Articles | Volume 7, issue 2
https://doi.org/10.5194/essd-7-319-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/essd-7-319-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review article
| 
20 Nov 2015
Review article |
| 20 Nov 2015
CoastColour Round Robin data sets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters
B. Nechad
CORRESPONDING AUTHOR
Operational Directorate Natural Environment, Royal Belgian Institute for Natural Sciences (RBINS/ODNE), 100 Gulledelle Brussels, 1200, Belgium
K. Ruddick
Operational Directorate Natural Environment, Royal Belgian Institute for Natural Sciences (RBINS/ODNE), 100 Gulledelle Brussels, 1200, Belgium
T. Schroeder
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Land and Water, Environmental Earth Observation Program, P.O. Box 2583, Brisbane, QLD 2001, Australia
K. Oubelkheir
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Land and Water, Environmental Earth Observation Program, P.O. Box 2583, Brisbane, QLD 2001, Australia
D. Blondeau-Patissier
Charles Darwin University, 0815 Darwin, Australia
N. Cherukuru
Commonwealth Scientific and Industrial Research Organisation (CSIRO), P.O. Box 1666, Canberra, ACT, Australia
V. Brando
Commonwealth Scientific and Industrial Research Organisation (CSIRO), P.O. Box 1666, Canberra, ACT, Australia
A. Dekker
Commonwealth Scientific and Industrial Research Organisation (CSIRO), P.O. Box 1666, Canberra, ACT, Australia
L. Clementson
Commonwealth Scientific and Industrial Research Organisation (CSIRO), P.O. Box 1666, Canberra, ACT, Australia
A. C. Banks
Hellenic Centre for Marine Research (HCMR), Institute of Oceanography, P.O. Box 2214, Heraklion 71003, Crete, Greece
European Commission – Joint Research Centre (JRC), Institute for Environment and Sustainability, Via Enrico Fermi 2749, Ispra (Va) 21027, Italy
S. Maritorena
Earth Research Institute (ERI), University of California, Santa Barbara, CA 93106-3060, USA
P. J. Werdell
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
C. Sá
Marine and Environmental Sciences Centre (MARE), Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal
V. Brotas
Marine and Environmental Sciences Centre (MARE), Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal
I. Caballero de Frutos
Institute of Marine Sciences of Andalucia (ICMAN-CSIC) Puerto Real-Cádiz, 11519, Spain
Y.-H. Ahn
Korea Ocean Research & Development Institute (KORDI), Ansan, P.O. Box 29, 425–600, South Korea
S. Salama
Faculty of Geo-information Science and Earth Observation (ITC), Department of Water Resource, University of Twente, Hengelosestraat 99, 7500 AA Enschede, the Netherlands
G. Tilstone
Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, UK
V. Martinez-Vicente
Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, UK
D. Foley
National Oceanic and Atmospheric Administration (NOAA), Southwest Fisheries Science Center, 110 Shaffer Road, Santa Cruz, CA 95060, USA
deceased
M. McKibben
College of Earth, Ocean and Atmospheric Sciences (CEOAS), Oregon State University, Corvallis, OR, USA
J. Nahorniak
College of Earth, Ocean and Atmospheric Sciences (CEOAS), Oregon State University, Corvallis, OR, USA
T. Peterson
Center for Coastal Margin Observation and Prediction and Institute of Environmental Health, Oregon Health and Science University, 3181 SW Sam, Jackson Park Road, Portland, Oregon 97239, USA
A. Siliò-Calzada
Environmental Hydraulics Institute of the University of Cantabria, Cantabria, Spain
R. Röttgers
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Centre for Materials and Coastal Research, Max-Plank-Str. 1, 21502 Geesthacht, Germany
Z. Lee
School for the Environment, University of Massachusetts Boston, Boston, MA 02125, USA
M. Peters
Brockmann Consult, Max-Planck-Str. 2, 21502 Geesthacht, Germany
C. Brockmann
Brockmann Consult, Max-Planck-Str. 2, 21502 Geesthacht, Germany
Related authors
Els Knaeps, David Doxaran, Ana Dogliotti, Bouchra Nechad, Kevin Ruddick, Dries Raymaekers, and Sindy Sterckx
Earth Syst. Sci. Data, 10, 1439–1449, https://doi.org/10.5194/essd-10-1439-2018, https://doi.org/10.5194/essd-10-1439-2018, 2018
Short summary
Short summary
The SeaSWIR dataset consists of 137 ASD marine reflectances, 137 total suspended matter (TSM) measurements and 97 turbidity measurements gathered at three turbid estuarine sites (Gironde, La Plata, Scheldt). The dataset is valuable because of the high-quality measurements of the marine reflectance in the Short Wave InfraRed I region (SWIR-I: 1000–1200 nm) and SWIR-II (1200–1300 nm) and because of the wide range of TSM concentrations from 48 mg L−1 up to 1400 mg L−1.
Jaime Pitarch and Vittorio Ernesto Brando
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-295, https://doi.org/10.5194/essd-2024-295, 2024
Revised manuscript under review for ESSD
Short summary
Short summary
This research presents a comprehensive synthetic dataset in the optical domain, created thanks to a large mining of available bio-optical data. Utilizing the Hydrolight radiative transfer model, the dataset provides detailed light fields from ultraviolet to visible light, aiding in the development of satellite algorithms. The dataset will significantly enhance research on light behavior in water and supporting future hyperspectral missions. It has been made publicly available on Zenodo.
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 Discuss., https://doi.org/10.5194/essd-2024-267, https://doi.org/10.5194/essd-2024-267, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
We present a compilation of water optical properties and phytoplankton pigments from the surface of the Atlantic Ocean collected during nine cruises between 2009–2019. 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 the other pigments. The dataset will be useful to researchers in ocean optics, remote-sensing, ecology, and biogeochemistry.
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
Rogier van der Velde, Harm-Jan F. Benninga, Bas Retsios, Paul C. Vermunt, and M. Suhyb Salama
Earth Syst. Sci. Data, 15, 1889–1910, https://doi.org/10.5194/essd-15-1889-2023, https://doi.org/10.5194/essd-15-1889-2023, 2023
Short summary
Short summary
From 2009, a network of 20 profile soil moisture and temperature monitoring stations has been operational in the Twente region, east of the Netherlands. In addition, field campaigns have been conducted covering four growing seasons during which soil moisture was measured near 12 monitoring stations. We describe the monitoring network and field campaigns, and we provide an overview of open third-party datasets that may support the use of the Twente datasets.
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
Short summary
Short summary
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.
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
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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.
Meng Gao, Bryan A. Franz, Kirk Knobelspiesse, Peng-Wang Zhai, Vanderlei Martins, Sharon Burton, Brian Cairns, Richard Ferrare, Joel Gales, Otto Hasekamp, Yongxiang Hu, Amir Ibrahim, Brent McBride, Anin Puthukkudy, P. Jeremy Werdell, and Xiaoguang Xu
Atmos. Meas. Tech., 14, 4083–4110, https://doi.org/10.5194/amt-14-4083-2021, https://doi.org/10.5194/amt-14-4083-2021, 2021
Short summary
Short summary
Multi-angle polarimetric measurements can retrieve accurate aerosol properties over complex atmosphere and ocean systems; however, most retrieval algorithms require high computational costs. We propose a deep neural network (NN) forward model to represent the radiative transfer simulation of coupled atmosphere and ocean systems and then conduct simultaneous aerosol and ocean color retrievals on AirHARP measurements. The computational acceleration is 103 times with CPU or 104 times with GPU.
Meng Gao, Peng-Wang Zhai, Bryan A. Franz, Kirk Knobelspiesse, Amir Ibrahim, Brian Cairns, Susanne E. Craig, Guangliang Fu, Otto Hasekamp, Yongxiang Hu, and P. Jeremy Werdell
Atmos. Meas. Tech., 13, 3939–3956, https://doi.org/10.5194/amt-13-3939-2020, https://doi.org/10.5194/amt-13-3939-2020, 2020
Christina Schallenberg, Robert F. Strzepek, Nina Schuback, Lesley A. Clementson, Philip W. Boyd, and Thomas W. Trull
Biogeosciences, 17, 793–812, https://doi.org/10.5194/bg-17-793-2020, https://doi.org/10.5194/bg-17-793-2020, 2020
Short summary
Short summary
Measurements of phytoplankton health still require the use of research vessels and are thus costly and sparse. In this paper we propose a new way to assess the health of phytoplankton using simple fluorescence measurements, which can be made autonomously. In the Southern Ocean, where the most limiting nutrient for phytoplankton is iron, we found a relationship between iron limitation and the depression of fluorescence under high light, the so-called non-photochemical quenching of fluorescence.
Meng Gao, Peng-Wang Zhai, Bryan A. Franz, Yongxiang Hu, Kirk Knobelspiesse, P. Jeremy Werdell, Amir Ibrahim, Brian Cairns, and Alison Chase
Atmos. Meas. Tech., 12, 3921–3941, https://doi.org/10.5194/amt-12-3921-2019, https://doi.org/10.5194/amt-12-3921-2019, 2019
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Malcolm Taberner, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Elisabetta Canuti, Francisco Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Richard Gould, Stanford B. Hooker, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Hubert Loisel, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Frank Muller-Karger, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Simon Wright, and Giuseppe Zibordi
Earth Syst. Sci. Data, 11, 1037–1068, https://doi.org/10.5194/essd-11-1037-2019, https://doi.org/10.5194/essd-11-1037-2019, 2019
Short summary
Short summary
A compiled set of in situ data is useful to evaluate the quality of ocean-colour satellite data records. Here we describe the compilation of global bio-optical in situ data (spanning from 1997 to 2018) 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.
