Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5737-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5737-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
23 Dec 2022
Data description article |
| 23 Dec 2022
| 23 Dec 2022
A compilation of global bio-optical in situ data for ocean colour satellite applications – version three
André Valente
CORRESPONDING AUTHOR
MARE - Marine and Environmental Sciences Centre,
Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016
Lisboa, Portugal
AIR Centre – Atlantic International Research Centre,
Parque de Ciência e Tecnologia da Ilha Terceira, 9700-702 Angra do
Heroísmo, Portugal
Shubha Sathyendranath
Plymouth Marine Laboratory, Plymouth PL1 3DH,
UK
Vanda Brotas
MARE - Marine and Environmental Sciences Centre,
Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016
Lisboa, Portugal
Plymouth Marine Laboratory, Plymouth PL1 3DH,
UK
Steve Groom
Plymouth Marine Laboratory, Plymouth PL1 3DH,
UK
Michael Grant
Plymouth Marine Laboratory, Plymouth PL1 3DH,
UK
EUMETSAT, Eumetsat-Allee 1, 64295 Darmstadt,
Germany
Thomas Jackson
Plymouth Marine Laboratory, Plymouth PL1 3DH,
UK
Andrei Chuprin
Plymouth Marine Laboratory, Plymouth PL1 3DH,
UK
Malcolm Taberner
EUMETSAT, Eumetsat-Allee 1, 64295 Darmstadt,
Germany
Ruth Airs
Plymouth Marine Laboratory, Plymouth PL1 3DH,
UK
David Antoine
Sorbonne Université, CNRS, Laboratoire
d'Océanographie de Villefranche, LOV, 06230 Villefranche-sur-Mer,
France
Remote Sensing and Satellite Research Group, School of
Earth and Planetary Sciences, Curtin University, Perth, WA 6845,
Australia
Robert Arnone
University of Southern Mississippi, Stennis Space Center,
MS, USA
William M. Balch
Bigelow Laboratory for Ocean Sciences, 60 Bigelow Dr.,
East Boothbay ME 04544, Maine, USA
Kathryn Barker
ARGANS Ltd, UK
CSIRO Oceans and Atmosphere, Australia
Australian Research Data Commons, Caulfield East,
Australia
Ray Barlow
Bayworld Centre for Research and Education, Cape Town,
South Africa
Simon Bélanger
Université du Québec à Rimouski, Rimouski
(Québec), Canada
Jean-François Berthon
European Commission, Joint Research Centre, Ispra,
Italy
Şükrü Beşiktepe
Dokuz Eylul University, Institute of Marine Science and
Technology, Izmir, Turkey
Yngve Borsheim
Institute of Marine Research, Bergen,
Norway
Astrid Bracher
Alfred-Wegener-Institute Helmholtz Centre for Polar and
Marine Research, Bremerhaven, Germany
Institute of Environmental Physics, University Bremen,
Bremen, Germany
Vittorio Brando
CSIRO Oceans and Atmosphere, Australia
CNR – ISMAR, Rome, Italy
Robert J. W. Brewin
Plymouth Marine Laboratory, Plymouth PL1 3DH,
UK
Centre for Geography and Environmental Science, College
of Life and Environmental Sciences, Penryn Campus, University of Exeter,
Cornwall TR10 9FE, UK
Elisabetta Canuti
European Commission, Joint Research Centre, Ispra,
Italy
Francisco P. Chavez
Monterey Bay Aquarium Research Institute, Moss Landing,
CA, USA
Andrés Cianca
PLOCAN-Oceanic Platform of the Canary Islands. Carretera
de Taliarte, 35214 Telde, Gran Canaria, Spain
Hervé Claustre
Sorbonne Université, CNRS, Laboratoire
d'Océanographie de Villefranche, LOV, 06230 Villefranche-sur-Mer,
France
Lesley Clementson
CSIRO Oceans and Atmosphere, Australia
Richard Crout
Naval Research Laboratory, Stennis Space Center, MS,
USA
Afonso Ferreira
MARE - Marine and Environmental Sciences Centre,
Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016
Lisboa, Portugal
Scott Freeman
NASA Goddard Space Flight Center, Greenbelt, Maryland,
USA
Science Systems and Applications, Inc., 10210 Greenbelt
Road, Suite 600, Lanham, MD, USA
Robert Frouin
Scripps Institution of Oceanography, University of
California San Diego, CA, USA
Carlos García-Soto
Spanish Institute of Oceanography (IEO), Corazón de
María 8, 28002 Madrid, Spain
Plentziako Itsas Estazioa/Euskal Herriko Unibetsitatea
(PIE/EHU), Areatza z/g, 48620 Plentzia, Spain
Stuart W. Gibb
Environmental Research Institute, North Highland
College, University of the Highlands and Islands, Thurso, Scotland,
UK
Ralf Goericke
Scripps Institution of Oceanography, University of
California San Diego, CA, USA
Richard Gould
Naval Research Laboratory, Stennis Space Center, MS,
USA
Nathalie Guillocheau
Earth Research Institute, University of California,
Santa Barbara, California, USA
Stanford B. Hooker
NASA Goddard Space Flight Center, Greenbelt, Maryland,
USA
Chuamin Hu
College of Marine Science, University of South Florida,
140 Seventh Avenue, South, St. Petersburg FL 33701, USA
Mati Kahru
Scripps Institution of Oceanography, University of
California San Diego, CA, USA
Milton Kampel
Earth Observation and Geoinformatics Division, National
Space Research Institute (INPE), Sao Jose dos Campos, Brazil
Holger Klein
Operational Oceanography Group, Federal Maritime and
Hydrographic Agency, Hamburg, Germany
Susanne Kratzer
Department of Ecology, Environment and Plant Sciences,
Stockholm University, 106 91 Stockholm, Sweden
Raphael Kudela
University of California Santa Cruz, Santa Cruz, CA
USA
Jesus Ledesma
Instituto del Mar del Perú, Callao,
Peru
Steven Lohrenz
School for Marine Science and Technology, University of
Massachusetts Dartmouth, 836 South Rodney French Boulevard, New Bedford MA
02744, USA
Hubert Loisel
Laboratoire d'Océanologie et de Géosciences,
Université du Littoral-Côte-d'Opale, Université Lille, CNRS, UMR
8187, LOG, 32 avenue Foch, Wimereux, France
Antonio Mannino
NASA Goddard Space Flight Center, Greenbelt, Maryland,
USA
Victor Martinez-Vicente
Plymouth Marine Laboratory, Plymouth PL1 3DH,
UK
Patricia Matrai
Bigelow Laboratory for Ocean Sciences, 60 Bigelow Dr.,
East Boothbay ME 04544, Maine, USA
David McKee
Physics Dept, University of Strathclyde, Glasgow, G4
0NG, Scotland
Brian G. Mitchell
Scripps Institution of Oceanography, University of
California San Diego, CA, USA
Tiffany Moisan
NASA Goddard Space Flight Center, Wallops Flight
Facility, Wallops Island, VA, USA
deceased
Enrique Montes
Ocean Chemistry & Ecosystems Division, NOAA Atlantic
Oceanographic and Meteorological Laboratory, Miami, FL, USA
University of Miami Cooperative Institute for Marine
& Atmospheric Studies (CIMAS), 4600 Rickenbacker Causeway, Miami FL
33149, USA
Frank Muller-Karger
Institute for Marine Remote Sensing/ImaRS, College of
Marine Science, University of South Florida, FL, USA
Aimee Neeley
NASA Goddard Space Flight Center, Greenbelt, Maryland,
USA
Michael Novak
NASA Goddard Space Flight Center, Greenbelt, Maryland,
USA
Leonie O'Dowd
Fisheries and Ecosystem Advisory Services, Marine
Institute, Rinville – Oranmore, Galway, Ireland
Michael Ondrusek
NOAA/NESDIS/STAR/SOCD, College Park, MD,
USA
Trevor Platt
Plymouth Marine Laboratory, Plymouth PL1 3DH,
UK
deceased
Alex J. Poulton
Lyell Centre for Earth and Marine Science and
Technology, Heriot-Watt University, Edinburgh, UK
Michel Repecaud
IFREMER Centre de Brest, Plouzane, France
Rüdiger Röttgers
Institute of Carbon Cycles, Helmholtz-Zentrum Hereon,
Geesthacht, Germany
Thomas Schroeder
CSIRO Oceans and Atmosphere, Australia
Timothy Smyth
Plymouth Marine Laboratory, Plymouth PL1 3DH,
UK
Denise Smythe-Wright
Ocean Biogeochemistry and Ecosystems, National
Oceanography Centre, Waterfront Campus, Southampton, UK
Heidi M. Sosik
Biology Department, Woods Hole Oceanographic
Institution, Woods Hole, MA, USA
Crystal Thomas
NASA Goddard Space Flight Center, Greenbelt, Maryland,
USA
Rob Thomas
Marine Institute, Rinville, Oranmore, Galway,
Ireland
Gavin Tilstone
Plymouth Marine Laboratory, Plymouth PL1 3DH,
UK
Andreia Tracana
MARE - Marine and Environmental Sciences Centre,
Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016
Lisboa, Portugal
Michael Twardowski
Harbor Branch Oceanographic Institute, Fort Pierce, FL,
USA
Vincenzo Vellucci
Sorbonne Université, CNRS, Institut de la Mer de
Villefranche, IMEV, 06230 Villefranche-sur-Mer, France
Kenneth Voss
University of Miami, Coral Gables, FL,
USA
Jeremy Werdell
NASA Goddard Space Flight Center, Greenbelt, Maryland,
USA
Marcel Wernand
Royal Netherlands Institute for Sea Research, Texel,
the Netherlands
deceased
Bozena Wojtasiewicz
CSIRO Oceans and Atmosphere, Australia
Simon Wright
Australian Antarctic Division; IMAS, University of
Tasmania; and the Antarctic Climate and Ecosystems Cooperative Research
Centre, Hobart, Australia
Giuseppe Zibordi
European Commission, Joint Research Centre, Ispra,
Italy
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Ocean Sci., 22, 1457–1481, https://doi.org/10.5194/os-22-1457-2026, https://doi.org/10.5194/os-22-1457-2026, 2026
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Joaquín E. Chaves, Crystal S. Thomas, and Antonio Mannino
EGUsphere, https://doi.org/10.5194/egusphere-2026-1540, https://doi.org/10.5194/egusphere-2026-1540, 2026
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Satellites monitor ocean health by measuring microscopic plant pigments, but their accuracy depends on reliable water samples collected at sea. NASA has analyzed over 30,000 such samples since 2011. We found that most pigments were measured with better than 5 % agreement between duplicates, meeting established quality standards. Variability was largest for rare pigments at low concentrations, reflecting natural ocean patchiness rather than instrument limitations.
