Articles | Volume 15, issue 1
https://doi.org/10.5194/essd-15-155-2023
© Author(s) 2023. 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-15-155-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
09 Jan 2023
Data description paper |
| 09 Jan 2023
| 09 Jan 2023
SDUST2020 MSS: a global 1′ × 1′ mean sea surface model determined from multi-satellite altimetry data
Jiajia Yuan
College of Geodesy and Geomatics, Shandong University of Science and
Technology, Qingdao, Shandong, China
School of Geomatics, Anhui University of Science and Technology,
Huainan, Anhui, China
College of Geodesy and Geomatics, Shandong University of Science and
Technology, Qingdao, Shandong, China
Chengcheng Zhu
College of Geodesy and Geomatics, Shandong University of Science and
Technology, Qingdao, Shandong, China
School of Surveying and Geo-Informatics, Shandong Jianzhu University,
Jinan, Shandong, China
Zhen Li
College of Geodesy and Geomatics, Shandong University of Science and
Technology, Qingdao, Shandong, China
Xin Liu
College of Geodesy and Geomatics, Shandong University of Science and
Technology, Qingdao, Shandong, China
Jinyao Gao
Second Institute of Oceanography of MNR, Hangzhou, Zhejiang, China
Related authors
Chengcheng Zhu, Jinyun Guo, Jiajia Yuan, Zhen Li, Xin Liu, and Jinyao Gao
Earth Syst. Sci. Data, 14, 4589–4606, https://doi.org/10.5194/essd-14-4589-2022, https://doi.org/10.5194/essd-14-4589-2022, 2022
Short summary
Short summary
Accurate marine gravity anomalies play an important role in the fields of submarine topography, Earth structure, and submarine exploitation. With the launch of different altimetry satellites, the density of altimeter data can meet the requirements of inversion of high-resolution and high-precision gravity anomaly models. We construct the global marine gravity anomaly model (SDUST2021GRA) from altimeter data (including HY-2A). The accuracy of the model is high, especially in the offshore area.
Ruichen Zhou, Jinyun Guo, Shaoshuai Ya, Heping Sun, and Xin Liu
Earth Syst. Sci. Data, 17, 817–836, https://doi.org/10.5194/essd-17-817-2025, https://doi.org/10.5194/essd-17-817-2025, 2025
Short summary
Short summary
SDUST2023VGGA is a high-resolution (1' × 1') model developed to map the ocean's vertical gradient of gravity anomaly. By using multidirectional mean sea surface data, it reduces the impact of ocean dynamics and provides detailed global gravity anomaly change rates. This model provides critical insights into seafloor structures and ocean mass distribution, contributing to research in marine geophysics and oceanography. The dataset is freely available on Zenodo.
Xin Liu, Yang Yang, Menghao Song, Xiaofeng Dai, Yurong Ding, Gaoying Yin, and Jinyun Guo
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-2, https://doi.org/10.5194/essd-2025-2, 2025
Preprint under review for ESSD
Short summary
Short summary
This study tackles the challenge of measuring sea surface height in the Arctic Ocean, where ice coverage makes accurate modeling difficult. Using advanced satellite data and innovative methods, a new high-resolution mean sea surface model was created. It achieves greater precision than previous models and offers valuable insights into Arctic oceanography. This research provides an important tool for understanding changes in the Arctic environment and their global impacts.
Shuai Zhou, Jinyun Guo, Huiying Zhang, Yongjun Jia, Heping Sun, Xin Liu, and Dechao An
Earth Syst. Sci. Data, 17, 165–179, https://doi.org/10.5194/essd-17-165-2025, https://doi.org/10.5194/essd-17-165-2025, 2025
Short summary
Short summary
Our research focuses on using machine learning to enhance the accuracy and efficiency of bathymetric models. In this paper, a multi-layer perceptron (MLP) neural network is used to integrate multi-source marine geodetic data. And a new bathymetric model of the global ocean, spanning 0–360° E and 80° S–80° N, known as the Shandong University of Science and Technology 2023 Bathymetric Chart of the Oceans (SDUST2023BCO), has been constructed, with a grid size of 1′ × 1′.