Els Knaeps, David Doxaran, Ana Dogliotti, Bouchra Nechad, Kevin Ruddick, Dries Raymaekers, and Sindy Sterckx
Earth Syst. Sci. Data, 10, 1439–1449, https://doi.org/10.5194/essd-10-1439-2018, https://doi.org/10.5194/essd-10-1439-2018, 2018
Short summary
Short summary
The SeaSWIR dataset consists of 137 ASD marine reflectances, 137 total suspended matter (TSM) measurements and 97 turbidity measurements gathered at three turbid estuarine sites (Gironde, La Plata, Scheldt). The dataset is valuable because of the high-quality measurements of the marine reflectance in the Short Wave InfraRed I region (SWIR-I: 1000–1200 nm) and SWIR-II (1200–1300 nm) and because of the wide range of TSM concentrations from 48 mg L−1 up to 1400 mg L−1.
Heather A. Bouman, Trevor Platt, Martina Doblin, Francisco G. Figueiras, Kristinn Gudmundsson, Hafsteinn G. Gudfinnsson, Bangqin Huang, Anna Hickman, Michael Hiscock, Thomas Jackson, Vivian A. Lutz, Frédéric Mélin, Francisco Rey, Pierre Pepin, Valeria Segura, Gavin H. Tilstone, Virginie van Dongen-Vogels, and Shubha Sathyendranath
Earth Syst. Sci. Data, 10, 251–266, https://doi.org/10.5194/essd-10-251-2018, https://doi.org/10.5194/essd-10-251-2018, 2018
Short summary
Short summary
The photosynthetic response of marine phytoplankton to available irradiance is a central part of satellite-based models of ocean productivity. This study brings together data from a variety of oceanographic campaigns to examine how the parameters of photosynthesis–irradiance response curves vary over the global ocean. This global synthesis reveals biogeographic, latitudinal and depth-dependent patterns in the photosynthetic properties of natural phytoplankton assemblages.
Sandro Carniel, Judith Wolf, Vittorio E. Brando, and Lakshmi H. Kantha
Ocean Sci., 13, 495–501, https://doi.org/10.5194/os-13-495-2017, https://doi.org/10.5194/os-13-495-2017, 2017
Burkard Baschek, Friedhelm Schroeder, Holger Brix, Rolf Riethmüller, Thomas H. Badewien, Gisbert Breitbach, Bernd Brügge, Franciscus Colijn, Roland Doerffer, Christiane Eschenbach, Jana Friedrich, Philipp Fischer, Stefan Garthe, Jochen Horstmann, Hajo Krasemann, Katja Metfies, Lucas Merckelbach, Nino Ohle, Wilhelm Petersen, Daniel Pröfrock, Rüdiger Röttgers, Michael Schlüter, Jan Schulz, Johannes Schulz-Stellenfleth, Emil Stanev, Joanna Staneva, Christian Winter, Kai Wirtz, Jochen Wollschläger, Oliver Zielinski, and Friedwart Ziemer
Ocean Sci., 13, 379–410, https://doi.org/10.5194/os-13-379-2017, https://doi.org/10.5194/os-13-379-2017, 2017
Short summary
Short summary
The Coastal Observing System for Northern and Arctic Seas (COSYNA) was established in order to better understand the complex interdisciplinary processes of northern seas and the Arctic coasts in a changing environment. Particular focus is given to the heavily used German Bight in the North Sea. The automated observing and modelling system is designed to monitor real-time conditions, to provide short-term forecasts and data products, and to assess the impact of anthropogenically induced change.
Emlyn M. Jones, Mark E. Baird, Mathieu Mongin, John Parslow, Jenny Skerratt, Jenny Lovell, Nugzar Margvelashvili, Richard J. Matear, Karen Wild-Allen, Barbara Robson, Farhan Rizwi, Peter Oke, Edward King, Thomas Schroeder, Andy Steven, and John Taylor
Biogeosciences, 13, 6441–6469, https://doi.org/10.5194/bg-13-6441-2016, https://doi.org/10.5194/bg-13-6441-2016, 2016
Short summary
Short summary
Marine biogeochemical models are often used to understand water quality, nutrient and blue-carbon dynamics at scales that range from estuaries and bays, through to the global ocean. We introduce a new methodology allowing for the assimilation of observed remote sensing reflectances, avoiding the need to use empirically derived chlorophyll-a concentrations. This method opens up the possibility to assimilate of reflectances from a variety of missions and potentially non-satellite platforms.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Malcolm Taberner, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Vittorio Brando, Elisabetta Canuti, Francisco Chavez, Hervé Claustre, Richard Crout, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Richard Gould, Stanford Hooker, Mati Kahru, Holger Klein, Susanne Kratzer, Hubert Loisel, David McKee, Brian G. Mitchell, Tiffany Moisan, Frank Muller-Karger, Leonie O'Dowd, Michael Ondrusek, Alex J. Poulton, Michel Repecaud, Timothy Smyth, Heidi M. Sosik, Michael Twardowski, Kenneth Voss, Jeremy Werdell, Marcel Wernand, and Giuseppe Zibordi
Earth Syst. Sci. Data, 8, 235–252, https://doi.org/10.5194/essd-8-235-2016, https://doi.org/10.5194/essd-8-235-2016, 2016
Short summary
Short summary
A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite data records. Here we describe the compilation of global bio-optical in situ data (spanning from 1997 to 2012) 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.
J. Gloël, C. Robinson, G. H. Tilstone, G. Tarran, and J. Kaiser
Ocean Sci., 11, 947–952, https://doi.org/10.5194/os-11-947-2015, https://doi.org/10.5194/os-11-947-2015, 2015
Short summary
Short summary
We assess benzalkonium chloride (BAC) as alternative to mercuric chloride (HgCl2) for preservation of seawater samples. BAC concentrations of 50mg dm–3 inhibited microbial activity for at least 3 days in samples tested with chlorophyll a concentrations up to 1mg m–3. With fewer risks to health and environment, and lower waste disposal costs, BAC could be a short-term alternative to HgCl2, but cannot replace it for oxygen triple isotope samples, which require storage over weeks to months.
V. E. Brando, F. Braga, L. Zaggia, C. Giardino, M. Bresciani, E. Matta, D. Bellafiore, C. Ferrarin, F. Maicu, A. Benetazzo, D. Bonaldo, F. M. Falcieri, A. Coluccelli, A. Russo, and S. Carniel
Ocean Sci., 11, 909–920, https://doi.org/10.5194/os-11-909-2015, https://doi.org/10.5194/os-11-909-2015, 2015
Short summary
Short summary
Sea surface temperature and turbidity, derived from satellite imagery, were used to characterize river plumes in the northern Adriatic Sea during a significant flood event in November 2014. Circulation patterns and sea surface salinity, from an operational coupled ocean-wave model, supported the interpretation of the plumes' interaction with the receiving waters and among them.
B. Poulter, N. MacBean, A. Hartley, I. Khlystova, O. Arino, R. Betts, S. Bontemps, M. Boettcher, C. Brockmann, P. Defourny, S. Hagemann, M. Herold, G. Kirches, C. Lamarche, D. Lederer, C. Ottlé, M. Peters, and P. Peylin
Geosci. Model Dev., 8, 2315–2328, https://doi.org/10.5194/gmd-8-2315-2015, https://doi.org/10.5194/gmd-8-2315-2015, 2015
Short summary
Short summary
Land cover is an essential variable in earth system models and determines conditions driving biogeochemical, energy and water exchange between ecosystems and the atmosphere. A methodology is presented for mapping plant functional types used in global vegetation models from a updated land cover classification system and open-source conversion tool, resulting from a consultative process among map producers and modelers engaged in the European Space Agency’s Land Cover Climate Change Initiative.
A. Bracher, M. H. Taylor, B. Taylor, T. Dinter, R. Röttgers, and F. Steinmetz
Ocean Sci., 11, 139–158, https://doi.org/10.5194/os-11-139-2015, https://doi.org/10.5194/os-11-139-2015, 2015
Short summary
Short summary
We have developed a method to assess pigment concentrations from continuous optical measurements by applying an empirical orthogonal function analysis to remote-sensing reflectance data derived from hyperspectral ship-based and multispectral satellite measurements in the Atlantic Ocean. The method allows for the derivation of time series from continuous reflectance data of various pigment groups at various regions, which can be used to study phytoplankton composition and photophysiology.
