Articles | Volume 19, issue 21
https://doi.org/10.5194/bg-19-5079-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-5079-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Nov 2022
Research article |
| 07 Nov 2022
| 07 Nov 2022
Influence of GEOTRACES data distribution and misfit function choice on objective parameter retrieval in a marine zinc cycle model
Claudia Eisenring
CORRESPONDING AUTHOR
Department of Earth Sciences, Institute of Geochemistry and Petrology, ETH Zurich, Clausiusstrasse
25, 8092 Zurich, Switzerland
Sophy E. Oliver
Department of Earth Sciences, University of Oxford, South Parks Road,
Oxford, OX1 3AN, UK
National Oceanography Centre, Southampton, SO14 3ZH, UK
Samar Khatiwala
Department of Earth Sciences, University of Oxford, South Parks Road,
Oxford, OX1 3AN, UK
Gregory F. de Souza
Department of Earth Sciences, Institute of Geochemistry and Petrology, ETH Zurich, Clausiusstrasse
25, 8092 Zurich, Switzerland
Related authors
No articles found.
Sophy Oliver, Coralia Cartis, Iris Kriest, Simon F. B Tett, and Samar Khatiwala
Geosci. Model Dev., 15, 3537–3554, https://doi.org/10.5194/gmd-15-3537-2022, https://doi.org/10.5194/gmd-15-3537-2022, 2022
Short summary
Short summary
Global ocean biogeochemical models are used within Earth system models which are used to predict future climate change. However, these are very computationally expensive to run and therefore are rarely routinely improved or calibrated to real oceanic observations. Here we apply a new, fast optimisation algorithm to one such model and show that it can calibrate the model much faster than previously managed, therefore encouraging further ocean biogeochemical model improvements.
Jill N. Sutton, Gregory F. de Souza, Maribel I. García-Ibáñez, and Christina L. De La Rocha
Biogeosciences, 15, 5663–5676, https://doi.org/10.5194/bg-15-5663-2018, https://doi.org/10.5194/bg-15-5663-2018, 2018
Short summary
Short summary
The silicon stable isotope distribution determined from samples collected from the North Atlantic Ocean indicates that water mass subduction and circulation are the dominant processes controlling the distribution of dissolved silicon in this region. In addition, these data provide a clear view of the direct interaction between northern and southern water masses and the extent to which the silicon isotope composition of these silica-poor waters is influenced by hydrography.
Karin F. Kvale, Samar Khatiwala, Heiner Dietze, Iris Kriest, and Andreas Oschlies
Geosci. Model Dev., 10, 2425–2445, https://doi.org/10.5194/gmd-10-2425-2017, https://doi.org/10.5194/gmd-10-2425-2017, 2017
Short summary
Short summary
Computer models of ocean biology and chemistry are becoming increasingly complex, and thus more expensive, to run. One solution is to approximate the behaviour of the ocean physics and store that information outside of the model. That
offlineinformation can then be used to calculate a steady-state solution from the model's biology and chemistry, without waiting for a traditional
onlineintegration to complete. We show this offline method reproduces online results and is 100 times faster.
Iris Kriest, Volkmar Sauerland, Samar Khatiwala, Anand Srivastav, and Andreas Oschlies
Geosci. Model Dev., 10, 127–154, https://doi.org/10.5194/gmd-10-127-2017, https://doi.org/10.5194/gmd-10-127-2017, 2017
Short summary
Short summary
Global biogeochemical ocean models are subject to a high level of parametric uncertainty. This may be of consequence for their skill with respect to accurately describing features of the present ocean and their sensitivity to possible environmental changes. We present the first results from a framework that combines an offline biogeochemical tracer transport model with an estimation of distribution algorithm, calibrating six biogeochemical model parameters against observed oxygen and nutrients.
S. Khatiwala, T. Tanhua, S. Mikaloff Fletcher, M. Gerber, S. C. Doney, H. D. Graven, N. Gruber, G. A. McKinley, A. Murata, A. F. Ríos, and C. L. Sabine
Biogeosciences, 10, 2169–2191, https://doi.org/10.5194/bg-10-2169-2013, https://doi.org/10.5194/bg-10-2169-2013, 2013
R. Wanninkhof, G. -H. Park, T. Takahashi, C. Sweeney, R. Feely, Y. Nojiri, N. Gruber, S. C. Doney, G. A. McKinley, A. Lenton, C. Le Quéré, C. Heinze, J. Schwinger, H. Graven, and S. Khatiwala
Biogeosciences, 10, 1983–2000, https://doi.org/10.5194/bg-10-1983-2013, https://doi.org/10.5194/bg-10-1983-2013, 2013
Related subject area
Biogeochemistry: Open Ocean
Anthropogenic carbon storage and its decadal changes in the Atlantic between 1990–2020
Ocean alkalinity enhancement impacts: regrowth of marine microalgae in alkaline mineral concentrations simulating the initial concentrations after ship-based dispersions
Climatic controls on metabolic constraints in the ocean
Effects of grain size and seawater salinity on magnesium hydroxide dissolution and secondary calcium carbonate precipitation kinetics: implications for ocean alkalinity enhancement
Short-term response of Emiliania huxleyi growth and morphology to abrupt salinity stress
Assessing the impact of CO2-equilibrated ocean alkalinity enhancement on microbial metabolic rates in an oligotrophic system
Phosphomonoesterase and phosphodiesterase activities in the eastern Mediterranean in two contrasting seasonal situations
Hydrological cycle amplification imposes spatial pattern on climate change response of ocean pH and carbonate chemistry
Net primary production annual maxima in the North Atlantic projected to shift in the 21st century
Testing the influence of light on nitrite cycling in the eastern tropical North Pacific
Loss of nitrogen via anaerobic ammonium oxidation (anammox) in the California Current system during the late Quaternary
Drivers of decadal trends of the ocean carbon sink in the past, present, and future in Earth system models
Technical note: Assessment of float pH data quality control methods – a case study in the subpolar northwest Atlantic Ocean
Linking northeastern North Pacific oxygen changes to upstream surface outcrop variations
Evaluation of CMIP6 Models Performance in Simulating Historical Biogeochemistry across Southern South China Sea
Underestimation of multi-decadal global O2 loss due to an optimal interpolation method
Reviews and syntheses: expanding the global coverage of gross primary production and net community production measurements using Biogeochemical-Argo floats
Assessing the tropical Atlantic biogeochemical processes in the Norwegian Earth System Model
Characteristics of surface physical and biogeochemical parameters within mesoscale eddies in the Southern Ocean
Seasonal dynamics and annual budget of dissolved inorganic carbon in the northwestern Mediterranean deep-convection region
The fingerprint of climate variability on the surface ocean cycling of iron and its isotopes
Reconstructing the ocean's mesopelagic zone carbon budget: sensitivity and estimation of parameters associated with prokaryotic remineralization
Evolution of oxygen and stratification in the North Pacific Ocean in CMIP6 Earth System Models
Seasonal cycles of biogeochemical fluxes in the Scotia Sea, Southern Ocean: a stable isotope approach
Absence of photophysiological response to iron addition in autumn phytoplankton in the Antarctic sea-ice zone
Optimal parameters for the ocean's nutrient, carbon, and oxygen cycles compensate for circulation biases but replumb the biological pump
Importance of multiple sources of iron for the upper-ocean biogeochemistry over the northern Indian Ocean
Exploring the role of different data types and timescales in the quality of marine biogeochemical model calibration
All about nitrite: exploring nitrite sources and sinks in the eastern tropical North Pacific oxygen minimum zone
Fossil coccolith morphological attributes as a new proxy for deep ocean carbonate chemistry
Reconstructing ocean carbon storage with CMIP6 Earth system models and synthetic Argo observations
Using machine learning and Biogeochemical-Argo (BGC-Argo) floats to assess biogeochemical models and optimize observing system design
The representation of alkalinity and the carbonate pump from CMIP5 to CMIP6 Earth system models and implications for the carbon cycle
Model estimates of metazoans' contributions to the biological carbon pump
Tracing differences in iron supply to the Mid-Atlantic Ridge valley between hydrothermal vent sites: implications for the addition of iron to the deep ocean
Nitrite cycling in the primary nitrite maxima of the eastern tropical North Pacific
Hotspots and drivers of compound marine heatwaves and low net primary production extremes
Ecosystem impacts of marine heat waves in the northeast Pacific
Tracing the role of Arctic shelf processes in Si and N cycling and export through the Fram Strait: insights from combined silicon and nitrate isotopes
Controls on the relative abundances and rates of nitrifying microorganisms in the ocean
The response of diazotrophs to nutrient amendment in the South China Sea and western North Pacific
Physiological flexibility of phytoplankton impacts modelled chlorophyll and primary production across the North Pacific Ocean
Observation-constrained estimates of the global ocean carbon sink from Earth system models
Early winter barium excess in the southern Indian Ocean as an annual remineralisation proxy (GEOTRACES GIPr07 cruise)
Controlling factors on the global distribution of a representative marine non-cyanobacterial diazotroph phylotype (Gamma A)
Summer trends and drivers of sea surface fCO2 and pH changes observed in the southern Indian Ocean over the last two decades (1998–2019)
Global nutrient cycling by commercially targeted marine fish
Major processes of the dissolved cobalt cycle in the North and equatorial Pacific Ocean
The impact of the South-East Madagascar Bloom on the oceanic CO2 sink
Nitrite regeneration in the oligotrophic Atlantic Ocean
Reiner Steinfeldt, Monika Rhein, and Dagmar Kieke
Biogeosciences, 21, 3839–3867, https://doi.org/10.5194/bg-21-3839-2024, https://doi.org/10.5194/bg-21-3839-2024, 2024
Short summary
Short summary
We calculate the amount of anthropogenic carbon (Cant) in the Atlantic for the years 1990, 2000, 2010 and 2020. Cant is the carbon that is taken up by the ocean as a result of humanmade CO2 emissions. To determine the amount of Cant, we apply a technique that is based on the observations of other humanmade gases (e.g., chlorofluorocarbons). Regionally, changes in ocean ventilation have an impact on the storage of Cant. Overall, the increase in Cant is driven by the rising CO2 in the atmosphere.
