the Balearic
Islands, Phys. Chem. Earth, 34, 938–947, https://doi.org/10.1016/j.pce.2009.10.001, 2009.
Menéndez, M. and Woodworth, P. L.: Changes in extreme high water levels
based on a quasi-global tide-gauge data set, J. Geophys. Res.-Oceans, 115,
C10011, https://doi.org/10.1029/2009JC005997, 2010.
Monserrat, S., Vilibić, I., and Rabinovich, A. B.: Meteotsunamis: atmospherically induced destructive ocean waves in the tsunami frequency band, Nat. Hazards Earth Syst. Sci., 6, 1035–1051, https://doi.org/10.5194/nhess-6-1035-2006, 2006.
Pasquet, S., Vilibić, I., and Šepić, J.: A survey of strong high-frequency sea level oscillations along the US East Coast between 2006 and 2011, Nat. Hazards Earth Syst. Sci., 13, 473–482, https://doi.org/10.5194/nhess-13-473-2013, 2013.
Pattiaratchi, C. and Wijeratne, E. M. S.: Observations of meteorological
tsunamis along the south-west Australian coast, Nat. Hazards, 74,
281–303, https://doi.org/10.1007/s11069-014-1263-8, 2014.
Pattiaratchi, C. B. and Wijeratne, E. M. S.: Are meteotsunamis an underrated
hazard?, Philos. T. R. Soc. A, 373, 20140377, https://doi.org/10.1098/rsta.2014.0377, 2015.
Pawlowicz, R., Beardsley, B., and Lentz, S.: Classical tidal harmonic
analysis including error estimates in MATLAB using T_TIDE,
Comput. Geosci., 28, 929–937, https://doi.org/10.1016/s0098-3004(02)00013-4, 2002.
Pellikka, H., Rauhala, J., Kahma, K. K., Stipa, T., Boman, H., and Kangas,
A.: Recent observations of meteotsunamis on the Finnish coast, Nat. Hazards,
74, 197–215, https://doi.org/10.1007/s11069-014-1150-3,
2014.
Pérez, B., Álvarez Fanjul, E., Pérez, S., de Alfonso, M., and
Vela, J.: Use of tide gauge data in operational oceanography and sea level
hazard warning systems, J. Oper. Oceanogr., 6, 1–18, https://doi.org/10.1080/1755876x.2013.11020147, 2013.
Šepić, J. and Rabinovich, A. B.: Meteotsunami in the Great Lakes
and on the Atlantic coast of the United States generated by the “derecho”
of June 29–30, 2012, Nat. Hazards, 74, 75–107, https://doi.org/10.1007/s11069-014-1310-5, 2014.
Šepić, J., Vilibić, I., Lafon, A., Macheboeuf, L., and
Ivanović, Z.: High-frequency sea level oscillations in the Mediterranean
and their connection to synoptic patterns, Prog. Oceanogr., 137, 284–298,
https://doi.org/10.1016/j.pocean.2015.07.005, 2015.
Šepić, J., Međugorac, I., Janeković, I., Dunić, N., and
Vilibić, I.: Multi-meteotsunami event in the Adriatic Sea generated by
atmospheric disturbances of 25–26 June 2014, Pure Appl. Geophys., 173,
4117–4138, https://doi.org/10.1007/s00024-016-1249-4, 2016.
Šepić, J., Vilibić, I., Rabinovich, A. B., and Tinti, S.:
Meteotsunami (“Marrobbio”) of 25–26 June 2014 on the Southwestern Coast
of Sicily, Italy, Pure Appl. Geophys., 175, 1573–1593, https://doi.org/10.1007/s00024-018-1827-8, 2018.
Simons, M., Minson, S. E., Sladen, A., Ortega, F., Jiang, J. L., Owen, S. E.,
Meng, L. S., Ampuero, J. P., Wei, S. J., and Chu, R. S.: The 2011 magnitude 9.0
Tohoku-Oki Earthquake: mosaicking the megathrust from seconds to centuries,
Science, 332, 1421–1425, https://doi.org/10.1126/science.1206731, 2011.
Thomson, R. R. and Emery, W. J.: Data analysis methods in physical
oceanography, 3rd Edn., Elsevier, Oxford, United Kingdom, https://doi.org/10.1016/C2010-0-66362-0, 2014.
Tsimplis, M. N., Marcos, M., Pérez, B., Challenor, P., Garcia-Fernandez,
M. J., and Raicich, F.: On the effect of the sampling frequency of sea level
measurements on return period estimate of extremes – Southern European
examples, Cont. Shelf Res., 29, 2214–2221, https://doi.org/10.1016/j.csr.2009.08.015, 2009.
UNESCO/IOC: Quality Control of in situ Sea Level Observations: A Review and
Progress towards Automated Quality Control, Vol. 1. Paris, France, UNESCO,
70 pp., https://doi.org/10.25607/OBP-854, 2020.