J. M. Beltrán-Abaunza, S. Kratzer, and C. Brockmann
Ocean Sci., 10, 377–396, https://doi.org/10.5194/os-10-377-2014, https://doi.org/10.5194/os-10-377-2014, 2014
H. Örek, R. Doerffer, R. Röttgers, M. Boersma, and K. H. Wiltshire
Biogeosciences, 10, 7081–7094, https://doi.org/10.5194/bg-10-7081-2013, https://doi.org/10.5194/bg-10-7081-2013, 2013
Y. Huang, M. S. Salama, M. S. Krol, R. van der Velde, A. Y. Hoekstra, Y. Zhou, and Z. Su
Hydrol. Earth Syst. Sci., 17, 1985–2000, https://doi.org/10.5194/hess-17-1985-2013, https://doi.org/10.5194/hess-17-1985-2013, 2013
Related subject area
Biological oceanography
AIGD-PFT: the first AI-driven global daily gap-free 4 km phytoplankton functional type data product from 1998 to 2023
Early-life dispersal traits of coastal fishes: an extensive database combining observations and growth models
An update of data compilation on the biological response to ocean acidification and overview of the OA-ICC data portal
A compilation of surface inherent optical properties and phytoplankton pigment concentrations from the Atlantic Meridional Transect
First release of the Pelagic Size Structure database: global datasets of marine size spectra obtained from plankton imaging devices
Global biogeography of N2-fixing microbes: nifH amplicon database and analytics workflow
Metazoan zooplankton in the Bay of Biscay: a 16-year record of individual sizes and abundances obtained using the ZooScan and ZooCAM imaging systems
PANABIO: a point-referenced PAN-Arctic data collection of benthic BIOtas
Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae
The Western Channel Observatory: a century of physical, chemical and biological data compiled from pelagic and benthic habitats in the western English Channel
A global daily gap-filled chlorophyll-a dataset in open oceans during 2001–2021 from multisource information using convolutional neural networks
A new global oceanic multi-model net primary productivity data product
MAREL Carnot data and metadata from the Coriolis data center
Bio-optical properties of the cyanobacterium Nodularia spumigena
An atlas of seabed biodiversity for Aotearoa New Zealand
A synthetic optical database generated by radiative transfer simulations in support of studies in ocean optics and optical remote sensing of the global ocean
The Coastal Surveillance Through Observation of Ocean Color (COASTℓOOC) dataset
HIPPO environmental monitoring: impact of phytoplankton dynamics on water column chemistry and the sclerochronology of the king scallop (Pecten maximus) as a biogenic archive for past primary production reconstructions
AlgaeTraits: a trait database for (European) seaweeds
How to learn more about hydrological conditions and phytoplankton dynamics and diversity in the eastern English Channel and the Southern Bight of the North Sea: the Suivi Régional des Nutriments data set (1992–2021)
Deepwater red shrimp fishery in the eastern–central Mediterranean Sea: AIS-observed monthly fishing effort and frequency over 4 years
Global dataset on seagrass meadow structure, biomass and production
The Green Edge cruise: investigating the marginal ice zone processes during late spring and early summer to understand the fate of the Arctic phytoplankton bloom
A global marine particle size distribution dataset obtained with the Underwater Vision Profiler 5
Application of a new net primary production methodology: a daily to annual-scale data set for the North Sea, derived from autonomous underwater gliders and satellite Earth observation
The COSMUS expedition: seafloor images and acoustic bathymetric data from the PS124 expedition to the southern Weddell Sea, Antarctica
Primary productivity measurements in the Ross Sea, Antarctica: a regional synthesis
Patos Lagoon estuary and adjacent marine coastal biodiversity long-term data
Weight-to-weight conversion factors for benthic macrofauna: recent measurements from the Baltic and the North seas
The Plankton Lifeform Extraction Tool: a digital tool to increase the discoverability and usability of plankton time-series data
Collection and analysis of a global marine phytoplankton primary-production dataset
The ADRIREEF database: a comprehensive collection of natural/artificial reefs and wrecks in the Adriatic Sea
Diets of the Barents Sea cod (Gadus morhua) from the 1930s to 2018
A global viral oceanography database (gVOD)
PhytoBase: A global synthesis of open-ocean phytoplankton occurrences
A long-term (1965–2015) ecological marine database from the LTER-Italy Northern Adriatic Sea site: plankton and oceanographic observations
An interactive atlas for marine biodiversity conservation in the Coral Triangle
A synthetic satellite dataset of the spatio-temporal distributions of Emiliania huxleyi blooms and their impacts on Arctic and sub-Arctic marine environments (1998–2016)
A 40-year global data set of visible-channel remote-sensing reflectances and coccolithophore bloom occurrence derived from the Advanced Very High Resolution Radiometer catalogue
Photosynthesis–irradiance parameters of marine phytoplankton: synthesis of a global data set
Two databases derived from BGC-Argo float measurements for marine biogeochemical and bio-optical applications
KRILLBASE: a circumpolar database of Antarctic krill and salp numerical densities, 1926–2016
A trait database for marine copepods
Global ocean particulate organic carbon flux merged with satellite parameters
A compilation of global bio-optical in situ data for ocean-colour satellite applications
Data compilation on the biological response to ocean acidification: an update
Vertical distribution of chlorophyll a concentration and phytoplankton community composition from in situ fluorescence profiles: a first database for the global ocean
Biogeography of key mesozooplankton species in the North Atlantic and egg production of Calanus finmarchicus
Biogeography of jellyfish in the North Atlantic, by traditional and genomic methods
A metadata template for ocean acidification data
Yuan Zhang, Fang Shen, Renhu Li, Mengyu Li, Zhaoxin Li, Songyu Chen, and Xuerong Sun
Earth Syst. Sci. Data, 16, 4793–4816, https://doi.org/10.5194/essd-16-4793-2024, https://doi.org/10.5194/essd-16-4793-2024, 2024
Short summary
Short summary
This work describes AIGD-PFT, the first AI-driven global daily gap-free 4 km phytoplankton functional type (PFT) product from 1998 to 2023. AIGD-PFT enhances the accuracy and spatiotemporal coverage quantification of eight major PFTs (i.e. diatoms, dinoflagellates, haptophytes, pelagophytes, cryptophytes, green algae, prokaryotes, and Prochlorococcus).
Marine Di Stefano, David Nerini, Itziar Alvarez, Giandomenico Ardizzone, Patrick Astruch, Gotzon Basterretxea, Aurélie Blanfuné, Denis Bonhomme, Antonio Calò, Ignacio Catalan, Carlo Cattano, Adrien Cheminée, Romain Crec'hriou, Amalia Cuadros, Antonio Di Franco, Carlos Diaz-Gil, Tristan Estaque, Robin Faillettaz, Fabiana C. Félix-Hackradt, José Antonio Garcia-Charton, Paolo Guidetti, Loïc Guilloux, Jean-Georges Harmelin, Mireille Harmelin-Vivien, Manuel Hidalgo, Hilmar Hinz, Jean-Olivier Irisson, Gabriele La Mesa, Laurence Le Diréach, Philippe Lenfant, Enrique Macpherson, Sanja Matić-Skoko, Manon Mercader, Marco Milazzo, Tiffany Monfort, Joan Moranta, Manuel Muntoni, Matteo Murenu, Lucie Nunez, M. Pilar Olivar, Jérémy Pastor, Ángel Pérez-Ruzafa, Serge Planes, Nuria Raventos, Justine Richaume, Elodie Rouanet, Erwan Roussel, Sandrine Ruitton, Ana Sabatés, Thierry Thibaut, Daniele Ventura, Laurent Vigliola, Dario Vrdoljak, and Vincent Rossi
Earth Syst. Sci. Data, 16, 3851–3871, https://doi.org/10.5194/essd-16-3851-2024, https://doi.org/10.5194/essd-16-3851-2024, 2024
Short summary
Short summary
We build a compilation of early-life dispersal traits for coastal fish species. The database contains over 110 000 entries collected from 1993 to 2021 in the western Mediterranean. All observations are harmonized to provide information on dates and locations of spawning and settlement, along with pelagic larval durations. When applicable, missing data are reconstructed from dynamic energy budget theory. Statistical analyses reveal sampling biases across taxa, space and time.
Yan Yang, Patrick Brockmann, Carolina Galdino, Uwe Schindler, and Frédéric Gazeau
Earth Syst. Sci. Data, 16, 3771–3780, https://doi.org/10.5194/essd-16-3771-2024, https://doi.org/10.5194/essd-16-3771-2024, 2024
Short summary
Short summary
Studies investigating the effects of ocean acidification on marine organisms and communities have been steadily increasing. To facilitate data comparison, a data compilation hosted by the PANGAEA Data Publisher was initiated in 2008 and is updated on a regular basis. By November 2023, a total of 1501 datasets (~25 million data points) from 1554 papers have been archived. To filter and access relevant biological response data from this compilation, a user-friendly portal was launched in 2018.
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 Discuss., https://doi.org/10.5194/essd-2024-267, https://doi.org/10.5194/essd-2024-267, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
We present a compilation of water optical properties and phytoplankton pigments from the surface of the Atlantic Ocean collected during nine cruises between 2009–2019. 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 the other pigments. The dataset will be useful to researchers in ocean optics, remote-sensing, ecology, and biogeochemistry.
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
Short summary
Short summary
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).
Michael Morando, Jonathan Magasin, Shunyan Cheung, Matthew M. Mills, Jonathan P. Zehr, and Kendra A. Turk-Kubo
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-163, https://doi.org/10.5194/essd-2024-163, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
Nitrogen is crucial in ocean food webs, but only some microbes can fix N2 gas into a bioavailable form. Most are known only by their nifH gene sequence. We created a software workflow for nifH data and ran it on 865 ocean samples, producing a database that captures the global diversity of N2-fixing marine microbes and the environmental factors that influence them. The workflow and DB can standardize analyses on past and future nifH datasets to enable insights into marine microbial communities.
Nina Grandremy, Paul Bourriau, Edwin Daché, Marie-Madeleine Danielou, Mathieu Doray, Christine Dupuy, Bertrand Forest, Laetitia Jalabert, Martin Huret, Sophie Le Mestre, Antoine Nowaczyk, Pierre Petitgas, Philippe Pineau, Justin Rouxel, Morgan Tardivel, and Jean-Baptiste Romagnan
Earth Syst. Sci. Data, 16, 1265–1282, https://doi.org/10.5194/essd-16-1265-2024, https://doi.org/10.5194/essd-16-1265-2024, 2024
Short summary
Short summary
We present two space- and time-resolved zooplankton datasets originating from samples collected in the Bay of Biscay in spring over the 2004–2019 period and imaged with the interoperable imaging systems ZooScan and ZooCAM. These datasets are suited for long-term size-based or combined size- and taxonomy-based ecological studies of zooplankton. The set of sorted images are provided along with a set of morphological descriptors that are useful when machine learning is applied to plankton studies.
Dieter Piepenburg, Thomas Brey, Katharina Teschke, Jennifer Dannheim, Paul Kloss, Marianne Rehage, Miriam L. S. Hansen, and Casper Kraan
Earth Syst. Sci. Data, 16, 1177–1184, https://doi.org/10.5194/essd-16-1177-2024, https://doi.org/10.5194/essd-16-1177-2024, 2024
Short summary
Short summary
Research on ecological footprints of climate change and human impacts in Arctic seas is still hampered by problems in accessing sound data, which is unevenly distributed among regions and faunal groups. To address this issue, we present the PAN-Arctic data collection of benthic BIOtas (PANABIO). It provides open access to valuable biodiversity information by integrating data from various sources and of various formats and offers versatile exploration tools for data filtering and mapping.
Nicolas Schiffrine, Fatma Dhifallah, Kaven Dionne, Michel Poulin, Sylvie Lessard, André Rochon, and Michel Gosselin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-19, https://doi.org/10.5194/essd-2024-19, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
Growing concern arises in the Arctic Ocean as toxic/harmful phytoplankton emerges due to climate change. The potential surge in these occurrences threatens both human health and the Arctic ecosystem. Our ongoing research yields insights into spatial patterns and biodiversity, challenging the belief that the Arctic is unsuitable for toxic/harmful algal events. This work underscores the need to comprehend and address the ecological impact of these emerging species in the Arctic environment.