Stephanie Delacroix, Tor Jensen Nystuen, August E. Dessen Tobiesen, Andrew L. King, and Erik Höglund
Biogeosciences, 21, 3677–3690, https://doi.org/10.5194/bg-21-3677-2024, https://doi.org/10.5194/bg-21-3677-2024, 2024
Short summary
Short summary
The addition of alkaline minerals into the ocean might reduce excessive anthropogenic CO2 emissions. Magnesium hydroxide can be added in large amounts because of its low seawater solubility without reaching harmful pH levels. The toxicity effect results of magnesium hydroxide, by simulating the expected concentrations from a ship's dispersion scenario, demonstrated low impacts on both sensitive and local assemblages of marine microalgae when compared to calcium hydroxide.
Precious Mongwe, Matthew Long, Takamitsu Ito, Curtis Deutsch, and Yeray Santana-Falcón
Biogeosciences, 21, 3477–3490, https://doi.org/10.5194/bg-21-3477-2024, https://doi.org/10.5194/bg-21-3477-2024, 2024
Short summary
Short summary
We use a collection of measurements that capture the physiological sensitivity of organisms to temperature and oxygen and a CESM1 large ensemble to investigate how natural climate variations and climate warming will impact the ability of marine heterotrophic marine organisms to support habitats in the future. We find that warming and dissolved oxygen loss over the next several decades will reduce the volume of ocean habitats and will increase organisms' vulnerability to extremes.
Charly A. Moras, Tyler Cyronak, Lennart T. Bach, Renaud Joannes-Boyau, and Kai G. Schulz
Biogeosciences, 21, 3463–3475, https://doi.org/10.5194/bg-21-3463-2024, https://doi.org/10.5194/bg-21-3463-2024, 2024
Short summary
Short summary
We investigate the effects of mineral grain size and seawater salinity on magnesium hydroxide dissolution and calcium carbonate precipitation kinetics for ocean alkalinity enhancement. Salinity did not affect the dissolution, but calcium carbonate formed earlier at lower salinities due to the lower magnesium and dissolved organic carbon concentrations. Smaller grain sizes dissolved faster but calcium carbonate precipitated earlier, suggesting that medium grain sizes are optimal for kinetics.
Rosie M. Sheward, Christina Gebühr, Jörg Bollmann, and Jens O. Herrle
Biogeosciences, 21, 3121–3141, https://doi.org/10.5194/bg-21-3121-2024, https://doi.org/10.5194/bg-21-3121-2024, 2024
Short summary
Short summary
How quickly do marine microorganisms respond to salinity stress? Our experiments with the calcifying marine plankton Emiliania huxleyi show that growth and cell morphology responded to salinity stress within as little as 24–48 hours, demonstrating that morphology and calcification are sensitive to salinity over a range of timescales. Our results have implications for understanding the short-term role of E. huxleyi in biogeochemical cycles and in size-based paleoproxies for salinity.
Laura Marín-Samper, Javier Arístegui, Nauzet Hernández-Hernández, Joaquín Ortiz, Stephen D. Archer, Andrea Ludwig, and Ulf Riebesell
Biogeosciences, 21, 2859–2876, https://doi.org/10.5194/bg-21-2859-2024, https://doi.org/10.5194/bg-21-2859-2024, 2024
Short summary
Short summary
Our planet is facing a climate crisis. Scientists are working on innovative solutions that will aid in capturing the hard to abate emissions before it is too late. Exciting research reveals that ocean alkalinity enhancement, a key climate change mitigation strategy, does not harm phytoplankton, the cornerstone of marine ecosystems. Through meticulous study, we may have uncovered a positive relationship: up to a specific limit, enhancing ocean alkalinity boosts photosynthesis by certain species.
France Van Wambeke, Pascal Conan, Mireille Pujo-Pay, Vincent Taillandier, Olivier Crispi, Alexandra Pavlidou, Sandra Nunige, Morgane Didry, Christophe Salmeron, and Elvira Pulido-Villena
Biogeosciences, 21, 2621–2640, https://doi.org/10.5194/bg-21-2621-2024, https://doi.org/10.5194/bg-21-2621-2024, 2024
Short summary
Short summary
Phosphomonoesterase (PME) and phosphodiesterase (PDE) activities over the epipelagic zone are described in the eastern Mediterranean Sea in winter and autumn. The types of concentration kinetics obtained for PDE (saturation at 50 µM, high Km, high turnover times) compared to those of PME (saturation at 1 µM, low Km, low turnover times) are discussed in regard to the possible inequal distribution of PDE and PME in the size continuum of organic material and accessibility to phosphodiesters.
Allison Hogikyan and Laure Resplandy
EGUsphere, https://doi.org/10.5194/egusphere-2024-1189, https://doi.org/10.5194/egusphere-2024-1189, 2024
Short summary
Short summary
Rising atmospheric CO2 influences ocean carbon chemistry leading to ocean acidification. Global warming introduces spatial patterns in the intensity of ocean acidification. We show that the most prominent spatial patterns are controlled by warming-driven changes in rainfall and evaporation, and not by the direct effect of warming on carbon chemistry and pH. This rainfall/evaporation effect opposes acidification in saltier parts of the ocean and enhances acidification in fresher regions.
Jenny Hieronymus, Magnus Hieronymus, Matthias Gröger, Jörg Schwinger, Raffaele Bernadello, Etienne Tourigny, Valentina Sicardi, Itzel Ruvalcaba Baroni, and Klaus Wyser
Biogeosciences, 21, 2189–2206, https://doi.org/10.5194/bg-21-2189-2024, https://doi.org/10.5194/bg-21-2189-2024, 2024
Short summary
Short summary
The timing of the net primary production annual maxima in the North Atlantic in the period 1750–2100 is investigated using two Earth system models and the high-emissions scenario SSP5-8.5. It is found that, for most of the region, the annual maxima occur progressively earlier, with the most change occurring after the year 2000. Shifts in the seasonality of the primary production may impact the entire ecosystem, which highlights the need for long-term monitoring campaigns in this area.
Nicole M. Travis, Colette L. Kelly, and Karen L. Casciotti
Biogeosciences, 21, 1985–2004, https://doi.org/10.5194/bg-21-1985-2024, https://doi.org/10.5194/bg-21-1985-2024, 2024
Short summary
Short summary
We conducted experimental manipulations of light level on microbial communities from the primary nitrite maximum. Overall, while individual microbial processes have different directions and magnitudes in their response to increasing light, the net community response is a decline in nitrite production with increasing light. We conclude that while increased light may decrease net nitrite production, high-light conditions alone do not exclude nitrification from occurring in the surface ocean.
Zoë Rebecca van Kemenade, Zeynep Erdem, Ellen Christine Hopmans, Jaap Smede Sinninghe Damsté, and Darci Rush
Biogeosciences, 21, 1517–1532, https://doi.org/10.5194/bg-21-1517-2024, https://doi.org/10.5194/bg-21-1517-2024, 2024
Short summary
Short summary
The California Current system (CCS) hosts the eastern subtropical North Pacific oxygen minimum zone (ESTNP OMZ). This study shows anaerobic ammonium oxidizing (anammox) bacteria cause a loss of bioavailable nitrogen (N) in the ESTNP OMZ throughout the late Quaternary. Anammox occurred during both glacial and interglacial periods and was driven by the supply of organic matter and changes in ocean currents. These findings may have important consequences for biogeochemical models of the CCS.
Jens Terhaar
EGUsphere, https://doi.org/10.5194/egusphere-2024-773, https://doi.org/10.5194/egusphere-2024-773, 2024
Short summary
Short summary
Despite the ocean’s importance for the carbon cycle and hence the climate, observing the ocean carbon sink remains challenging. Here, I use an ensemble of 12 Models to understand drivers of decadal trends of the past, present and future ocean carbon sink. I show that 80 % of decadal trends in the multi-model mean ocean carbon sink can be explained by changes in decadal trends of atmospheric CO2. The remaining 20 % are due to internal climate variability and ocean heat uptake.
Cathy Wimart-Rousseau, Tobias Steinhoff, Birgit Klein, Henry Bittig, and Arne Körtzinger
Biogeosciences, 21, 1191–1211, https://doi.org/10.5194/bg-21-1191-2024, https://doi.org/10.5194/bg-21-1191-2024, 2024
Short summary
Short summary
The marine CO2 system can be measured independently and continuously by BGC-Argo floats since numerous pH sensors have been developed to suit these autonomous measurements platforms. By applying the Argo correction routines to float pH data acquired in the subpolar North Atlantic Ocean, we report the uncertainty and lack of objective criteria associated with the choice of the reference method as well the reference depth for the pH correction.
Sabine Mecking and Kyla Drushka
Biogeosciences, 21, 1117–1133, https://doi.org/10.5194/bg-21-1117-2024, https://doi.org/10.5194/bg-21-1117-2024, 2024
Short summary
Short summary
This study investigates whether northeastern North Pacific oxygen changes may be caused by surface density changes in the northwest as water moves along density horizons from the surface into the subsurface ocean. A correlation is found with a lag that about matches the travel time of water from the northwest to the northeast. Salinity is the main driver causing decadal changes in surface density, whereas salinity and temperature contribute about equally to long-term declining density trends.