Joost de Vries, Fanny M. Monteiro, Alex J. Poulton, Nicola A. Wiseman, and Levi J. Wolf
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Calcifying phytoplankton ('coccolithophores') are a diverse group of organisms which play a key role in the ocean's carbon cycle. Despite the diversity of these organisms, they are generally viewed as a single group with a uniform response to climate change. Here we show using global machine learning stock estimates that doing so risks biasing our understanding of the role of these organisms in the carbon cycle and their response to environmental changes.
Moritz Zeising, Laurent Oziel, Silke Thoms, Özgür Gürses, Judith Hauck, Bernd Heinold, Svetlana N. Losa, Manuela van Pinxteren, Christoph Völker, Sebastian Zeppenfeld, and Astrid Bracher
Geosci. Model Dev., 19, 2077–2109, https://doi.org/10.5194/gmd-19-2077-2026, https://doi.org/10.5194/gmd-19-2077-2026, 2026
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We assess the implementation of additional organic carbon pathways into a global setup of a numerical model, which simulates the ocean circulation, sea ice, and biogeochemical processes. With a focus on the Arctic Ocean, this model tracks the temporal and spatial dynamics of phytoplankton, exudation of organic carbon, and its aggregation to so-called transparent exopolymer particles. We evaluate the simulation using measurements from ship-based and remote-sensing campaigns in the Arctic Ocean.
Ana I. Dogliotti, Reinaldo A. Maenza, Moira Luz Clara, Vivian A. Lutz, and Robert Frouin
Biogeosciences, 23, 1859–1880, https://doi.org/10.5194/bg-23-1859-2026, https://doi.org/10.5194/bg-23-1859-2026, 2026
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We analyzed 22 years of satellite and modeled data to study how light and mixing shape phytoplankton blooms on the Argentine Continental Shelf. Blooms start earlier on the central shelf and coast, and later on the deeper, colder Patagonian Shelf. Bloom intensity is highest in nutrient-rich, well-lit waters. Light penetration and mixing are key drivers, but local ocean features also influence bloom patterns. These findings improve our ability to predict ocean productivity and ecosystem behavior.
Ehsan Mehdipour, Hongyan Xi, Alexander Barth, Aida Alvera-Azcárate, Adalbert Wilhelm, and Astrid Bracher
Geosci. Model Dev., 19, 1619–1643, https://doi.org/10.5194/gmd-19-1619-2026, https://doi.org/10.5194/gmd-19-1619-2026, 2026
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Phytoplankton are vital for marine ecosystems and nutrient cycling, detectable by optical satellites. Data gaps caused by clouds and other non-optimal conditions limit comprehensive analyses like trend monitoring. This study evaluated DINCAE and DINEOF gap-filling methods for reconstructing chlorophyll a datasets, including total chlorophyll a and five major phytoplankton groups. Both methods showed robust reconstruction capabilities, aiding pattern detection and long-term ocean colour analysis.
Martin Hieronymi, Daniel Behr, Shun Bi, and Rüdiger Röttgers
Earth Syst. Sci. Data, 18, 1307–1329, https://doi.org/10.5194/essd-18-1307-2026, https://doi.org/10.5194/essd-18-1307-2026, 2026
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We present a scientific description of a satellite-based dataset and its novel processing chain. The dataset provides water quality parameters for lakes, rivers, coastal waters, as well as the entire North Sea and Baltic Sea. It further includes a novel estimate of organic carbon across diverse water bodies and the results of an optical water type classification. The dataset and its underlying algorithm provide a valuable foundation for future oceanographic and limnological analyses.
Robert J. D. Spurr, Matt Christi, Nickolay A. Krotkov, Won-Ei Choi, Simon Carn, Can Li, Natalya Kramarova, David Haffner, Eun-Su Yang, Nick Gorkavyi, Alexander Vasilkov, Krzysztof Wargan, Omar Torres, Diego Loyola, Serena Di Pede, J. Pepijn Veefkind, Parker Case, Thomas Schroeder, and Pawan K. Bhartia
Atmos. Meas. Tech., 19, 993–1021, https://doi.org/10.5194/amt-19-993-2026, https://doi.org/10.5194/amt-19-993-2026, 2026
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The submarine eruption of the Hunga volcano released water vapor and sulfur dioxide directly into the stratosphere. The sulfur dioxide formed sulfuric acid aerosols leading to increased scattering of solar ultraviolet radiation (UV), interfering with satellite ozone retrievals. We present a new satellite technique for deriving the amount and height of Hunga aerosols from UV measurements, revealing an unusually low sulfuric acid concentration due to the water-rich conditions in the fresh plume.
Daniel J. Ford, Jamie D. Shutler, Katy L. Sheen, Gavin H. Tilstone, and Vassilis Kitidis
Earth Syst. Sci. Data, 18, 969–988, https://doi.org/10.5194/essd-18-969-2026, https://doi.org/10.5194/essd-18-969-2026, 2026
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Mesoscale eddies are abundant in the global oceans affect the physical, chemical and biological properties of the ocean. These changes can modify the air–sea CO2 fluxes. Here, we present a dataset of air–sea CO2 fluxes for 5996 long lived mesoscale eddies trajectories in the global ocean between 1993 to 2022. These trajectories can be used to understand the processes modifying and controlling the air–sea CO2 fluxes in mesoscale eddies which are supported by a comprehensive uncertainty budget.
Anisbel Leon-Marcos, Manuela van Pinxteren, Sebastian Zeppenfeld, Moritz Zeising, Astrid Bracher, Laurent Oziel, Ina Tegen, and Bernd Heinold
Atmos. Chem. Phys., 26, 1109–1144, https://doi.org/10.5194/acp-26-1109-2026, https://doi.org/10.5194/acp-26-1109-2026, 2026
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This study combines modelled ocean surface concentrations of major marine organic groups with the aerosol-climate model ECHAM-HAM to quantify species-resolved primary marine organic aerosol emissions from 1990 to 2019. Strong seasonality appears, driven by productivity and summer sea-ice loss. Emissions and burdens rise over time, with regional differences across the Arctic and aerosol species.
Daniel J. Ford, Gemma Kulk, Shubha Sathyendranath, and Jamie D. Shutler
Earth Syst. Sci. Data, 18, 569–584, https://doi.org/10.5194/essd-18-569-2026, https://doi.org/10.5194/essd-18-569-2026, 2026
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Chlorophyll a is routinely monitored using ocean colour satellites, however, these data records have gaps. Here we present a methodology to provide a spatially and temporally complete chlorophyll-a record, using Biogeochemical Argo floats as a constraint on wintertime chlorophyll-a, and a statistical kriging approach to fill cloud gaps. Thereby, providing a complete record at monthly 0.25° resolution between 1997 and 2024, consistent to the underlying climate data record.
Žarko Kovač, Marija Bačeković Koloper, Shubha Sathyendranath, Gemma Kulk, Heather Bouman, and Leon Ćatipović
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-820, https://doi.org/10.5194/essd-2025-820, 2026
Revised manuscript under review for ESSD
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We provide a new global dataset of photosynthesis parameters estimated from more than 6000 in situ primary production profiles. Using an inverse modelling approach, we recover 4160 parameter pairs that expand global coverage and support improved marine primary production modelling. The dataset is publicly available through Zenodo repository.