Zhen Li, Jinyun Guo, Chengcheng Zhu, Xin Liu, Cheinway Hwang, Sergey Lebedev, Xiaotao Chang, Anatoly Soloviev, and Heping Sun
Earth Syst. Sci. Data, 16, 4119–4135, https://doi.org/10.5194/essd-16-4119-2024, https://doi.org/10.5194/essd-16-4119-2024, 2024
Short summary
Short summary
A new global marine gravity model, SDUST2022GRA, is recovered from radar and laser altimeter data. The accuracy of SDUST2022GRA is 4.43 mGal on a global scale, which is at least 0.22 mGal better than that of other models. The spatial resolution of SDUST2022GRA is approximately 20 km in a certain region, slightly superior to other models. These assessments suggest that SDUST2022GRA is a reliable global marine gravity anomaly model.
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.
Dechao An, Jinyun Guo, Xiaotao Chang, Zhenming Wang, Yongjun Jia, Xin Liu, Valery Bondur, and Heping Sun
Geosci. Model Dev., 17, 2039–2052, https://doi.org/10.5194/gmd-17-2039-2024, https://doi.org/10.5194/gmd-17-2039-2024, 2024
Short summary
Short summary
Seafloor topography, as fundamental geoinformation in marine surveying and mapping, plays a crucial role in numerous scientific studies. In this paper, we focus on constructing a high-precision seafloor topography and bathymetry model for the Philippine Sea (5° N–35° N, 120° E–150° E), based on shipborne bathymetric data and marine gravity anomalies, and evaluate the reliability of the model's accuracy.
Chengcheng Zhu, Jinyun Guo, Jiajia Yuan, Zhen Li, Xin Liu, and Jinyao Gao
Earth Syst. Sci. Data, 14, 4589–4606, https://doi.org/10.5194/essd-14-4589-2022, https://doi.org/10.5194/essd-14-4589-2022, 2022
Short summary
Short summary
Accurate marine gravity anomalies play an important role in the fields of submarine topography, Earth structure, and submarine exploitation. With the launch of different altimetry satellites, the density of altimeter data can meet the requirements of inversion of high-resolution and high-precision gravity anomaly models. We construct the global marine gravity anomaly model (SDUST2021GRA) from altimeter data (including HY-2A). The accuracy of the model is high, especially in the offshore area.
Related subject area
Domain: ESSD – Ocean | Subject: Physical oceanography
SDUST2023VGGA: a global ocean vertical gradient of gravity anomaly model determined from multidirectional data from mean sea surface
A new multi-grid bathymetric dataset of the Gulf of Naples (Italy) from complementary multi-beam echo sounders
A submesoscale eddy identification dataset in the northwest Pacific Ocean derived from GOCI I chlorophyll a data based on deep learning
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
Surface current variability in the East Australian Current from long-term HF radar observations
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
Global ocean surface heat fluxes revisited: A new dataset from maximum entropy production framework with heat storage and Bowen ratio optimizations
Gap-filled subsurface mooring dataset off Western Australia during 2010–2023
Catalogue of coastal-based instances with bathymetric and topographic data
Oceanographic monitoring in Hornsund fjord, Svalbard
The IAS2024 coastal sea level dataset and first evaluations
Multi-year observations of near-bed hydrodynamics and suspended sediment at the core of the estuarine turbidity maximum of the Changjiang Estuary: the NP-ChaM campaign
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
Multiyear surface wave dataset from the subsurface “DeepLev” eastern Levantine moored station
A European database of resources on coastal storm impacts
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)
Ruichen Zhou, Jinyun Guo, Shaoshuai Ya, Heping Sun, and Xin Liu
Earth Syst. Sci. Data, 17, 817–836, https://doi.org/10.5194/essd-17-817-2025, https://doi.org/10.5194/essd-17-817-2025, 2025
Short summary
Short summary
SDUST2023VGGA is a high-resolution (1' × 1') model developed to map the ocean's vertical gradient of gravity anomaly. By using multidirectional mean sea surface data, it reduces the impact of ocean dynamics and provides detailed global gravity anomaly change rates. This model provides critical insights into seafloor structures and ocean mass distribution, contributing to research in marine geophysics and oceanography. The dataset is freely available on Zenodo.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
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.
