Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-645-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-645-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
25 Feb 2021
Data description paper |
| 25 Feb 2021
| 25 Feb 2021
A gridded surface current product for the Gulf of Mexico from consolidated drifter measurements
Jonathan M. Lilly
CORRESPONDING AUTHOR
Theiss Research, La Jolla, CA, USA
Paula Pérez-Brunius
Departamento de Oceanografía, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Mexico
Related authors
Jonathan M. Lilly and Paula Pérez-Brunius
Nonlin. Processes Geophys., 28, 181–212, https://doi.org/10.5194/npg-28-181-2021, https://doi.org/10.5194/npg-28-181-2021, 2021
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Long-lived eddies are an important part of the ocean circulation. Here a dataset for studying eddies in the Gulf of Mexico is created through the analysis of trajectories of drifting instruments. The method involves the identification of quasi-periodic signals, characteristic of particles trapped in eddies, from the displacement records, followed by the creation of a measure of statistical significance. It is expected that this dataset will be of use to other authors studying this region.
Jonathan M. Lilly and Paula Pérez-Brunius
Nonlin. Processes Geophys., 28, 181–212, https://doi.org/10.5194/npg-28-181-2021, https://doi.org/10.5194/npg-28-181-2021, 2021
Short summary
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Long-lived eddies are an important part of the ocean circulation. Here a dataset for studying eddies in the Gulf of Mexico is created through the analysis of trajectories of drifting instruments. The method involves the identification of quasi-periodic signals, characteristic of particles trapped in eddies, from the displacement records, followed by the creation of a measure of statistical significance. It is expected that this dataset will be of use to other authors studying this region.
Orens Pasqueron de Fommervault, Paula Perez-Brunius, Pierre Damien, Victor F. Camacho-Ibar, and Julio Sheinbaum
Biogeosciences, 14, 5647–5662, https://doi.org/10.5194/bg-14-5647-2017, https://doi.org/10.5194/bg-14-5647-2017, 2017
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The Gulf of Mexico is known to be characterized by a low abundance in phytoplankton. However, observations across the basin are scarce and prevent an accurate description of the mechanism controlling its distribution and dynamics. The recent deployment of autonomous profiling floats equipped with bio-optical sensors was a great opportunity to explore the phytoplankton in the Gulf Of Mexico. This study presents the analysis of this novel dataset.
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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)
Hyperspectral reflectance of pristine, ocean weathered and biofouled plastics from dry to wet and submerged state
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)
Measurements of Nearshore Waves through Coherent Arrays of Free-Drifting Wave Buoys
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
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Argo salinity: bias and uncertainty evaluation
Improved global sea surface height and current maps from remote sensing and in situ observations
Extension of high temporal resolution sea level time series at Socoa (Saint Jean-de-Luz, France) back to 1875
Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020)
SDUST2020 MSS: a global 1′ × 1′ mean sea surface model determined from multi-satellite altimetry data
Synoptic observations of sediment transport and exchange mechanisms in the turbid Ems Estuary: the EDoM campaign
A compilation of global bio-optical in situ data for ocean colour satellite applications – version three
Deep-water hydrodynamic observations of two moorings sites on the continental slope of the southern Adriatic Sea (Mediterranean Sea)
Hydrodynamic and hydrological processes within a variety of coral reef lagoons: field observations during six cyclonic seasons in New Caledonia
Reconstructing ocean subsurface salinity at high resolution using a machine learning approach
A Mediterranean drifters dataset: 1998–2022
The HYPERMAQ dataset: bio-optical properties of moderately to extremely turbid waters
Mesoscale observations of temperature and salinity in the Arctic Transpolar Drift: a high-resolution dataset from the MOSAiC Distributed Network
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Laboratory data on wave propagation through vegetation with following and opposing currents
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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
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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
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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
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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
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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
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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.
Robin V. F. de Vries, Shungudzemwoyo P. Garaba, and Sarah-Jeanne Royer
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-209, https://doi.org/10.5194/essd-2023-209, 2023
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This paper presents a unique dataset of hyperspectral measurements of various plastics, including aged plastics harvested from the open ocean (North Pacific Ocean) and COVID-19 related plastic items. These datasets are vital as input for the development of remote sensing technology to better map and locate plastic litter pollution in the natural environment. In this study, there is specific emphasis on the spectral characteristics of submerged plastics.
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
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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
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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
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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
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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.
Edwin John Rainville, Jim Thomson, Melissa Moulton, and Morteza Derakhti
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-64, https://doi.org/10.5194/essd-2023-64, 2023
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Measuring ocean waves nearshore is essential for understanding how the waves impact our coastlines. We designed and deployed many small wave buoys into the nearshore ocean over 27 days in Duck, North Carolina, USA, in 2021. The wave buoys measure their motion as they drift. In this paper, we describe how we use the measurements from the buoys to measure nearshore wave properties. We find that the buoy measurements are accurate and reliable compared to other nearby instruments.
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
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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
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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.