Sarah Daves, Guy Westbrook, Glenn Nolan, Rob Thomas, and Eoghan Daly
Earth Syst. Sci. Data, 18, 333–344, https://doi.org/10.5194/essd-18-333-2026, https://doi.org/10.5194/essd-18-333-2026, 2026
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This paper presents two datasets coming from a 67-year ongoing sea surface temperature time series from Malin Head, Ireland: a full-resolution measured dataset and a standardised data product. The latter of which has been stitched together from different measurement techniques and frequencies to make a more continuous and consistent time series. They have been used in a range of scientific papers to date and an annual warming trend of 0.015–0.022 °C has been found from the data.
Louise Delaigue, Pierre Cauchy, Dorian Cazau, Julien Bonnel, Sara Pensieri, Roberto Bozzano, Anatole Gros-Martial, Christophe Schaeffer, Arnaud David, Paco Stil, Antoine Poteau, Catherine Schmechtig, Edouard Leymarie, and Hervé Claustre
Ocean Sci., 22, 101–117, https://doi.org/10.5194/os-22-101-2026, https://doi.org/10.5194/os-22-101-2026, 2026
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We tested a new way to measure ocean winds using sound recorded deep underwater by an autonomous float. By listening to how wind and waves create noise at the surface, we showed that these floats can track changes in wind speed with good accuracy. This approach can extend wind monitoring to remote seas where satellites and buoys struggle, helping us better understand how the ocean and atmosphere exchange heat, gases, and energy.
Riaz Bibi, Mariana Ribas-Ribas, Leonie Jaeger, Carola Lehners, Lisa Gassen, Edgar Fernando Cortés-Espinoza, Jochen Wollschläger, Claudia Thölen, Hannelore Waska, Jasper Zöbelein, Thorsten Brinkhoff, Isha Athale, Rüdiger Röttgers, Michael Novak, Anja Engel, Theresa Barthelmeß, Josefine Karnatz, Thomas Reinthaler, Dmytro Spriahailo, Gernot Friedrichs, Falko Asmussen Schäfer, and Oliver Wurl
Biogeosciences, 22, 7563–7589, https://doi.org/10.5194/bg-22-7563-2025, https://doi.org/10.5194/bg-22-7563-2025, 2025
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A multidisciplinary mesocosm study was conducted to investigate biogeochemical processes and their relationships in the sea-surface microlayer and underlying water during an induced phytoplankton bloom. Phytoplankton-derived organic matter, fuelled microbial activity and biofilm formation, supporting high bacterial abundance. Distinct temporal patterns in biogeochemical parameters and greater variability in the sea-surface microlayer highlight its influence on air–sea interactions.
Robert H. Lampe, Ariel J. Rabines, Steffaney M. Wood-Rocca, Anne Schulberg, Ralf Goericke, Pratap Venepally, Hong Zheng, Michael R. Stukel, Michael R. Landry, Andrew D. Barton, and Andrew E. Allen
Biogeosciences, 22, 6787–6810, https://doi.org/10.5194/bg-22-6787-2025, https://doi.org/10.5194/bg-22-6787-2025, 2025
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With the likely emergence of satellite-based phytoplankton pigment data, it is increasingly important to examine relationships between phytoplankton pigments and other metrics of phytoplankton community composition. By using quantitative approaches, we show that phytoplankton pigments correlate with nucleic acid-based abundances, and examine how integration of these data addresses ecological questions relating to diversity patterns, harmful algal blooms, and inferring cellular activity.
Sarah Daves, Guy Westbrook, Glenn Nolan, Rob Thomas, and Eoghan Daly
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-589, https://doi.org/10.5194/essd-2025-589, 2025
Revised manuscript not accepted
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This paper presents an ongoing sea surface temperature dataset located at Ballycotton in the south of Ireland. The time series has been developed from deployments of high precision and accuracy sensors, with data beginning in 2010 and being mostly continuous from 2016. The work provides context to the development of the dataset and potential uses for the data. Preliminary warming analysis using this dataset shows an annual warming of 0.064 °C at the location throughout the time series.
Hongyan Xi, Marine Bretagnon, Ehsan Mehdipour, Julien Demaria, Antoine Mangin, and Astrid Bracher
State Planet, 6-osr9, 7, https://doi.org/10.5194/sp-6-osr9-7-2025, https://doi.org/10.5194/sp-6-osr9-7-2025, 2025
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To better understand the marine phytoplankton variability on different scales in both space and time, this study proposes a machine-learning-based scheme to provide continuous and consistent long-term observations of various phytoplankton groups from space on a global scale, which enables time series analysis for further trend and anomaly investigations. This study provides an essential ocean variable to help assess the ocean health in the biogeochemical aspect.
Jason Xavier Prochaska and Robert J. Frouin
Biogeosciences, 22, 4705–4728, https://doi.org/10.5194/bg-22-4705-2025, https://doi.org/10.5194/bg-22-4705-2025, 2025
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Satellites monitor ocean health globally, but we discovered a fundamental physics limitation when measuring phytoplankton – tiny plants essential to marine ecosystems. Our analysis shows that even advanced satellites cannot reliably distinguish phytoplankton from other ocean components. This challenges decades of research and suggests that existing measurements have greater uncertainties than realized. Combining satellite data with direct ocean sampling is needed for better monitoring of these vital organisms.
Henry F. Houskeeper and Stanford B. Hooker
Biogeosciences, 22, 4367–4385, https://doi.org/10.5194/bg-22-4367-2025, https://doi.org/10.5194/bg-22-4367-2025, 2025
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Oceanic light has historically been modeled based on phytoplankton concentration, consistent with a grazing food chain. This study indicates that oceanic light variability is more closely linked to variability in dissolved organic matter. The result is consistent with advancing knowledge of the microbial loop, wherein dissolved compounds are important ecosystem drivers. The findings also indicate that accurate retrieval of dissolved organics is key to the remote sensing of phytoplankton.
Kévin Robache, Zéline Hubert, Clémentine Gallot, Alexandre Epinoux, Arnaud P. Louchart, Jean-Valéry Facq, Alain Lefebvre, Michel Répécaud, Vincent Cornille, Florine Verhaeghe, Yann Audinet, Laurent Brutier, François G. Schmitt, and Luis Felipe Artigas
Ocean Sci., 21, 1787–1811, https://doi.org/10.5194/os-21-1787-2025, https://doi.org/10.5194/os-21-1787-2025, 2025
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By deploying an automated flow cytometer at a coastal monitoring station in France, we tracked phytoplankton changes every 2 h during spring (2021 and 2022) and summer (2022). Our study revealed distinct seasonal shifts, e.g., with diatoms and haptophytes in spring. Rare weather events rapidly altered community composition. We found that most variability occurred on short timescales, underscoring the importance of high-frequency monitoring for understanding marine phytoplankton dynamics.
Vlad A. Macovei, Louise C. V. Rewrie, Rüdiger Röttgers, and Yoana G. Voynova
Biogeosciences, 22, 3375–3396, https://doi.org/10.5194/bg-22-3375-2025, https://doi.org/10.5194/bg-22-3375-2025, 2025
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We found that biogeochemical variability at the land–sea interface (LSI) in two major temperate estuaries is modulated by the 14 d spring–neap tidal cycle, with large effects on dissolved inorganic and organic carbon concentrations and distribution. As this effect increases the strength of the carbon source to the atmosphere by up to 74 % during spring tide, it should be accounted for in regional models, which aim to resolve biogeochemical processing at the LSI.
Qi Zheng, Johannes J. Viljoen, Xuerong Sun, Žarko Kovač, Shubha Sathyendranath, and Robert J. W. Brewin
Biogeosciences, 22, 3253–3278, https://doi.org/10.5194/bg-22-3253-2025, https://doi.org/10.5194/bg-22-3253-2025, 2025
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Phytoplankton contribute to half of Earth’s primary production, but not a lot is known about subsurface phytoplankton, living at the base of the sunlit ocean. We develop a two-layered box model to simulate phytoplankton seasonal and interannual variations in different depth layers of the ocean. Our model captures seasonal and long-term trends of the two layers, explaining how they respond to a warming ocean, furthering our understanding of how phytoplankton are responding to climate change.
Anisbel Leon-Marcos, Moritz Zeising, Manuela van Pinxteren, Sebastian Zeppenfeld, Astrid Bracher, Elena Barbaro, Anja Engel, Matteo Feltracco, Ina Tegen, and Bernd Heinold
Geosci. Model Dev., 18, 4183–4213, https://doi.org/10.5194/gmd-18-4183-2025, https://doi.org/10.5194/gmd-18-4183-2025, 2025
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This study represents the primary marine organic aerosol (PMOA) emissions, focusing on their sea–atmosphere transfer. Using the FESOM2.1–REcoM3 model, concentrations of key organic biomolecules were estimated and integrated into the ECHAM6.3–HAM2.3 aerosol–climate model. Results highlight the influence of marine biological activity and surface winds on PMOA emissions, with reasonably good agreement with observations improving aerosol representation in the southern oceans.
