Articles | Volume 14, issue 8
https://doi.org/10.5194/essd-14-3615-2022
© Author(s) 2022. 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-14-3615-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
11 Aug 2022
Data description paper |
| 11 Aug 2022
| 11 Aug 2022
Wind waves in the North Atlantic from ship navigational radar: SeaVision development and its validation with the Spotter wave buoy and WaveWatch III
Natalia Tilinina
CORRESPONDING AUTHOR
Université Grenoble Alpes, CNRS, IRD, Grenoble-INP, Institut des
Géosciences de l'Environnement, 70 rue de la Physique, 38400, Grenoble,
France
Dmitry Ivonin
Shirshov Institute of Oceanology, RAS, Nakhimovsky ave. 36, 117997,
Moscow, Russia
Alexander Gavrikov
Shirshov Institute of Oceanology, RAS, Nakhimovsky ave. 36, 117997,
Moscow, Russia
Vitali Sharmar
Shirshov Institute of Oceanology, RAS, Nakhimovsky ave. 36, 117997,
Moscow, Russia
Sergey Gulev
Shirshov Institute of Oceanology, RAS, Nakhimovsky ave. 36, 117997,
Moscow, Russia
A. M. Obukhov Institute of Atmospheric Physics, RAS, Pyzhevskiy Lane 3, 109017, Moscow, Russia
Alexander Suslov
Shirshov Institute of Oceanology, RAS, Nakhimovsky ave. 36, 117997,
Moscow, Russia
Vladimir Fadeev
Joint stock company “Marine Complexes and Systems”, Aleksandrovskoy
Fermy ave. 2 office 2H, 192174, Saint Petersburg, Russia
Boris Trofimov
Joint stock company “Marine Complexes and Systems”, Aleksandrovskoy
Fermy ave. 2 office 2H, 192174, Saint Petersburg, Russia
Sergey Bargman
Joint stock company “Marine Complexes and Systems”, Aleksandrovskoy
Fermy ave. 2 office 2H, 192174, Saint Petersburg, Russia
Leysan Salavatova
Moscow Institute of Physics and Technology, Institutskiy Pereulok
9, 141701, Dolgoprudny, Moscow Region, Russia
Vasilisa Koshkina
Moscow Institute of Physics and Technology, Institutskiy Pereulok
9, 141701, Dolgoprudny, Moscow Region, Russia
Polina Shishkova
Shirshov Institute of Oceanology, RAS, Nakhimovsky ave. 36, 117997,
Moscow, Russia
Elizaveta Ezhova
Moscow Institute of Physics and Technology, Institutskiy Pereulok
9, 141701, Dolgoprudny, Moscow Region, Russia
Mikhail Krinitsky
Shirshov Institute of Oceanology, RAS, Nakhimovsky ave. 36, 117997,
Moscow, Russia
Olga Razorenova
Shirshov Institute of Oceanology, RAS, Nakhimovsky ave. 36, 117997,
Moscow, Russia
Klaus Peter Koltermann
Faculty of Geography, Lomonosov Moscow State University, Moscow, 119991, Russia
Vladimir Tereschenkov
Shirshov Institute of Oceanology, RAS, Nakhimovsky ave. 36, 117997,
Moscow, Russia
Alexey Sokov
Shirshov Institute of Oceanology, RAS, Nakhimovsky ave. 36, 117997,
Moscow, Russia
Related authors
No articles found.
David Curbelo-Hernández, Fiz F. Pérez, Melchor González-Dávila, Sergey V. Gladyshev, Aridane G. González, David González-Santana, Antón Velo, Alexey Sokov, and J. Magdalena Santana-Casiano
Biogeosciences, 21, 5561–5589, https://doi.org/10.5194/bg-21-5561-2024, https://doi.org/10.5194/bg-21-5561-2024, 2024
Short summary
Short summary
The study evaluated CO2–carbonate system dynamics in the North Atlantic subpolar gyre during 2009–2019. Significant ocean acidification, largely due to rising anthropogenic CO2 levels, was found. Cooling, freshening, and enhanced convective processes intensified this trend, affecting calcite and aragonite saturation. The findings contribute to a deeper understanding of ocean acidification and improve our knowledge about its impact on marine ecosystems.
Pedro Colombo, Bernard Barnier, Thierry Penduff, Jérôme Chanut, Julie Deshayes, Jean-Marc Molines, Julien Le Sommer, Polina Verezemskaya, Sergey Gulev, and Anne-Marie Treguier
Geosci. Model Dev., 13, 3347–3371, https://doi.org/10.5194/gmd-13-3347-2020, https://doi.org/10.5194/gmd-13-3347-2020, 2020
Short summary
Short summary
In the ocean circulation model NEMO, the representation of the overflow of dense Arctic waters through the Denmark Strait is investigated. In this
z-coordinate context, sensitivity tests show that the mixing parameterizations preferably act along the model grid slope. Thus, the representation of the overflow is more sensitive to resolution than to parameterization and is best when the numerical grid matches the local topographic slope.
Nikolay Alexeevsky, Dmitry V. Magritsky, Klaus Peter Koltermann, Inna Krylenko, and Pavel Toropov
Nat. Hazards Earth Syst. Sci., 16, 1289–1308, https://doi.org/10.5194/nhess-16-1289-2016, https://doi.org/10.5194/nhess-16-1289-2016, 2016
Short summary
Short summary
Inundations on the Black Sea coast of the Krasnodar territory of the Russian Federation were analysed for 1945 to 2013. Risks, hazards and damage from inundations here are some of the highest in the country. The large quantity and the extremeness of rainfall, and the intense flood regimes of the rivers are the main contributors. Additionally, anthropogenic impact such as badly planned economic activities in channels, floodplains and on river watersheds strongly enhance the effects.
