Articles | Volume 17, issue 4
https://doi.org/10.5194/bg-17-1199-2020
© Author(s) 2020. 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-17-1199-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Mar 2020
Research article |
| 03 Mar 2020
| 03 Mar 2020
Simulation of factors affecting Emiliania huxleyi blooms in Arctic and sub-Arctic seas by CMIP5 climate models: model validation and selection
Natalia Gnatiuk
CORRESPONDING AUTHOR
Nansen International Environmental and Remote Sensing Centre, St.
Petersburg, 199034, Russia
Iuliia Radchenko
Nansen International Environmental and Remote Sensing Centre, St.
Petersburg, 199034, Russia
Richard Davy
Nansen Environmental and Remote Sensing Center, Bergen, 5006, Norway
Evgeny Morozov
Nansen International Environmental and Remote Sensing Centre, St.
Petersburg, 199034, Russia
Leonid Bobylev
Nansen International Environmental and Remote Sensing Centre, St.
Petersburg, 199034, Russia
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Detailed climate data are needed to assess the impact of climate change on human and natural systems. The performance of two high-resolution regional climate models, ALARO-0 and REMO2015, was investigated over central Asia, a vulnerable region where detailed climate information is scarce. In certain subregions the produced climate data are suitable for impact studies, but bias adjustment is required for subregions where significant biases have been identified.
Tian Tian, Richard Davy, Leandro Ponsoni, and Shuting Yang
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Stephen Outten, Camille Li, Martin P. King, Lingling Suo, Peter Y. F. Siew, Hoffman Cheung, Richard Davy, Etienne Dunn-Sigouin, Tore Furevik, Shengping He, Erica Madonna, Stefan Sobolowski, Thomas Spengler, and Tim Woollings
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Strong disagreement exists in the scientific community over the role of Arctic sea ice in shaping wintertime Eurasian cooling. The observed Eurasian cooling can arise naturally without sea-ice loss but is expected to be a rare event. We propose a framework that incorporates sea-ice retreat and natural variability as contributing factors. A helpful analogy is of a dice roll that may result in cooling, warming, or anything in between, with sea-ice loss acting to load the dice in favour of cooling.
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Sara Top, Lola Kotova, Lesley De Cruz, Svetlana Aniskevich, Leonid Bobylev, Rozemien De Troch, Natalia Gnatiuk, Anne Gobin, Rafiq Hamdi, Arne Kriegsmann, Armelle Reca Remedio, Abdulla Sakalli, Hans Van De Vyver, Bert Van Schaeybroeck, Viesturs Zandersons, Philippe De Maeyer, Piet Termonia, and Steven Caluwaerts
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Valeria Selyuzhenok, Igor Bashmachnikov, Robert Ricker, Anna Vesman, and Leonid Bobylev
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I. Esau, R. Davy, S. Outten, S. Tyuryakov, and S. Zilitinkevich
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Related subject area
Earth System Science/Response to Global Change: Climate Change
Effect of terrestrial nutrient limitation on the estimation of the remaining carbon budget
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Ocean alkalinity enhancement approaches and the predictability of runaway precipitation processes: results of an experimental study to determine critical alkalinity ranges for safe and sustainable application scenarios
Variations of polyphenols and carbohydrates of Emiliania huxleyi grown under simulated ocean acidification conditions
Global and regional hydrological impacts of global forest expansion
The biological and preformed carbon pumps in perpetually slower and warmer oceans
The Southern Ocean as the climate's freight train – driving ongoing global warming under zero-emission scenarios with ACCESS-ESM1.5
Mapping the future afforestation distribution of China constrained by a national afforestation plan and climate change
Southern Ocean phytoplankton under climate change: a shifting balance of bottom-up and top-down control
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Biogeosciences, 21, 4809–4835, https://doi.org/10.5194/bg-21-4809-2024, https://doi.org/10.5194/bg-21-4809-2024, 2024
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Niels Suitner, Giulia Faucher, Carl Lim, Julieta Schneider, Charly A. Moras, Ulf Riebesell, and Jens Hartmann
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Biogeosciences, 21, 4381–4394, https://doi.org/10.5194/bg-21-4381-2024, https://doi.org/10.5194/bg-21-4381-2024, 2024
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James A. King, James Weber, Peter Lawrence, Stephanie Roe, Abigail L. S. Swann, and Maria Val Martin
Biogeosciences, 21, 3883–3902, https://doi.org/10.5194/bg-21-3883-2024, https://doi.org/10.5194/bg-21-3883-2024, 2024
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Benoît Pasquier, Mark Holzer, and Matthew A. Chamberlain
Biogeosciences, 21, 3373–3400, https://doi.org/10.5194/bg-21-3373-2024, https://doi.org/10.5194/bg-21-3373-2024, 2024
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How do perpetually slower and warmer oceans sequester carbon? Compared to the preindustrial state, we find that biological productivity declines despite warming-stimulated growth because of a lower nutrient supply from depth. This throttles the biological carbon pump, which still sequesters more carbon because it takes longer to return to the surface. The deep ocean is isolated from the surface, allowing more carbon from the atmosphere to pass through the ocean without contributing to biology.