Alain Fumenia, Hubert Loisel, Rick A. Reynolds, and Dariusz Stramski
Biogeosciences, 22, 2461–2484, https://doi.org/10.5194/bg-22-2461-2025, https://doi.org/10.5194/bg-22-2461-2025, 2025
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Particulate organic nitrogen (PON) plays a central role in ocean biogeochemistry, yet limited in situ data hinder a full understanding of PON variability and associated processes. Measurements of optical properties offer an alternative for assessing PON across diverse marine environments. Our analysis reveals strong relationships between PON and optical properties, supporting a promising means to assess PON from optical measurements performed in situ or conducted from remote-sensing platforms.
Ben J. Fisher, Alex J. Poulton, Michael P. Meredith, Kimberlee Baldry, Oscar Schofield, and Sian F. Henley
Biogeosciences, 22, 975–994, https://doi.org/10.5194/bg-22-975-2025, https://doi.org/10.5194/bg-22-975-2025, 2025
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The Southern Ocean is a rapidly warming environment, with subsequent impacts on ecosystems and biogeochemical cycling. This study examines changes in phytoplankton and biogeochemistry using a range of climate models. Under climate change, the Southern Ocean will be warmer, more acidic and more productive and will have reduced nutrient availability by 2100. However, there is substantial variability between models across key productivity parameters. We propose ways of reducing this uncertainty.
Thomas M. Jordan, Giorgio Dall'Olmo, Gavin Tilstone, Robert J. W. Brewin, Francesco Nencioli, Ruth Airs, Crystal S. Thomas, and Louise Schlüter
Earth Syst. Sci. Data, 17, 493–516, https://doi.org/10.5194/essd-17-493-2025, https://doi.org/10.5194/essd-17-493-2025, 2025
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We present a compilation of water optical properties and phytoplankton pigments from the surface of the Atlantic Ocean collected during nine cruises between 2009 and 2019. We derive continuous Chlorophyll a concentrations (a biomass proxy) from water absorption. We then illustrate geographical variations and relationships for water optical properties, Chlorophyll a, and other pigments. The dataset will be useful to researchers in ocean optics, remote sensing, ecology, and biogeochemistry.
Jaime Pitarch and Vittorio Ernesto Brando
Earth Syst. Sci. Data, 17, 435–460, https://doi.org/10.5194/essd-17-435-2025, https://doi.org/10.5194/essd-17-435-2025, 2025
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This research presents a comprehensive synthetic dataset of bio-optical properties and radiometric quantities in the optical domain, resolved for all sun-view angular combinations, from ultraviolet to visible light, that provide aid in the development of satellite algorithms, including directional problems. The dataset will significantly enhance research on light behavior in water and support future hyperspectral missions. It has been made publicly available on Zenodo.
Alex T. Archibald, Bablu Sinha, Maria R. Russo, Emily Matthews, Freya A. Squires, N. Luke Abraham, Stephane J.-B. Bauguitte, Thomas J. Bannan, Thomas G. Bell, David Berry, Lucy J. Carpenter, Hugh Coe, Andrew Coward, Peter Edwards, Daniel Feltham, Dwayne Heard, Jim Hopkins, James Keeble, Elizabeth C. Kent, Brian A. King, Isobel R. Lawrence, James Lee, Claire R. Macintosh, Alex Megann, Bengamin I. Moat, Katie Read, Chris Reed, Malcolm J. Roberts, Reinhard Schiemann, David Schroeder, Timothy J. Smyth, Loren Temple, Navaneeth Thamban, Lisa Whalley, Simon Williams, Huihui Wu, and Mingxi Yang
Earth Syst. Sci. Data, 17, 135–164, https://doi.org/10.5194/essd-17-135-2025, https://doi.org/10.5194/essd-17-135-2025, 2025
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Here, we present an overview of the data generated as part of the North Atlantic Climate System Integrated Study (ACSIS) programme that are available through dedicated repositories at the Centre for Environmental Data Analysis (CEDA; www.ceda.ac.uk) and the British Oceanographic Data Centre (BODC; bodc.ac.uk). The datasets described here cover the North Atlantic Ocean, the atmosphere above (it including its composition), and Arctic sea ice.
Giuseppe Zibordi and Jean-François Berthon
Earth Syst. Sci. Data, 16, 5477–5502, https://doi.org/10.5194/essd-16-5477-2024, https://doi.org/10.5194/essd-16-5477-2024, 2024
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The Coastal Atmosphere and Sea Time Series (CoASTS) and Bio-Optical mapping of Marine Properties (BiOMaP) programs produced bio-optical data supporting satellite ocean color applications across European seas for almost 2 decades. CoASTS and BiOMaP applied equal standardized instruments, measurement methods, quality control schemes and processing codes to ensure temporal and spatial consistency with data products.
Alexandra Kuwano, Amato T. Evan, Blake Walkowiak, and Robert Frouin
Atmos. Chem. Phys., 24, 9843–9868, https://doi.org/10.5194/acp-24-9843-2024, https://doi.org/10.5194/acp-24-9843-2024, 2024
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The dust direct radiative effect is highly uncertain. Here we used new measurements collected over 3 years and during dust storms at a field site in a desert region in the southwestern United States to estimate the regional dust direct radiative effect. We also used novel soil mineralogy retrieved from an airborne spectrometer to estimate this parameter with model output. We find that, in this region, dust has a minimal net cooling effect on this region's climate.
Mathilde Dugenne, Marco Corrales-Ugalde, Jessica Y. Luo, Rainer Kiko, Todd D. O'Brien, Jean-Olivier Irisson, Fabien Lombard, Lars Stemmann, Charles Stock, Clarissa R. Anderson, Marcel Babin, Nagib Bhairy, Sophie Bonnet, Francois Carlotti, Astrid Cornils, E. Taylor Crockford, Patrick Daniel, Corinne Desnos, Laetitia Drago, Amanda Elineau, Alexis Fischer, Nina Grandrémy, Pierre-Luc Grondin, Lionel Guidi, Cecile Guieu, Helena Hauss, Kendra Hayashi, Jenny A. Huggett, Laetitia Jalabert, Lee Karp-Boss, Kasia M. Kenitz, Raphael M. Kudela, Magali Lescot, Claudie Marec, Andrew McDonnell, Zoe Mériguet, Barbara Niehoff, Margaux Noyon, Thelma Panaïotis, Emily Peacock, Marc Picheral, Emilie Riquier, Collin Roesler, Jean-Baptiste Romagnan, Heidi M. Sosik, Gretchen Spencer, Jan Taucher, Chloé Tilliette, and Marion Vilain
Earth Syst. Sci. Data, 16, 2971–2999, https://doi.org/10.5194/essd-16-2971-2024, https://doi.org/10.5194/essd-16-2971-2024, 2024
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Plankton and particles influence carbon cycling and energy flow in marine ecosystems. We used three types of novel plankton imaging systems to obtain size measurements from a range of plankton and particle sizes and across all major oceans. Data were compiled and cross-calibrated from many thousands of images, showing seasonal and spatial changes in particle size structure in different ocean basins. These datasets form the first release of the Pelagic Size Structure database (PSSdb).
Nico Lange, Björn Fiedler, Marta Álvarez, Alice Benoit-Cattin, Heather Benway, Pier Luigi Buttigieg, Laurent Coppola, Kim Currie, Susana Flecha, Dana S. Gerlach, Makio Honda, I. Emma Huertas, Siv K. Lauvset, Frank Muller-Karger, Arne Körtzinger, Kevin M. O'Brien, Sólveig R. Ólafsdóttir, Fernando C. Pacheco, Digna Rueda-Roa, Ingunn Skjelvan, Masahide Wakita, Angelicque White, and Toste Tanhua
Earth Syst. Sci. Data, 16, 1901–1931, https://doi.org/10.5194/essd-16-1901-2024, https://doi.org/10.5194/essd-16-1901-2024, 2024
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The Synthesis Product for Ocean Time Series (SPOTS) is a novel achievement expanding and complementing the biogeochemical data landscape by providing consistent and high-quality biogeochemical time-series data from 12 ship-based fixed time-series programs. SPOTS covers multiple unique marine environments and time-series ranges, including data from 1983 to 2021. All in all, it facilitates a variety of applications that benefit from the collective value of biogeochemical time-series observations.