V. S. Arkhipkin, F. N. Gippius, K. P. Koltermann, and G. V. Surkova
Nat. Hazards Earth Syst. Sci., 14, 2883–2897, https://doi.org/10.5194/nhess-14-2883-2014, https://doi.org/10.5194/nhess-14-2883-2014, 2014
Related subject area
Domain: ESSD – Ocean | Subject: Physical oceanography
MASCS 1.0: synchronous atmospheric and oceanic data from a cross-shaped moored array in the northern South China Sea during 2014–2015
Reprocessing of eXpendable BathyThermograph (XBT) profiles from the Ligurian and Tyrrhenian seas over the time period 1999–2019 with a full metadata upgrade
Coastal Atmosphere and Sea Time Series (CoASTS) and Bio-Optical mapping of Marine Properties (BiOMaP): the CoASTS-BiOMaP dataset
Spatio-temporal changes in China's mainland shorelines over 30 years using Landsat time series data (1990–2019)
ISASO2: recent trends and regional patterns of ocean dissolved oxygen change
Constructing a 22-year internal wave dataset for the northern South China Sea: spatiotemporal analysis using MODIS imagery and deep learning
Near-real-time atmospheric and oceanic science products of Himawari-8 and Himawari-9 geostationary satellites over the South China Sea
High-resolution observations of the ocean upper layer south of Cape St. Vincent, the western northern margin of the Gulf of Cádiz
Catalogue of coastal-based instances with bathymetric and topographic data
Oceanographic monitoring in Hornsund fjord, Svalbard
Salinity and Stratification at the Sea Ice Edge (SASSIE): an oceanographic field campaign in the Beaufort Sea
Weekly green tide mapping in the Yellow Sea with deep learning: integrating optical and synthetic aperture radar ocean imagery
IAPv4 ocean temperature and ocean heat content gridded dataset
Probabilistic reconstruction of sea-level changes and their causes since 1900
Global Coastal Characteristics (GCC): a global dataset of geophysical, hydrodynamic, and socioeconomic coastal indicators
Insights from a topo-bathymetric and oceanographic dataset for coastal flooding studies: the French Flooding Prevention Action Program of Saint-Malo
Gap-filling techniques applied to the GOCI-derived daily sea surface salinity product for the Changjiang diluted water front in the East China Sea
A daily reconstructed chlorophyll-a dataset in the South China Sea from MODIS using OI-SwinUnet
Underwater light environment in Arctic fjords
A new multi-resolution bathymetric dataset of the Gulf of Naples (Italy) from complementary multi-beam echosounders
Multiyear surface wave dataset from the subsurface “DeepLev” eastern Levantine moored station
A Submesoscale Eddy Identification Dataset in the Northwest Pacific Ocean Derived from GOCI I Chlorophyll–a Data based on Deep Learning
SDUST2020MGCR: a global marine gravity change rate model determined from multi-satellite altimeter data
Lagrangian surface drifter observations in the North Sea: an overview of high-resolution tidal dynamics and surface currents
The physical and biogeochemical parameters along the coastal waters of Saudi Arabia during field surveys in summer, 2021
A Lagrangian coherent eddy atlas for biogeochemical applications in the North Pacific Subtropical Gyre
Global marine gravity gradient tensor inverted from altimetry-derived deflections of the vertical: CUGB2023GRAD
Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
3D reconstruction of horizontal and vertical quasi-geostrophic currents in the North Atlantic Ocean
Laboratory data linking the reconfiguration of and drag on individual plants to the velocity structure and wave dissipation over a meadow of salt marsh plants under waves with and without current
Exploring multi-decadal time series of temperature extremes in Australian coastal waters
Measurements of morphodynamics of a sheltered beach along the Dutch Wadden Sea
Lagoon hydrodynamics of pearl farming islands: the case of Gambier (French Polynesia)
Oceanographic dataset collected during the 2021 scientific expedition of the Canadian Coast Guard Ship Amundsen
Extension of a high temporal resolution sea level time series at Socoa (Saint-Jean-de-Luz, France) back to 1875
Hyperspectral reflectance of pristine, ocean weathered and biofouled plastics from a dry to wet and submerged state
Lagoon hydrodynamics of pearl farming atolls: the case of Raroia, Takapoto, Apataki and Takaroa (French Polynesia)
Measurements of nearshore ocean-surface kinematics through coherent arrays of free-drifting buoys
A Mediterranean drifter dataset
The DTU21 global mean sea surface and first evaluation
A dataset for investigating socio-ecological changes in Arctic fjords
Dataset of depth and temperature profiles obtained from 2012 to 2020 using commercial fishing vessels of the AdriFOOS fleet in the Adriatic Sea
Measurements and modeling of water levels, currents, density, and wave climate on a semi-enclosed tidal bay, Cádiz (southwest Spain)
Wind wave and water level dataset for Hornsund, Svalbard (2013–2021)
Deep-water hydrodynamic observations around a cold-water coral habitat in a submarine canyon in the eastern Ligurian Sea (Mediterranean Sea)
Ocean cross-validated observations from R/Vs L'Atalante, Maria S. Merian, and Meteor and related platforms as part of the EUREC4A-OA/ATOMIC campaign
A global Lagrangian eddy dataset based on satellite altimetry
The sea level time series of Trieste, Molo Sartorio, Italy (1869–2021)
Southern Europe and western Asian marine heatwaves (SEWA-MHWs): a dataset based on macroevents
An evaluation of long-term physical and hydrochemical measurements at the Sylt Roads Marine Observatory (1973–2019), Wadden Sea, North Sea
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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°.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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 Discuss., https://doi.org/10.5194/essd-2024-135, https://doi.org/10.5194/essd-2024-135, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
In 2022, the new CNR Research Vessel GAIA BLU explored the seafloor of the Naples and Pozzuoli Gulfs, and the Amalfi coastal area (Tyrrhenian Sea, Italy) from 50 to 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 abrupt to geological changes and human impacts. These findings support future geological and geomorphological investigations and mapping and monitoring seafloor and habitats.
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
Short summary
Short summary
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.
Yan Wang, Jie Yang, and Ge Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-188, https://doi.org/10.5194/essd-2024-188, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
Mesoscale eddies are ubiquitous in the ocean and account for 90 % of its kinetic energy, but their generation and dissipation struggle to observe with 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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Oriane Bruyère, Romain Le Gendre, Vetea Liao, and Serge Andréfouët
Earth Syst. Sci. Data, 16, 667–679, https://doi.org/10.5194/essd-16-667-2024, https://doi.org/10.5194/essd-16-667-2024, 2024
Short summary
Short summary
During 2019–2020, the lagoon and forereefs of Gambier Island (French Polynesia) were monitored with oceanographic instruments to measure lagoon hydrodynamics and ocean–lagoon water exchanges. Gambier Island is a key black pearl producer and the study goal was to understand the processes influencing spat collection of pearl oyster Pinctada margaritifera, the species used to produce black pearls. The data set is provided to address local pearl farming questions and other investigations as well.