Winfred Marshal, Jing Xiang Chung, and Mohd Fadzil Bin Mohd Akhir
EGUsphere, https://doi.org/10.5194/egusphere-2024-72, https://doi.org/10.5194/egusphere-2024-72, 2024
Short summary
Short summary
This study stands out for thoroughly examining CMIP6 ESMs ability to simulate biogeochemical variables in the southern South China Sea, an economically important region. It assesses variables like chlorophyll, phytoplankton, nitrate and oxygen on annual and seasonal scales. While global assessments exist, this study addresses a gap by objectively ranking 13 CMIP6 ocean biogeochemistry models' performance at a regional level, focusing on replicating specific observed biogeochemical variables.
Takamitsu Ito, Hernan E. Garcia, Zhankun Wang, Shoshiro Minobe, Matthew C. Long, Just Cebrian, James Reagan, Tim Boyer, Christopher Paver, Courtney Bouchard, Yohei Takano, Seth Bushinsky, Ahron Cervania, and Curtis A. Deutsch
Biogeosciences, 21, 747–759, https://doi.org/10.5194/bg-21-747-2024, https://doi.org/10.5194/bg-21-747-2024, 2024
Short summary
Short summary
This study aims to estimate how much oceanic oxygen has been lost and its uncertainties. One major source of uncertainty comes from the statistical gap-filling methods. Outputs from Earth system models are used to generate synthetic observations where oxygen data are extracted from the model output at the location and time of historical oceanographic cruises. Reconstructed oxygen trend is approximately two-thirds of the true trend.
Robert W. Izett, Katja Fennel, Adam C. Stoer, and David P. Nicholson
Biogeosciences, 21, 13–47, https://doi.org/10.5194/bg-21-13-2024, https://doi.org/10.5194/bg-21-13-2024, 2024
Short summary
Short summary
This paper provides an overview of the capacity to expand the global coverage of marine primary production estimates using autonomous ocean-going instruments, called Biogeochemical-Argo floats. We review existing approaches to quantifying primary production using floats, provide examples of the current implementation of the methods, and offer insights into how they can be better exploited. This paper is timely, given the ongoing expansion of the Biogeochemical-Argo array.
Shunya Koseki, Lander R. Crespo, Jerry Tjiputra, Filippa Fransner, Noel S. Keenlyside, and David Rivas
EGUsphere, https://doi.org/10.5194/egusphere-2023-2947, https://doi.org/10.5194/egusphere-2023-2947, 2023
Short summary
Short summary
We investigated how the physical biases of an Earth system model influence the marine biogeochemical processes in the tropical Atlantic. With four different configurations of the model, we have shown that the versions with better SST reproduction tend to represent the primary production and sea-air CO2 flux in terms of climatology, seasonal cycle, and responses to climate variability.
Qian Liu, Yingjie Liu, and Xiaofeng Li
Biogeosciences, 20, 4857–4874, https://doi.org/10.5194/bg-20-4857-2023, https://doi.org/10.5194/bg-20-4857-2023, 2023
Short summary
Short summary
In the Southern Ocean, abundant eddies behave opposite to our expectations. That is, anticyclonic (cyclonic) eddies are cold (warm). By investigating the variations of physical and biochemical parameters in eddies, we find that abnormal eddies have unique and significant effects on modulating the parameters. This study fills a gap in understanding the effects of abnormal eddies on physical and biochemical parameters in the Southern Ocean.
Caroline Ulses, Claude Estournel, Patrick Marsaleix, Karline Soetaert, Marine Fourrier, Laurent Coppola, Dominique Lefèvre, Franck Touratier, Catherine Goyet, Véronique Guglielmi, Fayçal Kessouri, Pierre Testor, and Xavier Durrieu de Madron
Biogeosciences, 20, 4683–4710, https://doi.org/10.5194/bg-20-4683-2023, https://doi.org/10.5194/bg-20-4683-2023, 2023
Short summary
Short summary
Deep convection plays a key role in the circulation, thermodynamics, and biogeochemical cycles in the Mediterranean Sea, considered to be a hotspot of biodiversity and climate change. In this study, we investigate the seasonal and annual budget of dissolved inorganic carbon in the deep-convection area of the northwestern Mediterranean Sea.
Daniela König and Alessandro Tagliabue
Biogeosciences, 20, 4197–4212, https://doi.org/10.5194/bg-20-4197-2023, https://doi.org/10.5194/bg-20-4197-2023, 2023
Short summary
Short summary
Using model simulations, we show that natural and anthropogenic changes in the global climate leave a distinct fingerprint in the isotopic signatures of iron in the surface ocean. We find that these climate effects on iron isotopes are often caused by the redistribution of iron from different external sources to the ocean, due to changes in ocean currents, and by changes in algal growth, which take up iron. Thus, isotopes may help detect climate-induced changes in iron supply and algal uptake.
Chloé Baumas, Robin Fuchs, Marc Garel, Jean-Christophe Poggiale, Laurent Memery, Frédéric A. C. Le Moigne, and Christian Tamburini
Biogeosciences, 20, 4165–4182, https://doi.org/10.5194/bg-20-4165-2023, https://doi.org/10.5194/bg-20-4165-2023, 2023
Short summary
Short summary
Through the sink of particles in the ocean, carbon (C) is exported and sequestered when reaching 1000 m. Attempts to quantify C exported vs. C consumed by heterotrophs have increased. Yet most of the conducted estimations have led to C demands several times higher than C export. The choice of parameters greatly impacts the results. As theses parameters are overlooked, non-accurate values are often used. In this study we show that C budgets can be well balanced when using appropriate values.
Lyuba Novi, Annalisa Bracco, Takamitsu Ito, and Yohei Takano
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-129, https://doi.org/10.5194/bg-2023-129, 2023
Revised manuscript accepted for BG
Short summary
Short summary
We explored the relationship between oxygen and stratification in the North Pacific Ocean, using a combination of data mining and machine learning. We used isopycnic potential vorticity (IPV) as an indicator to quantify ocean ventilation and we analyzed its predictability, a strong O2-IPV connection and predictability for IPV in the tropical Pacific. This open new routes to monitor ocean O2 through few observational sites co-located with more abundant IPV measurements in the tropical Pacific.
Anna Belcher, Sian F. Henley, Katharine Hendry, Marianne Wootton, Lisa Friberg, Ursula Dallman, Tong Wang, Christopher Coath, and Clara Manno
Biogeosciences, 20, 3573–3591, https://doi.org/10.5194/bg-20-3573-2023, https://doi.org/10.5194/bg-20-3573-2023, 2023
Short summary
Short summary
The oceans play a crucial role in the uptake of atmospheric carbon dioxide, particularly the Southern Ocean. The biological pumping of carbon from the surface to the deep ocean is key to this. Using sediment trap samples from the Scotia Sea, we examine biogeochemical fluxes of carbon, nitrogen, and biogenic silica and their stable isotope compositions. We find phytoplankton community structure and physically mediated processes are important controls on particulate fluxes to the deep ocean.
Asmita Singh, Susanne Fietz, Sandy J. Thomalla, Nicolas Sanchez, Murat V. Ardelan, Sébastien Moreau, Hanna M. Kauko, Agneta Fransson, Melissa Chierici, Saumik Samanta, Thato N. Mtshali, Alakendra N. Roychoudhury, and Thomas J. Ryan-Keogh
Biogeosciences, 20, 3073–3091, https://doi.org/10.5194/bg-20-3073-2023, https://doi.org/10.5194/bg-20-3073-2023, 2023
Short summary
Short summary
Despite the scarcity of iron in the Southern Ocean, seasonal blooms occur due to changes in nutrient and light availability. Surprisingly, during an autumn bloom in the Antarctic sea-ice zone, the results from incubation experiments showed no significant photophysiological response of phytoplankton to iron addition. This suggests that ambient iron concentrations were sufficient, challenging the notion of iron deficiency in the Southern Ocean through extended iron-replete post-bloom conditions.
Benoît Pasquier, Mark Holzer, Matthew A. Chamberlain, Richard J. Matear, Nathaniel L. Bindoff, and François W. Primeau
Biogeosciences, 20, 2985–3009, https://doi.org/10.5194/bg-20-2985-2023, https://doi.org/10.5194/bg-20-2985-2023, 2023
Short summary
Short summary
Modeling the ocean's carbon and oxygen cycles accurately is challenging. Parameter optimization improves the fit to observed tracers but can introduce artifacts in the biological pump. Organic-matter production and subsurface remineralization rates adjust to compensate for circulation biases, changing the pathways and timescales with which nutrients return to the surface. Circulation biases can thus strongly alter the system’s response to ecological change, even when parameters are optimized.
Priyanka Banerjee
Biogeosciences, 20, 2613–2643, https://doi.org/10.5194/bg-20-2613-2023, https://doi.org/10.5194/bg-20-2613-2023, 2023
Short summary
Short summary
This study shows that atmospheric deposition is the most important source of iron to the upper northern Indian Ocean for phytoplankton growth. This is followed by iron from continental-shelf sediment. Phytoplankton increase following iron addition is possible only with high background levels of nitrate. Vertical mixing is the most important physical process supplying iron to the upper ocean in this region throughout the year. The importance of ocean currents in supplying iron varies seasonally.
Iris Kriest, Julia Getzlaff, Angela Landolfi, Volkmar Sauerland, Markus Schartau, and Andreas Oschlies
Biogeosciences, 20, 2645–2669, https://doi.org/10.5194/bg-20-2645-2023, https://doi.org/10.5194/bg-20-2645-2023, 2023
Short summary
Short summary
Global biogeochemical ocean models are often subjectively assessed and tuned against observations. We applied different strategies to calibrate a global model against observations. Although the calibrated models show similar tracer distributions at the surface, they differ in global biogeochemical fluxes, especially in global particle flux. Simulated global volume of oxygen minimum zones varies strongly with calibration strategy and over time, rendering its temporal extrapolation difficult.