Sébastien Petton, Fabrice Pernet, Valérian Le Roy, Matthias Huber, Sophie Martin, Éric Macé, Yann Bozec, Stéphane Loisel, Peggy Rimmelin-Maury, Émilie Grossteffan, Michel Repecaud, Loïc Quemener, Michael Retho, Soazig Manac'h, Mathias Papin, Philippe Pineau, Thomas Lacoue-Labarthe, Jonathan Deborde, Louis Costes, Pierre Polsenaere, Loïc Rigouin, Jérémy Benhamou, Laure Gouriou, Joséphine Lequeux, Nathalie Labourdette, Nicolas Savoye, Grégory Messiaen, Elodie Foucault, Vincent Ouisse, Marion Richard, Franck Lagarde, Florian Voron, Valentin Kempf, Sébastien Mas, Léa Giannecchini, Francesca Vidussi, Behzad Mostajir, Yann Leredde, Samir Alliouane, Jean-Pierre Gattuso, and Frédéric Gazeau
Earth Syst. Sci. Data, 16, 1667–1688, https://doi.org/10.5194/essd-16-1667-2024, https://doi.org/10.5194/essd-16-1667-2024, 2024
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Our research highlights the concerning impact of rising carbon dioxide levels on coastal areas. To better understand these changes, we've established an observation network in France. By deploying pH sensors and other monitoring equipment at key coastal sites, we're gaining valuable insights into how various factors, such as freshwater inputs, tides, temperature, and biological processes, influence ocean pH.
S. Alejandra Castillo Cieza, Rachel H. R. Stanley, Pierre Marrec, Diana N. Fontaine, E. Taylor Crockford, Dennis J. McGillicuddy Jr., Arshia Mehta, Susanne Menden-Deuer, Emily E. Peacock, Tatiana A. Rynearson, Zoe O. Sandwith, Weifeng Zhang, and Heidi M. Sosik
Biogeosciences, 21, 1235–1257, https://doi.org/10.5194/bg-21-1235-2024, https://doi.org/10.5194/bg-21-1235-2024, 2024
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The coastal ocean in the northeastern USA provides many services, including fisheries and habitats for threatened species. In summer 2019, a bloom occurred of a large unusual phytoplankton, the diatom Hemiaulus, with nitrogen-fixing symbionts. This led to vast changes in productivity and grazing rates in the ecosystem. This work shows that the emergence of one species can have profound effects on ecosystem function. Such changes may become more prevalent as the ocean warms due to climate change.
Christian Lønborg, Cátia Carreira, Gwenaël Abril, Susana Agustí, Valentina Amaral, Agneta Andersson, Javier Arístegui, Punyasloke Bhadury, Mariana B. Bif, Alberto V. Borges, Steven Bouillon, Maria Ll. Calleja, Luiz C. Cotovicz Jr., Stefano Cozzi, Maryló Doval, Carlos M. Duarte, Bradley Eyre, Cédric G. Fichot, E. Elena García-Martín, Alexandra Garzon-Garcia, Michele Giani, Rafael Gonçalves-Araujo, Renee Gruber, Dennis A. Hansell, Fuminori Hashihama, Ding He, Johnna M. Holding, William R. Hunter, J. Severino P. Ibánhez, Valeria Ibello, Shan Jiang, Guebuem Kim, Katja Klun, Piotr Kowalczuk, Atsushi Kubo, Choon-Weng Lee, Cláudia B. Lopes, Federica Maggioni, Paolo Magni, Celia Marrase, Patrick Martin, S. Leigh McCallister, Roisin McCallum, Patricia M. Medeiros, Xosé Anxelu G. Morán, Frank E. Muller-Karger, Allison Myers-Pigg, Marit Norli, Joanne M. Oakes, Helena Osterholz, Hyekyung Park, Maria Lund Paulsen, Judith A. Rosentreter, Jeff D. Ross, Digna Rueda-Roa, Chiara Santinelli, Yuan Shen, Eva Teira, Tinkara Tinta, Guenther Uher, Masahide Wakita, Nicholas Ward, Kenta Watanabe, Yu Xin, Youhei Yamashita, Liyang Yang, Jacob Yeo, Huamao Yuan, Qiang Zheng, and Xosé Antón Álvarez-Salgado
Earth Syst. Sci. Data, 16, 1107–1119, https://doi.org/10.5194/essd-16-1107-2024, https://doi.org/10.5194/essd-16-1107-2024, 2024
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In this paper, we present the first edition of a global database compiling previously published and unpublished measurements of dissolved organic matter (DOM) collected in coastal waters (CoastDOM v1). Overall, the CoastDOM v1 dataset will be useful to identify global spatial and temporal patterns and to facilitate reuse in studies aimed at better characterizing local biogeochemical processes and identifying a baseline for modelling future changes in coastal waters.
Roy El Hourany, Juan Pierella Karlusich, Lucie Zinger, Hubert Loisel, Marina Levy, and Chris Bowler
Ocean Sci., 20, 217–239, https://doi.org/10.5194/os-20-217-2024, https://doi.org/10.5194/os-20-217-2024, 2024
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Satellite observations offer valuable information on phytoplankton abundance and community structure. Here, we employ satellite observations to infer seven phytoplankton groups at a global scale based on a new molecular method from Tara Oceans. The link has been established using machine learning approaches. The output of this work provides excellent tools to collect essential biodiversity variables and a foundation to monitor the evolution of marine biodiversity.
Clare Lewis, Tim Smyth, Jess Neumann, and Hannah Cloke
Nat. Hazards Earth Syst. Sci., 24, 121–131, https://doi.org/10.5194/nhess-24-121-2024, https://doi.org/10.5194/nhess-24-121-2024, 2024
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Meteotsunami are the result of atmospheric disturbances and can impact coastlines causing injury, loss of life, and damage to assets. This paper introduces a novel intensity index to allow for the quantification of these events at the shoreline. This has the potential to assist in the field of natural hazard assessment. It was trialled in the UK but designed for global applicability and to become a widely accepted standard in coastal planning, meteotsunami forecasting, and early warning systems.
Nicolas Metzl, Jonathan Fin, Claire Lo Monaco, Claude Mignon, Samir Alliouane, David Antoine, Guillaume Bourdin, Jacqueline Boutin, Yann Bozec, Pascal Conan, Laurent Coppola, Frédéric Diaz, Eric Douville, Xavier Durrieu de Madron, Jean-Pierre Gattuso, Frédéric Gazeau, Melek Golbol, Bruno Lansard, Dominique Lefèvre, Nathalie Lefèvre, Fabien Lombard, Férial Louanchi, Liliane Merlivat, Léa Olivier, Anne Petrenko, Sébastien Petton, Mireille Pujo-Pay, Christophe Rabouille, Gilles Reverdin, Céline Ridame, Aline Tribollet, Vincenzo Vellucci, Thibaut Wagener, and Cathy Wimart-Rousseau
Earth Syst. Sci. Data, 16, 89–120, https://doi.org/10.5194/essd-16-89-2024, https://doi.org/10.5194/essd-16-89-2024, 2024
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This work presents a synthesis of 44 000 total alkalinity and dissolved inorganic carbon observations obtained between 1993 and 2022 in the Global Ocean and the Mediterranean Sea at the surface and in the water column. Seawater samples were measured using the same method and calibrated with international Certified Reference Material. We describe the data assemblage, quality control and some potential uses of this dataset.
Sebastian Zeppenfeld, Manuela van Pinxteren, Markus Hartmann, Moritz Zeising, Astrid Bracher, and Hartmut Herrmann
Atmos. Chem. Phys., 23, 15561–15587, https://doi.org/10.5194/acp-23-15561-2023, https://doi.org/10.5194/acp-23-15561-2023, 2023
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Marine carbohydrates are produced in the surface of the ocean, enter the atmophere as part of sea spray aerosol particles, and potentially contribute to the formation of fog and clouds. Here, we present the results of a sea–air transfer study of marine carbohydrates conducted in the high Arctic. Besides a chemo-selective transfer, we observed a quick atmospheric aging of carbohydrates, possibly as a result of both biotic and abiotic processes.
Andrea J. McEvoy, Angus Atkinson, Ruth L. Airs, Rachel Brittain, Ian Brown, Elaine S. Fileman, Helen S. Findlay, Caroline L. McNeill, Clare Ostle, Tim J. Smyth, Paul J. Somerfield, Karen Tait, Glen A. Tarran, Simon Thomas, Claire E. Widdicombe, E. Malcolm S. Woodward, Amanda Beesley, David V. P. Conway, James Fishwick, Hannah Haines, Carolyn Harris, Roger Harris, Pierre Hélaouët, David Johns, Penelope K. Lindeque, Thomas Mesher, Abigail McQuatters-Gollop, Joana Nunes, Frances Perry, Ana M. Queiros, Andrew Rees, Saskia Rühl, David Sims, Ricardo Torres, and Stephen Widdicombe
Earth Syst. Sci. Data, 15, 5701–5737, https://doi.org/10.5194/essd-15-5701-2023, https://doi.org/10.5194/essd-15-5701-2023, 2023
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Western Channel Observatory is an oceanographic time series and biodiversity reference site within 40 km of Plymouth (UK), sampled since 1903. Differing levels of reporting and formatting hamper the use of the valuable individual datasets. We provide the first summary database as monthly averages where comparisons can be made of the physical, chemical and biological data. We describe the database, illustrate its utility to examine seasonality and longer-term trends, and summarize previous work.