Maria Osińska, Kornelia A. Wójcik-Długoborska, and Robert J. Bialik
Earth Syst. Sci. Data, 15, 607–616, https://doi.org/10.5194/essd-15-607-2023, https://doi.org/10.5194/essd-15-607-2023, 2023
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Water properties, including temperature, conductivity, turbidity and pH as well as the dissolved oxygen, dissolved organic matter, chlorophyll-a and phycoerythrin contents, were investigated in 31 different locations at up to 100 m depth over a period of 38 months in a glacial bay in Antarctica. These investigations were carried out 142 times in all seasons of the year, resulting in a unique dataset of information about seasonal and long-term changes in polar water properties.
Annie P. S. Wong, John Gilson, and Cécile Cabanes
Earth Syst. Sci. Data, 15, 383–393, https://doi.org/10.5194/essd-15-383-2023, https://doi.org/10.5194/essd-15-383-2023, 2023
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This article describes the instrument bias in the raw Argo salinity data from 2000 to 2021. The main cause of this bias is sensor drift. Using Argo data without filtering out this instrument bias has been shown to lead to spurious results in various scientific applications. We describe the Argo delayed-mode process that evaluates and adjusts such instrument bias, and we estimate the uncertainty of the Argo delayed-mode salinity dataset. The best ways to use Argo data are illustrated.
Maxime Ballarotta, Clément Ubelmann, Pierre Veillard, Pierre Prandi, Hélène Etienne, Sandrine Mulet, Yannice Faugère, Gérald Dibarboure, Rosemary Morrow, and Nicolas Picot
Earth Syst. Sci. Data, 15, 295–315, https://doi.org/10.5194/essd-15-295-2023, https://doi.org/10.5194/essd-15-295-2023, 2023
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We present a new gridded sea surface height and current dataset produced by combining observations from nadir altimeters and drifting buoys. This product is based on a multiscale and multivariate mapping approach that offers the possibility to improve the physical content of gridded products by combining the data from various platforms and resolving a broader spectrum of ocean surface dynamic than in the current operational mapping system. A quality assessment of this new product is presented.
Md Jamal Uddin Khan, Inge Van Den Beld, Guy Wöppelmann, Laurent Testut, Alexa Latapy, and Nicolas Pouvreau
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-443, https://doi.org/10.5194/essd-2022-443, 2023
Revised manuscript accepted for ESSD
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Established in 1875, Socoa tide gauge is one of the long-running permanent tide-gauge of the South-Western France region. However, a large part of its record was in paper format in various archives facing risk of damage. Through data archaeology, these data and associated metadata documents are rescued, digitized, and constructed into a uniform hourly sea level time series from 1875 to date. This new dataset will be useful for climate research on sea level rise, tide, and storm surges.
Francesca Doglioni, Robert Ricker, Benjamin Rabe, Alexander Barth, Charles Troupin, and Torsten Kanzow
Earth Syst. Sci. Data, 15, 225–263, https://doi.org/10.5194/essd-15-225-2023, https://doi.org/10.5194/essd-15-225-2023, 2023
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This paper presents a new satellite-derived gridded dataset, including 10 years of sea surface height and geostrophic velocity at monthly resolution, over the Arctic ice-covered and ice-free regions, up to 88° N. We assess the dataset by comparison to independent satellite and mooring data. Results correlate well with independent satellite data at monthly timescales, and the geostrophic velocity fields can resolve seasonal to interannual variability of boundary currents wider than about 50 km.
Jiajia Yuan, Jinyun Guo, Chengcheng Zhu, Zhen Li, Xin Liu, and Jinyao Gao
Earth Syst. Sci. Data, 15, 155–169, https://doi.org/10.5194/essd-15-155-2023, https://doi.org/10.5194/essd-15-155-2023, 2023
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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.
Dirk S. van Maren, Christian Maushake, Jan-Willem Mol, Daan van Keulen, Jens Jürges, Julia Vroom, Henk Schuttelaars, Theo Gerkema, Kirstin Schulz, Thomas H. Badewien, Michaela Gerriets, Andreas Engels, Andreas Wurpts, Dennis Oberrecht, Andrew J. Manning, Taylor Bailey, Lauren Ross, Volker Mohrholz, Dante M. L. Horemans, Marius Becker, Dirk Post, Charlotte Schmidt, and Petra J. T. Dankers
Earth Syst. Sci. Data, 15, 53–73, https://doi.org/10.5194/essd-15-53-2023, https://doi.org/10.5194/essd-15-53-2023, 2023
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This paper reports on the main findings of a large measurement campaign aiming to better understand how an exposed estuary (the Ems Estuary on the Dutch–German border) interacts with a tidal river (the lower Ems River). Eight simultaneously deployed ships measuring a tidal cycle and 10 moorings collecting data throughout a spring–neap tidal cycle have produced a dataset providing valuable insight into processes determining exchange of water and sediment between the two systems.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Thomas Jackson, Andrei Chuprin, Malcolm Taberner, Ruth Airs, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Robert J. W. Brewin, Elisabetta Canuti, Francisco P. Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Afonso Ferreira, Scott Freeman, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Ralf Goericke, Richard Gould, Nathalie Guillocheau, Stanford B. Hooker, Chuamin Hu, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Steven Lohrenz, Hubert Loisel, Antonio Mannino, Victor Martinez-Vicente, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Enrique Montes, Frank Muller-Karger, Aimee Neeley, Michael Novak, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Rüdiger Röttgers, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Crystal Thomas, Rob Thomas, Gavin Tilstone, Andreia Tracana, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Bozena Wojtasiewicz, Simon Wright, and Giuseppe Zibordi
Earth Syst. Sci. Data, 14, 5737–5770, https://doi.org/10.5194/essd-14-5737-2022, https://doi.org/10.5194/essd-14-5737-2022, 2022
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A compiled set of in situ data is vital to evaluate the quality of ocean-colour satellite data records. Here we describe the global compilation of bio-optical in situ data (spanning from 1997 to 2021) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
Francesco Paladini de Mendoza, Katrin Schroeder, Leonardo Langone, Jacopo Chiggiato, Mireno Borghini, Patrizia Giordano, Giulio Verazzo, and Stefano Miserocchi
Earth Syst. Sci. Data, 14, 5617–5635, https://doi.org/10.5194/essd-14-5617-2022, https://doi.org/10.5194/essd-14-5617-2022, 2022
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This work presents the dataset of continuous monitoring in the southern Adriatic Margin, providing a unique observatory of deep-water dynamics. The study area is influenced by episodic dense-water cascading, which is a fundamental process for water renewal and deep-water dynamics. Information about the frequency and intensity variations of these events is observed along a time series. The monitoring activities are still ongoing and the moorings are part of the EMSO-ERIC network.