Tahiana Ratsimbazafy, Thibaud Dezutter, Amélie Desmarais, Daniel Amirault, Pascal Guillot, and Simon Morisset
Earth Syst. Sci. Data, 16, 471–499, https://doi.org/10.5194/essd-16-471-2024, https://doi.org/10.5194/essd-16-471-2024, 2024
Short summary
Short summary
The Canadian Coast Guard Ship has collected oceanographic data across the Canadian Arctic annually since 2003. Such activity aims to support Canadian and international researchers. The ship has several instruments with cutting-edge technology available for research each year during the summer. The data presented here include measurements of physical, chemical and biological variables during the year 2021. Datasets collected from each expedition are available free of charge for the public.
Md Jamal Uddin Khan, Inge Van Den Beld, Guy Wöppelmann, Laurent Testut, Alexa Latapy, and Nicolas Pouvreau
Earth Syst. Sci. Data, 15, 5739–5753, https://doi.org/10.5194/essd-15-5739-2023, https://doi.org/10.5194/essd-15-5739-2023, 2023
Short summary
Short summary
Established in the southwest of France in 1875, the Socoa tide gauge is part of the national sea level monitoring network in France. Through a data archaeology exercise, a large part of the records of this gauge in paper format have been rescued and digitized. The digitized data were processed and quality controlled to produce a uniform hourly sea level time series covering 1875 to the present day. This new dataset is important for climate research on sea level rise, tides, and storm surges.
Robin V. F. de Vries, Shungudzemwoyo P. Garaba, and Sarah-Jeanne Royer
Earth Syst. Sci. Data, 15, 5575–5596, https://doi.org/10.5194/essd-15-5575-2023, https://doi.org/10.5194/essd-15-5575-2023, 2023
Short summary
Short summary
We present a high-quality dataset of hyperspectral point and multipixel reflectance observations of virgin, ocean-harvested, and biofouled multipurpose plastics. Biofouling and a submerged scenario of the dataset further extend the variability in open-access spectral reference libraries that are important in algorithm development with relevance to remote sensing use cases.
Oriane Bruyère, Romain Le Gendre, Mathilde Chauveau, Bertrand Bourgeois, David Varillon, John Butscher, Thomas Trophime, Yann Follin, Jérôme Aucan, Vetea Liao, and Serge Andréfouët
Earth Syst. Sci. Data, 15, 5553–5573, https://doi.org/10.5194/essd-15-5553-2023, https://doi.org/10.5194/essd-15-5553-2023, 2023
Short summary
Short summary
During 2018–2022, four pearl farming Tuamotu atolls (French Polynesia) were studied with oceanographic instruments to measure lagoon hydrodynamics and ocean-lagoon water exchanges. The goal was to gain knowledge on the processes influencing the spat collection of the pearl oyster Pinctada margaritifera, the species used to produce black pearls. A worldwide unique oceanographic atoll data set is provided to address local pearl farming questions and other fundamental and applied investigations.
Edwin Rainville, Jim Thomson, Melissa Moulton, and Morteza Derakhti
Earth Syst. Sci. Data, 15, 5135–5151, https://doi.org/10.5194/essd-15-5135-2023, https://doi.org/10.5194/essd-15-5135-2023, 2023
Short summary
Short summary
Measuring ocean waves nearshore is essential for understanding how the waves impact our coastlines. We designed and deployed many small wave buoys in the nearshore ocean over 27 d in Duck, North Carolina, USA, in 2021. The wave buoys measure their motion as they drift. In this paper, we describe multiple levels of data processing. We explain how this dataset can be used in future studies to investigate nearshore wave kinematics, transport of buoyant particles, and wave-breaking processes.
Alberto Ribotti, Antonio Bussani, Milena Menna, Andrea Satta, Roberto Sorgente, Andrea Cucco, and Riccardo Gerin
Earth Syst. Sci. Data, 15, 4651–4659, https://doi.org/10.5194/essd-15-4651-2023, https://doi.org/10.5194/essd-15-4651-2023, 2023
Short summary
Short summary
Over 100 experiments were realized between 1998 and 2022 in the Mediterranean Sea using surface coastal and offshore Lagrangian drifters. Raw data were initially unified and pre-processed. Then, the integrity of the received data packages was checked and incomplete ones were discarded. Deployment information was retrieved and integrated into the PostgreSQL database. Data were interpolated at defined time intervals, providing a dataset of 158 trajectories, available in different formats.
Ole Baltazar Andersen, Stine Kildegaard Rose, Adili Abulaitijiang, Shengjun Zhang, and Sara Fleury
Earth Syst. Sci. Data, 15, 4065–4075, https://doi.org/10.5194/essd-15-4065-2023, https://doi.org/10.5194/essd-15-4065-2023, 2023
Short summary
Short summary
The mean sea surface (MSS) is an important reference for mapping sea-level changes across the global oceans. It is widely used by space agencies in the definition of sea-level anomalies as mapped by satellite altimetry from space. Here a new fully global high-resolution mean sea surface called DTU21MSS is presented, and a suite of evaluations are performed to demonstrate its performance.
Robert W. Schlegel and Jean-Pierre Gattuso
Earth Syst. Sci. Data, 15, 3733–3746, https://doi.org/10.5194/essd-15-3733-2023, https://doi.org/10.5194/essd-15-3733-2023, 2023
Short summary
Short summary
A single dataset was created for investigations of changes in the socio-ecological systems within seven Arctic fjords by amalgamating roughly 1400 datasets from a number of sources. The many variables in these data were organised into five distinct categories and classified into 14 key drivers. Data for seawater temperature and salinity are available from the late 19th century, with some other drivers having data available from the 1950s and 1960s and the others starting from the 1990s onward.