Matthew A. Chamberlain, Tilo Ziehn, and Rachel M. Law
Biogeosciences, 21, 3053–3073, https://doi.org/10.5194/bg-21-3053-2024, https://doi.org/10.5194/bg-21-3053-2024, 2024
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This paper explores the climate processes that drive increasing global average temperatures in zero-emission commitment (ZEC) simulations despite decreasing atmospheric CO2. ACCESS-ESM1.5 shows the Southern Ocean to continue to warm locally in all ZEC simulations. In ZEC simulations that start after the emission of more than 1000 Pg of carbon, the influence of the Southern Ocean increases the global temperature.
Shuaifeng Song, Xuezhen Zhang, and Xiaodong Yan
Biogeosciences, 21, 2839–2858, https://doi.org/10.5194/bg-21-2839-2024, https://doi.org/10.5194/bg-21-2839-2024, 2024
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We mapped the distribution of future potential afforestation regions based on future high-resolution climate data and climate–vegetation models. After considering the national afforestation policy and climate change, we found that the future potential afforestation region was mainly located around and to the east of the Hu Line. This study provides a dataset for exploring the effects of future afforestation.
Tianfei Xue, Jens Terhaar, A. E. Friederike Prowe, Thomas L. Frölicher, Andreas Oschlies, and Ivy Frenger
Biogeosciences, 21, 2473–2491, https://doi.org/10.5194/bg-21-2473-2024, https://doi.org/10.5194/bg-21-2473-2024, 2024
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Phytoplankton play a crucial role in marine ecosystems. However, climate change's impact on phytoplankton biomass remains uncertain, particularly in the Southern Ocean. In this region, phytoplankton biomass within the water column is likely to remain stable in response to climate change, as supported by models. This stability arises from a shallower mixed layer, favoring phytoplankton growth but also increasing zooplankton grazing due to phytoplankton concentration near the surface.
Kinga Kulesza and Agata Hościło
Biogeosciences, 21, 2509–2527, https://doi.org/10.5194/bg-21-2509-2024, https://doi.org/10.5194/bg-21-2509-2024, 2024
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We present coherence and time lags in spectral response of three vegetation types in the European temperate zone to the influencing meteorological factors and teleconnection indices for the period 2002–2022. Vegetation condition in broadleaved forest, coniferous forest and pastures was measured with MODIS NDVI and EVI, and the coherence between NDVI and EVI and meteorological elements was described using the methods of wavelet coherence and Pearson’s linear correlation with time lag.
Anton Lokshin, Daniel Palchan, and Avner Gross
Biogeosciences, 21, 2355–2365, https://doi.org/10.5194/bg-21-2355-2024, https://doi.org/10.5194/bg-21-2355-2024, 2024
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Ash particles from wildfires are rich in phosphorus (P), a crucial nutrient that constitutes a limiting factor in 43 % of the world's land ecosystems. We hypothesize that wildfire ash could directly contribute to plant nutrition. We find that fire ash application boosts the growth of plants, but the only way plants can uptake P from fire ash is through the foliar uptake pathway and not through the roots. The fertilization impact of fire ash was also maintained under elevated levels of CO2.