Oriane Bruyère, Benoit Soulard, Hugues Lemonnier, Thierry Laugier, Morgane Hubert, Sébastien Petton, Térence Desclaux, Simon Van Wynsberge, Eric Le Tesson, Jérôme Lefèvre, Franck Dumas, Jean-François Kayara, Emmanuel Bourassin, Noémie Lalau, Florence Antypas, and Romain Le Gendre
Earth Syst. Sci. Data, 14, 5439–5462, https://doi.org/10.5194/essd-14-5439-2022, https://doi.org/10.5194/essd-14-5439-2022, 2022
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From 2014 to 2021, extensive monitoring of hydrodynamics was deployed within five contrasted lagoons of New Caledonia during austral summers. These coastal physical observations encompassed unmonitored lagoons and captured eight major atmospheric events ranging from tropical depression to category 4 cyclone. The main objectives were to characterize the processes controlling hydrodynamics of these lagoons and record the signature of extreme events on land–lagoon–ocean continuum functioning.
Tian Tian, Lijing Cheng, Gongjie Wang, John Abraham, Wangxu Wei, Shihe Ren, Jiang Zhu, Junqiang Song, and Hongze Leng
Earth Syst. Sci. Data, 14, 5037–5060, https://doi.org/10.5194/essd-14-5037-2022, https://doi.org/10.5194/essd-14-5037-2022, 2022
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A high-resolution gridded dataset is crucial for understanding ocean processes at various spatiotemporal scales. Here we used a machine learning approach and successfully reconstructed a high-resolution (0.25° × 0.25°) ocean subsurface (1–2000 m) salinity dataset for the period 1993–2018 (monthly) by merging in situ salinity profile observations with high-resolution satellite remote-sensing data. This new product could be useful in various applications in ocean and climate fields.
Alberto Ribotti, Antonio Bussani, Milena Menna, Andrea Satta, Roberto Sorgente, Andrea Cucco, and Riccardo Gerin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-344, https://doi.org/10.5194/essd-2022-344, 2022
Revised manuscript accepted for ESSD
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Over a hundred of experiments were realised 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. After all procedures, from the initial 138 experiments, a dataset of 204 tracks was obtained in NetCDF format.
Héloïse Lavigne, Ana Dogliotti, David Doxaran, Fang Shen, Alexandre Castagna, Matthew Beck, Quinten Vanhellemont, Xuerong Sun, Juan Ignacio Gossn, Pannimpullath Remanan Renosh, Koen Sabbe, Dieter Vansteenwegen, and Kevin Ruddick
Earth Syst. Sci. Data, 14, 4935–4947, https://doi.org/10.5194/essd-14-4935-2022, https://doi.org/10.5194/essd-14-4935-2022, 2022
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Because of the large diversity of case 2 waters and the complexity of light transfer, retrieving main biogeochemical parameters in these waters is still challenging. By providing optical and biogeochemical parameters for 180 sampling stations with turbidity and chlorophyll-a concentration ranging from low to extreme values, the HYPERMAQ dataset will contribute to a better description of marine optics in optically complex water bodies and can help the scientific community to develop algorithms.
Mario Hoppmann, Ivan Kuznetsov, Ying-Chih Fang, and Benjamin Rabe
Earth Syst. Sci. Data, 14, 4901–4921, https://doi.org/10.5194/essd-14-4901-2022, https://doi.org/10.5194/essd-14-4901-2022, 2022
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The role of eddies and fronts in the oceans is a hot topic in climate research, but there are still many related knowledge gaps, particularly in the ice-covered Arctic Ocean. Here we present a unique dataset of ocean observations collected by a set of drifting buoys installed on ice floes as part of the 2019/2020 MOSAiC campaign. The buoys recorded temperature and salinity data for 10 months, providing extraordinary insights into the properties and processes of the ocean along their drift.