Pierluigi Penna, Filippo Domenichetti, Andrea Belardinelli, and Michela Martinelli
Earth Syst. Sci. Data, 15, 3513–3527, https://doi.org/10.5194/essd-15-3513-2023, https://doi.org/10.5194/essd-15-3513-2023, 2023
Short summary
Short summary
This work presents the pressure (depth) and temperature profile dataset provided by the AdriFOOS infrastructure in the Adriatic Sea (Mediterranean basin) from 2012 to 2020. Data were subject to quality assurance (QA) and quality control (QC). This infrastructure, based on the ships of opportunity principle and involving the use of commercial fishing vessels, is able to produce huge amounts of useful data both for operational oceanography and fishery biology purposes.
Carmen Zarzuelo, Alejandro López-Ruiz, María Bermúdez, and Miguel Ortega-Sánchez
Earth Syst. Sci. Data, 15, 3095–3110, https://doi.org/10.5194/essd-15-3095-2023, https://doi.org/10.5194/essd-15-3095-2023, 2023
Short summary
Short summary
This paper presents a hydrodynamic dataset for the Bay of Cádiz in southern Spain, a paradigmatic example of a tidal bay of complex geometry under high anthropogenic pressure. The dataset brings together measured and modeled data on water levels, currents, density, and waves for the period 2012–2015. It allows the characterization of the bay dynamics from intratidal to seasonal scales. Potential applications include the study of ocean–bay interactions, wave propagation, or energy assessments.
Zuzanna M. Swirad, Mateusz Moskalik, and Agnieszka Herman
Earth Syst. Sci. Data, 15, 2623–2633, https://doi.org/10.5194/essd-15-2623-2023, https://doi.org/10.5194/essd-15-2623-2023, 2023
Short summary
Short summary
Monitoring ocean waves is important for understanding wave climate and seasonal to longer-term (years to decades) changes. In the Arctic, there is limited freely available observational wave information. We placed sensors at the sea bottom of six bays in Hornsund fjord, Svalbard, and calculated wave energy, wave height and wave period for full hours between July 2013 and February 2021. In this paper, we present the procedure of deriving wave properties from raw pressure measurements.
Tiziana Ciuffardi, Zoi Kokkini, Maristella Berta, Marina Locritani, Andrea Bordone, Ivana Delbono, Mireno Borghini, Maurizio Demarte, Roberta Ivaldi, Federica Pannacciulli, Anna Vetrano, Davide Marini, and Giovanni Caprino
Earth Syst. Sci. Data, 15, 1933–1946, https://doi.org/10.5194/essd-15-1933-2023, https://doi.org/10.5194/essd-15-1933-2023, 2023
Short summary
Short summary
This paper presents the results of the first 2 years of the Levante Canyon Mooring, a mooring line placed since 2020 in the eastern Ligurian Sea, to study a canyon area at about 600 m depth characterized by the presence of cold-water living corals. It provides hydrodynamic and thermohaline measurements along the water column, describing a water-mass distribution coherent with previous evidence in the Ligurian Sea. The data also show a Northern Current episodic and local reversal during summer.
Pierre L'Hégaret, Florian Schütte, Sabrina Speich, Gilles Reverdin, Dariusz B. Baranowski, Rena Czeschel, Tim Fischer, Gregory R. Foltz, Karen J. Heywood, Gerd Krahmann, Rémi Laxenaire, Caroline Le Bihan, Philippe Le Bot, Stéphane Leizour, Callum Rollo, Michael Schlundt, Elizabeth Siddle, Corentin Subirade, Dongxiao Zhang, and Johannes Karstensen
Earth Syst. Sci. Data, 15, 1801–1830, https://doi.org/10.5194/essd-15-1801-2023, https://doi.org/10.5194/essd-15-1801-2023, 2023
Short summary
Short summary
In early 2020, the EUREC4A-OA/ATOMIC experiment took place in the northwestern Tropical Atlantic Ocean, a dynamical region where different water masses interact. Four oceanographic vessels and a fleet of autonomous devices were deployed to study the processes at play and sample the upper ocean, each with its own observing capability. The article first describes the data calibration and validation and second their cross-validation, using a hierarchy of instruments and estimating the uncertainty.
Tongya Liu and Ryan Abernathey
Earth Syst. Sci. Data, 15, 1765–1778, https://doi.org/10.5194/essd-15-1765-2023, https://doi.org/10.5194/essd-15-1765-2023, 2023
Short summary
Short summary
Nearly all existing datasets of mesoscale eddies are based on the Eulerian method because of its operational simplicity. Using satellite observations and a Lagrangian method, we present a global Lagrangian eddy dataset (GLED v1.0). We conduct the statistical comparison between two types of eddies and the dataset validation. Our dataset offers relief from dilemma that the Eulerian eddy dataset is nearly the only option for studying mesoscale eddies.
Fabio Raicich
Earth Syst. Sci. Data, 15, 1749–1763, https://doi.org/10.5194/essd-15-1749-2023, https://doi.org/10.5194/essd-15-1749-2023, 2023
Short summary
Short summary
In the changing climate, long sea level time series are essential for studying the variability of the mean sea level and the occurrence of extreme events on different timescales. This work summarizes the rescue and quality control of the ultra-centennial sea level data set of Trieste, Italy. The whole time series is characterized by a linear trend of about 1.4 mm yr−1, the period corresponding to the altimetry coverage by a trend of about 3.0 mm yr−1, similarly to the global ocean.
Giulia Bonino, Simona Masina, Giuliano Galimberti, and Matteo Moretti
Earth Syst. Sci. Data, 15, 1269–1285, https://doi.org/10.5194/essd-15-1269-2023, https://doi.org/10.5194/essd-15-1269-2023, 2023
Short summary
Short summary
We present a unique observational dataset of marine heat wave (MHW) macroevents and their characteristics over southern Europe and western Asian (SEWA) basins in the SEWA-MHW dataset. This dataset is the first effort in the literature to archive extremely hot sea surface temperature macroevents. The advantages of the availability of SEWA-MHWs are avoiding the waste of computational resources to detect MHWs and building a consistent framework which would increase comparability among MHW studies.