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
Short summary
Short summary
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.
Zhongkun Hong, Di Long, Xingdong Li, Yiming Wang, Jianmin Zhang, Mohamed A. Hamouda, and Mohamed M. Mohamed
Earth Syst. Sci. Data, 15, 5281–5300, https://doi.org/10.5194/essd-15-5281-2023, https://doi.org/10.5194/essd-15-5281-2023, 2023
Short summary
Short summary
Changes in ocean chlorophyll-a (Chl-a) concentration are related to ecosystem balance. Here, we present high-quality gap-filled Chl-a data in open oceans, reflecting the distribution and changes in global Chl-a concentration. Our findings highlight the efficacy of reconstructing missing satellite observations using convolutional neural networks. This dataset and model are valuable for research in ocean color remote sensing, offering data support and methodological references for related studies.
Thomas J. Ryan-Keogh, Sandy J. Thomalla, Nicolette Chang, and Tumelo Moalusi
Earth Syst. Sci. Data, 15, 4829–4848, https://doi.org/10.5194/essd-15-4829-2023, https://doi.org/10.5194/essd-15-4829-2023, 2023
Short summary
Short summary
Oceanic productivity has been highlighted as an important environmental indicator of climate change in comparison to other existing metrics. However, the availability of these data to assess trends and trajectories is plagued with issues, such as application to only a single satellite reducing the time period for assessment. We have applied multiple algorithms to the longest ocean colour record to provide a record for assessing climate-change-driven trends.
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
Short summary
Short summary
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.
Shungudzemwoyo P. Garaba, Michelle Albinus, Guido Bonthond, Sabine Flöder, Mario L. M. Miranda, Sven Rohde, Joanne Y. L. Yong, and Jochen Wollschläger
Earth Syst. Sci. Data, 15, 4163–4179, https://doi.org/10.5194/essd-15-4163-2023, https://doi.org/10.5194/essd-15-4163-2023, 2023
Short summary
Short summary
These high-quality data document a harmful algal bloom dominated by Nodularia spumigena, a cyanobacterium that has been recurring in waters around the world, using advanced water observation technologies. We also showcase the benefits of experiments of opportunity and the issues with obtaining synoptic spatio-temporal data for monitoring water quality. The dataset can be leveraged to gain more knowledge on related blooms, develop detection algorithms and optimize future monitoring efforts.
Fabrice Stephenson, Tom Brough, Drew Lohrer, Daniel Leduc, Shane Geange, Owen Anderson, David Bowden, Malcolm R. Clark, Niki Davey, Enrique Pardo, Dennis P. Gordon, Brittany Finucci, Michelle Kelly, Diana Macpherson, Lisa McCartain, Sadie Mills, Kate Neill, Wendy Nelson, Rachael Peart, Matthew H. Pinkerton, Geoffrey B. Read, Jodie Robertson, Ashley Rowden, Kareen Schnabel, Andrew Stewart, Carl Struthers, Leigh Tait, Di Tracey, Shaun Weston, and Carolyn Lundquist
Earth Syst. Sci. Data, 15, 3931–3939, https://doi.org/10.5194/essd-15-3931-2023, https://doi.org/10.5194/essd-15-3931-2023, 2023
Short summary
Short summary
Understanding the distribution of species that live at the seafloor is critical to the management of the marine environment but is lacking in many areas. Here, we showcase an atlas of seafloor biodiversity that describes the distribution of approximately 600 organisms throughout New Zealand’s vast marine realm. Each layer in the open-access atlas has been evaluated by leading experts and provides a key resource for the sustainable use of New Zealand's marine environment.
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
Short summary
Short summary
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.
Philippe Massicotte, Marcel Babin, Frank Fell, Vincent Fournier-Sicre, and David Doxaran
Earth Syst. Sci. Data, 15, 3529–3545, https://doi.org/10.5194/essd-15-3529-2023, https://doi.org/10.5194/essd-15-3529-2023, 2023
Short summary
Short summary
The COASTlOOC oceanographic expeditions in 1997 and 1998 studied the relationship between seawater properties and biology and chemistry across the European coasts. The team collected data from 379 stations using ships and helicopters to support the development of ocean color remote-sensing algorithms. This unique and consistent dataset is still used today by researchers.
Valentin Siebert, Brivaëla Moriceau, Lukas Fröhlich, Bernd R. Schöne, Erwan Amice, Beatriz Beker, Kevin Bihannic, Isabelle Bihannic, Gaspard Delebecq, Jérémy Devesa, Morgane Gallinari, Yoan Germain, Émilie Grossteffan, Klaus Peter Jochum, Thierry Le Bec, Manon Le Goff, Céline Liorzou, Aude Leynaert, Claudie Marec, Marc Picheral, Peggy Rimmelin-Maury, Marie-Laure Rouget, Matthieu Waeles, and Julien Thébault
Earth Syst. Sci. Data, 15, 3263–3281, https://doi.org/10.5194/essd-15-3263-2023, https://doi.org/10.5194/essd-15-3263-2023, 2023
Short summary
Short summary
This article presents an overview of the results of biological, chemical and physical parameters measured at high temporal resolution (sampling once and twice per week) during environmental monitoring that took place in 2021 in the Bay of Brest. We strongly believe that this dataset could be very useful for other scientists performing sclerochronological investigations, studying biogeochemical cycles or conducting various ecological research projects.
Sofie Vranken, Marine Robuchon, Stefanie Dekeyzer, Ignacio Bárbara, Inka Bartsch, Aurélie Blanfuné, Charles-François Boudouresque, Wim Decock, Christophe Destombe, Bruno de Reviers, Pilar Díaz-Tapia, Anne Herbst, Romain Julliard, Rolf Karez, Priit Kersen, Stacy A. Krueger-Hadfield, Ralph Kuhlenkamp, Akira F. Peters, Viviana Peña, Cristina Piñeiro-Corbeira, Fabio Rindi, Florence Rousseau, Jan Rueness, Hendrik Schubert, Kjersti Sjøtun, Marta Sansón, Dan Smale, Thierry Thibaut, Myriam Valero, Leen Vandepitte, Bart Vanhoorne, Alba Vergés, Marc Verlaque, Christophe Vieira, Line Le Gall, Frederik Leliaert, and Olivier De Clerck
Earth Syst. Sci. Data, 15, 2711–2754, https://doi.org/10.5194/essd-15-2711-2023, https://doi.org/10.5194/essd-15-2711-2023, 2023
Short summary
Short summary
We present AlgaeTraits, a high-quality seaweed trait database. The data are structured within the framework of WoRMS and are supported by an expert editor community. With 45 175 trait records for 21 prioritised biological and ecological traits, and a taxonomic coverage of 1 745 European species, AlgaeTraits significantly advances previous efforts to provide standardised seaweed trait data. AlgaeTraits will serve as a foundation for future research on diversity and evolution of seaweeds.
Alain Lefebvre and David Devreker
Earth Syst. Sci. Data, 15, 1077–1092, https://doi.org/10.5194/essd-15-1077-2023, https://doi.org/10.5194/essd-15-1077-2023, 2023
Short summary
Short summary
The Suivi Regional des Nutriments (SRN) data set includes long-term time series on marine phytoplankton and physicochemical measures in the eastern English Channel and the Southern Bight of the North Sea. These data sets should be useful for comparing contrasted coastal marine ecosystems to further knowledge about the direct and indirect effects of human pressures and environmental changes on ecosystem structure and function, including eutrophication and harmful algal bloom issues.
Jacopo Pulcinella, Enrico Nicola Armelloni, Carmen Ferrà, Giuseppe Scarcella, and Anna Nora Tassetti
Earth Syst. Sci. Data, 15, 809–820, https://doi.org/10.5194/essd-15-809-2023, https://doi.org/10.5194/essd-15-809-2023, 2023
Short summary
Short summary
Deep-sea fishery in the Mediterranean Sea was historically driven by the commercial profitability of deepwater red shrimps. Understanding spatiotemporal dynamics of fishing is key to comprehensively evaluate the status of these resources and prevent stock collapse. The observed monthly fishing effort and frequency dataset released by the automatic identification system (AIS) may help researchers as well as those involved in fishery management and in the update of existing management plans.
Simone Strydom, Roisin McCallum, Anna Lafratta, Chanelle L. Webster, Caitlyn M. O'Dea, Nicole E. Said, Natasha Dunham, Karina Inostroza, Cristian Salinas, Samuel Billinghurst, Charlie M. Phelps, Connor Campbell, Connor Gorham, Rachele Bernasconi, Anna M. Frouws, Axel Werner, Federico Vitelli, Viena Puigcorbé, Alexandra D'Cruz, Kathryn M. McMahon, Jack Robinson, Megan J. Huggett, Sian McNamara, Glenn A. Hyndes, and Oscar Serrano
Earth Syst. Sci. Data, 15, 511–519, https://doi.org/10.5194/essd-15-511-2023, https://doi.org/10.5194/essd-15-511-2023, 2023
Short summary
Short summary
Seagrasses are important underwater plants that provide valuable ecosystem services to humans, including mitigating climate change. Understanding the natural history of seagrass meadows across different types of environments is crucial to conserving seagrasses in the global ocean. This dataset contains data extracted from peer-reviewed publications and highlights which seagrasses have been studied and in which locations and is useful for pointing out which need further investigation.
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
Short summary
Short summary
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.