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
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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.
Philip L. Woodworth and John M. Vassie
Earth Syst. Sci. Data, 14, 4387–4396, https://doi.org/10.5194/essd-14-4387-2022, https://doi.org/10.5194/essd-14-4387-2022, 2022
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An electronic data set of tidal measurements at St. Helena in 1761 by Nevil Maskelyne is described. These data were first analysed by Cartwright in papers on changing tides, but his data files were never archived. The now newly digitised Maskelyne data have been reanalysed in order to obtain an updated impression of whether the tide has changed at that location in over two and a half centuries. Our main conclusion is that the major tidal constituent (M2) has changed little.
Alberto Ribotti, Roberto Sorgente, Federica Pessini, Andrea Cucco, Giovanni Quattrocchi, and Mireno Borghini
Earth Syst. Sci. Data, 14, 4187–4199, https://doi.org/10.5194/essd-14-4187-2022, https://doi.org/10.5194/essd-14-4187-2022, 2022
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Over 1468 hydrological vertical profiles were acquired in 21 years in the Mediterranean Sea. This allowed us to follow the diffusion of the Western Mediterranean Transient along all western seas or make some important repetitions across straits, channels, or at defined locations. These data are now available in four open-access online datasets, including profiles of water temperature, conductivity, dissolved oxygen, chlorophyll α fluorescence, and, after 2004, turbidity and pH.
Andrea Pisano, Daniele Ciani, Salvatore Marullo, Rosalia Santoleri, and Bruno Buongiorno Nardelli
Earth Syst. Sci. Data, 14, 4111–4128, https://doi.org/10.5194/essd-14-4111-2022, https://doi.org/10.5194/essd-14-4111-2022, 2022
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A new operational diurnal sea surface temperature (SST) product has been developed within the Copernicus Marine Service, providing gap-free hourly mean SST fields from January 2019 to the present. This product is able to accurately reproduce the diurnal cycle, the typical day–night SST oscillation mainly driven by solar heating, including extreme diurnal warming events. This product can thus represent a valuable dataset to improve the study of those processes that require a subdaily frequency.
Natalia Tilinina, Dmitry Ivonin, Alexander Gavrikov, Vitali Sharmar, Sergey Gulev, Alexander Suslov, Vladimir Fadeev, Boris Trofimov, Sergey Bargman, Leysan Salavatova, Vasilisa Koshkina, Polina Shishkova, Elizaveta Ezhova, Mikhail Krinitsky, Olga Razorenova, Klaus Peter Koltermann, Vladimir Tereschenkov, and Alexey Sokov
Earth Syst. Sci. Data, 14, 3615–3633, https://doi.org/10.5194/essd-14-3615-2022, https://doi.org/10.5194/essd-14-3615-2022, 2022
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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.
Üwe S. N. Best, Mick van der Wegen, Jasper Dijkstra, Johan Reyns, Bram C. van Prooijen, and Dano Roelvink
Earth Syst. Sci. Data, 14, 2445–2462, https://doi.org/10.5194/essd-14-2445-2022, https://doi.org/10.5194/essd-14-2445-2022, 2022
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The combination of seawalls and vegetation may be the key to Guyana's survival against rising water levels; however knowledge about the system behaviour and use of vegetation is inadequate. This paper comprises the first dataset since the 1970s along the Guyana coastline. Instruments were deployed to capture data on the water levels, waves and sediment locally. Data revealed the ways in which sediment is transported and deposited, as well as the wave damping of the mangrove–mudflat system.
Matthias Fuchs, Juri Palmtag, Bennet Juhls, Pier Paul Overduin, Guido Grosse, Ahmed Abdelwahab, Michael Bedington, Tina Sanders, Olga Ogneva, Irina V. Fedorova, Nikita S. Zimov, Paul J. Mann, and Jens Strauss
Earth Syst. Sci. Data, 14, 2279–2301, https://doi.org/10.5194/essd-14-2279-2022, https://doi.org/10.5194/essd-14-2279-2022, 2022
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We created digital, high-resolution bathymetry data sets for the Lena Delta and Kolyma Gulf regions in northeastern Siberia. Based on nautical charts, we digitized depth points and isobath lines, which serve as an input for a 50 m bathymetry model. The benefit of this data set is the accurate mapping of near-shore areas as well as the offshore continuation of the main deep river channels. This will improve the estimation of river outflow and the nutrient flux output into the coastal zone.
Yves Quilfen, Jean-François Piolle, and Bertrand Chapron
Earth Syst. Sci. Data, 14, 1493–1512, https://doi.org/10.5194/essd-14-1493-2022, https://doi.org/10.5194/essd-14-1493-2022, 2022
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Satellite sea surface heights (SSHs) are key observations used to monitor ocean dynamics. For each satellite altimeter mission, differing noise mixes with SSH signals preclude analysis of the smallest ocean scales. Using an adaptive filter, a new data set is produced for three altimeters, showing that SSH variability in the mesoscale 30–120 km wavelength band can now be more consistently resolved. For the first time, global small-scale ocean kinetic energy distributions are precisely monitored.