Nina Bednaršek, Greg Pelletier, Hanna van de Mortel, Marisol García-Reyes, Richard Feely, and Andrew Dickson
EGUsphere, https://doi.org/10.5194/egusphere-2024-947, https://doi.org/10.5194/egusphere-2024-947, 2024
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The environmental impacts of ocean alkalinity enhancement (OAE) are unknown. A conceptual framework was developed showing 40 % of species to respond positively, 20 % negatively and 40 % with neutral response upon alkalinity addition. Biological thresholds were found between 10 to 500 µmol/kg NaOH addition, emphasizing lab experiments to be conducted at lower dosages. A precautionary approach is warranted to avoid potential risks.
Mana Gharun, Ankit Shekhar, Jingfeng Xiao, Xing Li, and Nina Buchmann
EGUsphere, https://doi.org/10.5194/egusphere-2024-423, https://doi.org/10.5194/egusphere-2024-423, 2024
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In 2022, Europe's forests faced unprecedented dry conditions. Our study aimed to understand how different forest types respond to extreme drought. Using meteorological data and satellite imagery, we compared 2022 with two previous extreme years, 2003 and 2018. Despite less severe drought in 2022, forests showed a 30 % greater decline in photosynthesis compared to 2018 and 60 % more than 2003. This suggests a concerning trend of declining forest resilience to more frequent droughts.
Marcus Breil, Vanessa K. M. Schneider, and Joaquim G. Pinto
Biogeosciences, 21, 811–824, https://doi.org/10.5194/bg-21-811-2024, https://doi.org/10.5194/bg-21-811-2024, 2024
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The general impact of afforestation on the regional climate conditions in Europe during the period 1986–2015 is investigated. For this purpose, a regional climate model simulation is performed, in which afforestation during this period is considered, and results are compared to a simulation in which this is not the case. Results show that afforestation had discernible impacts on the climate change signal in Europe, which may have mitigated the local warming trend, especially in summer in Europe.
Ali Asaadi, Jörg Schwinger, Hanna Lee, Jerry Tjiputra, Vivek Arora, Roland Séférian, Spencer Liddicoat, Tomohiro Hajima, Yeray Santana-Falcón, and Chris D. Jones
Biogeosciences, 21, 411–435, https://doi.org/10.5194/bg-21-411-2024, https://doi.org/10.5194/bg-21-411-2024, 2024
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Carbon cycle feedback metrics are employed to assess phases of positive and negative CO2 emissions. When emissions become negative, we find that the model disagreement in feedback metrics increases more strongly than expected from the assumption that the uncertainties accumulate linearly with time. The geographical patterns of such metrics over land highlight that differences in response between tropical/subtropical and temperate/boreal ecosystems are a major source of model disagreement.
Thuy Huu Nguyen, Thomas Gaiser, Jan Vanderborght, Andrea Schnepf, Felix Bauer, Anja Klotzsche, Lena Lärm, Hubert Hüging, and Frank Ewert
EGUsphere, https://doi.org/10.5194/egusphere-2023-2967, https://doi.org/10.5194/egusphere-2023-2967, 2024
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Leaf water potential was at certain thresholds which depends on soil types, water treatment, and weather conditions. In rainfed plot, the lower water availability in the stony soil resulted in less roots with a higher root tissue conductance than the silty soil. In silty soil, higher stress in the rainfed soil led to more roots with a lower root tissue conductance than in the irrigated plot. Crop responses to water stress can be opposite depending on soil water conditions that are compared.