Meng Gao, Bryan A. Franz, Peng-Wang Zhai, Kirk Knobelspiesse, Andrew M. Sayer, Xiaoguang Xu, J. Vanderlei Martins, Brian Cairns, Patricia Castellanos, Guangliang Fu, Neranga Hannadige, Otto Hasekamp, Yongxiang Hu, Amir Ibrahim, Frederick Patt, Anin Puthukkudy, and P. Jeremy Werdell
Atmos. Meas. Tech., 16, 5863–5881, https://doi.org/10.5194/amt-16-5863-2023, https://doi.org/10.5194/amt-16-5863-2023, 2023
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This study evaluated the retrievability and uncertainty of aerosol and ocean properties from PACE's HARP2 instrument using enhanced neural network models with the FastMAPOL algorithm. A cascading retrieval method is developed to improve retrieval performance. A global set of simulated HARP2 data is generated and used for uncertainty evaluations. The performance assessment demonstrates that the FastMAPOL algorithm is a viable approach for operational application to HARP2 data after PACE launch.
Neranga K. Hannadige, Peng-Wang Zhai, Meng Gao, Yongxiang Hu, P. Jeremy Werdell, Kirk Knobelspiesse, and Brian Cairns
Atmos. Meas. Tech., 16, 5749–5770, https://doi.org/10.5194/amt-16-5749-2023, https://doi.org/10.5194/amt-16-5749-2023, 2023
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We evaluated the impact of three ocean optical models with different numbers of free parameters on the performance of an aerosol and ocean color remote sensing algorithm using the multi-angle polarimeter (MAP) measurements. It was demonstrated that the three- and seven-parameter bio-optical models can be used to accurately represent both open and coastal waters, whereas the one-parameter model has smaller retrieval uncertainty over open water.
Eva Álvarez, Gianpiero Cossarini, Anna Teruzzi, Jorn Bruggeman, Karsten Bolding, Stefano Ciavatta, Vincenzo Vellucci, Fabrizio D'Ortenzio, David Antoine, and Paolo Lazzari
Biogeosciences, 20, 4591–4624, https://doi.org/10.5194/bg-20-4591-2023, https://doi.org/10.5194/bg-20-4591-2023, 2023
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Chromophoric dissolved organic matter (CDOM) interacts with the ambient light and gives the waters of the Mediterranean Sea their colour. We propose a novel parameterization of the CDOM cycle, whose parameter values have been optimized by using the data of the monitoring site BOUSSOLE. Nutrient and light limitations for locally produced CDOM caused aCDOM(λ) to covary with chlorophyll, while the above-average CDOM concentrations observed at this site were maintained by allochthonous sources.
Aleksandra Cherkasheva, Rustam Manurov, Piotr Kowalczuk, Alexandra N. Loginova, Monika Zabłocka, and Astrid Bracher
EGUsphere, https://doi.org/10.5194/egusphere-2023-2495, https://doi.org/10.5194/egusphere-2023-2495, 2023
Preprint archived
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We aimed to improve the quality of regional Greenland Sea primary production estimates. Seventy two versions of primary production model setups were tested against field data. Best performing models had local biomass and light absorption profiles. Thus by using local parametrizations for these parameters we can improve Arctic primary production model performance. Annual Greenland Sea basin estimates are larger than previously reported.
Hongyan Xi, Marine Bretagnon, Svetlana N. Losa, Vanda Brotas, Mara Gomes, Ilka Peeken, Leonardo M. A. Alvarado, Antoine Mangin, and Astrid Bracher
State Planet, 1-osr7, 5, https://doi.org/10.5194/sp-1-osr7-5-2023, https://doi.org/10.5194/sp-1-osr7-5-2023, 2023
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Continuous monitoring of phytoplankton groups using satellite data is crucial for understanding global ocean phytoplankton variability on different scales in both space and time. This study focuses on four important phytoplankton groups in the Atlantic Ocean to investigate their trend, anomaly and phenological characteristics both over the whole region and at subscales. This study paves the way to promote potentially important ocean monitoring indicators to help sustain the ocean health.
Hubert Loisel, Lucile Duforêt-Gaurier, Trung Kien Tran, Daniel Schaffer Ferreira Jorge, François Steinmetz, Antoine Mangin, Marine Bretagnon, and Odile Hembise Fanton d'Andon
State Planet, 1-osr7, 11, https://doi.org/10.5194/sp-1-osr7-11-2023, https://doi.org/10.5194/sp-1-osr7-11-2023, 2023
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In this paper, we will show how a proxy for particulate composition (PPC), classifying the suspended particulate matter into its organic, mineral, or mixed fractions, can be estimated from remote-sensing observations. The selected algorithm will then be applied to MERIS observations (2002–2012) over global coastal waters to discuss the significance of this new product. A specific focus will be on the English Channel and the southern North Sea.
Raed Halawi Ghosn, Émilie Poisson-Caillault, Guillaume Charria, Armel Bonnat, Michel Repecaud, Jean-Valery Facq, Loïc Quéméner, Vincent Duquesne, Camille Blondel, and Alain Lefebvre
Earth Syst. Sci. Data, 15, 4205–4218, https://doi.org/10.5194/essd-15-4205-2023, https://doi.org/10.5194/essd-15-4205-2023, 2023
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This article describes a long-term (2004–2022) dataset from an in situ instrumented station located in the eastern English Channel and belonging to the COAST-HF network (ILICO). It provides high temporal resolution (sub-hourly) oceanographic and meteorological measurements. The MAREL Carnot dataset can be used to conduct research in marine ecology, oceanography, and data science. It was utilized to characterize recurrent, rare, and extreme events in the coastal area.
Bror F. Jönsson, Christopher L. Follett, Jacob Bien, Stephanie Dutkiewicz, Sangwon Hyun, Gemma Kulk, Gael L. Forget, Christian Müller, Marie-Fanny Racault, Christopher N. Hill, Thomas Jackson, and Shubha Sathyendranath
Geosci. Model Dev., 16, 4639–4657, https://doi.org/10.5194/gmd-16-4639-2023, https://doi.org/10.5194/gmd-16-4639-2023, 2023
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While biogeochemical models and satellite-derived ocean color data provide unprecedented information, it is problematic to compare them. Here, we present a new approach based on comparing probability density distributions of model and satellite properties to assess model skills. We also introduce Earth mover's distances as a novel and powerful metric to quantify the misfit between models and observations. We find that how 3D chlorophyll fields are aggregated can be a significant source of error.
Hubert Loisel, Daniel Schaffer Ferreira Jorge, Rick A. Reynolds, and Dariusz Stramski
Earth Syst. Sci. Data, 15, 3711–3731, https://doi.org/10.5194/essd-15-3711-2023, https://doi.org/10.5194/essd-15-3711-2023, 2023
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Studies of light fields in aquatic environments require data from radiative transfer simulations that are free of measurement errors. In contrast to previously published synthetic optical databases, the present database was created by simulations covering a broad range of seawater optical properties that exhibit probability distributions consistent with a global ocean dominated by open-ocean pelagic environments. This database is intended to support ocean color science and applications.
Clare Lewis, Tim Smyth, David Williams, Jess Neumann, and Hannah Cloke
Nat. Hazards Earth Syst. Sci., 23, 2531–2546, https://doi.org/10.5194/nhess-23-2531-2023, https://doi.org/10.5194/nhess-23-2531-2023, 2023
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Meteotsunami are globally occurring water waves initiated by atmospheric disturbances. Previous research has suggested that in the UK, meteotsunami are a rare phenomenon and tend to occur in the summer months. This article presents a revised and updated catalogue of 98 meteotsunami that occurred between 1750 and 2022. Results also demonstrate a larger percentage of winter events and a geographical pattern highlighting the
hotspotregions that experience these events.
Tihomir S. Kostadinov, Lisl Robertson Lain, Christina Eunjin Kong, Xiaodong Zhang, Stéphane Maritorena, Stewart Bernard, Hubert Loisel, Daniel S. F. Jorge, Ekaterina Kochetkova, Shovonlal Roy, Bror Jonsson, Victor Martinez-Vicente, and Shubha Sathyendranath
Ocean Sci., 19, 703–727, https://doi.org/10.5194/os-19-703-2023, https://doi.org/10.5194/os-19-703-2023, 2023
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We present a remote sensing algorithm to estimate the size distribution of particles suspended in natural near-surface ocean water using ocean color data. The algorithm can be used to estimate the abundance and carbon content of phytoplankton, photosynthesizing microorganisms that are at the basis of the marine food web and play an important role in Earth’s carbon cycle and climate. A merged, multi-sensor satellite data set and the model scientific code are provided.