Cori Pegliasco, Antoine Delepoulle, Evan Mason, Rosemary Morrow, Yannice Faugère, and Gérald Dibarboure
Earth Syst. Sci. Data, 14, 1087–1107, https://doi.org/10.5194/essd-14-1087-2022, https://doi.org/10.5194/essd-14-1087-2022, 2022
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The new global Mesoscale Eddy Trajectory Atlases (META3.1exp) provide eddy identification and trajectories from altimetry maps. These atlases comprise an improvement to and continuation of the historical META2.0 product. Changes in the detection parameters and tracking were tested by comparing the eddies from the different datasets. In particular, the eddy contours available in META3.1exp are an asset for multi-disciplinary studies.
Martin Horwath, Benjamin D. Gutknecht, Anny Cazenave, Hindumathi Kulaiappan Palanisamy, Florence Marti, Ben Marzeion, Frank Paul, Raymond Le Bris, Anna E. Hogg, Inès Otosaka, Andrew Shepherd, Petra Döll, Denise Cáceres, Hannes Müller Schmied, Johnny A. Johannessen, Jan Even Øie Nilsen, Roshin P. Raj, René Forsberg, Louise Sandberg Sørensen, Valentina R. Barletta, Sebastian B. Simonsen, Per Knudsen, Ole Baltazar Andersen, Heidi Ranndal, Stine K. Rose, Christopher J. Merchant, Claire R. Macintosh, Karina von Schuckmann, Kristin Novotny, Andreas Groh, Marco Restano, and Jérôme Benveniste
Earth Syst. Sci. Data, 14, 411–447, https://doi.org/10.5194/essd-14-411-2022, https://doi.org/10.5194/essd-14-411-2022, 2022
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Global mean sea-level change observed from 1993 to 2016 (mean rate of 3.05 mm yr−1) matches the combined effect of changes in water density (thermal expansion) and ocean mass. Ocean-mass change has been assessed through the contributions from glaciers, ice sheets, and land water storage or directly from satellite data since 2003. Our budget assessments of linear trends and monthly anomalies utilise new datasets and uncertainty characterisations developed within ESA's Climate Change Initiative.
Justino Martínez, Carolina Gabarró, Antonio Turiel, Verónica González-Gambau, Marta Umbert, Nina Hoareau, Cristina González-Haro, Estrella Olmedo, Manuel Arias, Rafael Catany, Laurent Bertino, Roshin P. Raj, Jiping Xie, Roberto Sabia, and Diego Fernández
Earth Syst. Sci. Data, 14, 307–323, https://doi.org/10.5194/essd-14-307-2022, https://doi.org/10.5194/essd-14-307-2022, 2022
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Measuring salinity from space is challenging since the sensitivity of the brightness temperature to sea surface salinity is low, but the retrieval of SSS in cold waters is even more challenging. In 2019, the ESA launched a specific initiative called Arctic+Salinity to produce an enhanced Arctic SSS product with better quality and resolution than the available products. This paper presents the methodologies used to produce the new enhanced Arctic SMOS SSS product.
Florence Marti, Alejandro Blazquez, Benoit Meyssignac, Michaël Ablain, Anne Barnoud, Robin Fraudeau, Rémi Jugier, Jonathan Chenal, Gilles Larnicol, Julia Pfeffer, Marco Restano, and Jérôme Benveniste
Earth Syst. Sci. Data, 14, 229–249, https://doi.org/10.5194/essd-14-229-2022, https://doi.org/10.5194/essd-14-229-2022, 2022
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The Earth energy imbalance at the top of the atmosphere due to the increase in greenhouse gases and aerosol concentrations is responsible for the accumulation of energy in the climate system. With its high thermal inertia, the ocean accumulates most of this energy excess in the form of heat. The estimation of the global ocean heat content through space geodetic observations allows monitoring of the energy imbalance with realistic uncertainties to better understand the Earth’s warming climate.
Manuel Bensi, Vedrana Kovačević, Federica Donda, Philip Edward O'Brien, Linda Armbrecht, and Leanne Kay Armand
Earth Syst. Sci. Data, 14, 65–78, https://doi.org/10.5194/essd-14-65-2022, https://doi.org/10.5194/essd-14-65-2022, 2022
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The Totten Glacier (Sabrina Coast, East Antarctica) has undergone significant retreat in recent years, underlining its sensitivity to climate change and its potential contribution to global sea-level rise. The melting process is strongly influenced by ocean dynamics and the spatial distribution of water masses appears to be linked to the complex morpho-bathymetry of the area, supporting the hypothesis that downwelling processes contribute to shaping the architecture of the continental margin.
Matthew A. Chamberlain, Peter R. Oke, Russell A. S. Fiedler, Helen M. Beggs, Gary B. Brassington, and Prasanth Divakaran
Earth Syst. Sci. Data, 13, 5663–5688, https://doi.org/10.5194/essd-13-5663-2021, https://doi.org/10.5194/essd-13-5663-2021, 2021
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BRAN2020 is a dynamical reconstruction of the ocean, combining observations with a high-resolution global ocean model. BRAN2020 currently spans January 1993 to December 2019, assimilating in situ temperature and salinity, as well as satellite-based sea level and sea surface temperature. A new multiscale approach to data assimilation constrains the broad-scale ocean properties and turbulent mesoscale dynamics in two steps, showing closer agreement to observations than all previous versions.