Johannes J. Rick, Mirco Scharfe, Tatyana Romanova, Justus E. E. van Beusekom, Ragnhild Asmus, Harald Asmus, Finn Mielck, Anja Kamp, Rainer Sieger, and Karen H. Wiltshire
Earth Syst. Sci. Data, 15, 1037–1057, https://doi.org/10.5194/essd-15-1037-2023, https://doi.org/10.5194/essd-15-1037-2023, 2023
Short summary
Short summary
The Sylt Roads (Wadden Sea) time series is illustrated. Since 1984, the water temperature has risen by 1.1 °C, while pH and salinity decreased by 0.2 and 0.3 units. Nutrients (P, N) displayed a period of high eutrophication until 1998 and have decreased since 1999, while Si showed a parallel increase. Chlorophyll did not mirror these changes, probably due to a switch in nutrient limitation. Until 1998, algae were primarily limited by Si, and since 1999, P limitation has become more important.
Cited articles
Alberello, A., Bennetts, L., Toffoli, A., and Derkani, M.: Antarctic
Circumnavigation Expedition 2017: WaMoS Data, Ver. 3, Australian Antarctic
Data Centre, https://doi.org/10.26179/5ed0a30aaf764, 2020.
An, J., Huang, W., and Gill, E. W.: A Self-Adaptive Wavelet-Based Algorithm
for Wave Measurement Using Nautical Radar,
IEEE T. Geosci. Remote, 53, 567–577, https://doi.org/10.1109/tgrs.2014.2325782,
2015.
Andreas, E. L.: Fallacies of the enthalpy transfer coefficient over the
ocean in high winds, J. Atmos. Sci., 68, 1435–1445,
https://doi.org/10.1175/2011JAS3714.1, 2011.
Babanin, A. V.: On a wave-induced turbulence and a wave-mixed upper ocean
layer, Geophys. Res. Lett., 33, L20605, https://doi.org/10.1029/2006GL027308, 2006.
Babanin, A. V.: Breaking and Dissipation of Ocean Surface Waves, Cambridge,
Cambridge University Press, https://doi.org/10.1017/CBO9780511736162, 2011.
Blomquist, B. W., Brumer, S. E., Fairall, C. W., Huebert, B. J., Zappa, C.
J., Brooks, I. M., Yang, M., Bariteau, L., Prytherch, J., Hare, J. E.,
Czerski, H., Matei, A., and Pascal, R. W.: Wind speed and sea state
dependencies of air-sea gas transfer: Results from the high wind speed gas
exchange study (HiWinGS), J. Geophys. Res.-Oceans, 122,
8034–8062, https://doi.org/10.1002/2017JC013181, 2017.
Buckingham, C. E., Lucas, N. S., Belcher, S. E., Rippeth, T. P., Grant, A.
L. M., Le Sommer, J., Ajayi, Opeoluwa, A., and Garabato, A. C. N.: The
contribution of surface and submesoscale processes to turbulence in the open
ocean surface boundary layer, J. Adv. Model. Earth Sy.,
11, 4066–4094, https://doi.org/10.1029/2019MS001801, 2019.
Buckley, J. R. and Aler, J.: Estimation of ocean wave height from grazing incidence microwave backscatter, in:
IGARSS'97, 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings, Remote
Sensing – A Scientific Vision for Sustainable Development, 2, 1015–1017,
https://doi.org/10.1109/IGARSS.1997.615328, 1997.
Buckley, J. R. and Aler, J.: Enhancements in the determination of ocean surface wave height from grazing
incidence microwave backscatter, in: IGARSS'98, Sensing and Managing the Environment. 1998 IEEE
International Geoscience and Remote Sensing, Symposium Proceedings, Cat. No.98CH36174, 5, 2487–2489,
https://doi.org/10.1109/IGARSS.1998.702254, 1998.
Campana, J., Terrill, E. J., and de Paolo, T.: A new inversion method to
obtain upper-ocean current-depth profiles using X-band observations of
deep-water waves, J. Atmos. Ocean. Tech., 34, 957–970,
https://doi.org/10.1175/JTECH-D-16-0120.1, 2017.
Casas-Prat, M., Wang, X. L., and Swart, N.: CMIP5-based global wave climate
projections including the entire Arctic Ocean, Ocean Model., 123, 66–85,
2018.
Cavaleri, L., Fox-Kemper, B., and Hemer, M.: Wind waves in the coupled
climate system, B. Am. Meteorol. Soc., 93, 1651–1661, 2012.
Cavaleri, L., Barbariol, F., and Benetazzo, A.: Wind-wave modeling: Where we
are, where to go, Journal of Marine Science and Engineering, 260, 8,
https://doi.org/10.3390/JMSE8040260, 2020.
Chen, Z., He, Y., Zhang, B., and Qiu, Z.: Determination of nearshore sea
surface wind vector from marine X-band radar images, Ocean Eng., 96,
79–85, https://doi.org/10.1016/J.OCEANENG.2014.12.019, 2015.
Chen, Z., Zhang, B., Kudryavtsev, V., He, Y., and Chu, X.: Estimation of sea
surface current from X-band marine radar images by cross-spectrum analysis,
Remote Sensing, 11, 1031, https://doi.org/10.3390/rs11091031, 2019.
Crombie, D. D.: Doppler spectrum of sea echo at 13.56 Mc./s, Nature, 175, 681–682, https://doi.org/10.1038/175681a0, 1955.
Cronin, M. F., Gentemann, C. L., Edson, J., Ueki, I., Bourassa, M., Brown,
S., Clayson, C. A., Fairall, C. W., Farrar, J. T., Gille, S.T., Gulev, S.,
Josey, S. A., Kato, S., Katsumata, M., Kent, E., Krug, M., Minnett, P. J.,
Parfitt, R., Pinker, R. T., Stackhouse, P. W. Jr, Swart, S., Tomita, H.,
Vandemark, D., Weller, R. A., Yoneyama, K., Yu, L. and Zhang, D.: Air-sea
fluxes with a focus on heat and momentum, Front. Mar. Sci., 6, 430, https://doi.org/10.3389/fmars.2019.00430, 2019.
Dankert, H. and Horstmann, J.: A marine radar wind sensor, J. Atmos. Ocean. Tech., 24, 1629–1642,
https://doi.org/10.1175/JTECH2083.1, 2007.