Manh Cuong Tran, Moninya Roughan, and Amandine Schaeffer
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-480, https://doi.org/10.5194/essd-2024-480, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
The East Australian Current (EAC) plays an important role in the marine ecosystem and climate of the region. To understand the EAC regime and the inner shelf dynamics, we implement the variational approach to produce the first multi-year coastal radar dataset (2012–2023) in this region. The validated data allows for a comprehensive investigation of the EAC dynamics. This dataset will be useful for understanding the complex EAC regime and its far-reaching impacts on the shelf environment.
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.
Yong Yang, Huaiwei Sun, Jingfeng Wang, Wenxin Zhang, Gang Zhao, Weiguang Wang, Lei Cheng, Lu Chen, Hui Qin, and Zhanzhang Cai
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-420, https://doi.org/10.5194/essd-2024-420, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
Traditional methods for estimating ocean heat flux often introduce large uncertainties due to complex parameterizations and reliance on wind speed. To tackle this issue, we developed a novel framework based on MEP theory. By incorporating heat storage effects and refining the Bowen ratio, we enhanced the MEP method’s accuracy. This research derives a new long-term global ocean latent heat flux dataset that offers high accuracy, enhancing our understanding of ocean energy dynamics.
Toan Bui, Ming Feng, and Chris Chapman
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-449, https://doi.org/10.5194/essd-2024-449, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
Time series data are crucial to detect changes in the ocean. Moored instruments have traditionally been used to obtain long-term observations on the continental shelf. However, mooring losses or instrument failures often result in data gaps. Here we present a gap-filled time series dataset of a shelf mooring array off the Western Australian coast, by adopting a machine learning tool to fill the data gaps. The gap-filled data has acceptable errors and shows consistency with observations.
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.
Fukai Peng, Xiaoli Deng, Yunzhong Shen, and Xiao Cheng
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-385, https://doi.org/10.5194/essd-2024-385, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
A new reprocessed altimeter coastal sea level dataset, namely IAS2024, for monitoring sea level changes along the world’s coastlines has been presented. The evaluation and validation results confirm the reliability of this dataset. The altimeter-based virtual stations along the world’s coastlines can be built from this dataset to monitor the coastal sea level changes where tide gauges are unavailable. Therefore, it would be beneficial for both oceanographic communities and policy makers.
Zaiyang Zhou, Jianzhong Ge, Dirk Sebastiaan van Maren, Hualong Luan, Wenyun Guo, Jianfei Ma, Yingjia Tao, Peng Xu, Fuhai Dao, Wanlun Yang, Keteng Ke, Shenyang Shi, Jingting Zhang, Yu Kuai, Cheng Li, Jinghua Gu, and Pingxing Ding
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-400, https://doi.org/10.5194/essd-2024-400, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
The North Passage (NP) is the primary navigation channel of the Changjiang Estuary, supporting the shipping needs of Shanghai and its surrounding regions. To enhance our understanding of hydrodynamics and sediment dynamics of the NP, a multi-year field observation campaign was designed and conducted from 2015 to 2018. This campaign improves the temporal and spatial coverage compared to previous observations, enabling more detailed investigations of this important channel system.
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.
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.
Paola Emilia Souto-Ceccon, Juan Montes-Perez, Enrico Duo, Paolo Ciavola, Tomas Fernandez Montblanc, and Clara Armaroli
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-183, https://doi.org/10.5194/essd-2024-183, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
This dataset will support the growing need for information on coastal storm impacts. To our knowledge a specific public access database is not available yet. The database was assembled after an extensive European-scale search of online and published resources and financed by the European Union within the H2020 Programme. Finally, we believe that our approach could be easily exported to all European countries and beyond.
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.
Cited articles
Andersen, O. B. and Knudsen, P.: DNSC08 mean sea surface and mean dynamic
topography models, J. Geophys. Res.-Oceans, 114, 327–343,
https://doi.org/10.1029/2008JC005179, 2009.
Andersen, O. B., Knudsen, P., and Bondo, T.: The mean sea surface DTU10
MSS-comparison with GPS and Tide Gauges, in: ESA Living Planet Symposium,
Bergen, Norway, 28 June–2 July, 2010, https://articles.adsabs.harvard.edu/pdf/2010ESASP.686E.502A (last access: 5 January 2023), 2010.