Rainer Kiko, Marc Picheral, David Antoine, Marcel Babin, Léo Berline, Tristan Biard, Emmanuel Boss, Peter Brandt, Francois Carlotti, Svenja Christiansen, Laurent Coppola, Leandro de la Cruz, Emilie Diamond-Riquier, Xavier Durrieu de Madron, Amanda Elineau, Gabriel Gorsky, Lionel Guidi, Helena Hauss, Jean-Olivier Irisson, Lee Karp-Boss, Johannes Karstensen, Dong-gyun Kim, Rachel M. Lekanoff, Fabien Lombard, Rubens M. Lopes, Claudie Marec, Andrew M. P. McDonnell, Daniela Niemeyer, Margaux Noyon, Stephanie H. O'Daly, Mark D. Ohman, Jessica L. Pretty, Andreas Rogge, Sarah Searson, Masashi Shibata, Yuji Tanaka, Toste Tanhua, Jan Taucher, Emilia Trudnowska, Jessica S. Turner, Anya Waite, and Lars Stemmann
Earth Syst. Sci. Data, 14, 4315–4337, https://doi.org/10.5194/essd-14-4315-2022, https://doi.org/10.5194/essd-14-4315-2022, 2022
Short summary
Short summary
The term
marine particlescomprises detrital aggregates; fecal pellets; bacterioplankton, phytoplankton and zooplankton; and even fish. Here, we present a global dataset that contains 8805 vertical particle size distribution profiles obtained with Underwater Vision Profiler 5 (UVP5) camera systems. These data are valuable to the scientific community, as they can be used to constrain important biogeochemical processes in the ocean, such as the flux of carbon to the deep sea.
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
Short summary
Short summary
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.
Autun Purser, Laura Hehemann, Lilian Boehringer, Ellen Werner, Santiago E. A. Pineda-Metz, Lucie Vignes, Axel Nordhausen, Moritz Holtappels, and Frank Wenzhoefer
Earth Syst. Sci. Data, 14, 3635–3648, https://doi.org/10.5194/essd-14-3635-2022, https://doi.org/10.5194/essd-14-3635-2022, 2022
Short summary
Short summary
Within this paper we present the seafloor images, maps and acoustic camera data collected by a towed underwater research platform deployed in 20 locations across the eastern Weddell Sea, Antarctica, during the PS124 COSMUS expedition with the research icebreaker RV Polarstern in 2021. The 20 deployments highlight the great variability in seafloor structure and faunal communities present. Of key interest was the discovery of the largest fish nesting colony discovered globally to date.
Walker O. Smith Jr.
Earth Syst. Sci. Data, 14, 2737–2747, https://doi.org/10.5194/essd-14-2737-2022, https://doi.org/10.5194/essd-14-2737-2022, 2022
Short summary
Short summary
The rate of photosynthesis of marine phytoplankton – primary productivity – is typically measured by quantifying the rate of radioisotope incorporation. However, generally such measurements are not collected by one individual through time and so are difficult to compare due to methodological differences. A data set compiled by one investigator over more than 20 years in the Ross Sea demonstrates the importance of the region as a "hot spot" for growth and synthesis.
Valéria M. Lemos, Marianna Lanari, Margareth Copertino, Eduardo R. Secchi, Paulo Cesar O. V. de Abreu, José H. Muelbert, Alexandre M. Garcia, Felipe C. Dumont, Erik Muxagata, João P. Vieira, André Colling, and Clarisse Odebrecht
Earth Syst. Sci. Data, 14, 1015–1041, https://doi.org/10.5194/essd-14-1015-2022, https://doi.org/10.5194/essd-14-1015-2022, 2022
Short summary
Short summary
The Patos Lagoon estuary and adjacent marine coast (PLEA) has been a site of the Brazilian Long-Term Ecological Research (LTER) program since 1998. LTER-PLEA contributes information about the biota composition, distribution and abundance, and estuarine ecological processes. The LTER-PLEA database (8 datasets containing 6972 sampling events and records of 275 species) represents one of the most robust and longest databases of biological diversity in an estuarine coastal system of South America.
Mayya Gogina, Anja Zettler, and Michael L. Zettler
Earth Syst. Sci. Data, 14, 1–4, https://doi.org/10.5194/essd-14-1-2022, https://doi.org/10.5194/essd-14-1-2022, 2022
Short summary
Short summary
For the first time we publish a taxonomically detailed and robust dataset of biomass conversion factors for macro-zoobenthos, often required in many studies. Georeferenced raw data for 497 taxa empower the user to make the best selections for combining them with their own data, and aggregation can help to quantify natural variability and uncertainty and refine current ecological theory. Standardised measurements were done on material collected for over 2 decades in the Baltic and the North seas.
Clare Ostle, Kevin Paxman, Carolyn A. Graves, Mathew Arnold, Luis Felipe Artigas, Angus Atkinson, Anaïs Aubert, Malcolm Baptie, Beth Bear, Jacob Bedford, Michael Best, Eileen Bresnan, Rachel Brittain, Derek Broughton, Alexandre Budria, Kathryn Cook, Michelle Devlin, George Graham, Nick Halliday, Pierre Hélaouët, Marie Johansen, David G. Johns, Dan Lear, Margarita Machairopoulou, April McKinney, Adam Mellor, Alex Milligan, Sophie Pitois, Isabelle Rombouts, Cordula Scherer, Paul Tett, Claire Widdicombe, and Abigail McQuatters-Gollop
Earth Syst. Sci. Data, 13, 5617–5642, https://doi.org/10.5194/essd-13-5617-2021, https://doi.org/10.5194/essd-13-5617-2021, 2021
Short summary
Short summary
Plankton form the base of the marine food web and are sensitive indicators of environmental change. The Plankton Lifeform Extraction Tool brings together disparate plankton datasets into a central database from which it extracts abundance time series of plankton functional groups, called
lifeforms, according to shared biological traits. This tool has been designed to make complex plankton datasets accessible and meaningful for policy, public interest, and scientific discovery.
Francesco Mattei and Michele Scardi
Earth Syst. Sci. Data, 13, 4967–4985, https://doi.org/10.5194/essd-13-4967-2021, https://doi.org/10.5194/essd-13-4967-2021, 2021
Short summary
Short summary
Data paucity hinders the understanding of natural processes such as phytoplankton production. Several studies stressed how the lack of data is the main constraint for modeling phytoplankton production. We created a global and ready-to-use dataset regarding phytoplankton production, collecting and processing data from several sources. We performed a general data analysis from a numerical and an ecological perspective. This dataset will help enhance the understanding of phytoplankton production.
Annalisa Minelli, Carmen Ferrà, Alessandra Spagnolo, Martina Scanu, Anna Nora Tassetti, Carla Rita Ferrari, Cristina Mazziotti, Silvia Pigozzi, Zrinka Jakl, Tena Šarčević, Miranda Šimac, Claudia Kruschel, Dubravko Pejdo, Enrico Barbone, Michele De Gioia, Diego Borme, Emiliano Gordini, Rocco Auriemma, Ivo Benzon, Đeni Vuković-Stanišić, Sandi Orlić, Vlado Frančić, Damir Zec, Ivana Orlić Kapović, Michela Soldati, Silvia Ulazzi, and Gianna Fabi
Earth Syst. Sci. Data, 13, 1905–1923, https://doi.org/10.5194/essd-13-1905-2021, https://doi.org/10.5194/essd-13-1905-2021, 2021
Short summary
Short summary
This data paper describes a dataset of natural and artificial reefs and wrecks in the Adriatic Sea collected, from a survey, in the frame of the ADRIREEF Interreg project. Information about the identification of the reef and its physical characteristics, surrounding area, and management actions/facilities has been collected in order to create a very detailed dataset, which has been harmonized and published in the SEANOE repository (https://doi.org/10.17882/74880).
Bryony L. Townhill, Rebecca E. Holt, Bjarte Bogstad, Joël M. Durant, John K. Pinnegar, Andrey V. Dolgov, Natalia A. Yaragina, Edda Johannesen, and Geir Ottersen
Earth Syst. Sci. Data, 13, 1361–1370, https://doi.org/10.5194/essd-13-1361-2021, https://doi.org/10.5194/essd-13-1361-2021, 2021
Short summary
Short summary
A dataset on the diet of Atlantic cod in the Barents Sea from the 1930s to 2018 has been compiled to produce one of the largest fish diet datasets available globally. A top predator, cod plays a key role in the food web. The data from Norway, the United Kingdom and Russia include data from 2.5 million fish. Diets have changed considerably from the start of the dataset in the 1930s. This dataset helps us understand how the environment and ecosystems are responding to a changing climate.
Le Xie, Wei Wei, Lanlan Cai, Xiaowei Chen, Yuhong Huang, Nianzhi Jiao, Rui Zhang, and Ya-Wei Luo
Earth Syst. Sci. Data, 13, 1251–1271, https://doi.org/10.5194/essd-13-1251-2021, https://doi.org/10.5194/essd-13-1251-2021, 2021
Short summary
Short summary
Viruses play key roles in marine ecosystems by killing their hosts, maintaining diversity and recycling nutrients. In the global viral oceanography database (gVOD), 10 931 viral abundance data and 727 viral production data, along with host and other oceanographic parameters, were compiled. It identified viral data were undersampled in the southeast Pacific and Indian oceans. The gVOD can be used in marine viral ecology investigation and modeling of marine ecosystems and biogeochemical cycles.
Damiano Righetti, Meike Vogt, Niklaus E. Zimmermann, Michael D. Guiry, and Nicolas Gruber
Earth Syst. Sci. Data, 12, 907–933, https://doi.org/10.5194/essd-12-907-2020, https://doi.org/10.5194/essd-12-907-2020, 2020
Short summary
Short summary
Phytoplankton sustain marine life, as they are the principal primary producers in the global ocean. Despite their ecological importance, their distribution and diversity patterns are poorly known, mostly due to data limitations. We present a global dataset that synthesizes over 1.3 million occurrences of phytoplankton from public archives. It is easily extendable. This dataset can be used to characterize phytoplankton distribution and diversity in current and future oceans.
Francesco Acri, Mauro Bastianini, Fabrizio Bernardi Aubry, Elisa Camatti, Alfredo Boldrin, Caterina Bergami, Daniele Cassin, Amelia De Lazzari, Stefania Finotto, Annalisa Minelli, Alessandro Oggioni, Marco Pansera, Alessandro Sarretta, Giorgio Socal, and Alessandra Pugnetti
Earth Syst. Sci. Data, 12, 215–230, https://doi.org/10.5194/essd-12-215-2020, https://doi.org/10.5194/essd-12-215-2020, 2020
Short summary
Short summary
The present paper describes a database containing observations for 21 parameters of abiotic, phytoplankton, and zooplankton data collected in the northern Adriatic Sea region (Italy) from 1965 to 2015. Due to the long temporal coverage, the majority of parameters changed collection and analysis method over time. These variations are reported in the database and detailed in the paper.