Pierre Prandi, Jean-Christophe Poisson, Yannice Faugère, Amandine Guillot, and Gérald Dibarboure
Earth Syst. Sci. Data, 13, 5469–5482, https://doi.org/10.5194/essd-13-5469-2021, https://doi.org/10.5194/essd-13-5469-2021, 2021
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We investigate how mapping sea level in the Arctic Ocean can benefit from combining data from three satellite radar altimeters: CryoSat-2, Sentinel-3A and SARAL/AltiKa. A dedicated processing for SARAL/AltiKa provides a baseline for the cross-referencing of CryoSat-2 and Sentinel-3A before mapping. We show that by combining measurements coming from three missions, we are able to increase the resolution of gridded sea level fields in the ice-covered Arctic Ocean.
Zhan Hu, Simei Lian, Huaiyu Wei, Yulong Li, Marcel Stive, and Tomohiro Suzuki
Earth Syst. Sci. Data, 13, 4987–4999, https://doi.org/10.5194/essd-13-4987-2021, https://doi.org/10.5194/essd-13-4987-2021, 2021
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The process of wave attenuation in vegetation is important as it is related to the coastal protection service of these coastal ecosystems. In intertidal environments, waves often propagate into vegetation fields with underlying tidal currents, but the effect of these currents on the wave attenuation is often overlooked, and the relevant dataset is rarely available. Here, we present a dataset of wave propagation through vegetation with following and opposing currents to assist further studies.
Petra Zemunik, Jadranka Šepić, Havu Pellikka, Leon Ćatipović, and Ivica Vilibić
Earth Syst. Sci. Data, 13, 4121–4132, https://doi.org/10.5194/essd-13-4121-2021, https://doi.org/10.5194/essd-13-4121-2021, 2021
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A new global dataset – MISELA (Minute Sea-Level Analysis) – has been developed and contains quality-checked sea-level records from 331 tide gauges worldwide for a period from 2004 to 2019. The dataset is appropriate for research on atmospherically induced high-frequency sea-level oscillations. Research on these oscillations is important, as they can, like all sea-level extremes, seriously threaten coastal zone infrastructure and populations.
Michael G. Hart-Davis, Gaia Piccioni, Denise Dettmering, Christian Schwatke, Marcello Passaro, and Florian Seitz
Earth Syst. Sci. Data, 13, 3869–3884, https://doi.org/10.5194/essd-13-3869-2021, https://doi.org/10.5194/essd-13-3869-2021, 2021
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Ocean tides are an extremely important process for a variety of oceanographic applications, particularly in understanding coastal sea-level rise. Tidal signals influence satellite altimetry estimations of the sea surface, which has resulted in the development of ocean tide models to account for such signals. The EOT20 ocean tide model has been developed at DGFI-TUM using residual analysis of satellite altimetry, with the focus on improving the estimation of ocean tides in the coastal region.
Denise Dettmering, Felix L. Müller, Julius Oelsmann, Marcello Passaro, Christian Schwatke, Marco Restano, Jérôme Benveniste, and Florian Seitz
Earth Syst. Sci. Data, 13, 3733–3753, https://doi.org/10.5194/essd-13-3733-2021, https://doi.org/10.5194/essd-13-3733-2021, 2021
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In this study, a new gridded altimetry-based regional sea level dataset for the North Sea is presented, named North SEAL. It is based on long-term multi-mission cross-calibrated altimetry data consistently preprocessed with coastal dedicated algorithms. On a 6–8 km wide triangular mesh, North SEAL provides time series of monthly sea level anomalies as well as sea level trends and amplitudes of the mean annual sea level cycle for the period 1995–2019 for various applications.
Robert Hagen, Andreas Plüß, Romina Ihde, Janina Freund, Norman Dreier, Edgar Nehlsen, Nico Schrage, Peter Fröhle, and Frank Kösters
Earth Syst. Sci. Data, 13, 2573–2594, https://doi.org/10.5194/essd-13-2573-2021, https://doi.org/10.5194/essd-13-2573-2021, 2021
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We established an open-access, integrated marine data collection for 1996 to 2015 in the German Bight as a database of scientific, economic, and governmental interest. This paper presents data for tidal elevation, depth-averaged current velocity, bottom shear stress, depth-averaged salinity, and wave parameters and spectra at a high temporal and spatial resolution. Data are additionally processed into meaningful parameters (i.e., tidal characteristic values, e.g., tidal range) for accessibility.
Mengmeng Cao, Kebiao Mao, Yibo Yan, Jiancheng Shi, Han Wang, Tongren Xu, Shu Fang, and Zijin Yuan
Earth Syst. Sci. Data, 13, 2111–2134, https://doi.org/10.5194/essd-13-2111-2021, https://doi.org/10.5194/essd-13-2111-2021, 2021
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We constructed a temperature depth and observation time correction model to eliminate the sampling depth and temporal differences among different data. Then, we proposed a reconstructed spatial model that filters and removes missing pixels and low-quality pixels contaminated by clouds from raw SST images and retrieves real sea surface temperatures under cloud coverage based on multisource data to generate a high-quality unified global SST product with long-term spatiotemporal continuity.