Dankert, H., Horstmann, J., and Rosenthal, W.: Ocean wind fields retrieved
from radar-image sequences, J. Geophys. Res.-Oceans,
108, 3352, https://doi.org/10.1029/2003jc002056, 2003.
Derkani, M., Alberello, A., and Toffoli, A.: Antarctic Circumnavigation
Expedition 2017: WaMoS Data Product, Ver. 1, Australian Antarctic Data
Centre, https://doi.org/10.26179/5e9d038c396f2, 2020.
Derkani, M. H., Alberello, A., Nelli, F., Bennetts, L. G., Hessner, K. G., MacHutchon, K., Reichert, K., Aouf, L., Khan, S., and Toffoli, A.: Wind, waves, and surface currents in the Southern Ocean: observations from the Antarctic Circumnavigation Expedition, Earth Syst. Sci. Data, 13, 1189–1209, https://doi.org/10.5194/essd-13-1189-2021, 2021.
Drouet, C., Cellier, N., Raymond, J., and Martigny, D.: Sea state estimation
based on ship motions measurements and data fusion, in Proceedings of the
International Conference on Offshore Mechanics and Arctic Engineering –
OMAE, 5, Nantes, France, 9–14 June 2013, OMAE2013-10657,
https://doi.org/10.1115/OMAE2013-10657, 2013.
Fan, Y. and Griffies, S. M.: Impacts of parameterized langmuir turbulence
and nonbreaking wave mixing in global climate simulations, J.
Climate, 27, 4752–4775, https://doi.org/10.1175/JCLI-D-13-00583.1, 2014.
Gangeskar, R.: Wave height derived by texture analysis of X-band radar sea surface images, IGARSS 2000,
IEEE 2000 International Geoscience and Remote Sensing Symposium, Taking the Pulse of the Planet: The Role
of Remote Sensing in Managing the Environment, Proceedings, Cat. No.00CH37120, Honolulu, Hawaii, USA,
24–28 July, 7, 2952–2959, https://doi.org/10.1109/IGARSS.2000.860301, 2000.
Gangeskar, R.: An algorithm for estimation of wave height from shadowing in
X-band radar sea surface images, IEEE T. Geosci. Remote, 52, 3373–3381, https://doi.org/10.1109/TGRS.2013.2272701, 2014.
Gavrikov, A., Ivonin, D., Sharmar, V., Tilinina, N., Gulev, S., Suslov, A.,
Fadeev, V., Trofimov, B., Bargman, S., Salavatova, L., Koshkina, V.,
Shishkova, P., and Sokov, A.,: Wind waves in the North Atlantic and Arctic
from ship navigational radar (SeaVision system) and wave buoy Spotter during
three research cruises in 2020 and 2021, PANGAEA [data set],
https://doi.org/10.1594/PANGAEA.939620, 2021.
Greenwood, C., Vogler, A., Morrison, J., and Murray, A.: The approximation
of a sea surface using a shore mounted X-band radar with low grazing angle.,
Remote Sens. Environ., 204, 439–447,
https://doi.org/10.1016/j.rse.2017.10.012, 2018.
Gulev, S. K. and Hasse, L.: North Atlantic wind waves and wind stress from
voluntary observing data, J. Phys.Oceanogr., 28, 1107–1130, 1998.
Gulev, S. K., Grigorieva, V., Sterl, A., and Woolf, D.: Assessment of the
reliability of wave observations from voluntary observing ships: insights
from the validation of a global wind wave climatology based on voluntary
observing ship data, J. Geophys. Res.-Oceans, 108, 3236,
https://doi.org/10.1029/2002JC001437, 2003.
Hasselmann, K.: Theory of synthetic aperture radar ocean imaging: a MARSEN
view, J. Geophys. Res., 90,
4659–4686,
https://doi.org/10.1029/JC090iC03p04659, 1985.
Hasselmann, S., Hasselmann, K., Allender, J. H., and Barnett, T. P.:
Computations and parameterizations of the nonlinear energy transfer in a
gravity-wave spectrum. Part II: parameterizations of the nonlinear energy
transfer for application in wave models, J. Phys. Oceanogr.,
15, 1378–1391, https://doi.org/10.1175/1520-0485(1985)015<1378:CAPOTN>2.0.CO;2, 1985.
Hatten, H., Seemann, J., Horstmann, J., and Ziemer, F.: Azimuthal dependence of the radar cross section and
the spectral background noise of a nautical radar at grazing incidence, in: IGARSS'98, Sensing and Managing
the Environment, 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings, Cat.
No.98CH36174, Seattle, WA, USA, 6–10 July, 5, 2490–2492, https://doi.org/10.1109/IGARSS.1998.702255,
1998.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R.,
Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J.,
Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes,
M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P.,
Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis,
Q. J. Roy. Meteor. Soc., 146, 1999–2049,
https://doi.org/10.1002/qj.3803, 2020.
Hessner, K., Reichert, K., Dittmer J., Nieto-Borge, J. C., and Heinz, G.: Evaluation of Wamos II Wave Data, in: Ocean
Wave Measurement and Analysis (2001), edited by: Edge, B. L. and Hemsley, J. M., American Society of Civil
Engineers, 221–230, https://doi.org/10.1061/40604(273)23, 2001.
Hessner, K. and Hanson, J. L.: Extraction of coastal wavefield properties from X-band radar, in: 2010 IEEE
International Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, USA, 25–30 July, 4326–4329,
https://doi.org/10.1109/IGARSS.2010.5650134, 2010.
Hilmer, T. and Thornhill, E.: Observations of predictive skill for real-time Deterministic Sea Waves from the
WaMoS II, in: OCEANS 2015 – MTS/IEEE Washington, 1–7,
https://doi.org/10.23919/OCEANS.2015.7404496, 2015.
Huang, W., Gill, E. W., and An, J.: Iterative least-squares-based wave
measurement using X-band nautical radar, IET Radar Sonar Nav.,
8, 853–863, 2014.
Hwang, P. A., Sletten, M. A., and Toporkov, J. V.: A note on doppler
processing of coherent radar backscatter from the water surface: With
application to ocean surface wave measurements, J. Geophys. Res.-Oceans, 115, C03026, https://doi.org/10.1029/2009JC005870, 2010.