Martine Lizotte, Bennet Juhls, Atsushi Matsuoka, Philippe Massicotte, Gaëlle Mével, David Obie James Anikina, Sofia Antonova, Guislain Bécu, Marine Béguin, Simon Bélanger, Thomas Bossé-Demers, Lisa Bröder, Flavienne Bruyant, Gwénaëlle Chaillou, Jérôme Comte, Raoul-Marie Couture, Emmanuel Devred, Gabrièle Deslongchamps, Thibaud Dezutter, Miles Dillon, David Doxaran, Aude Flamand, Frank Fell, Joannie Ferland, Marie-Hélène Forget, Michael Fritz, Thomas J. Gordon, Caroline Guilmette, Andrea Hilborn, Rachel Hussherr, Charlotte Irish, Fabien Joux, Lauren Kipp, Audrey Laberge-Carignan, Hugues Lantuit, Edouard Leymarie, Antonio Mannino, Juliette Maury, Paul Overduin, Laurent Oziel, Colin Stedmon, Crystal Thomas, Lucas Tisserand, Jean-Éric Tremblay, Jorien Vonk, Dustin Whalen, and Marcel Babin
Earth Syst. Sci. Data, 15, 1617–1653, https://doi.org/10.5194/essd-15-1617-2023, https://doi.org/10.5194/essd-15-1617-2023, 2023
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Permafrost thaw in the Mackenzie Delta region results in the release of organic matter into the coastal marine environment. What happens to this carbon-rich organic matter as it transits along the fresh to salty aquatic environments is still underdocumented. Four expeditions were conducted from April to September 2019 in the coastal area of the Beaufort Sea to study the fate of organic matter. This paper describes a rich set of data characterizing the composition and sources of organic matter.
Alexandre Mignot, Hervé Claustre, Gianpiero Cossarini, Fabrizio D'Ortenzio, Elodie Gutknecht, Julien Lamouroux, Paolo Lazzari, Coralie Perruche, Stefano Salon, Raphaëlle Sauzède, Vincent Taillandier, and Anna Teruzzi
Biogeosciences, 20, 1405–1422, https://doi.org/10.5194/bg-20-1405-2023, https://doi.org/10.5194/bg-20-1405-2023, 2023
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Numerical models of ocean biogeochemistry are becoming a major tool to detect and predict the impact of climate change on marine resources and monitor ocean health. Here, we demonstrate the use of the global array of BGC-Argo floats for the assessment of biogeochemical models. We first detail the handling of the BGC-Argo data set for model assessment purposes. We then present 23 assessment metrics to quantify the consistency of BGC model simulations with respect to BGC-Argo data.
Markus A. Min, David M. Needham, Sebastian Sudek, Nathan Kobun Truelove, Kathleen J. Pitz, Gabriela M. Chavez, Camille Poirier, Bente Gardeler, Elisabeth von der Esch, Andrea Ludwig, Ulf Riebesell, Alexandra Z. Worden, and Francisco P. Chavez
Biogeosciences, 20, 1277–1298, https://doi.org/10.5194/bg-20-1277-2023, https://doi.org/10.5194/bg-20-1277-2023, 2023
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Emerging molecular methods provide new ways of understanding how marine communities respond to changes in ocean conditions. Here, environmental DNA was used to track the temporal evolution of biological communities in the Peruvian coastal upwelling system and in an adjacent enclosure where upwelling was simulated. We found that the two communities quickly diverged, with the open ocean being one found during upwelling and the enclosure evolving to one found under stratified conditions.
Andrew M. Sayer, Luca Lelli, Brian Cairns, Bastiaan van Diedenhoven, Amir Ibrahim, Kirk D. Knobelspiesse, Sergey Korkin, and P. Jeremy Werdell
Atmos. Meas. Tech., 16, 969–996, https://doi.org/10.5194/amt-16-969-2023, https://doi.org/10.5194/amt-16-969-2023, 2023
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This paper presents a method to estimate the height of the top of clouds above Earth's surface using satellite measurements. It is based on light absorption by oxygen in Earth's atmosphere, which darkens the signal that a satellite will see at certain wavelengths of light. Clouds "shield" the satellite from some of this darkening, dependent on cloud height (and other factors), because clouds scatter light at these wavelengths. The method will be applied to the future NASA PACE mission.
Ben J. Fisher, Alex J. Poulton, Michael P. Meredith, Kimberlee Baldry, Oscar Schofield, and Sian F. Henley
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-10, https://doi.org/10.5194/bg-2023-10, 2023
Revised manuscript not accepted
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The Southern Ocean is warming faster than the global average. As a globally important carbon sink and nutrient source, climate driven changes in ecosystems can be expected to cause widespread changes to biogeochemical cycles. We analysed earth system models and showed that productivity is expected to increase across the Southern Ocean, driven by different phytoplankton groups at different latitudes. These predictions carry large uncertainties, we propose targeted studies to reduce this error.
Flavienne Bruyant, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Lise Artigue, Lucas Barbedo de Freitas, Guislain Bécu, Simon Bélanger, Pascaline Bourgain, Annick Bricaud, Etienne Brouard, Camille Brunet, Tonya Burgers, Danielle Caleb, Katrine Chalut, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Marine Cusa, Fanny Cusset, Laeticia Dadaglio, Marty Davelaar, Gabrièle Deslongchamps, Céline Dimier, Julie Dinasquet, Dany Dumont, Brent Else, Igor Eulaers, Joannie Ferland, Gabrielle Filteau, Marie-Hélène Forget, Jérome Fort, Louis Fortier, Martí Galí, Morgane Gallinari, Svend-Erik Garbus, Nicole Garcia, Catherine Gérikas Ribeiro, Colline Gombault, Priscilla Gourvil, Clémence Goyens, Cindy Grant, Pierre-Luc Grondin, Pascal Guillot, Sandrine Hillion, Rachel Hussherr, Fabien Joux, Hannah Joy-Warren, Gabriel Joyal, David Kieber, Augustin Lafond, José Lagunas, Patrick Lajeunesse, Catherine Lalande, Jade Larivière, Florence Le Gall, Karine Leblanc, Mathieu Leblanc, Justine Legras, Keith Lévesque, Kate-M. Lewis, Edouard Leymarie, Aude Leynaert, Thomas Linkowski, Martine Lizotte, Adriana Lopes dos Santos, Claudie Marec, Dominique Marie, Guillaume Massé, Philippe Massicotte, Atsushi Matsuoka, Lisa A. Miller, Sharif Mirshak, Nathalie Morata, Brivaela Moriceau, Philippe-Israël Morin, Simon Morisset, Anders Mosbech, Alfonso Mucci, Gabrielle Nadaï, Christian Nozais, Ingrid Obernosterer, Thimoté Paire, Christos Panagiotopoulos, Marie Parenteau, Noémie Pelletier, Marc Picheral, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Llúcia Ribot Lacosta, Jean-François Rontani, Blanche Saint-Béat, Julie Sansoulet, Noé Sardet, Catherine Schmechtig, Antoine Sciandra, Richard Sempéré, Caroline Sévigny, Jordan Toullec, Margot Tragin, Jean-Éric Tremblay, Annie-Pier Trottier, Daniel Vaulot, Anda Vladoiu, Lei Xue, Gustavo Yunda-Guarin, and Marcel Babin
Earth Syst. Sci. Data, 14, 4607–4642, https://doi.org/10.5194/essd-14-4607-2022, https://doi.org/10.5194/essd-14-4607-2022, 2022
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This paper presents a dataset acquired during a research cruise held in Baffin Bay in 2016. We observed that the disappearance of sea ice in the Arctic Ocean increases both the length and spatial extent of the phytoplankton growth season. In the future, this will impact the food webs on which the local populations depend for their food supply and fisheries. This dataset will provide insight into quantifying these impacts and help the decision-making process for policymakers.
Daniel J. Ford, Gavin H. Tilstone, Jamie D. Shutler, and Vassilis Kitidis
Biogeosciences, 19, 4287–4304, https://doi.org/10.5194/bg-19-4287-2022, https://doi.org/10.5194/bg-19-4287-2022, 2022
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This study explores the seasonal, inter-annual, and multi-year drivers of the South Atlantic air–sea CO2 flux. Our analysis showed seasonal sea surface temperatures dominate in the subtropics, and the subpolar regions correlated with biological processes. Inter-annually, the El Niño–Southern Oscillation correlated with the CO2 flux by modifying sea surface temperatures and biological activity. Long-term trends indicated an important biological contribution to changes in the air–sea CO2 flux.
Benjamin R. Loveday, Timothy Smyth, Anıl Akpinar, Tom Hull, Mark E. Inall, Jan Kaiser, Bastien Y. Queste, Matt Tobermann, Charlotte A. J. Williams, and Matthew R. Palmer
Earth Syst. Sci. Data, 14, 3997–4016, https://doi.org/10.5194/essd-14-3997-2022, https://doi.org/10.5194/essd-14-3997-2022, 2022
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Using a new approach to combine autonomous underwater glider data and satellite Earth observations, we have generated a 19-month time series of North Sea net primary productivity – the rate at which phytoplankton absorbs carbon dioxide minus that lost through respiration. This time series, which spans 13 gliders, allows for new investigations into small-scale, high-frequency variability in the biogeochemical processes that underpin the carbon cycle and coastal marine ecosystems in shelf seas.