Frédéric Cyr and Peter S. Galbraith
Earth Syst. Sci. Data, 13, 1807–1828, https://doi.org/10.5194/essd-13-1807-2021, https://doi.org/10.5194/essd-13-1807-2021, 2021
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Climate indices are often regarded as simple ways to relate mean environmental conditions to the state of an ecosystem. Such indices are often used to inform fisheries scientists and managers or used in fisheries resource assessments and ecosystem studies. The Newfoundland and Labrador (NL) climate index aims to describe the environmental conditions on the NL shelf and in the Northwest Atlantic as a whole. It consists of annual normalized anomalies of 10 subindices relevant for the NL shelf.
Patricia K. Quinn, Elizabeth J. Thompson, Derek J. Coffman, Sunil Baidar, Ludovic Bariteau, Timothy S. Bates, Sebastien Bigorre, Alan Brewer, Gijs de Boer, Simon P. de Szoeke, Kyla Drushka, Gregory R. Foltz, Janet Intrieri, Suneil Iyer, Chris W. Fairall, Cassandra J. Gaston, Friedhelm Jansen, James E. Johnson, Ovid O. Krüger, Richard D. Marchbanks, Kenneth P. Moran, David Noone, Sergio Pezoa, Robert Pincus, Albert J. Plueddemann, Mira L. Pöhlker, Ulrich Pöschl, Estefania Quinones Melendez, Haley M. Royer, Malgorzata Szczodrak, Jim Thomson, Lucia M. Upchurch, Chidong Zhang, Dongxiao Zhang, and Paquita Zuidema
Earth Syst. Sci. Data, 13, 1759–1790, https://doi.org/10.5194/essd-13-1759-2021, https://doi.org/10.5194/essd-13-1759-2021, 2021
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ATOMIC took place in the northwestern tropical Atlantic during January and February of 2020 to gather information on shallow atmospheric convection, the effects of aerosols and clouds on the ocean surface energy budget, and mesoscale oceanic processes. Measurements made from the NOAA RV Ronald H. Brown and assets it deployed (instrumented mooring and uncrewed seagoing vehicles) are described herein to advance widespread use of the data by the ATOMIC and broader research communities.
Cited articles
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Barkan, R., McWilliams, J. C., Shchepetkin, A. F., Molemaker, M. J., Renault, L., Bracco, A., and Choi, J.: Submesoscale dynamics in the northern Gulf of Mexico. Part I: Regional and seasonal characterization and the role of River outflow, J. Phys. Oceanogr., 47, 2325–2346, https://doi.org/10.1175/JPO-D-17-0035.1, 2017. a
Bracco, A., Choi, J., Joshi, K., Luo, H., and McWilliams, J. C.: Submesoscale currents in the Northern Gulf of Mexico: Deep phenomena and dispersion over the continental slope, Ocean Modell., 101, 43–58, https://doi.org/10.1016/j.ocemod.2016.03.002, 2016. a
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DiMarco, S. F., Nowlin, Jr., W. D., and Reid, R. O.: A statistical description of the velocity fields from upper ocean drifters in the Gulf of Mexico, in: Circulation in the Gulf of Mexico: Observations and Models, edited by: Sturges, W. and Lugo-Fernández, A., American Geophysical Union, Geophys. Monogr. Ser., 161, 101–110, https://doi.org/10.1029/GM161, 2005. a
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Hansen, D. V. and Poulain, P.-M.: Quality control and interpolations of WOCE-TOGA drifter data, J. Atmos. Ocean Tech., 13, 900–909, https://doi.org/10.1175/1520-0426(1996)013<0900:QCAIOW>2.0.CO;2, 1996. a
Haza, A. C., D'Asaro, E., Chang, H., Chen, S., Curcic, M., Guigand, C., Huntley, H. S., Jacobs, G., Novelli, G., Ozgokmen, T. M., Poje, A. C., Ryan, E., and Shcherbina, A.: Drogue status of the Lagrangian Submesoscale Experiment (LASER) surface drifters, distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University-Corpus Christi, https://doi.org/10.7266/N7QN656H, 2017. a
Haza, A. C., D'Asaro, E., Chang, H., Chen, S., Curcic, M., Guigand, C., Huntley, H. S., Jacobs, G., Novelli, G., Özgökmen, T. M., Poje, A. C., Ryan, E., and Shcherbina, A.: Drogue-loss detection for surface drifters during the Lagrangian Submesoscale Experiment (LASER), J. Atmos. Ocean Tech., 35, 705–725, https://doi.org/10.1175/JTECH-D-17-0143.1, 2018. a, b, c, d
Howard, M. K. and DiMarco, S. F.: LATEX A Data Report: Drifters and Miscellaneous Instruments, Tech. rep., U. S. Dept. of the Interior, Minerals Management Service, College Station, Texas, ftp://ftp.nodc.noaa.gov/nodc/archive/arc0001/9800141/1.1/data/0-data/reports/drift.pdf (last access: 17 February 2021), OCS contract no. 14-35-0001-30509, 1998. a