John C. Tracey, Andrew R. Babbin, Elizabeth Wallace, Xin Sun, Katherine L. DuRussel, Claudia Frey, Donald E. Martocello III, Tyler Tamasi, Sergey Oleynik, and Bess B. Ward
Biogeosciences, 20, 2499–2523, https://doi.org/10.5194/bg-20-2499-2023, https://doi.org/10.5194/bg-20-2499-2023, 2023
Short summary
Short summary
Nitrogen (N) is essential for life; thus, its availability plays a key role in determining marine productivity. Using incubations of seawater spiked with a rare form of N measurable on a mass spectrometer, we quantified microbial pathways that determine marine N availability. The results show that pathways that recycle N have higher rates than those that result in its loss from biomass and present new evidence for anaerobic nitrite oxidation, a process long thought to be strictly aerobic.
Amanda Gerotto, Hongrui Zhang, Renata Hanae Nagai, Heather M. Stoll, Rubens César Lopes Figueira, Chuanlian Liu, and Iván Hernández-Almeida
Biogeosciences, 20, 1725–1739, https://doi.org/10.5194/bg-20-1725-2023, https://doi.org/10.5194/bg-20-1725-2023, 2023
Short summary
Short summary
Based on the analysis of the response of coccolithophores’ morphological attributes in a laboratory dissolution experiment and surface sediment samples from the South China Sea, we proposed that the thickness shape (ks) factor of fossil coccoliths together with the normalized ks variation, which is the ratio of the standard deviation of ks (σ) over the mean ks (σ/ks), is a robust and novel proxy to reconstruct past changes in deep ocean carbon chemistry.
Katherine E. Turner, Doug M. Smith, Anna Katavouta, and Richard G. Williams
Biogeosciences, 20, 1671–1690, https://doi.org/10.5194/bg-20-1671-2023, https://doi.org/10.5194/bg-20-1671-2023, 2023
Short summary
Short summary
We present a new method for reconstructing ocean carbon using climate models and temperature and salinity observations. To test this method, we reconstruct modelled carbon using synthetic observations consistent with current sampling programmes. Sensitivity tests show skill in reconstructing carbon trends and variability within the upper 2000 m. Our results indicate that this method can be used for a new global estimate for ocean carbon content.
Alexandre Mignot, Hervé Claustre, Gianpiero Cossarini, Fabrizio D'Ortenzio, Elodie Gutknecht, Julien Lamouroux, Paolo Lazzari, Coralie Perruche, Stefano Salon, Raphaëlle Sauzède, Vincent Taillandier, and Anna Teruzzi
Biogeosciences, 20, 1405–1422, https://doi.org/10.5194/bg-20-1405-2023, https://doi.org/10.5194/bg-20-1405-2023, 2023
Short summary
Short summary
Numerical models of ocean biogeochemistry are becoming a major tool to detect and predict the impact of climate change on marine resources and monitor ocean health. Here, we demonstrate the use of the global array of BGC-Argo floats for the assessment of biogeochemical models. We first detail the handling of the BGC-Argo data set for model assessment purposes. We then present 23 assessment metrics to quantify the consistency of BGC model simulations with respect to BGC-Argo data.
Alban Planchat, Lester Kwiatkowski, Laurent Bopp, Olivier Torres, James R. Christian, Momme Butenschön, Tomas Lovato, Roland Séférian, Matthew A. Chamberlain, Olivier Aumont, Michio Watanabe, Akitomo Yamamoto, Andrew Yool, Tatiana Ilyina, Hiroyuki Tsujino, Kristen M. Krumhardt, Jörg Schwinger, Jerry Tjiputra, John P. Dunne, and Charles Stock
Biogeosciences, 20, 1195–1257, https://doi.org/10.5194/bg-20-1195-2023, https://doi.org/10.5194/bg-20-1195-2023, 2023
Short summary
Short summary
Ocean alkalinity is critical to the uptake of atmospheric carbon and acidification in surface waters. We review the representation of alkalinity and the associated calcium carbonate cycle in Earth system models. While many parameterizations remain present in the latest generation of models, there is a general improvement in the simulated alkalinity distribution. This improvement is related to an increase in the export of biotic calcium carbonate, which closer resembles observations.
Jérôme Pinti, Tim DeVries, Tommy Norin, Camila Serra-Pompei, Roland Proud, David A. Siegel, Thomas Kiørboe, Colleen M. Petrik, Ken H. Andersen, Andrew S. Brierley, and André W. Visser
Biogeosciences, 20, 997–1009, https://doi.org/10.5194/bg-20-997-2023, https://doi.org/10.5194/bg-20-997-2023, 2023
Short summary
Short summary
Large numbers of marine organisms such as zooplankton and fish perform daily vertical migration between the surface (at night) and the depths (in the daytime). This fascinating migration is important for the carbon cycle, as these organisms actively bring carbon to depths where it is stored away from the atmosphere for a long time. Here, we quantify the contributions of different animals to this carbon drawdown and storage and show that fish are important to the biological carbon pump.
Alastair J. M. Lough, Alessandro Tagliabue, Clément Demasy, Joseph A. Resing, Travis Mellett, Neil J. Wyatt, and Maeve C. Lohan
Biogeosciences, 20, 405–420, https://doi.org/10.5194/bg-20-405-2023, https://doi.org/10.5194/bg-20-405-2023, 2023
Short summary
Short summary
Iron is a key nutrient for ocean primary productivity. Hydrothermal vents are a source of iron to the oceans, but the size of this source is poorly understood. This study examines the variability in iron inputs between hydrothermal vents in different geological settings. The vents studied release different amounts of Fe, resulting in plumes with similar dissolved iron concentrations but different particulate concentrations. This will help to refine modelling of iron-limited ocean productivity.
Nicole M. Travis, Colette L. Kelly, Margaret R. Mulholland, and Karen L. Casciotti
Biogeosciences, 20, 325–347, https://doi.org/10.5194/bg-20-325-2023, https://doi.org/10.5194/bg-20-325-2023, 2023
Short summary
Short summary
The primary nitrite maximum is a ubiquitous upper ocean feature where nitrite accumulates, but we still do not understand its formation and the co-occurring microbial processes involved. Using correlative methods and rates measurements, we found strong spatial patterns between environmental conditions and depths of the nitrite maxima, but not the maximum concentrations. Nitrification was the dominant source of nitrite, with occasional high nitrite production from phytoplankton near the coast.
Natacha Le Grix, Jakob Zscheischler, Keith B. Rodgers, Ryohei Yamaguchi, and Thomas L. Frölicher
Biogeosciences, 19, 5807–5835, https://doi.org/10.5194/bg-19-5807-2022, https://doi.org/10.5194/bg-19-5807-2022, 2022
Short summary
Short summary
Compound events threaten marine ecosystems. Here, we investigate the potentially harmful combination of marine heatwaves with low phytoplankton productivity. Using satellite-based observations, we show that these compound events are frequent in the low latitudes. We then investigate the drivers of these compound events using Earth system models. The models share similar drivers in the low latitudes but disagree in the high latitudes due to divergent factors limiting phytoplankton production.
Abigale M. Wyatt, Laure Resplandy, and Adrian Marchetti
Biogeosciences, 19, 5689–5705, https://doi.org/10.5194/bg-19-5689-2022, https://doi.org/10.5194/bg-19-5689-2022, 2022
Short summary
Short summary
Marine heat waves (MHWs) are a frequent event in the northeast Pacific, with a large impact on the region's ecosystems. Large phytoplankton in the North Pacific Transition Zone are greatly affected by decreased nutrients, with less of an impact in the Alaskan Gyre. For small phytoplankton, MHWs increase the spring small phytoplankton population in both regions thanks to reduced light limitation. In both zones, this results in a significant decrease in the ratio of large to small phytoplankton.
Margot C. F. Debyser, Laetitia Pichevin, Robyn E. Tuerena, Paul A. Dodd, Antonia Doncila, and Raja S. Ganeshram
Biogeosciences, 19, 5499–5520, https://doi.org/10.5194/bg-19-5499-2022, https://doi.org/10.5194/bg-19-5499-2022, 2022
Short summary
Short summary
We focus on the exchange of key nutrients for algae production between the Arctic and Atlantic oceans through the Fram Strait. We show that the export of dissolved silicon here is controlled by the availability of nitrate which is influenced by denitrification on Arctic shelves. We suggest that any future changes in the river inputs of silica and changes in denitrification due to climate change will impact the amount of silicon exported, with impacts on Atlantic algal productivity and ecology.
Emily J. Zakem, Barbara Bayer, Wei Qin, Alyson E. Santoro, Yao Zhang, and Naomi M. Levine
Biogeosciences, 19, 5401–5418, https://doi.org/10.5194/bg-19-5401-2022, https://doi.org/10.5194/bg-19-5401-2022, 2022
Short summary
Short summary
We use a microbial ecosystem model to quantitatively explain the mechanisms controlling observed relative abundances and nitrification rates of ammonia- and nitrite-oxidizing microorganisms in the ocean. We also estimate how much global carbon fixation can be associated with chemoautotrophic nitrification. Our results improve our understanding of the controls on nitrification, laying the groundwork for more accurate predictions in global climate models.
Zuozhu Wen, Thomas J. Browning, Rongbo Dai, Wenwei Wu, Weiying Li, Xiaohua Hu, Wenfang Lin, Lifang Wang, Xin Liu, Zhimian Cao, Haizheng Hong, and Dalin Shi
Biogeosciences, 19, 5237–5250, https://doi.org/10.5194/bg-19-5237-2022, https://doi.org/10.5194/bg-19-5237-2022, 2022
Short summary
Short summary
Fe and P are key factors controlling the biogeography and activity of marine N2-fixing microorganisms. We found lower abundance and activity of N2 fixers in the northern South China Sea than around the western boundary of the North Pacific, and N2 fixation rates switched from Fe–P co-limitation to P limitation. We hypothesize the Fe supply rates and Fe utilization strategies of each N2 fixer are important in regulating spatial variability in community structure across the study area.