Flora Desmet, Matthias Münnich, and Nicolas Gruber
Biogeosciences, 20, 5151–5175, https://doi.org/10.5194/bg-20-5151-2023, https://doi.org/10.5194/bg-20-5151-2023, 2023
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Ocean acidity extremes in the upper 250 m depth of the northeastern Pacific rapidly increase with atmospheric CO2 rise, which is worrisome for marine organisms that rapidly experience pH levels outside their local environmental conditions. Presented research shows the spatiotemporal heterogeneity in this increase between regions and depths. In particular, the subsurface increase is substantially slowed down by the presence of mesoscale eddies, often not resolved in Earth system models.
Philipp Suessle, Jan Taucher, Silvan Goldenberg, Moritz Baumann, Kristian Spilling, Andrea Noche-Ferreira, Mari Vanharanta, and Ulf Riebesell
EGUsphere, https://doi.org/10.5194/egusphere-2023-2800, https://doi.org/10.5194/egusphere-2023-2800, 2023
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Ocean alkalinity enhancement (OAE) is a negative emission technology which may alter marine communities and the particle export they drive. Here, impacts of carbonate-based OAE on the flux and attenuation of sinking particles in an oligotrophic plankton community are presented. Whilst biological parameters remained unaffected, abiotic carbonate precipitation occurred. Among counteracting OAE’s efficiency, it influenced mineral ballasting and particle sinking velocities, requiring monitoring.
Geneviève W. Elsworth, Nicole S. Lovenduski, Kristen M. Krumhardt, Thomas M. Marchitto, and Sarah Schlunegger
Biogeosciences, 20, 4477–4490, https://doi.org/10.5194/bg-20-4477-2023, https://doi.org/10.5194/bg-20-4477-2023, 2023
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Anthropogenic climate change will influence marine phytoplankton over the coming century. Here, we quantify the influence of anthropogenic climate change on marine phytoplankton internal variability using an Earth system model ensemble and identify a decline in global phytoplankton biomass variance with warming. Our results suggest that climate mitigation efforts that account for marine phytoplankton changes should also consider changes in phytoplankton variance driven by anthropogenic warming.
Olivia Haas, Iain Colin Prentice, and Sandy P. Harrison
Biogeosciences, 20, 3981–3995, https://doi.org/10.5194/bg-20-3981-2023, https://doi.org/10.5194/bg-20-3981-2023, 2023
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We quantify the impact of CO2 and climate on global patterns of burnt area, fire size, and intensity under Last Glacial Maximum (LGM) conditions using three climate scenarios. Climate change alone did not produce the observed LGM reduction in burnt area, but low CO2 did through reducing vegetation productivity. Fire intensity was sensitive to CO2 but strongly affected by changes in atmospheric dryness. Low CO2 caused smaller fires; climate had the opposite effect except in the driest scenario.
Rebecca M. Varney, Sarah E. Chadburn, Eleanor J. Burke, Simon Jones, Andy J. Wiltshire, and Peter M. Cox
Biogeosciences, 20, 3767–3790, https://doi.org/10.5194/bg-20-3767-2023, https://doi.org/10.5194/bg-20-3767-2023, 2023
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This study evaluates soil carbon projections during the 21st century in CMIP6 Earth system models. In general, we find a reduced spread of changes in global soil carbon in CMIP6 compared to the previous CMIP5 generation. The reduced CMIP6 spread arises from an emergent relationship between soil carbon changes due to change in plant productivity and soil carbon changes due to changes in turnover time. We show that this relationship is consistent with false priming under transient climate change.
Claudia Hinrichs, Peter Köhler, Christoph Völker, and Judith Hauck
Biogeosciences, 20, 3717–3735, https://doi.org/10.5194/bg-20-3717-2023, https://doi.org/10.5194/bg-20-3717-2023, 2023
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This study evaluated the alkalinity distribution in 14 climate models and found that most models underestimate alkalinity at the surface and overestimate it in the deeper ocean. It highlights the need for better understanding and quantification of processes driving alkalinity distribution and calcium carbonate dissolution and the importance of accounting for biases in model results when evaluating potential ocean alkalinity enhancement experiments.