Vafeidis, A. T., Nicholls, R. J., Mcfadden, L., Tol, R. S. J., Hinkel, J.,
Spencer, T., Grashoff, P. S., Boot, G., and Klein, R. J. T.: A new global
coastal database for impact and vulnerability analysis to sea-level rise, J.
Coastal. Res., 24, 917–924, https://doi.org/10.2112/06-0725.1, 2008.
Vilibić, I. and Šepić, J.: Global mapping of nonseismic sea
level oscillations at tsunami timescales, Sci. Rep.-UK, 7, 40818, https://doi.org/10.1038/srep40818, 2017.
Vilibić, I., Šepić, J., Dunić, N., Sevault, F., Monserrat,
S., and Jordà, G.: Proxy-based assessment of strength and frequency of
meteotsunamis in future climate, Geophys. Res. Lett., 45, 10501–10508,
https://doi.org/10.1029/2018GL079566, 2018.
Vilibić, I., Rabinovich, A. B., and Anderson, E. J.: The global
perspective on meteotsunami science: Editorial, Nat. Hazards, 106,
1087–1104, https://doi.org/10.1007/s11069-021-04679-9, 2021.
Yankovsky, A. E.: Large-scale edge waves generated by hurricane landfall, J.
Geophys. Res.-Oceans, 114, C04014, https://doi.org/10.1029/2008JC005113,
2009.
Wilkinson, M. D., Dumontier, M., Jan Aalbersberg, I., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J. W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., Gonzalez-Beltran, A., Gray, A. J. G., Groth, P., Goble, C., Grethe, J. S., Heringa, J., 't Hoen, P. A. C. , Hooft, R., Kuhn, T., Kok, R., Kok, J., Lusher, S. J., Martone, M. E., Mons, A., Packer, A. L., Persson, B., Rocca-Serra, P., Roos, M., van Schaik, R., Sansone, S. A., Schultes, E., Sengstag, T., Slater, T., Strawn, G., Swertz, M. A., Thompson, M., van der Lei, J., van Mulligen, E., Velterop, J., Waagmeester, A., Wittenburg, P., Wolstencroft, K., Zhao, J., and Mons, B.: The FAIR Guiding
Principles for scientific data management and stewardship, Sci. Data,
3, 160018, https://doi.org/10.1038/sdata.2016.18, 2016.
Williams, J., Matthews, A., and Jevrejeva, S.: Development of an automatic
tide gauge processing system, National Oceanography Centre Research and
Consultancy Report, 64, Southampton, National Oceanography Centre, 26 pp.,
2019.
Woodworth, P. L.: Seiches in the eastern Caribbean, Pure Appl. Geophys., 174,
4283–4312, https://doi.org/10.1007/s00024-017-1715-7, 2017.
Woodworth, P. L., Aman, A., and Aarup, T.: Sea level monitoring in Africa,
African J. Mar. Sci., 29, 321–330, https://doi.org/10.2989/AJMS.2007.29.3.2.332, 2007.
Woodworth, P. L., Hunter, J. R., Marcos Moreno, M., Caldwell, P. C., Menendez,
M., and Haigh, I. D.: GESLA (Global Extreme Sea Level Analysis) high
frequency sea level dataset – Version 2, British Oceanographic Data Centre –
Natural Environment Research Council, UK, https://doi.org/10.5285/3b602f74-8374-1e90-e053-6c86abc08d39, 2016.
Woodworth, P. L., Hunter, J. R., Marcos, M., Caldwell, P., Menéndez, M.,
and Haigh, I.: Towards a global higher-frequency sea level dataset, Geosci.
Data J., 3, 50–59, https://doi.org/10.1002/gdj3.42, 2017.
Zemunik, P., Bonanno, A., Mazzola, S., Giacalone, G., Fontana, I., Genovese,
S., Basilone, G., Candela, J., Šepić, J., Vilibić, I., and
Aronica, S.: Observing meteotsunamis (“Marrobbio”) on the southwestern
coast of Sicily, Nat. Hazards, 196, 1337–1363, https://doi.org/10.1007/s11069-020-04303-2, 2021a.
Zemunik, P., Vilibić, I., Šepić, J., Pellikka, H., and
Ćatipović, L.: MISELA: Minute Sea-Level Analysis, Marine Data Archive [data set], https://doi.org/10.14284/456, 2021b.
Short summary
A new global dataset – MISELA (Minute Sea-Level Analysis) – has been developed and contains quality-checked sea-level records from 331 tide gauges worldwide for a period from 2004 to 2019. The dataset is appropriate for research on atmospherically induced high-frequency sea-level oscillations. Research on these oscillations is important, as they can, like all sea-level extremes, seriously threaten coastal zone infrastructure and populations.
A new global dataset – MISELA (Minute Sea-Level Analysis) – has been developed and contains...
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