Yoshikazu Sasai, Sherwood Lan Smith, Eko Siswanto, Hideharu Sasaki, and Masami Nonaka
Biogeosciences, 19, 4865–4882, https://doi.org/10.5194/bg-19-4865-2022, https://doi.org/10.5194/bg-19-4865-2022, 2022
Short summary
Short summary
We have investigated the adaptive response of phytoplankton growth to changing light, nutrients, and temperature over the North Pacific using two physical-biological models. We compare modeled chlorophyll and primary production from an inflexible control model (InFlexPFT), which assumes fixed carbon (C):nitrogen (N):chlorophyll (Chl) ratios, to a recently developed flexible phytoplankton functional type model (FlexPFT), which incorporates photoacclimation and variable C:N:Chl ratios.
Jens Terhaar, Thomas L. Frölicher, and Fortunat Joos
Biogeosciences, 19, 4431–4457, https://doi.org/10.5194/bg-19-4431-2022, https://doi.org/10.5194/bg-19-4431-2022, 2022
Short summary
Short summary
Estimates of the ocean sink of anthropogenic carbon vary across various approaches. We show that the global ocean carbon sink can be estimated by three parameters, two of which approximate the ocean ventilation in the Southern Ocean and the North Atlantic, and one of which approximates the chemical capacity of the ocean to take up carbon. With observations of these parameters, we estimate that the global ocean carbon sink is 10 % larger than previously assumed, and we cut uncertainties in half.
Natasha René van Horsten, Hélène Planquette, Géraldine Sarthou, Thomas James Ryan-Keogh, Nolwenn Lemaitre, Thato Nicholas Mtshali, Alakendra Roychoudhury, and Eva Bucciarelli
Biogeosciences, 19, 3209–3224, https://doi.org/10.5194/bg-19-3209-2022, https://doi.org/10.5194/bg-19-3209-2022, 2022
Short summary
Short summary
The remineralisation proxy, barite, was measured along 30°E in the southern Indian Ocean during early austral winter. To our knowledge this is the first reported Southern Ocean winter study. Concentrations throughout the water column were comparable to observations during spring to autumn. By linking satellite primary production to this proxy a possible annual timescale is proposed. These findings also suggest possible carbon remineralisation from satellite data on a basin scale.
Zhibo Shao and Ya-Wei Luo
Biogeosciences, 19, 2939–2952, https://doi.org/10.5194/bg-19-2939-2022, https://doi.org/10.5194/bg-19-2939-2022, 2022
Short summary
Short summary
Non-cyanobacterial diazotrophs (NCDs) may be an important player in fixing N2 in the ocean. By conducting meta-analyses, we found that a representative marine NCD phylotype, Gamma A, tends to inhabit ocean environments with high productivity, low iron concentration and high light intensity. It also appears to be more abundant inside cyclonic eddies. Our study suggests a niche differentiation of NCDs from cyanobacterial diazotrophs as the latter prefers low-productivity and high-iron oceans.
Coraline Leseurre, Claire Lo Monaco, Gilles Reverdin, Nicolas Metzl, Jonathan Fin, Claude Mignon, and Léa Benito
Biogeosciences, 19, 2599–2625, https://doi.org/10.5194/bg-19-2599-2022, https://doi.org/10.5194/bg-19-2599-2022, 2022
Short summary
Short summary
Decadal trends of fugacity of CO2 (fCO2), total alkalinity (AT), total carbon (CT) and pH in surface waters are investigated in different domains of the southern Indian Ocean (45°S–57°S) from ongoing and station observations regularly conducted in summer over the period 1998–2019. The fCO2 increase and pH decrease are mainly driven by anthropogenic CO2 estimated just below the summer mixed layer, as well as by a warming south of the polar front or in the fertilized waters near Kerguelen Island.
Priscilla Le Mézo, Jérôme Guiet, Kim Scherrer, Daniele Bianchi, and Eric Galbraith
Biogeosciences, 19, 2537–2555, https://doi.org/10.5194/bg-19-2537-2022, https://doi.org/10.5194/bg-19-2537-2022, 2022
Short summary
Short summary
This study quantifies the role of commercially targeted fish biomass in the cycling of three important nutrients (N, P, and Fe), relative to nutrients otherwise available in water and to nutrients required by primary producers, and the impact of fishing. We use a model of commercially targeted fish biomass constrained by fish catch and stock assessment data to assess the contributions of fish at the global scale, at the time of the global peak catch and prior to industrial fishing.
Rebecca Chmiel, Nathan Lanning, Allison Laubach, Jong-Mi Lee, Jessica Fitzsimmons, Mariko Hatta, William Jenkins, Phoebe Lam, Matthew McIlvin, Alessandro Tagliabue, and Mak Saito
Biogeosciences, 19, 2365–2395, https://doi.org/10.5194/bg-19-2365-2022, https://doi.org/10.5194/bg-19-2365-2022, 2022
Short summary
Short summary
Dissolved cobalt is present in trace amounts in seawater and is a necessary nutrient for marine microbes. On a transect from the Alaskan coast to Tahiti, we measured seawater concentrations of dissolved cobalt. Here, we describe several interesting features of the Pacific cobalt cycle including cobalt sources along the Alaskan coast and Hawaiian vents, deep-ocean particle formation, cobalt activity in low-oxygen regions, and how our samples compare to a global biogeochemical model’s predictions.
Nicolas Metzl, Claire Lo Monaco, Coraline Leseurre, Céline Ridame, Jonathan Fin, Claude Mignon, Marion Gehlen, and Thi Tuyet Trang Chau
Biogeosciences, 19, 1451–1468, https://doi.org/10.5194/bg-19-1451-2022, https://doi.org/10.5194/bg-19-1451-2022, 2022
Short summary
Short summary
During an oceanographic cruise conducted in January 2020 in the south-western Indian Ocean, we observed very low CO2 concentrations associated with a strong phytoplankton bloom that occurred south-east of Madagascar. This biological event led to a strong regional CO2 ocean sink not previously observed.
Darren R. Clark, Andrew P. Rees, Charissa M. Ferrera, Lisa Al-Moosawi, Paul J. Somerfield, Carolyn Harris, Graham D. Quartly, Stephen Goult, Glen Tarran, and Gennadi Lessin
Biogeosciences, 19, 1355–1376, https://doi.org/10.5194/bg-19-1355-2022, https://doi.org/10.5194/bg-19-1355-2022, 2022
Short summary
Short summary
Measurements of microbial processes were made in the sunlit open ocean during a research cruise (AMT19) between the UK and Chile. These help us to understand how microbial communities maintain the function of remote ecosystems. We find that the nitrogen cycling microbes which produce nitrite respond to changes in the environment. Our insights will aid the development of models that aim to replicate and ultimately project how marine environments may respond to ongoing climate change.
Cited articles
Baars, O. and Croot, P. L.: The speciation of dissolved zinc in the
Atlantic sector of the Southern Ocean, Deep-Sea Res. Pt. II, 58, 2720–2732,
https://doi.org/10.1016/j.dsr2.2011.02.003, 2011.
Bevington, P. R. and Robinson, D. K.: Data reduction and error analysis for
the physical sciences, 3rd Edn., Boston, McGraw-Hill, ISBN 0-07-247227-8, 2003.
Bruland, K. W.: Oceanographic distributions of cadmium, zinc, nickel, and
copper in the North Pacific, Earth Planet. Sc. Lett., 47,
176–198, https://doi.org/10.1016/0012-821X(80)90035-7, 1980.
Bruland, K. W.: Complexation of zinc by natural organic ligands in the
central North Pacific, Limnol. Oceanogr., 34, 269–285, https://doi.org/10.4319/lo.1989.34.2.0269, 1989.
Moffett, J.: standards and reference materials for intercalibration, https://www.geotraces.org/standards-and-reference-materials/ (last access: 27 October 2022), 2019.
Chester, R. and Jickells, T. D.: Marine geochemistry, 3rd Edn., Chichester,
Wiley-Blackwell, ISBN 978-1-405-18734-3, 2012.
Cloete, R., Loock, J. C., van Horsten, N. R., Menzel Barraqueta, J. L.,
Fietz, S., Mtshali, T. N., Planquette, H., García-Ibáñez, M.
I., and Roychoudhury, A. N.: Winter dissolved and particulate zinc in the
Indian Sector of the Southern Ocean: Distribution and relation to major
nutrients (GEOTRACES GIpr07 transect), Mar. Chem., 236, 104031,
https://doi.org/10.1016/j.marchem.2021.104031, 2021.
Conway, T. M. and John, S. G.: The biogeochemical cycling of zinc and zinc
isotopes in the North Atlantic Ocean, Global Biogeochem. Cy., 28,
1111–1128, https://doi.org/10.1002/2014gb004862, 2014.
Conway, T. M. and John, S. G.: The cycling of iron, zinc and cadmium in the
North East Pacific Ocean – Insights from stable isotopes, Geochim.
Cosmochim. Ac., 164, 262–283, https://doi.org/10.1016/j.gca.2015.05.023, 2015.
Conway, T. M., Horner, T. J., Plancherel, Y., and González, A. G.: A
decade of progress in understanding cycles of trace elements and their
isotopes in the oceans, Chem. Geol., 580, 120381, https://doi.org/10.1016/j.chemgeo.2021.120381, 2021.
de Souza, G. F., Khatiwala, S. P., Hain, M. P., Little, S. H., and Vance,
D.: On the origin of the marine zinc–silicon correlation, Earth
Planet. Sc. Lett., 492, 22–34, https://doi.org/10.1016/j.epsl.2018.03.050, 2018.