Irawan Asaad, Carolyn J. Lundquist, Mark V. Erdmann, and Mark J. Costello
Earth Syst. Sci. Data, 11, 163–174, https://doi.org/10.5194/essd-11-163-2019, https://doi.org/10.5194/essd-11-163-2019, 2019
Short summary
Short summary
This atlas is a compendium of geospatial online and open-access data describing biodiversity conservation in the Coral Triangle of the Indo-Pacific biogeographic realm. It consists of three sets of interlinked digital maps: (1) biodiversity features; (2) areas of importance for biodiversity conservation; and (3) recommended priorities for Marine Protected Area (MPA) Network Expansion. These maps provide the most comprehensive biodiversity datasets available to date for the region.
Dmitry Kondrik, Eduard Kazakov, and Dmitry Pozdnyakov
Earth Syst. Sci. Data, 11, 119–128, https://doi.org/10.5194/essd-11-119-2019, https://doi.org/10.5194/essd-11-119-2019, 2019
Short summary
Short summary
This paper presents a description of the original database of blooms of the calcifying phytoplankton in sub-Arctic and Arctic seas, their spatio-temporal features and associated environmental influences. This type of phytoplankton is efficient in decreasing the ability of the ocean to intake external carbon dioxide and hence amplifies the greenhouse effect. The published database can be used by a large community of users involved in studies of both aquatic ecology and carbon cycles.
Benjamin Roger Loveday and Timothy Smyth
Earth Syst. Sci. Data, 10, 2043–2054, https://doi.org/10.5194/essd-10-2043-2018, https://doi.org/10.5194/essd-10-2043-2018, 2018
Short summary
Short summary
A 40-year data set of ocean reflectance is derived from an atmospherically corrected climate quality record of top-of-atmosphere signals taken from the satellite-based AVHRR sensor. The data set provides a unique view of visible changes in the global ocean over timescales where climatic effects are demonstrable and spans coverage gaps left by more traditional satellite ocean colour sensors. It is particularly relevant to monitoring bright plankton blooms, such as coccolithophores.
Heather A. Bouman, Trevor Platt, Martina Doblin, Francisco G. Figueiras, Kristinn Gudmundsson, Hafsteinn G. Gudfinnsson, Bangqin Huang, Anna Hickman, Michael Hiscock, Thomas Jackson, Vivian A. Lutz, Frédéric Mélin, Francisco Rey, Pierre Pepin, Valeria Segura, Gavin H. Tilstone, Virginie van Dongen-Vogels, and Shubha Sathyendranath
Earth Syst. Sci. Data, 10, 251–266, https://doi.org/10.5194/essd-10-251-2018, https://doi.org/10.5194/essd-10-251-2018, 2018
Short summary
Short summary
The photosynthetic response of marine phytoplankton to available irradiance is a central part of satellite-based models of ocean productivity. This study brings together data from a variety of oceanographic campaigns to examine how the parameters of photosynthesis–irradiance response curves vary over the global ocean. This global synthesis reveals biogeographic, latitudinal and depth-dependent patterns in the photosynthetic properties of natural phytoplankton assemblages.
Emanuele Organelli, Marie Barbieux, Hervé Claustre, Catherine Schmechtig, Antoine Poteau, Annick Bricaud, Emmanuel Boss, Nathan Briggs, Giorgio Dall'Olmo, Fabrizio D'Ortenzio, Edouard Leymarie, Antoine Mangin, Grigor Obolensky, Christophe Penkerc'h, Louis Prieur, Collin Roesler, Romain Serra, Julia Uitz, and Xiaogang Xing
Earth Syst. Sci. Data, 9, 861–880, https://doi.org/10.5194/essd-9-861-2017, https://doi.org/10.5194/essd-9-861-2017, 2017
Short summary
Short summary
Autonomous robotic platforms such as Biogeochemical-Argo floats allow observation of the ocean, from the surface to the interior, in a new and systematic way. A fleet of 105 of these platforms have collected several biological, biogeochemical, and optical variables in still unexplored regions. The quality-controlled databases presented here will enable scientists to improve knowledge on the functioning of marine ecosystems and investigate the climatic implications.
Angus Atkinson, Simeon L. Hill, Evgeny A. Pakhomov, Volker Siegel, Ricardo Anadon, Sanae Chiba, Kendra L. Daly, Rod Downie, Sophie Fielding, Peter Fretwell, Laura Gerrish, Graham W. Hosie, Mark J. Jessopp, So Kawaguchi, Bjørn A. Krafft, Valerie Loeb, Jun Nishikawa, Helen J. Peat, Christian S. Reiss, Robin M. Ross, Langdon B. Quetin, Katrin Schmidt, Deborah K. Steinberg, Roshni C. Subramaniam, Geraint A. Tarling, and Peter Ward
Earth Syst. Sci. Data, 9, 193–210, https://doi.org/10.5194/essd-9-193-2017, https://doi.org/10.5194/essd-9-193-2017, 2017
Short summary
Short summary
KRILLBASE is a data rescue and compilation project to improve the availability of information on two key Southern Ocean zooplankton: Antarctic krill and salps. We provide a circumpolar database that combines 15 194 scientific net hauls (1926 to 2016) from 10 countries. These data provide a resource for analysing the distribution and abundance of krill and salps throughout the Southern Ocean to support ecological and biogeochemical research as well as fisheries management and conservation.
Philipp Brun, Mark R. Payne, and Thomas Kiørboe
Earth Syst. Sci. Data, 9, 99–113, https://doi.org/10.5194/essd-9-99-2017, https://doi.org/10.5194/essd-9-99-2017, 2017
Short summary
Short summary
We compiled data to understand the organization of marine zooplankton based on their fundamental traits, such as body size or growth rate, rather than based on species names. Zooplankton, and in particular the dominant crustacean copepods, are central to marine food webs and the carbon cycle. The data include 14 traits and thousands of copepod species and may be used for comparisons between species or communities and ultimately to inspire better large-scale models of planktonic ecosystems.
Colleen B. Mouw, Audrey Barnett, Galen A. McKinley, Lucas Gloege, and Darren Pilcher
Earth Syst. Sci. Data, 8, 531–541, https://doi.org/10.5194/essd-8-531-2016, https://doi.org/10.5194/essd-8-531-2016, 2016
Short summary
Short summary
Particulate organic carbon (POC) flux estimated from POC concentration observations from sediment traps and 234Th are compiled across the global ocean. By providing merged coincident satellite imagery products, the dataset can be used to link phytoplankton surface process with POC flux. Due to rapid remineralization within the first 500 m of the water column, shallow observations from 234Th supplement the more extensive sediment trap record.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Malcolm Taberner, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Vittorio Brando, Elisabetta Canuti, Francisco Chavez, Hervé Claustre, Richard Crout, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Richard Gould, Stanford Hooker, Mati Kahru, Holger Klein, Susanne Kratzer, Hubert Loisel, David McKee, Brian G. Mitchell, Tiffany Moisan, Frank Muller-Karger, Leonie O'Dowd, Michael Ondrusek, Alex J. Poulton, Michel Repecaud, Timothy Smyth, Heidi M. Sosik, Michael Twardowski, Kenneth Voss, Jeremy Werdell, Marcel Wernand, and Giuseppe Zibordi
Earth Syst. Sci. Data, 8, 235–252, https://doi.org/10.5194/essd-8-235-2016, https://doi.org/10.5194/essd-8-235-2016, 2016
Short summary
Short summary
A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite data records. Here we describe the compilation of global bio-optical in situ data (spanning from 1997 to 2012) 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.
Y. Yang, L. Hansson, and J.-P. Gattuso
Earth Syst. Sci. Data, 8, 79–87, https://doi.org/10.5194/essd-8-79-2016, https://doi.org/10.5194/essd-8-79-2016, 2016
Short summary
Short summary
The exponential growth of studies on the biological response to ocean acidification over the last few decades has generated a large amount of data. To facilitate data comparison, a data compilation was initiated in 2008 and is updated on a regular basis. By January 2015, a total of 581 data sets (over 4,000,000 data points) from 539 papers had been archived.
R. Sauzède, H. Lavigne, H. Claustre, J. Uitz, C. Schmechtig, F. D'Ortenzio, C. Guinet, and S. Pesant
Earth Syst. Sci. Data, 7, 261–273, https://doi.org/10.5194/essd-7-261-2015, https://doi.org/10.5194/essd-7-261-2015, 2015
W. Melle, J. A. Runge, E. Head, S. Plourde, C. Castellani, P. Licandro, J. Pierson, S. H. Jónasdóttir, C. Johnson, C. Broms, H. Debes, T. Falkenhaug, E. Gaard, A. Gislason, M. R. Heath, B. Niehoff, T. G. Nielsen, P. Pepin, E. K. Stenevik, and G. Chust
Earth Syst. Sci. Data, 7, 223–230, https://doi.org/10.5194/essd-7-223-2015, https://doi.org/10.5194/essd-7-223-2015, 2015
P. Licandro, M. Blackett, A. Fischer, A. Hosia, J. Kennedy, R. R. Kirby, K. Raab, R. Stern, and P. Tranter
Earth Syst. Sci. Data, 7, 173–191, https://doi.org/10.5194/essd-7-173-2015, https://doi.org/10.5194/essd-7-173-2015, 2015
L.-Q. Jiang, S. A. O'Connor, K. M. Arzayus, and A. R. Parsons
Earth Syst. Sci. Data, 7, 117–125, https://doi.org/10.5194/essd-7-117-2015, https://doi.org/10.5194/essd-7-117-2015, 2015
Short summary
Short summary
With the rapid expansion of studies on biological responses of organisms to OA, the lack of a common metadata template to document the resulting data poses a significant hindrance to effective OA data management efforts. In this paper, we present a metadata template that can be applied to a broad spectrum of OA studies, including those studying the biological responses of organisms to OA. This paper defines best practices for documenting ocean acidification (OA) data.