Yonghong Zheng, Huanfeng Shen, Rory Abernethy, and Rob Wilson
Biogeosciences, 20, 3481–3490, https://doi.org/10.5194/bg-20-3481-2023, https://doi.org/10.5194/bg-20-3481-2023, 2023
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Investigations in central and western China show that tree ring inverted latewood intensity expresses a strong positive relationship with growing-season temperatures, indicating exciting potential for regions south of 30° N that are traditionally not targeted for temperature reconstructions. Earlywood BI also shows good potential to reconstruct hydroclimate parameters in some humid areas and will enhance ring-width-based hydroclimate reconstructions in the future.
Stefano Potter, Sol Cooperdock, Sander Veraverbeke, Xanthe Walker, Michelle C. Mack, Scott J. Goetz, Jennifer Baltzer, Laura Bourgeau-Chavez, Arden Burrell, Catherine Dieleman, Nancy French, Stijn Hantson, Elizabeth E. Hoy, Liza Jenkins, Jill F. Johnstone, Evan S. Kane, Susan M. Natali, James T. Randerson, Merritt R. Turetsky, Ellen Whitman, Elizabeth Wiggins, and Brendan M. Rogers
Biogeosciences, 20, 2785–2804, https://doi.org/10.5194/bg-20-2785-2023, https://doi.org/10.5194/bg-20-2785-2023, 2023
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Here we developed a new burned-area detection algorithm between 2001–2019 across Alaska and Canada at 500 m resolution. We estimate 2.37 Mha burned annually between 2001–2019 over the domain, emitting 79.3 Tg C per year, with a mean combustion rate of 3.13 kg C m−2. We found larger-fire years were generally associated with greater mean combustion. The burned-area and combustion datasets described here can be used for local- to continental-scale applications of boreal fire science.
V. Rachel Chimuka, Claude-Michel Nzotungicimpaye, and Kirsten Zickfeld
Biogeosciences, 20, 2283–2299, https://doi.org/10.5194/bg-20-2283-2023, https://doi.org/10.5194/bg-20-2283-2023, 2023
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We propose a new method to quantify carbon cycle feedbacks under negative CO2 emissions. Our method isolates the lagged carbon cycle response to preceding positive emissions from the response to negative emissions. Our findings suggest that feedback parameters calculated with the novel approach are larger than those calculated with the conventional approach whereby carbon cycle inertia is not corrected for, with implications for the effectiveness of carbon dioxide removal in reducing CO2 levels.
Marcus Breil, Annabell Weber, and Joaquim G. Pinto
Biogeosciences, 20, 2237–2250, https://doi.org/10.5194/bg-20-2237-2023, https://doi.org/10.5194/bg-20-2237-2023, 2023
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A promising strategy for mitigating burdens of heat extremes in Europe is to replace dark coniferous forests with brighter deciduous forests. The consequence of this would be reduced absorption of solar radiation, which should reduce the intensities of heat periods. In this study, we show that deciduous forests have a certain cooling effect on heat period intensities in Europe. However, the magnitude of the temperature reduction is quite small.
Gesche Blume-Werry, Jonatan Klaminder, Eveline J. Krab, and Sylvain Monteux
Biogeosciences, 20, 1979–1990, https://doi.org/10.5194/bg-20-1979-2023, https://doi.org/10.5194/bg-20-1979-2023, 2023
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Northern soils store a lot of carbon. Most research has focused on how this carbon storage is regulated by cold temperatures. However, it is soil organisms, from minute bacteria to large earthworms, that decompose the organic material. Novel soil organisms from further south could increase decomposition rates more than climate change does and lead to carbon losses. We therefore advocate for including soil organisms when predicting the fate of soil functions in warming northern ecosystems.
Koramanghat Unnikrishnan Jayakrishnan and Govindasamy Bala
Biogeosciences, 20, 1863–1877, https://doi.org/10.5194/bg-20-1863-2023, https://doi.org/10.5194/bg-20-1863-2023, 2023
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Afforestation and reducing fossil fuel emissions are two important mitigation strategies to reduce the amount of global warming. Our work shows that reducing fossil fuel emissions is relatively more effective than afforestation for the same amount of carbon removed from the atmosphere. However, understanding of the processes that govern the biophysical effects of afforestation should be improved before considering our results for climate policy.