DeVries, T., Liang, J. H., and Deutsch, C.: A mechanistic particle flux
model applied to the oceanic phosphorus cycle, Biogeosciences, 11,
5381–5398, https://doi.org/10.5194/bg-11-5381-2014, 2014.
Dietze, H. and Löptien, U.: Revisiting “nutrient trapping” in global
coupled biogeochemical ocean circulation models, Global Biogeochem.
Cy., 27, 265–284, https://doi.org/10.1002/gbc.20029, 2013.
Donat, J. R. and Bruland, K. W.: A comparison of two voltammetric techniques
for determining zinc speciation in Northeast Pacific Ocean waters, Mar.
Chem., 28, 301–323, https://doi.org/10.1016/0304-4203(90)90050-M, 1990.
Doney, S. C.: Major challenges confronting marine biogeochemical modeling,
Global Biogeochem. Cy., 13, 705–714, https://doi.org/10.1029/1999GB900039, 1999.
Doney, S. C., Lindsay, K., Caldeira, K., Campin, J. M., Drange, H., Dutay,
J. C., Follows, M., Gao, Y., Gnanadesikan, A., Gruber, N., Ishida, A., Joos,
F., Madec, G., Maier-Reimer, E., Marshall, J. C., Matear, R. J., Monfray,
P., Mouchet, A., Najjar, R., Orr, J. C., Plattner, G. K., Sarmiento, J.,
Schlitzer, R., Slater, R., Totterdell, I. J., Weirig, M. F., Yamanaka, Y.,
and Yool, A.: Evaluating global ocean carbon models: The importance of
realistic physics, Global Biogeochem. Cy., 18, GB3017, https://doi.org/10.1029/2003GB002150, 2004.
Dutkiewicz, S., Follows, M. J., and Parekh, P.: Interactions of the iron and
phosphorus cycles: A three-dimensional model study, Global Biogeochem.
Cy., 19, GB1021, https://doi.org/10.1029/2004GB002342, 2005.
Eisenring, C., Oliver, S. E., Khatiwala, S., and de Souza, G. F.: Code and
data availability of the article “Influence of GEOTRACES data distribution
and misfit function choice on objective parameter retrieval in a marine zinc
cycle model”, ETH Zurich [code], https://doi.org/10.3929/ethz-b-000543389, 2022.
Ellwood, M. and van den Berg, C. M. G.: Zinc speciation in the Northeastern
Atlantic Ocean, Mar. Chem., 68, 295–306, https://doi.org/10.1016/S0304-4203(99)00085-7, 2000.
Ellwood, M. J.: Wintertime trace metal (Zn, Cu, Ni, Cd, Pb and Co) and
nutrient distributions in the Subantarctic Zone between 40–52∘ S;
155–160∘ E, Mar. Chem., 112, 107–117, https://doi.org/10.1016/j.marchem.2008.07.008, 2008.
Ellwood, M. J. and Hunter, K. A.: The incorporation of zinc and iron into
the frustule of the marine diatom Thalassiosira pseudonana, Limnol.
Oceanogr., 45, 1517–1524, https://doi.org/10.4319/lo.2000.45.7.1517, 2000.
Ellwood, M. J., Strzepek, R., Chen, X., Trull, T. W., and Boyd, P. W.: Some
observations on the biogeochemical cycling of zinc in the Australian sector
of the Southern Ocean: a dedication to Keith Hunter, Mar. Freshwater
Res., 71, 355–373, https://doi.org/10.1071/mf19200, 2020.
Evans, G. T.: Defining misfit between biogeochemical models and data sets,
J. Mar. Syst. 40/41, 49–54, https://doi.org/10.1016/S0924-7963(03)00012-5, 2003.
Falls, M., Bernardello, R., Castrillo, M., Acosta, M., Llort, J., and Galí, M.: Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon, Geosci. Model Dev., 15, 5713–5737, https://doi.org/10.5194/gmd-15-5713-2022, 2022.
Field, C. B., Behrenfeld, M. J., Randerson, J. T., and Falkowski, P.:
Primary Production of the Biosphere: Integrating Terrestrial and Oceanic
Components, Science,
281, 237–240, https://doi.org/10.1126/science.281.5374.237, 1998.
Frants, M., Holzer, M., DeVries, T., and Matear, R.: Constraints on the
global marine iron cycle from a simple inverse model, J. Geophys.
Res.-Biogeo., 121, 28–51, https://doi.org/10.1002/2015jg003111, 2016.
Friedrichs, M. A. M., Hood, R. R., and Wiggert, J. D.: Ecosystem model
complexity versus physical forcing: Quantification of their relative impact
with assimilated Arabian Sea data, Deep-Sea Res. Pt. II, 53, 576–600, https://doi.org/10.1016/j.dsr2.2006.01.026, 2006.
Friedrichs, M. A. M., Dusenberry, J. A., Anderson, L. A., Armstrong, R. A.,
Chai, F., Christian, J. R., Doney, S. C., Dunne, J., Fujii, M., Hood, R.,
McGillicuddy, D. J., Moore, J. K., Schartau, M., Spitz, Y. H., and Wiggert,
J. D.: Assessment of skill and portability in regional marine biogeochemical
models: Role of multiple planktonic groups, J. Geophys. Res.,
112, C08001, https://doi.org/10.1029/2006jc003852, 2007.
Garcia, H., Weathers, K., Paver, C., Smolyar, I., Boyer, T., Locarnini, R.,
Zweng, M., Mishonov, A., Baranova, O., Seidov, D., and Reagan, J.: NOAA
Atlas NESDIS 84 WORLD OCEAN ATLAS 2018, Vol. 4, Dissolved Inorganic
Nutrients (phosphate, nitrate and nitrate + nitrite, silicate) NOAA National
Centers for Environmental Information WORLD OCEAN ATLAS 2018, Vol. 4,
Dissolved Inorganic Nutrients (phosphate, nitrate and nitrate + nitrite,
silicate), A. Mishonov Technical Ed., Silver Spring, 2019.
Hansen, N.: The CMA Evolution Strategy: A Comparing Review, in: Towards a
New Evolutionary Computation: Advances in the Estimation of Distribution
Algorithms, edited by: Lozano, J. A., Larrañaga, P., Inza, I., and
Bengoetxea, E., Springer Berlin Heidelberg, Berlin, Heidelberg, 75–102,
https://doi.org/10.1007/3-540-32494-1_4, 2006.
Hansen, N.: Benchmarking a BI-population CMA-ES on the BBOB-2009 function
testbed, in: Proceedings of the 11th Annual Conference Companion on Genetic and
Evolutionary Computation Conference: Late Breaking Papers, GECCO 2009, Montreal,
Québec, Canada, 8–12 July 2009, 2389–2396, https://doi.org/10.1145/1570256.1570333, 2009.
Hansen, N.: The CMA Evolution Strategy: A Tutorial, https://doi.org/10.48550/arXiv.1604.00772, 2016.
Hansen, N. and Kern, S.: Evaluating the CMA Evolution Strategy on Multimodal
Test Functions, in: Parallel Problem Solving from Nature PPSN VIII, edited by: Yao, X., Burke, E. K., Lozano, J. A., Smith, J., Merelo Guervós, J. J., Bullinaria, J. A., Rowe, J. E., Tiño, P., Kabán, A., and Schwefel, H.-P., LNCS, Springer, 3242, 282–291, https://doi.org/10.1007/978-3-540-30217-9_29, 2004.
Hansen, N. and Ostermeier, A.: Completely Derandomized Self-Adaptation in
Evolution Strategies, Evol. Comput., 9, 159–195, https://doi.org/10.1162/106365601750190398, 2001.
Hansen, N., Niederberger, A. S. P., Guzzella, L., and Koumoutsakos, P.: A
Method for Handling Uncertainty in Evolutionary Optimization With an
Application to Feedback Control of Combustion, IEEE Trans.
Evolut. Comput., 13, 180–197, https://doi.org/10.1109/TEVC.2008.924423, 2009.
Hansen, N., Auger, A., Ros, R., Finck, S., and Pošík, P.: Comparing
results of 31 algorithms from the black-box optimization benchmarking
BBOB-2009, in: Proceedings of the 12th annual conference companion on Genetic
and evolutionary computation, GECCO 2010, Portland, Oregon, USA, 7–11 July 2010, 1689–1696, https://doi.org/10.1145/1830761.1830790, 2010.
Janssen, D. J. and Cullen, J. T.: Decoupling of zinc and silicic acid in the
subarctic northeast Pacific interior, Mar. Chem., 177, 124–133,
https://doi.org/10.1016/j.marchem.2015.03.014, 2015.
John, S. G. and Conway, T. M.: A role for scavenging in the marine
biogeochemical cycling of zinc and zinc isotopes, Earth Planet.
Sc. Lett., 394, 159–167, https://doi.org/10.1016/j.epsl.2014.02.053, 2014.
Khatiwala, S.: A computational framework for simulation of biogeochemical
tracers in the ocean, Global Biogeochem. Cy., 21, GB3001,
https://doi.org/10.1029/2007GB002923, 2007.
Khatiwala, S.: Fast spin up of Ocean biogeochemical models using matrix-free
Newton–Krylov, Ocean Model., 23, 121–129, https://doi.org/10.1016/j.ocemod.2008.05.002, 2008.
Khatiwala, S.: Transport Matrix Method software for ocean biogeochemical
simulations (2.0), Zenodo [code], https://doi.org/10.5281/zenodo.1246300, 2018.
Khatiwala, S., Visbeck, M., and Cane, M. A.: Accelerated simulation of
passive tracers in ocean circulation models, Ocean Model., 9,
51–69, https://doi.org/10.1016/j.ocemod.2004.04.002, 2005.