Liliane Merlivat, Michael Hemming, Jacqueline Boutin, David Antoine, Vincenzo Vellucci, Melek Golbol, Gareth A. Lee, and Laurence Beaumont
Biogeosciences, 19, 3911–3920, https://doi.org/10.5194/bg-19-3911-2022, https://doi.org/10.5194/bg-19-3911-2022, 2022
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We use in situ high-temporal-resolution measurements of dissolved inorganic carbon and atmospheric parameters at the air–sea interface to analyse phytoplankton bloom initiation identified as the net rate of biological carbon uptake in the Mediterranean Sea. The shift from wind-driven to buoyancy-driven mixing creates conditions for blooms to begin. Active mixing at the air–sea interface leads to the onset of the surface phytoplankton bloom due to the relaxation of wind speed following storms.
Meng Gao, Kirk Knobelspiesse, Bryan A. Franz, Peng-Wang Zhai, Andrew M. Sayer, Amir Ibrahim, Brian Cairns, Otto Hasekamp, Yongxiang Hu, Vanderlei Martins, P. Jeremy Werdell, and Xiaoguang Xu
Atmos. Meas. Tech., 15, 4859–4879, https://doi.org/10.5194/amt-15-4859-2022, https://doi.org/10.5194/amt-15-4859-2022, 2022
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In this work, we assessed the pixel-wise retrieval uncertainties on aerosol and ocean color derived from multi-angle polarimetric measurements. Standard error propagation methods are used to compute the uncertainties. A flexible framework is proposed to evaluate how representative these uncertainties are compared with real retrieval errors. Meanwhile, to assist operational data processing, we optimized the computational speed to evaluate the retrieval uncertainties based on neural networks.
James P. J. Ward, Katharine R. Hendry, Sandra Arndt, Johan C. Faust, Felipe S. Freitas, Sian F. Henley, Jeffrey W. Krause, Christian März, Allyson C. Tessin, and Ruth L. Airs
Biogeosciences, 19, 3445–3467, https://doi.org/10.5194/bg-19-3445-2022, https://doi.org/10.5194/bg-19-3445-2022, 2022
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The seafloor plays an important role in the cycling of silicon (Si), a key nutrient that promotes marine primary productivity. In our model study, we disentangle major controls on the seafloor Si cycle to better anticipate the impacts of continued warming and sea ice melt in the Barents Sea. We uncover a coupling of the iron redox and Si cycles, dissolution of lithogenic silicates, and authigenic clay formation, comprising a Si sink that could have implications for the Arctic Ocean Si budget.
Müjdat Aydın and Şükrü Turan Beşiktepe
Ocean Sci., 18, 1081–1091, https://doi.org/10.5194/os-18-1081-2022, https://doi.org/10.5194/os-18-1081-2022, 2022
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This study provides observational evidence and dynamical reasoning for the sub-inertial waves in the Black Sea using a series of sea level data and Black Sea reanalysis products from the Copernicus Marine Environment Monitoring Service. These waves were generated by strong alongshore winds during autumn–winter and caused 10–20 cm of variability in sea level. They accelerated the coastal current and quickly transferred waters from west to east.
Tristan Petit, Børge Hamre, Håkon Sandven, Rüdiger Röttgers, Piotr Kowalczuk, Monika Zablocka, and Mats A. Granskog
Ocean Sci., 18, 455–468, https://doi.org/10.5194/os-18-455-2022, https://doi.org/10.5194/os-18-455-2022, 2022
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We provide the first insights on bio-optical processes in Storfjorden (Svalbard). Information on factors controlling light propagation in the water column in this arctic fjord becomes crucial in times of rapid sea ice decline. We find a significant contribution of dissolved matter to light absorption and a subsurface absorption maximum linked to phytoplankton production. Dense bottom waters from sea ice formation carry elevated levels of dissolved and particulate matter.
Chuanmin Hu
Earth Syst. Sci. Data, 14, 1183–1192, https://doi.org/10.5194/essd-14-1183-2022, https://doi.org/10.5194/essd-14-1183-2022, 2022
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Using data collected by the Hyperspectral Imager for the Coastal Ocean (HICO) between 2010–2014, hyperspectral reflectance of various floating matters in global oceans and lakes is derived for the spectral range of 400–800 nm. Such reflectance spectra are expected to provide spectral endmembers to differentiate and quantify the floating matters from existing multi-band satellite sensors and future hyperspectral satellite missions such as NASA’s PACE, SBG, and GLIMR missions.
Martí Galí, Marcus Falls, Hervé Claustre, Olivier Aumont, and Raffaele Bernardello
Biogeosciences, 19, 1245–1275, https://doi.org/10.5194/bg-19-1245-2022, https://doi.org/10.5194/bg-19-1245-2022, 2022
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Part of the organic matter produced by plankton in the upper ocean is exported to the deep ocean. This process, known as the biological carbon pump, is key for the regulation of atmospheric carbon dioxide and global climate. However, the dynamics of organic particles below the upper ocean layer are not well understood. Here we compared the measurements acquired by autonomous robots in the top 1000 m of the ocean to a numerical model, which can help improve future climate projections.
Marie Barbieux, Julia Uitz, Alexandre Mignot, Collin Roesler, Hervé Claustre, Bernard Gentili, Vincent Taillandier, Fabrizio D'Ortenzio, Hubert Loisel, Antoine Poteau, Edouard Leymarie, Christophe Penkerc'h, Catherine Schmechtig, and Annick Bricaud
Biogeosciences, 19, 1165–1194, https://doi.org/10.5194/bg-19-1165-2022, https://doi.org/10.5194/bg-19-1165-2022, 2022
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This study assesses marine biological production in two Mediterranean systems representative of vast desert-like (oligotrophic) areas encountered in the global ocean. We use a novel approach based on non-intrusive high-frequency in situ measurements by two profiling robots, the BioGeoChemical-Argo (BGC-Argo) floats. Our results indicate substantial yet variable production rates and contribution to the whole water column of the subsurface layer, typically considered steady and non-productive.
M. A. Soppa, D. A. Dinh, B. Silva, F. Steinmetz, L. Alvarado, and A. Bracher
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-1-W1-2021, 69–72, https://doi.org/10.5194/isprs-archives-XLVI-1-W1-2021-69-2022, https://doi.org/10.5194/isprs-archives-XLVI-1-W1-2021-69-2022, 2022
Yanan Zhao, Dennis Booge, Christa A. Marandino, Cathleen Schlundt, Astrid Bracher, Elliot L. Atlas, Jonathan Williams, and Hermann W. Bange
Biogeosciences, 19, 701–714, https://doi.org/10.5194/bg-19-701-2022, https://doi.org/10.5194/bg-19-701-2022, 2022
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We present here, for the first time, simultaneously measured dimethylsulfide (DMS) seawater concentrations and DMS atmospheric mole fractions from the Peruvian upwelling region during two cruises in December 2012 and October 2015. Our results indicate low oceanic DMS concentrations and atmospheric DMS molar fractions in surface waters and the atmosphere, respectively. In addition, the Peruvian upwelling region was identified as an insignificant source of DMS emissions during both periods.
Daniel J. Ford, Gavin H. Tilstone, Jamie D. Shutler, and Vassilis Kitidis
Biogeosciences, 19, 93–115, https://doi.org/10.5194/bg-19-93-2022, https://doi.org/10.5194/bg-19-93-2022, 2022
Short summary
Short summary
This study identifies the most accurate biological proxy for the estimation of seawater pCO2 fields, which are key to assessing the ocean carbon sink. Our analysis shows that the net community production (NCP), the balance between photosynthesis and respiration, was more accurate than chlorophyll a within a neural network scheme. The improved pCO2 estimates, based on NCP, identified the South Atlantic Ocean as a net CO2 source, compared to a CO2 sink using chlorophyll a.
Sebastian Landwehr, Michele Volpi, F. Alexander Haumann, Charlotte M. Robinson, Iris Thurnherr, Valerio Ferracci, Andrea Baccarini, Jenny Thomas, Irina Gorodetskaya, Christian Tatzelt, Silvia Henning, Rob L. Modini, Heather J. Forrer, Yajuan Lin, Nicolas Cassar, Rafel Simó, Christel Hassler, Alireza Moallemi, Sarah E. Fawcett, Neil Harris, Ruth Airs, Marzieh H. Derkani, Alberto Alberello, Alessandro Toffoli, Gang Chen, Pablo Rodríguez-Ros, Marina Zamanillo, Pau Cortés-Greus, Lei Xue, Conor G. Bolas, Katherine C. Leonard, Fernando Perez-Cruz, David Walton, and Julia Schmale
Earth Syst. Dynam., 12, 1295–1369, https://doi.org/10.5194/esd-12-1295-2021, https://doi.org/10.5194/esd-12-1295-2021, 2021
Short summary
Short summary
The Antarctic Circumnavigation Expedition surveyed a large number of variables describing the dynamic state of ocean and atmosphere, freshwater cycle, atmospheric chemistry, ocean biogeochemistry, and microbiology in the Southern Ocean. To reduce the dimensionality of the dataset, we apply a sparse principal component analysis and identify temporal patterns from diurnal to seasonal cycles, as well as geographical gradients and
hotspotsof interaction. Code and data are open access.
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Short summary
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.
A compiled set of in situ data is vital to evaluate the quality of ocean-colour satellite data...
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