Jens Hartmann, Niels Suitner, Carl Lim, Julieta Schneider, Laura Marín-Samper, Javier Arístegui, Phil Renforth, Jan Taucher, and Ulf Riebesell
Biogeosciences, 20, 781–802, https://doi.org/10.5194/bg-20-781-2023, https://doi.org/10.5194/bg-20-781-2023, 2023
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CO2 can be stored in the ocean via increasing alkalinity of ocean water. Alkalinity can be created via dissolution of alkaline materials, like limestone or soda. Presented research studies boundaries for increasing alkalinity in seawater. The best way to increase alkalinity was found using an equilibrated solution, for example as produced from reactors. Adding particles for dissolution into seawater on the other hand produces the risk of losing alkalinity and degassing of CO2 to the atmosphere.
Damian L. Arévalo-Martínez, Amir Haroon, Hermann W. Bange, Ercan Erkul, Marion Jegen, Nils Moosdorf, Jens Schneider von Deimling, Christian Berndt, Michael Ernst Böttcher, Jasper Hoffmann, Volker Liebetrau, Ulf Mallast, Gudrun Massmann, Aaron Micallef, Holly A. Michael, Hendrik Paasche, Wolfgang Rabbel, Isaac Santos, Jan Scholten, Katrin Schwalenberg, Beata Szymczycha, Ariel T. Thomas, Joonas J. Virtasalo, Hannelore Waska, and Bradley A. Weymer
Biogeosciences, 20, 647–662, https://doi.org/10.5194/bg-20-647-2023, https://doi.org/10.5194/bg-20-647-2023, 2023
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Groundwater flows at the land–ocean transition and the extent of freshened groundwater below the seafloor are increasingly relevant in marine sciences, both because they are a highly uncertain term of biogeochemical budgets and due to the emerging interest in the latter as a resource. Here, we discuss our perspectives on future research directions to better understand land–ocean connectivity through groundwater and its potential responses to natural and human-induced environmental changes.
Morgan Sparey, Peter Cox, and Mark S. Williamson
Biogeosciences, 20, 451–488, https://doi.org/10.5194/bg-20-451-2023, https://doi.org/10.5194/bg-20-451-2023, 2023
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Accurate climate models are vital for mitigating climate change; however, projections often disagree. Using Köppen–Geiger bioclimate classifications we show that CMIP6 climate models agree well on the fraction of global land surface that will change classification per degree of global warming. We find that 13 % of land will change climate per degree of warming from 1 to 3 K; thus, stabilising warming at 1.5 rather than 2 K would save over 7.5 million square kilometres from bioclimatic change.
Huanhuan Wang, Chao Yue, and Sebastiaan Luyssaert
Biogeosciences, 20, 75–92, https://doi.org/10.5194/bg-20-75-2023, https://doi.org/10.5194/bg-20-75-2023, 2023
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This study provided a synthesis of three influential methods to quantify afforestation impact on surface temperature. Results showed that actual effect following afforestation was highly dependent on afforestation fraction. When full afforestation is assumed, the actual effect approaches the potential effect. We provided evidence the afforestation faction is a key factor in reconciling different methods and emphasized that it should be considered for surface cooling impacts in policy evaluation.
Ryan S. Padrón, Lukas Gudmundsson, Laibao Liu, Vincent Humphrey, and Sonia I. Seneviratne
Biogeosciences, 19, 5435–5448, https://doi.org/10.5194/bg-19-5435-2022, https://doi.org/10.5194/bg-19-5435-2022, 2022
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The answer to how much carbon land ecosystems are projected to remove from the atmosphere until 2100 is different for each Earth system model. We find that differences across models are primarily explained by the annual land carbon sink dependence on temperature and soil moisture, followed by the dependence on CO2 air concentration, and by average climate conditions. Our insights on why each model projects a relatively high or low land carbon sink can help to reduce the underlying uncertainty.