Ivonin, D. V., Telegin, V. A., Chernyshov, P. V., Myslenkov, S. A., and
Kuklev S. B.: Possibilities of X-band nautical radars for monitoring of wind
waves near the coast, Oceanology, 56, 591–600,
https://doi.org/10.1134/S0001437016030103, 2016.
Johnson, J. T., Burkholder, R. J., Toporkov, J. V., Lyzenga, D. R., and
Plant, W. J.: A numerical study of the retrieval of sea surface height
profiles from low grazing angle radar data, IEEE T. Geosci. Remote, 47, 1641–1650, https://doi.org/10.1109/IGARSS.2010.5650134, 2009.
Kanevsky, M. B.: Radar Imaging of the Ocean Waves, Elsevier, ISBN 9780444532091, 179–180, https://doi.org/10.1016/B978-0-444-53209-1.00010-1,
2009.
Karaev, V. Y., Kanevsky, M. B., Meshkov, E. M., Titov, V. I., and Balandina, G.
N.: Measurement of the variance of water surface slopes by a radar:
Verification of algorithms, Radiophys. Quantum El., 51, 360–371,
https://doi.org/10.1007/s11141-008-9042-6, 2008.
McWilliams, J. C. and Fox-Kemper, B.: Oceanic wave-balanced surface fronts
and filaments, J. Fluid Mech., 730, 464–490,
https://doi.org/10.1017/jfm.2013.348, 2013.
Morim, J., Trenham, C., Hemer, M., Wang, X. L., Mori, N., Casas-Prat, M., Semedo, A., Shimura, T., Timmermans,
B., Camus, P., Bricheno, L., Mentaschi, L., Dobrynin, M., Feng, Y., and Erikson, L.: A global ensemble of ocean wave
climate projections from CMIP5-driven models, Sci. Data, 7, 105,
https://doi.org/10.1038/s41597-020-0446-2, 2020.
Morim, J., Erikson, L. H., Hemer, M., Young, I., Wang, X., Mori, N., Shimura, T., Stopa, J., Trenham, C., Mentaschi,
L., Gulev, S., Sharmar, V. D., Bricheno, L., Wolf, J., Aarnes, O., Perez, J., Bidlot, J., Semedo, A., Reguero, B., and
Wahl, T.: A global ensemble of ocean wave
climate statistics from contemporary wave reanalysis and hindcasts, Sci. Data,
9, 358, https://doi.org/10.1038/s41597-022-01459-3, 2022.
Nagai, T., Satomi, S., Terada, Y., Kato, T., Nukada, K., and Kudaka, M.: GPS buoy and seabed installed wave
gauge application to offshore tsunami observation, Proceedings of the International Offshore and Polar
Engineering Conference, Seoul, Korea, 19–24 June, ISOPE-I-05-282,
https://onepetro.org/ISOPEIOPEC/proceedings-abstract/ISOPE05/All-ISOPE05/ISOPE-I-05-282/9448 (last access: 4 August 2022),
2005.
Nieto-Borge, J. C. N. and Soares, G. C.: Analysis of directional wave fields
using X-band navigation radar, Coast. Eng., 40, 375–391,
https://doi.org/10.1016/S0378-3839(00)00019-3, 2000.
Nieto-Borge, J. C. N., Reichert, K., and Dittmer, J.: Use of nautical radar as a wave
monitoring instrument, Coast. Eng., 37, 331–342, 1999.
Nieto-Borge, J. C. N., Jarabo-Amores, P., De La Mata-Moya, D., and
López-Ferreras, F.: Estimation of ocean wave heights from temporal
sequences of X-band marine radar images, European Signal Processing
Conference, Lüneburg, Germany 4–9 June 2006, 35–41,
https://doi.org/10.1115/OMAE2006-92015, 2006.
Nieto-Borge, J. C. N., Hessner, K., Jarabo-Amores, P., and De La Mata-Moya, D.:
Signal-to-noise ratio analysis to estimate ocean wave heights from X-band
marine radar image time series, IET Radar Sonar Nav., 2, 35–41,
https://doi.org/10.1049/iet-rsn:20070027, 2008.
Park, G. I., Choi, J. W., Kang, Y. T., Ha, M. K., Jang, H. S., Park, J. S.,
and Kwon, S. H.: The application of marine X-band radar to measure wave
condition during sea trial, Journal of Ship and Ocean Technology, 10,
34–48,
2006.
Plant, W. J., Keller, W. C., Reeves, A. B., Uliana, E. A., and Johnson, J.
W.: Airborne microwave doppler measurements of ocean wave directional
spectra, Int. J. Remote Sens., 8, 315–330,
https://doi.org/10.1080/01431168708948644, 1987.
Plant, W. J.: A model for microwave Doppler sea return at high incidence
angles: Bragg scattering from bound, Tilted waves, J. Geophys. Res.-Oceans, 102, 21131–21146, https://doi.org/10.1029/97JC01225, 1997.
Raghukumar, K., Chang, G., Spada, F., Jones, C., Janssen, T., and Gans, A.:
Performance characteristics of “spotter,”' a newly developed real-time
wave measurement buoy, J. Atmos. Ocean. Tech., 36, 1127–1141,
https://doi.org/10.1175/JTECH-D-18-0151.1, 2019.
Reichert, K., Hessner, K., Dannenberg, J., and Traenkmann, I.: X-Band radar
as a tool to determine spectral and single wave properties, in Proceedings
of the International Conference on Offshore Mechanics and Arctic Engineering
– OMAE, Hamburg, Germany, 4–9 June 2006, 683–688,
https://doi.org/10.1115/OMAE2006-92015, 2006.
Ribal, A. and Young, I. R.: Publisher Correction: 33 years of globally
calibrated wave height and wind speed data based on altimeter observations
Sci. Data, 6, 77,
https://doi.org/10.1038/s41597-019-0108-4, 2019.
Ribas-Ribas, M., Helleis, F., Rahlff, J., and Wurl, O.: Air-Sea CO2-exchange
in a large annular wind-wave tank and the effects of surfactants, Front.
Mar. Sci., 5, 457, https://doi.org/10.3389/fmars.2018.00457, 2018.