Andersen, O. B., Knudsen, P., and Stenseng, L.: The DTU13 MSS (mean sea surface)
and MDT (mean dynamic topography) from 20 years of satellite altimetry, in: IGFS 2014, International Association of Geodesy
Symposia, edited by:
Jin, S. and Barzaghi, R., 144, Springer, Cham,
https://doi.org/10.1007/1345_2015_182, 2015.
Andersen, O. B., Piccioni, G., Stenseng, L., and Knudsen, P.: The DTU15 MSS
(mean sea surface) and DTU15LAT (lowest astronomical tide) reference
surface, in: Proceedings of the ESA Living Planet Symposium 2016, Prague, Czech Republik, 9–13 May 2016, https://ftp.space.dtu.dk/pub/DTU15/DOCUMENTS/MSS/DTU15MSS+LAT.pdf (last access: 5 January 2023),
2016.
Andersen, O. B., Knudsen, P., and Stenseng, L.: A new DTU18 MSS mean sea
surface–improvement from SAR altimetry, in: 25 Years of Progress in Radar
Altimetry Symposium, Portugal, 24–29 September, https://ftp.space.dtu.dk/pub/DTU18/MSS_MATERIAL/PRESENTATIONS/DTU18MSS-V2.pdf (last access: 5 January 2023), 2018.
Carrère, L., Lyard, F., Cancet, M., Guillot, A., and Dupuy, S.: FES 2014: a
new global tidal model, OSTST Meeting, Lake Contance, Germany, http://meetings.aviso.altimetry.fr/fileadmin/user_upload/tx_ausyclsseminar/files/29Red1100-2_ppt_OSTST2014_FES2014_LC.pdf (last access: 5 January 2023), 2014.
CNES: Along-track level-2+ (L2P) SLA product handbook,
SALPMU-P-EA-23150-CLS, Issue 2.0,
https://www.aviso.altimetry.fr/fileadmin/documents/data/tools/hdbk_L2P_all_missions_except_S3.pdf (last access: 5 January 2023), 2020.
Ducet, N., Le Traon, P. Y., and Reverdin, G.: Global high-resolution mapping
of ocean circulation from TOPEX/Poseidon and ERS-1 and -2, J. Geophys.
Res.-Oceans, 105, 19477–19498, https://doi.org/10.1029/2000jc900063,
2000.
Guo, J., Hwang, C., and Deng, X.: Editorial: Application of satellite
altimetry in marine geodesy and geophysics, Front. Environ. Sci., 10,
910562, https://doi.org/10.3389/feart.2022.910562, 2022.
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., 29, 493–504,
https://doi.org/10.2112/JCOASTRES-D-12-00175.1, 2013.
Huang, M., Zhai, G., Ouyang, Y., Lu, X., Liu, C., and Wang, R.: Integrated
data processing for multi-satellite missions and recovery of marine gravity
field, Terr. Atmos. Ocean. Sci., 19, 103–109,
https://doi.org/10.3319/TAO.2008.19.1-2.103(SA), 2008.
Hwang, C. W.: High precision gravity anomaly and sea surface height
estimation from Geos-3/Seasat altimeter data, M.S. Thesis. Dept. of Geodetic
Science and Surveying, The Ohio State University, Columbus, OH, USA, 1989.
Jin, T., Li, J., and Jiang, W.: The global mean sea surface model WHU2013, Geod.
Geodyn., 7, 202–209, https://doi.org/10.1016/j.geog.2016.04.006, 2016.
Jordan, S. K.: Self-consistent statistical models for the gravity anomaly,
vertical deflections, and undulation of the geoid, J. Geophys. Res., 77,
3660–3670, https://doi.org/10.1029/JB077i020p03660, 1972.
Le Traon, P. Y., Nadal, F., and Ducet, N.: An improved mapping method of
multisatellite altimeter data, J. Atmos. Ocean. Tech., 15, 522–534,
https://doi.org/10.1175/1520-0426(1998)015<0522:AIMMOM>2.0.CO;2, 1998.