Kim, T., Obata, H., Kondo, Y., Ogawa, H., and Gamo, T.: Distribution and
speciation of dissolved zinc in the western North Pacific and its adjacent
seas, Mar. Chem., 173, 330–341, https://doi.org/10.1016/j.marchem.2014.10.016, 2015.
Kriest, I.: Calibration of a simple and a complex model of global marine
biogeochemistry, Biogeosciences, 14, 4965–4984, https://doi.org/10.5194/bg-14-4965-2017, 2017.
Kriest, I., Sauerland, V., Khatiwala, S., Srivastav, A., and Oschlies, A.:
Calibrating a global three-dimensional biogeochemical ocean model
(MOPS-1.0), Geosci. Model Dev., 10, 127–154, https://doi.org/10.5194/gmd-10-127-2017, 2017.
Kriest, I., Kähler, P., Koeve, W., Kvale, K., Sauerland, V., and
Oschlies, A.: One size fits all? Calibrating an ocean biogeochemistry model
for different circulations, Biogeosciences, 17, 3057–3082,
https://doi.org/10.5194/bg-17-3057-2020, 2020.
Kwon, E. Y., Holzer, M., Timmermann, A., and Primeau, F.: Estimating
Three-Dimensional Carbon-To-Phosphorus Stoichiometry of Exported Marine
Organic Matter, Global Biogeochem. Cy., 36, e2021GB007154, https://doi.org/10.1029/2021GB007154, 2022.
Lemaitre, N., de Souza, G. F., Archer, C., Wang, R.-M., Planquette, H.,
Sarthou, G., and Vance, D.: Pervasive sources of isotopically light zinc in
the North Atlantic Ocean, Earth Planet. Sc. Lett., 539, 116216,
https://doi.org/10.1016/j.epsl.2020.116216, 2020.
Liao, W. H., Takano, S., Yang, S. C., Huang, K. F., Sohrin, Y., and Ho, T.
Y.: Zn Isotope Composition in the Water Column of the Northwestern Pacific
Ocean: The Importance of External Sources, Global Biogeochem. Cy., 34, e2019GB006379,
https://doi.org/10.1029/2019GB006379, 2020.
Lohan, M. C., Crawford, D. W., Purdie, D. A., and Statham, P. J.: Iron and
zinc enrichments in the northeastern subarctic Pacific: Ligand production
and zinc availability in response to phytoplankton growth, Limnol.
Oceanogr., 50, 1427–1437, https://doi.org/10.4319/lo.2005.50.5.1427, 2005.
Löptien, U. and Dietze, H.: Constraining parameters in marine pelagic
ecosystem models – is it actually feasible with typical observations of
standing stocks?, Ocean Sci., 11, 573–590, https://doi.org/10.5194/os-11-573-2015, 2015.
Löptien, U. and Dietze, H.: Reciprocal bias compensation and ensuing
uncertainties in model-based climate projections: pelagic biogeochemistry
versus ocean mixing, Biogeosciences, 16, 1865–1881, https://doi.org/10.5194/bg-16-1865-2019, 2019.
Lynch, D. R., McGillicuddy, D. J., and Werner, F. E.: Skill assessment for
coupled biological/physical models of marine systems, J. Mar.
Syst., 76, 1–3, https://doi.org/10.1016/j.jmarsys.2008.05.002, 2009.
Marinov, I., Gnanadesikan, A., Toggweiler, J. R., and Sarmiento, J. L.: The
Southern Ocean biogeochemical divide, Nature, 441, 964–967, https://doi.org/10.1038/nature04883, 2006.
Marsay, C. M., Sanders, R. J., Henson, S. A., Pabortsava, K., Achterberg, E.
P., and Lampitt, R. S.: Attenuation of sinking particulate organic carbon
flux through the mesopelagic ocean, P. Natl. Acad.
Sci. USA, 112, 1089–1094, https://doi.org/10.1073/pnas.1415311112, 2015.
Marshall, J., Adcroft, A., Hill, C., Perelman, L., and Heisey, C.: A
finite-volume, incompressible Navier Stokes model for studies of the ocean
on parallel computers, J. Geophys. Res.-Ocean., 102,
5753–5766, https://doi.org/10.1029/96JC02775, 1997.
Martin, J. H., Knauer, G. A., Karl, D. M., and Broenkow, W. W.: VERTEX:
carbon cycling in the northeast Pacific, Deep-Sea Res. Pt. A, 34, 267–285, https://doi.org/10.1016/0198-0149(87)90086-0, 1987.
Middag, R., de Baar, H. J. W., and Bruland, K. W.: The Relationships Between
Dissolved Zinc and Major Nutrients Phosphate and Silicate Along the
GEOTRACES GA02 Transect in the West Atlantic Ocean, Global Biogeochem.
Cy., 33, 63–84, https://doi.org/10.1029/2018gb006034, 2019.
Moore, C. M., Mills, M. M., Arrigo, K. R., Berman-Frank, I., Bopp, L., Boyd,
P. W., Galbraith, E. D., Geider, R. J., Guieu, C., Jaccard, S. L., Jickells,
T. D., La Roche, J., Lenton, T. M., Mahowald, N. M., Maranon, E., Marinov,
I., Moore, J. K., Nakatsuka, T., Oschlies, A., Saito, M. A., Thingstad, T.
F., Tsuda, A., and Ulloa, O.: Processes and patterns of oceanic nutrient
limitation, Nat. Geosci., 6, 701–710, https://doi.org/10.1038/NGEO1765, 2013.
Morel, F. M. M. and Price, N. M.: The Biogeochemical Cycles of Trace Metals
in the Oceans, Science, 300, 944–947, https://doi.org/10.1126/science.1083545, 2003.
Morel, F. M. M., Milligan, A. J., and Saito, M. A.: Marine Bioinorganic
Chemistry: The Role of Trace Metals in the Oceanic Cycles of Major
Nutrients, in: Treatise on Geochemistry, edited by: Holland, H. D. and Turekian, K. K, Treatise on Geochemistry, 2nd Edn., Oxford, Elsevier, 123–150, https://doi.org/10.1016/b978-0-08-095975-7.00605-7, 2014.
Najjar, R. G., Jin, X., Louanchi, F., Aumont, O., Caldeira, K., Doney, S.
C., Dutay, J. C., Follows, M., Gruber, N., Joos, F., Lindsay, K.,
Maier-Reimer, E., Matear, R. J., Matsumoto, K., Monfray, P., Mouchet, A.,
Orr, J. C., Plattner, G. K., Sarmiento, J. L., Schlitzer, R., Slater, R. D.,
Weirig, M. F., Yamanaka, Y., and Yool, A.: Impact of circulation on export
production, dissolved organic matter, and dissolved oxygen in the ocean:
Results from Phase II of the Ocean Carbon-cycle Model Intercomparison
Project (OCMIP-2), Global Biogeochem. Cy., 21, GB3007, https://doi.org/10.1029/2006GB002857, 2007.
Oliver, S. and Tett, S.: OPTCLIMSO Optimisation Framework, Zenodo [code],
https://doi.org/10.5281/zenodo.5517610, 2021.
Oliver, S., Cartis, C., Kriest, I., Tett, S. F. B., and Khatiwala, S.: A
derivative-free optimisation method for global ocean biogeochemical models,
Geosci. Model Dev., 15, 3537–3554, https://doi.org/10.5194/gmd-15-3537-2022, 2022.
Pasquier, B., Hines, S. K. V., Liang, H., Wu, Y., Goldstein, S. L., and
John, S. G.: GNOM v1.0: an optimized steady-state model of the modern marine
neodymium cycle, Geosci. Model Dev., 15, 4625–4656, https://doi.org/10.5194/gmd-15-4625-2022, 2022.
Primeau, F. W., Holzer, M., and DeVries, T.: Southern Ocean nutrient
trapping and the efficiency of the biological pump, J. Geophys.
Res.-Ocean., 118, 2547–2564, https://doi.org/10.1002/jgrc.20181, 2013.
Richon, C. and Tagliabue, A.: Insights Into the Major Processes Driving the
Global Distribution of Copper in the Ocean From a Global Model, Global
Biogeochem. Cy., 33, 1594–1610, https://doi.org/10.1029/2019GB006280, 2019.
Roshan, S., Wu, J., and Jenkins, W. J.: Long-range transport of hydrothermal
dissolved Zn in the tropical South Pacific, Mar. Chem., 183, 25–32,
https://doi.org/10.1016/j.marchem.2016.05.005, 2016.
Roshan, S., DeVries, T., Wu, J., and Chen, G.: The Internal Cycling of Zinc
in the Ocean, Global Biogeochem. Cy., 32, 1833–1849, https://doi.org/10.1029/2018GB006045, 2018.
Roshan, S., DeVries, T., Wu, J., John, S., and Weber, T.: Reversible
scavenging traps hydrothermal iron in the deep ocean, Earth Planet.
Sc. Lett., 542, 116297, https://doi.org/10.1016/j.epsl.2020.116297, 2020.
Sarmiento, J. L., Gruber, N., Brzezinski, M. A., and Dunne, J. P.:
High-latitude controls of thermocline nutrients and low latitude biological
productivity, Nature, 427, 56–60, https://doi.org/10.1038/nature02127, 2004.
Sarmiento, J. L., Simeon, J., Gnanadesikan, A., Gruber, N., Key, R. M., and
Schlitzer, R.: Deep ocean biogeochemistry of silicic acid and nitrate,
Global Biogeochem. Cy., 21, GB1S90, https://doi.org/10.1029/2006GB002720, 2007.
Sauerland, V., Kriest, I., Oschlies, A., and Srivastav, A.: Multiobjective
Calibration of a Global Biogeochemical Ocean Model Against Nutrients,
Oxygen, and Oxygen Minimum Zones, J. Adv. Model. Earth
Syst., 11, 1285–1308, https://doi.org/10.1029/2018MS001510, 2019.