Huntley, H., Novelli, G., Poje, A., Miron, P., and Ryan, E.: Submesoscale Processes and Lagrangian Analysis on the Shelf (SPLASH) surface drifter's interpolated to 5-minute intervals data in the Louisiana Bight from 2017-04-19 to 2017-06-08, Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University Corpus Christi, https://doi.org/10.7266/n7-0pkg-hd54, 2017. a, b
Joye, S. B., Bracco, A., Özgökmen, T. M., Chanton, J. P., Grosell, M., MacDonald, I. R., Cordes, E. E., Montoya, J. P., and Passow, U.: The Gulf of Mexico ecosystem, six years after the Macondo oil well blowout, Deep-Sea Res. Pt. II, 129, 4–19, https://doi.org/10.1016/j.dsr2.2016.04.018, 2016. a
Le Hénaff, M., Kourafalou, V. H., Dussurget, R., and Lumpkin, R.: Cyclonic activity in the eastern Gulf of Mexico: Characterization from along-track altimetry and in situ drifter trajectories, Prog. Oceanogr., 120, 120–138, https://doi.org/10.1016/j.pocean.2013.08.002, 2014. a, b
Lilly, J. M.: jLab: A data analysis package for Matlab, v1.7.0, https://doi.org/10.5281/zenodo.4547006, http://www.jmlilly.net/software (last access: 17 February 2021), 2021. a
Lilly, J. M. and Pérez-Brunius, P.: GulfDrifters: a consolidated surface drifter dataset for the Gulf of Mexico (Version 1.1.0), https://doi.org/10.5281/zenodo.3985917, Zenodo, 2021a. a, b
Lilly, J. M. and Pérez-Brunius, P.: GulfFLow: a gridded surface current product for the Gulf of Mexico from consolidated drifter measurements (Version 1.1.0), https://doi.org/10.5281/zenodo.3978793, Zenodo, 2021b. a, b
Liu, Y. and Weisberg, R. H.: Evaluation of trajectory modeling in different dynamic regions using normalized cumulative Lagrangian separation, J. Geophys. Res.-Oceans, 116, 1–13, https://doi.org/10.1029/2010JC006837, 2011. a, b
Liu, Y., Weisberg, R. H., Hu, C., and Zheng, L.: Tracking the Deepwater Horizon oil spill: A modeling perspective, Eos, 92, 45–46, https://doi.org/10.1029/2011EO060001, 2011. a
Liu, Y., MacFadyen, A., Li, Z.-G., and Weisberg, R. H. (Eds.): Monitoring and modeling the Deepwater Horizon oil spill: A record-breaking enterprise, American Geophysical Union, Geophys. Monogr. Ser., 195, 271 pp., https://doi.org/10.1029/GM195, 2013a. a
Liu, Y., Weisberg, R. H., Hu, C., Kovach, C., and Riethmüller, R.: Evolution of the Loop Current system during the Deepwater Horizon oil spill event as observed with drifters and satellites, in: Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, edited by: Liu, Y., MacFadyen, A., Ji, Z.-G., and Weisberg, R. H., American Geophysical Union, Geophys. Monogr. Ser., 195, 91–101, https://doi.org/10.1029/GM195, 2013b. a, b, c
Liu, Y., Weisberg, R. H., Hu, C., and Zheng, L.: Trajectory forecast as a rapid response to the Deepwater Horizon oil spill, in: Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, edited by: Liu, Y., MacFadyen, A., Ji, Z.-G., and Weisberg, R. H., American Geophysical Union, Geophys. Monogr. Ser., 195, 153–165, https://doi.org/10.1029/GM195, 2013c. a
Liu, Y., Weisberg, R. H., Vignudelli, S., and Mitchum, G.: Evaluation of altimetry-derived surface current products using Lagrangian drifter trajectories in the eastern Gulf of Mexico, J. Geophys. Res. Oceans, 119, 2827–2842, https://doi.org/10.1002/2013JC009710, 2014. a
Lumpkin, R. and Centurioni, L.: NOAA Global Drifter Program quality-controlled 6-hour interpolated data from ocean surface drifting buoys, https://doi.org/10.25921/7NTX-Z961, 2019. a
Lumpkin, R. and Johnson, G. C.: Global ocean surface velocities from drifters: Mean, variance, El Niño–Southern Oscillation response, and seasonal cycle, J. Geophys. Res., 118, 2992–3006, 2013. a
Lumpkin, R. and Pazos, M.: Lagrangian Analysis and Prediction in Coastal and Ocean Processes, chap. Measuring surface currents with Surface Velocity Program drifters: the instrument, its data, and some recent results, Cambridge University Press, Cambridge, UK, 39–67, https://doi.org/10.1017/CBO9780511535901.003, 2007. a, b
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Short summary
A large set of historical surface drifter data from the Gulf of Mexico are processed and assimilated into a spatially and temporally gridded dataset called GulfFlow, forming a significant resource for studying the circulation and variability in this important region. The uniformly processed historical drifter data interpolated to hourly resolution from all publicly available sources are also distributed in a separate product. A greatly improved map of the mean circulation is presented.
A large set of historical surface drifter data from the Gulf of Mexico are processed and...
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