Le Traon, P. Y., Dibarboure, G., and Ducet, N.: Use of a high-resolution
model to analyze the mapping capabilities of multiple-altimeter missions, J.
Atmos. Ocean. Tech., 18, 1277–1288,
https://doi.org/10.1175/1520-0426(2001)018<1277:UOAHRM>2.0.CO;2, 2001.
Le Traon, P. Y., Faugère, Y., Hernandez, F., Dorandeu, J., Mertz, F.,
and Ablain, M.: Can we merge GEOSAT follow-on with TOPEX/Poseidon and ERS-2
for an improved description of the ocean circulation?, J. Atmos. Ocean.
Tech., 20, 889–895, https://doi.org/10.1175/1520-0426(2003)020<0889:CWMGFW>2.0.CO;2, 2003.
Moritz, H.: Least-squares collocation, Rev. Geophys., 16, 421–430,
https://doi.org/10.1029/RG016i003p00421, 1978.
Pujol, M.-I., Schaeffer, P., Faugère, Y., Raynal, M., Dibarboure, G.,
and Picot, N.: Gauging the improvement of recent mean sea surface models: a
new approach for identifying and quantifying their errors, J. Geophys.
Res.-Oceans, 123, 5889–5911, https://doi.org/10.1029/2017JC013503, 2018.
Rapp, R. H. and Bašić, T.: Oceanwide gravity anomalies from GEOS-3,
Seasat and Geosat altimeter data, Geophys. Res. Lett., 19, 1979–1982,
https://doi.org/10.1029/92GL02247, 1992.
Santamaria-Gomez, A., Gravelle, M., Dangendorf, S., Marcos, M., Spada, G., and
Wöppelmann, G.: Uncertainty of the 20th century sea-level rise due to
vertical land motion errors, Earth. Planet. Sc. Lett., 473, 24–32,
https://doi.org/10.1016/j.epsl.2017.05.038, 2017.
Schaeffer, P., Faugére, Y., Legeais, J. F., Ollivier, A., Guinle, T.,
and Picot, N.: The CNES_CLS11 global mean sea surface
computed from 16 Years of satellite altimeter data, Mar. Geod., 35, 3–19,
https://doi.org/10.1080/01490419.2012.718231, 2012.
Sun, W., Zhou, X., Yang, L., Zhou, D., and Li, F.: Construction of the mean
sea surface model combined HY-2A with DTU18 MSS in the antarctic ocean,
Front. Environ. Sci., 9, 697111, https://doi.org/10.3389/fenvs.2021.697111,
2021.
Wessel, P., Luis, J. F., Uieda, L., Scharroo, R., Wobbe, F., Smith, W. H.
F., and Tian, D.: The generic mapping tools version 6, Geochem. Geophy.
Geosy., 20, 5556–5564, https://doi.org/10.1029/2019GC008515, 2019.
Yuan, J., Guo, J., Liu, X., Zhu, C., Niu, Y., Li, Z., Ji, B., and Ouyang,
Y.: Mean sea surface model over China seas and its adjacent ocean
established with the 19-year moving average method from multi-satellite
altimeter data, Cont. Shelf Res., 192, 104009,
https://doi.org/10.1016/j.csr.2019.104009, 2020.
Yuan, J., Guo, J., Zhu, C., Hwang, C., Yu, D., Sun, M., and Mu, D.:
High-resolution sea level change around China seas revealed through
multi-satellite altimeter data, Int. J. Appl. Earth Obs., 102, 102433,
https://doi.org/10.1016/j.jag.2021.102433, 2021.
Yuan, J., Guo, J., Zhu, C., Li, Z., Liu, X., and Gao, J.: SDUST2020 MSS: A
global
Short summary
The mean sea surface (MSS) is a relative steady-state sea level within a finite period with important applications in geodesy, oceanography, and other disciplines. In this study, the Shandong University of Science and Technology 2020 (SDUST2020), a new global MSS model, was established with a 19-year moving average method from multi-satellite altimetry data. Its global coverage is from 80 °S to 84 °N, the grid size is 1'×1', and the reference period is from January 1993 to December 2019.
The mean sea surface (MSS) is a relative steady-state sea level within a finite period with...
Altmetrics
Final-revised paper
Preprint