Cited articles
Albert, A. and Mobley, C. D.: An analytical model for subsurface irradiance and remote sensing reflectance in deep and shallow Case 2 waters, Opt. Express, 11, 2873–2890, 2003.
Antoine, D., Siegel, D. A., Kostadinov, T. S., Maritorena, S., Nelson, N. B., Gentili, B., Vellucci, V., and Guillecheau, N.: Variability of optical particle backscattering in contrasting bio-optical oceanic regimes, Limnol. Oceanogr., 56, 3, 955–973, https://doi.org/10.4319/lo.2011.56.3.0955, 2011.
Arar, E. J. and Collins, G. B.: Method 445.0 – In vitro determination of chlorophyll a and pheophytin a in marine and freshwater algae by fluorescence, National Exposure Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Cincinnati, Ohio, USA, 1992.
Babin, M., Morel, A., Fournier-Sicre, V., Fell, F., and Stramski, D.: Light scattering properties of marine particles in coastal and open ocean waters as related to the particle mass concentration, Limnol. Oceanogr., 28, 843–859, 2003a.
Babin, M., Stramski, D., Ferrari, G. M., Claustre, H., Bricaud, A., Obolensky, G., and Hoepffner, N.: Variations in the light absorption coefficients of phytoplankton, nonalgal particles and dissolved organic matter in coastal waters around Europe, J. Geophys. Res., 108, 3211, https://doi.org/10.1029/2001JC000882, 2003b.
Barale, V., Jaquet, J.-M., and Ndiayé, M.: Algal blooming patterns and anomalies in the Mediterranean Sea as derived from the SeaWiFS data set (1998–2003), Remote Sens. Environ., 112, 3300–3313, 2008.
Barlow, R. G., Cummings, D. G., and Gibb, S. W.: Improved resolution of mono and divinyl chlorophylls a and and zeaxanthin and lutein in phytoplankton extracts using reverse phase C-8 HPLC, Mar. Ecol.-Prog. Ser., 161, 303–307, 1997.
Blondeau-Patissier, D., Brando, V. E., Oubelkheir, K., Dekker, A. G., Clementson, L. A., and Daniel, P.: Bio-optical variability of the absorption and scattering properties of the Queensland inshore and reef waters, Australia, J. Geophys. Res.-Oceans, 114, C5, https://doi.org/10.1029/2008JC005039, 2009.
Bouvet, M. and Ramoino, F.: Equalization of MERIS L1b products from the 2nd reprocessing, European Space Agency, Technical Report TEC-EEP/2009.521/MB, Issue 1, Revision 3, 08/12/2009, 77 p., published by ESTEC, Noordwijk, the Netherlands, 2010.
Brewin, R. J. W., Sathyendranath, S., Mueller, D., Brockmann, C., Deschamps, P.-Y., Devred, E., Doerffer, R., Fomferra, N., Franz, B., Grant, M., Groom, S., Horseman, A., Hu, C., Krasemann, H., Lee, Z., Maritorena, S., Mélin, F., Peters, M., Platt, T., Regner, P., Smyth, T., Steinmetz, F., Swinton, J., Werdell, J., and White, G. N.: The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms, Rem. Sens. Environ., 162, 271–294, 2015.
Bricaud, A., Morel, A., Babin, M., Allali, K., and Claustre, H.: Variations of light absorption by suspended particles with chlorophyll a concentration in oceanic (Case 1) waters: Analysis and implications for bio-optical models, J. Geophys. Res., 103, 31033–31044, 1998.
Brodie, J., De'ath, G., Devlin, M., Furnas, M. J., and Wright, M.: Spatial and temporal patterns of near surface chlorophyll a in the Great Barrier Reef lagoon, Mar. Freshwater Res., 58, 342–353, 2007.
Buitenhuis, E. T., Vogt, M., Moriarty, R., Bednaršek, N., Doney, S. C., Leblanc, K., Le Quéré, C., Luo, Y.-W., O'Brien, C., O'Brien, T., Peloquin, J., Schiebel, R., and Swan, C.: MAREDAT: towards a world atlas of MARine Ecosystem DATa, Earth Syst. Sci. Data, 5, 227–239, https://doi.org/10.5194/essd-5-227-2013, 2013.
Chavez, F. P., Pennington, J. T., Castro, C. G., Ryan, J. P., Michisaki, R. P., Schlining, B., Walz, P., Buck, K. R., McFadyen, A., and Collins, C. A.: Biological and chemical consequences of the 1997–1998 El Niño in central California waters, Prog. Oceanogr., 54, 205–232, https://doi.org/10.1016/S0079-6611(02)00050-2, 2002.
Cherukuru, N., Brando, V. E., Schroeder, T., Clementson, L. A., and Dekker, A. G.: Influence of river discharge and ocean currents on coastal optical properties, Cont. Shelf Res., 84, 188–203, 2014.
Clesceri, L. S., Greenberg, A. E., and Eaton, A. D.: Standard methods for the examination of water and wastewater, 20th edition, American Public Health Association, 1325 pp., Washington D.C., 1998.
Doerffer, R.: Protocols for the validation of MERIS water products, ESA/GKSS Doc. No. PO-TN-MEL-GS-0043, 46 p., available as Appendix at: http://envisat.esa.int/workshops/mavt_2003, MERIS protocols, Issue 1.3.5, 2002.
Doerffer, R.: Alternative Atmospheric Correction Procedure for Case 2 Water Remote Sensing using MERIS, 2011.
Doerffer, R. and Schönfeld, W.: Validation transect between Cuxhaven and Helgoland: GKSS Technical Note, 18 February 2009, Helmholtz-Centrum Geesthacht, Geesthacht, 2009.
Dolan, J. R., Claustre, H., Carlotti, F., Plounevez, S., and Moutin, T.: Microzooplankton diversity: relationships of tintinnid ciliates with resources, competitors and predators from the Atlantic Coast of Morocco to the Eastern Mediterranean, Deep-Sea Res. Pt. I, 49, 1217–1232, 2002.
Freudenthal, T., Meggers, H., Henderiks, J., Kuhlmann, H., Moreno, A., and Wefer, G.: Upwelling intensity and filament activity off Morocco during the last 250,000 years, Deep-Sea Res. Pt. II, 49, 3655–3674, 2002.
Gohin, F.: Annual cycles of chlorophyll a, non-algal suspended particulate matter, and turbidity observed from space and in-situ in coastal waters, Ocean Sci., 7, 705–732, https://doi.org/10.5194/os-7-705-2011, 2011.
Groom, S. B., Herut, B., Brenner, S., Zodiatis, G., Psarra, S., Kress, N., Krom, M. D., Law, C. S., and Dracopoulos, P.: Satellite-derived spatial and temporal biological variability in the Cyprus Eddy, Deep-Sea Res. Pt. II, 52, 2990–3010, 2005.
Groom, S. B., Martinez-Vicente, V., Fishwick, J. R., Tilstone, G., Moore, G., Smyth, T. J., and Harbour, D.: The Western English Channel observatory: Optical characteristics of station 4, J. Marine Syst., 77, 278–295, 2009.
Guillocheau, N.: β-Correction Experiment Report, ICESS, University of California, Santa Barbara, CA, USA, 2003.
Harrison, A. W. and Coombes, C. A.: An opaque cloud cover model of sky short wavelength radiance, Sol. Energy, 41, 387–392, 1988.
Holm-Hansen, O., Lorenzen, C. J., Holmes, R. W., and Strickland, J. D. H.: Fluorometric determination of chlorophyll, Journal du Conseil Permanent International pour l'Exploration de la Mer, 30, 33–15, 1965.
Hooker, S. B., Van Heukelem, L., Thomas, C. S., Claustre, H., Ras, J., Barlow, R. G., Sessions, H., L., S., Perl, J., Trees, C. C., Stuart, V., Head, E., Clementson, L. A., Fishwick, J. R., Llewellyn, C., and Aiken, J.: The Second SeaWiFS HPLC Analysis Round-Robin Experiment (SeaHARRE-2), NASA Aeronautics and Space Information, Goddard Space Flight Center, Greenbelt, Maryland, USA, 2005.
IOCCG: Remote Sensing of Inherent Optical Properties: Fundamentals, Tests of Algorithms, and Applications, edited by: Lee, Z.-P., Reports of the International Ocean-Colour Coordinating Group, No. 5, IOCCG, Dartmouth, Canada, pp. 126, 2006.
IOC/UNESCO: Protocols for Joint Global Ocean Carbon Flux Study (JGOFS) Core Measurements, Paris, 1994.
Karageorgis, A. P., Georgopoulos, D., Kanellopoulos, T. D., Mikkelsen, O. A., Pagou, K., Kontoyiannis, H., Pavlidou, A., and Anagnostou, C.: Spatial and seasonal variability of particulate matter optical and size properties in the Eastern Mediterranean Sea, J. Marine Syst., 105–108, 123–134, 2012.
Kostadinov, T. S., Siegel, D. A., Maritorena, S., and Guillocheau, N.: Ocean color observations and modeling for an optically complex site: Santa Barbara Channel, California, USA, J. Geophys. Res., 112, C07011, https://doi.org/10.1029/2006JC003526, 2007.
Llewellyn, C. A., Fishwick, J. R., and Blackford, J. C.: Phytoplankton community assemblage in the English Channel: a comparison using chlorophyll a derived from HPLC-CHEMTAX and carbon derived from microscopy cell counts, J. Plankton Res., 27, 103–119, 2005.
Loisel, H. and Morel, A.: Light scattering and chlorophyll concentration in Case 1 waters: a re-examination., Limnol. Oceanogr. (Methods), 43, 847–857, 1998.
Loisel, H., Vantrepotte, V., Norkvist, K., Mériaux, X., Kheireddine, M., Ras, J., Pujo-Pay, M., Combet, Y., Leblanc, K., Dall'Olmo, G., Mauriac, R., Dessailly, D., and Moutin, T.: Characterization of the bio-optical anomaly and diurnal variability of particulate matter, as seen from scattering and backscattering coefficients, in ultra-oligotrophic eddies of the Mediterranean Sea, Biogeosciences, 8, 3295–3317, https://doi.org/10.5194/bg-8-3295-2011, 2011.