Schartau, M., Oschlies, A., and Willebrand, J.: Parameter estimates of a
zero-dimensional ecosystem model applying the adjoint method, Deep-Sea
Res. Pt. II, 48, 1769–1800, https://doi.org/10.1016/S0967-0645(00)00161-2, 2001.
Seegers, B. N., Stumpf, R. P., Schaeffer, B. A., Loftin, K. A., and Werdell,
P. J.: Performance metrics for the assessment of satellite data products: an
ocean color case study, Opt. Express, 26, 7404–7422, https://doi.org/10.1364/OE.26.007404, 2018.
Shaked, Y., Xu, Y., Leblanc, K., and Morel, F. M. M.: Zinc availability and
alkaline phosphatase activity in Emiliania huxleyi: Implications for Zn-P
co-limitation in the ocean, Limnol. Oceanogr., 51, 299–309,
https://doi.org/10.4319/lo.2006.51.1.0299, 2006.
Sieber, M., Conway, T. M., de Souza, G. F., Hassler, C. S., Ellwood, M. J.,
and Vance, D.: Cycling of zinc and its isotopes across multiple zones of the
Southern Ocean: Insights from the Antarctic Circumnavigation Expedition,
Geochim. Cosmochim. Ac., 268, 310–324, https://doi.org/10.1016/j.gca.2019.09.039, 2020.
Sinha, B., Buitenhuis, E. T., Quéré, C. L., and Anderson, T. R.:
Comparison of the emergent behavior of a complex ecosystem model in two
ocean general circulation models, Prog. Oceanogr., 84, 204–224,
https://doi.org/10.1016/j.pocean.2009.10.003, 2010.
Sinoir, M., Ellwood, M. J., Butler, E. C. V., Bowie, A. R., Mongin, M., and
Hassler, C. S.: Zinc cycling in the Tasman Sea: Distribution, speciation and
relation to phytoplankton community, Mar. Chem., 182, 25–37,
https://doi.org/10.1016/j.marchem.2016.03.006, 2016.
Stammer, D., Ueyoshi, K., Köhl, A., Large, W. G., Josey, S. A., and
Wunsch, C.: Estimating air-sea fluxes of heat, freshwater, and momentum
through global ocean data assimilation, J. Geophys. Res.-Ocean., 109, C05023, https://doi.org/10.1029/2003JC002082, 2004.
Stow, C. A., Jolliff, J., McGillicuddy, D. J., Doney, S. C., Allen, J. I.,
Friedrichs, M. A. M., Rose, K. A., and Wallhead, P.: Skill assessment for
coupled biological/physical models of marine systems, J. Mar.
Syst., 76, 4–15, https://doi.org/10.1016/j.jmarsys.2008.03.011, 2009.
Sugino, K. and Oka, A.: Zinc and silicon biogeochemical decoupling in the
North Pacific Ocean, J. Oceanogr., C05023, https://doi.org/10.1007/s10872-022-00663-4, 2022.
Sunda, W. G. and Huntsman, S. A.: Feedback interactions between zinc and
phytoplankton in seawater, Limnol. Oceanogr., 37, 25–40, https://doi.org/10.4319/lo.1992.37.1.0025, 1992.
Tagliabue, A., Bowie, A. R., Boyd, P. W., Buck, K. N., Johnson, K. S., and
Saito, M. A.: The integral role of iron in ocean biogeochemistry, Nature, 543, 51–59, https://doi.org/10.1038/nature21058, 2017.
Tagliabue, A., Bowie, A. R., DeVries, T., Ellwood, M. J., Landing, W. M.,
Milne, A., Ohnemus, D. C., Twining, B. S., and Boyd, P. W.: The interplay
between regeneration and scavenging fluxes drives ocean iron cycling, Nat.
Commun., 10, 4960–4960, https://doi.org/10.1038/s41467-019-12775-5, 2019.
Taylor, K. E.: Summarizing multiple aspects of model performance in a single
diagram, J. Geophys. Res.-Atmos., 106, 7183–7192,
https://doi.org/10.1029/2000JD900719, 2001.
Tett, S. F. B., Rowlands, D. J., Mineter, M. J., and Cartis, C.: Can
Top-of-Atmosphere Radiation Measurements Constrain Climate Predictions? Part
II: Climate Sensitivity, J. Clim., 26, 9367–9383, https://doi.org/10.1175/JCLI-D-12-00596.1, 2013.
Thiele, G. and Sarmiento, J. L.: Tracer dating and ocean ventilation,
J. Geophys. Res.-Ocean., 95, 9377–9391, https://doi.org/10.1029/JC095iC06p09377, 1990.
Tjiputra, J. F., Polzin, D., and Winguth, A. M. E.: Assimilation of seasonal
chlorophyll and nutrient data into an adjoint three-dimensional ocean carbon
cycle model: Sensitivity analysis and ecosystem parameter optimization,
Global Biogeochem. Cy., 21, GB1001, https://doi.org/10.1029/2006GB002745, 2007.
Trudinger, C. M., Raupach, M. R., Rayner, P. J., Kattge, J., Liu, Q., Pak,
B., Reichstein, M., Renzullo, L., Richardson, A. D., Roxburgh, S. H.,
Styles, J., Wang, Y. P., Briggs, P., Barrett, D., and Nikolova, S.: OptIC
project: An intercomparison of optimization techniques for parameter
estimation in terrestrial biogeochemical models, J. Geophys.
Res.-Biogeo., 112, G02027, https://doi.org/10.1029/2006JG000367, 2007.
Twining, B. S. and Baines, S. B.: The Trace Metal Composition of Marine
Phytoplankton, Ann. Rev. Mar. Sci., 5, 191–215, https://doi.org/10.1146/annurev-marine-121211-172322, 2013.
Twining, B. S., Baines, S. B., Fisher, N. S., Maser, J., Vogt, S., Jacobsen,
C., Tovar-Sanchez, A., and Sañudo-Wilhelmy, S. A.: Quantifying Trace
Elements in Individual Aquatic Protist Cells with a Synchrotron X-ray
Fluorescence Microprobe, Anal. Chem, 75, 3806–3816,
https://doi.org/10.1021/ac034227z, 2003.
Twining, B. S., Nodder, S. D., King, A. L., Hutchins, D. A., LeCleir, G. R.,
DeBruyn, J. M., Maas, E. W., Vogt, S., Wilhelm, S. W., and Boyd, P. W.:
Differential remineralization of major and trace elements in sinking
diatoms, Limnol. Oceanogr., 59, 689–704, https://doi.org/10.4319/lo.2014.59.3.0689, 2014.
van Hulten, M., Middag, R., Dutay, J.-C., de Baar, H., Roy-Barman, M.,
Gehlen, M., Tagliabue, A., and Sterl, A.: Manganese in the west Atlantic
Ocean in the context of the first global ocean circulation model of
manganese, Biogeosciences, 14, 1123–1152, https://doi.org/10.5194/bg-14-1123-2017, 2017.
Vance, D., de Souza, G. F., Zhao, Y., Cullen, J. T., and Lohan, M. C.: The
relationship between zinc, its isotopes, and the major nutrients in the
North-East Pacific, Earth Planet. Sc. Lett., 525, 115748,
https://doi.org/10.1016/j.epsl.2019.115748, 2019.
Vance, D., Little, Susan H., de Souza, Gregory F., Khatiwala, S., Lohan,
Maeve C., and Middag, R.: Silicon and zinc biogeochemical cycles coupled
through the Southern Ocean, Nat. Geosci., 10, 202–206, https://doi.org/10.1038/ngeo2890, 2017.
Wang, R. M., Archer, C., Bowie, A. R., and Vance, D.: Zinc and nickel
isotopes in seawater from the Indian Sector of the Southern Ocean: The
impact of natural iron fertilization versus Southern Ocean hydrography and
biogeochemistry, Chem. Geol., 511, 452–464, https://doi.org/10.1016/j.chemgeo.2018.09.010, 2019.
Ward, B. A., Friedrichs, M. A. M., Anderson, T. R., and Oschlies, A.:
Parameter optimisation techniques and the problem of underdetermination in
marine biogeochemical models, J. Mar. Syst., 81, 34–43,
https://doi.org/10.1016/j.jmarsys.2009.12.005, 2010.
Weber, T., John, S., Tagliabue, A., and DeVries, T.: Biological uptake and
reversible scavenging of zinc in the global ocean, Science, 361, 72–76, https://doi.org/10.1126/science.aap8532, 2018.
Weber, T., Cram, J. A., Leung, S. W., DeVries, T., and Deutsch, C.: Deep
ocean nutrients imply large latitudinal variation in particle transfer
efficiency, P. Natl. Acad. Sci. USA, 113,
8606–8611, https://doi.org/10.1073/pnas.1604414113, 2016.
Wunsch, C. and Heimbach, P.: Practical global oceanic state estimation,
Physica D, 230, 197–208, https://doi.org/10.1016/j.physd.2006.09.040, 2007.
Wunsch, C. and Heimbach, P.: How long to oceanic tracer and proxy
equilibrium?, Quaternary Sci. Rev., 27, 637–651, https://doi.org/10.1016/j.quascirev.2008.01.006, 2008.
Short summary
Given the sparsity of observational constraints on micronutrients such as zinc (Zn), we assess the sensitivities of a framework for objective parameter optimisation in an oceanic Zn cycling model. Our ensemble of optimisations towards synthetic data with varying kinds of uncertainty shows that deficiencies related to model complexity and the choice of the misfit function generally have a greater impact on the retrieval of model Zn uptake behaviour than does the limitation of data coverage.
Given the sparsity of observational constraints on micronutrients such as zinc (Zn), we assess...
Altmetrics
Final-revised paper
Preprint