Rogers, W. E., Babanin, A. V., and Wang, D. W.: Observation-consistent input
and whitecapping dissipation in a model for wind-generated surface waves:
Description and simple calculations, J. Atmos. Ocean. Tech., 29, 1329–1345, https://doi.org/10.1175/JTECH-D-11-00092.1, 2012.
Seemann, J., Ziemer, F., and Senet, C. M.: Method for computing calibrated
ocean wave spectra from measurements with a nautical X-band radar, in: Oceans
Conference Record (IEEE), 2, Halifax, NS, Canada, 6–9 October 1997,
https://doi.org/10.1109/OCEANS.1997.624154, 1997.
Semedo, A., Dobrynin, M., Lemos, G., Behrens, A., Staneva, J., De Vries, H., Sterl, A., Bidlot, J.-R., Miranda, P. M.
A., and Murawski, J.: CMIP5-Derived Single-Forcing,
Single-Model, and Single-Scenario Wind-Wave Climate Ensemble: Configuration
and Performance Evaluation, Journal of Marine Science and Engineering, 6,
90, https://doi.org/10.3390/jmse6030090, 2018.
Senet, C. M., Seemann, J., and Ziemer, F.: The near-surface current velocity
determined from image sequences of the sea surface, IEEE T.
Geosci. Remote, 39, 492–505, https://doi.org/10.1109/36.911108,
2001.
Sharmar, V. D., Markina, M. Y., and Gulev, S. K.: Global ocean wind-wave model
hindcasts forced by different reanalyzes: a comparative assessment, J. Geophys. Res.-Oceans, 126, e2020JC016710, https://doi.org/10.1029/2020JC016710, 2021.
Smit, P. B., Houghton, I. A., Jordanova, K., Portwood, T., Shapiro, E., Clark,
D., Sosa, M., and Janssen, T. T.: Assimilation of significant wave height
from distributed ocean wave sensors, Ocean Model., 15, 101738,
https://doi.org/10.1016/j.ocemod.2020.101738, 2021.
Story, W. R., Fu, T. C., and Hackett, E. E.: Radar measurement of ocean waves, in: Proceedings of the
International Conference on Offshore Mechanics and Arctic Engineering – OMAE TS71, Rotterdam, The
Netherlands, 19–24 June, 6, 707–717, https://doi.org/10.1115/OMAE2011-49895, 2011.
Studholme, J., Fedorov, A. V., Gulev, S. K., Emanuel, K., and Hodges, K.:
Poleward expansion of tropical cyclone latitudes in warming climates, Nat.
Geosci., 15, 14–28, https://doi.org/10.1038/s41561-021-00859-1, 2021.
Swail, V., Jensen, R. E., Lee, B., Turton, J., Thomas, J., Gulev, S.,
Yelland, M., Etala, P., Meldrum, D., Birkemeier, W., Burnett, B., and
Warren, G.: Wave measurements, needs and developments for the next decade in in:
Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society (Vol. 2), Venice, Italy,
21–25 September 2009, edited by: Hall, J., Harrison, D. E., and Stammer, D., ESA Publication WPP-306,
https://doi.org/10.5270/OceanObs09.cwp.87, 2010.
The WAMDI Group: The WAM Model – A Third Generation Ocean Wave Prediction Model, J. Phys. Oceanogr.,
18, 1775–1810, https://doi.org/10.1175/1520-0485(1988)018<1775:TWMTGO>2.0.CO;2, 1988.
Verezemskaya, P., Barnier, B., Gulev, S. K., Gladyshev, S., Molines, J. M.,
Gladyshev, V., Lellouche, J. M., and Gavrikov, A.: Assessing eddying
(1/12∘) ocean reanalysis GLORYS12 using the 14-yr instrumental
record from 59.5∘ N section in the Atlantic, J. Geophys. Res.-Oceans, 126, e2020JC016317, https://doi.org/10.1029/2020JC016317,
2021.
Vicen-Bueno, R., Lido-Muela, C., and Borge, J. C. N.: Estimate of significant
wave height from noncoherent marine radar images by multilayer perceptrons,
Eurasip J. Adv. Sig. Pr., 1, 2012,
https://doi.org/10.1186/1687-6180-2012-84, 2012.
Vicen-Bueno, R., Horstmann, J., Terril, E., de Paolo, T., and Dannenberg, J.:
Real-time ocean wind vector retrieval from marine radar image sequences
acquired at grazing angle, J. Atmos. Ocean. Tech.,
30, 127–139, https://doi.org/10.1175/JTECH-D-12-00027.1, 2013.
WAVEWATCH III Development Group (WW3DG): User manual and system
documentation of WAVEWATCH III R version 6.07. Tech. Note 333,
NOAA/NWS/NCEP/MMAB, College Park, MD, USA, 465 + Appendices,
https://github.com/NOAA-EMC/WW3/wiki/Manual (last access: 5 August 2022), 2019.
Xu, X., Voermans, J. J., Ma, H., Guan, C., and Babanin, A. V.: A Wind–Wave-Dependent Sea Spray Volume Flux
Model Based on Field Experiments, J. Mar. Sci. Eng., 9, 1168, https://doi.org/10.3390/jmse9111168, 2021.
Young, I. R., Rosenthal, W., and Ziemer, F.: A three-dimensional analysis of
marine radar images for the determination of ocean wave directionality and
surface currents, J. Geophys. Res., 90, 1049–1059,
https://doi.org/10.1029/JC090iC01p01049, 1985.
Zieger, S., Babanin, A. V., Rogers, W. E., and Young, I. R.:
Observation-based source terms in the third-generation wave model WAVEWATCH,
Ocean Model., 96, 2–25, 2015.
Short summary
We present wind wave parameter data from research cruises in the North Atlantic in 2020 and 2021 and the SeaVision system for measuring wind wave characteristics with a standard marine navigation X-band radar. We promote the potential of ship navigation X-band radars (when assembled with SeaVision or similar systems) for the development of a new near-global observational network, providing a much larger number of wind wave observations.
We present wind wave parameter data from research cruises in the North Atlantic in 2020 and 2021...
Altmetrics
Final-revised paper
Preprint