Maffione, R. A. and Dana, D. R.: Instruments and methods for measuring the backward-scattering coefficient of ocean waters, Appl. Optics, 36, 6057–6067, 1997.
Maritorena, S., Lee, Z.-P., Du, K.-P., Loisel, H., Doerffer, R., Roesler, C., Tanaka, A., Babin, M., and Kopelevich, O. V.: Syntheric and in situ data sets for algorithm testing. Remote Sensing of Inherent Optical Properties: Fundamentals, Tests of Algorithms, and Applications, IOCCG, Dartmouth, Canada, 73–79, 20065, 13–18, 2006.
Martinez-Vicente, V., Land, P. E., Tilstone, G. H., Widdicombe, C., and Fishwick, J. R.: Particulate scattering and backscattering related to water constituents and seasonal changes in the Western English Channel, J. Plankton Res., 32, 603–619, 2010.
Mobley, C. D.: Light and water: radiative transfer in natural waters, Academic Press, London, UK, 1994.
Mobley, C. D.: Estimation of the remote sensing reflectance from above-surface measurements, Appl. Optics, 38, 7442-7455, 1999.
Mobley, C. D. and Sundman, L. K.: HYDROLIGHT 5/ECOLIGHT 5 Technical Documentation, Sequoia Scientific, Inc., 2700 Richards Road, Suite 107, Bellevue, WA 98005, 2008.
Morel, A. and Prieur, L.: Analysis of variations in ocean color, Limnol. Oceanogr., 22, 709–722, 1977.
Morel, A., Antoine, D., and Gentili, B.: Bidirectional reflectance of oceanic waters: accounting for Raman emission and varying particle scattering phase function, Appl. Optics, 41, 6289–6306, 2002.
O'Brien, C. J., Peloquin, J. A., Vogt, M., Heinle, M., Gruber, N., Ajani, P., Andruleit, H., Arístegui, J., Beaufort, L., Estrada, M., Karentz, D., Kopczyńska, E., Lee, R., Poulton, A. J., Pritchard, T., and Widdicombe, C.: Global marine plankton functional type biomass distributions: coccolithophores, Earth Syst. Sci. Data, 5, 259–276, https://doi.org/10.5194/essd-5-259-2013, 2013.
Odermatt, D., Gitelson, A. A., Brando, V. E., and Schaepman, M.: Review of constituent retrieval in optically deep and complex waters from satellite imagery, Remote Sens. Environ., 118, 116–126, 2012.
O'Reilly, J. E., Maritorena, S., Mitchell, B. G., Siegel, D. A., Carder, K. L., Garver, S. A., Kahru, M., and McClain, C. R.: Ocean color chlorophyll algorithms for SeaWiFS, J. Geophys. Res., 103, 24937–24953, 1998.
Oubelkheir, K., Claustre, H., Sciandra, A., and Babin, M.: Bio-optical and biogeochemical properties of different trophic regimes in oceanic waters, Limnol. Oceanogr., 50, 1795–1809, 2005.
Oubelkheir, K., Clementson, L. A., Webster, I., Ford, P., Dekker, A. G., Radke, L., and Daniel, P.: Using inherent optical properties to investigate biogeochemical dynamics in a tropical macrotidal coastal system, J. Geophys. Res.-Oceans, 111, C7, https://doi.org/10.1029/2005JC003113, 2006.
Parsons, T. R., Maita, Y., and Lalli, C. M.: A manual of Chemical and Biological Methods for seawater Analysis, Pergamon Press, New York, USA, 173 pp., 1984.
Pegau, W. S., Zaneveld, J. R. V., Mitchell, B. G., Mueller, J. L., Kahru, M., Wieland, J., and Stramska, M.: Inherent Optical Properties: Instruments, Characterizations, Field Measurements and Data Analysis Protocols, volume IV, in: Ocean Optics Protocols for Satellite Ocean Color Sensor Validation, Revision 4, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA, 76 pp., 2003.
Pitcher, G. C. and Probyn, T. A.: Anoxia in southern Benguela during the autumn of 2009 and its linkage to a bloom of the dinoflagellate Ceratium balechii, Harmful Algae, 11, 23–32, 2011.
Probyn, T. A.: Nitrogen uptake by size-fractionated phytoplankton populations in the southern Benguela upwelling system, Mar. Ecol.-Prog. Ser., 22, 249–258, 1985.
Ruddick, K., Brockmann, C., Doerffer, R., Lee, Z., Brotas, V., Fomfera, N., Groom, S. B., Krasemann, H., Martinez-Vicente, V., Sá, C., Santer, R., Sathyendranath, S., Stelzer, K., and Pinnock, S.: The CoastColour project regional algorithm round robin exercise, in: Remote Sensing of the Coastal Ocean, Land and Atmosphere Environment, SPIE, Incheon, Republic of Korea, 7858–7807, 2010.
Ruddick, K. G., De Cauwer, V., Park, Y., and Moore, G.: Seaborne measurements of near infrared water-leaving reflectance – the similarity spectrum for turbid waters, Limnol. Oceanogr., 51, 1167–1179, 2006.
Schaffelke, B., Carleton, J., Skuza, M., Zagorskis, I., and Furnas, M. J.: Water quality in the inshore Great Barrier Reef lagoon: Implications for long-term monitoring and management, Mar. Pollut. Bull., 65, 249–260, 2012.
Strickland, J. D. H. and Parsons, T. R.: A practical handbook of the sea water analysis, Fisheries Research Board of Canada, Ottawa, Bulletin 167, 311 p., 1972.
Tassan, S. and Ferrari, G. M.: An alternative approach to absorption measurements of aquatic particles retained on filters, Limnol. Oceanogr., 40, 1358–1368, 1995.
Tilstone, G., Moore, G., Sorensen, K., Doerffer, R., Rottgers, R., Ruddick, K. G., Pasterkamp, R., and Jorgensen, P. V.: Regional Validation of MERIS Chlorophyll products in North Sea coastal waters: REVAMP protocols, ENVISAT validation workshop European Space Agency, available as Appendix at: https://earth.esa.int/workshops/mavt_2003/, Frascatti, Italy, 20–24 October 2003.
Tilstone, G., Peters, S., van Der Woerd, H., Eleveld, M., Ruddick, K., Schönfeld, W., Krasemann, H., Martinez-Vicente, V., Blondeau-Patissier, D., Jorgensen, P. V., Rottgers, R., and Sorensen, K.: Variability in specific-absorption properties and their use in Ocean Colour Algorithms for MERIS in North Sea coastal waters, Remote Sens. Environ., 118, 320–338, 2012.
Toole, D. A., Siegel, D. A., Wenzies, D. W, Neumann, M. J., and Smith, R. C.: Remote-sensing reflectance determinations in the coastal ocean environment: impact of instrumental characteristics and environmental variability, Appl. Optics, 39, 3, 456–469, 2000.
Tzortziou, M., Subramaniam, A., Herman, J. R., Gallegos, C. L., Neale, P. J., and Harding, L. W. J.: Remote sensing reflectance and inherent optical properties in the mid Chesapeake Bay, Estuarine, Coastal and Shelf Science, 72, 16–32, 2007.
van der Linde, D. W.: Protocol for the determination of total suspended matter in oceans and coastal zones, Technical Note I.98.182, European Commission Joint Research Centre, Ispra, Italy, 1998.
Van Heukelem, L. and Thomas, C. S.: Computer-assisted high-performance liquid chromatography method development with applications to the isolation and analysis of phytoplankton pigments, J. Chromatogr. A, 910, 31–49, 2001.
Werdell, P. J.: An evaluation of inherent optical property data for inclusion in the NASA Bio-optical Marine Algorithm Data Set, NASA Ocean Biology Processing Group paper, NASA Goddard Space Flight Cent., Greenbelt, Md., available at: http://seabass.gsfc.nasa.gov/seabass/data/werdell_nomad_iop_qc.pdf, 2005.
Werdell, P. J. and Bailey, S. W.: An improved in situ bio-optical data set for ocean color algorithm development and satellite data product validation, Remote Sens. Environ., 98, 122–140, 2005.
Werdell, P. J., Bailey, S. W., Fargion, G. S., Pietras, K., Knobelspiesse, K. D., Feldman, G. C., and McClain, C.: Unique data repository facilitates ocean color satellite validation, EOS, Transactions, American Geophysical Union, 84, 377–392, 2003.
Werdell, P. J., Franz, B. A., Bailey, S. W., Feldman, G. C., Boss, E., Brando, V. E., Dowell, M. D., Hirata, T., Lavender, S. J., Lee, Z., Loisel, H., Maritorena, S., Mélin, F., Moore, T. S., Smyth, T. J., Antoine, D., Devred, E., Hembise Fanton d'Andon, O., and Mangin, A.: Generalized ocean color inversion model for retrieving marine inherent optical properties, Appl. Optics, 52, 2019–2037, 2013.
WET Labs ac-9 Protocol: Revision H, WET Labs, Inc., Philomath, OR, USA, 42 pp., 2003.
Wright, S. W., Jeffrey, S. W., Mantoura, R. F. C., Llewellyn, C. A., Bjornland, T., and Repeta, D. J.: Improved HPLC method for the analysis of chlorophylls and carotenoids from marine phytoplankton, Mar. Ecol.-Prog. Ser., 77, 183–196, 1991.
Short summary
The CoastColour Round Robin (CCRR) project (European Space Agency) was designed to set up the first database for remote-sensing algorithm testing and accuracy assessment of water quality parameter retrieval in coastal waters, from satellite imagery. This paper analyses the CCRR database, which includes in situ bio-geochemical and optical measurements in various water types, match-up reflectance products from the MEdium Resolution Imaging Spectrometer (MERIS), and radiative transfer simulations.
The CoastColour Round Robin (CCRR) project (European Space Agency) was designed to set up the...
Altmetrics
Final-revised paper
Preprint