Julian Gutt, Stefanie Arndt, David Keith Alan Barnes, Horst Bornemann, Thomas Brey, Olaf Eisen, Hauke Flores, Huw Griffiths, Christian Haas, Stefan Hain, Tore Hattermann, Christoph Held, Mario Hoppema, Enrique Isla, Markus Janout, Céline Le Bohec, Heike Link, Felix Christopher Mark, Sebastien Moreau, Scarlett Trimborn, Ilse van Opzeeland, Hans-Otto Pörtner, Fokje Schaafsma, Katharina Teschke, Sandra Tippenhauer, Anton Van de Putte, Mia Wege, Daniel Zitterbart, and Dieter Piepenburg
Biogeosciences, 19, 5313–5342, https://doi.org/10.5194/bg-19-5313-2022, https://doi.org/10.5194/bg-19-5313-2022, 2022
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Long-term ecological observations are key to assess, understand and predict impacts of environmental change on biotas. We present a multidisciplinary framework for such largely lacking investigations in the East Antarctic Southern Ocean, combined with case studies, experimental and modelling work. As climate change is still minor here but is projected to start soon, the timely implementation of this framework provides the unique opportunity to document its ecological impacts from the very onset.
Daniel François, Adina Paytan, Olga Maria Oliveira de Araújo, Ricardo Tadeu Lopes, and Cátia Fernandes Barbosa
Biogeosciences, 19, 5269–5285, https://doi.org/10.5194/bg-19-5269-2022, https://doi.org/10.5194/bg-19-5269-2022, 2022
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Our analysis revealed that under the two most conservative acidification projections foraminifera assemblages did not display considerable changes. However, a significant decrease in species richness was observed when pH decreases to 7.7 pH units, indicating adverse effects under high-acidification scenarios. A micro-CT analysis revealed that calcified tests of Archaias angulatus were of lower density in low pH, suggesting no acclimation capacity for this species.
Leander Moesinger, Ruxandra-Maria Zotta, Robin van der Schalie, Tracy Scanlon, Richard de Jeu, and Wouter Dorigo
Biogeosciences, 19, 5107–5123, https://doi.org/10.5194/bg-19-5107-2022, https://doi.org/10.5194/bg-19-5107-2022, 2022
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The standardized vegetation optical depth index (SVODI) can be used to monitor the vegetation condition, such as whether the vegetation is unusually dry or wet. SVODI has global coverage, spans the past 3 decades and is derived from multiple spaceborne passive microwave sensors of that period. SVODI is based on a new probabilistic merging method that allows the merging of normally distributed data even if the data are not gap-free.
Rebecca M. Varney, Sarah E. Chadburn, Eleanor J. Burke, and Peter M. Cox
Biogeosciences, 19, 4671–4704, https://doi.org/10.5194/bg-19-4671-2022, https://doi.org/10.5194/bg-19-4671-2022, 2022
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Soil carbon is the Earth’s largest terrestrial carbon store, and the response to climate change represents one of the key uncertainties in obtaining accurate global carbon budgets required to successfully militate against climate change. The ability of climate models to simulate present-day soil carbon is therefore vital. This study assesses soil carbon simulation in the latest ensemble of models which allows key areas for future model development to be identified.
Laurent Bopp, Olivier Aumont, Lester Kwiatkowski, Corentin Clerc, Léonard Dupont, Christian Ethé, Thomas Gorgues, Roland Séférian, and Alessandro Tagliabue
Biogeosciences, 19, 4267–4285, https://doi.org/10.5194/bg-19-4267-2022, https://doi.org/10.5194/bg-19-4267-2022, 2022
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The impact of anthropogenic climate change on the biological production of phytoplankton in the ocean is a cause for concern because its evolution could affect the response of marine ecosystems to climate change. Here, we identify biological N fixation and its response to future climate change as a key process in shaping the future evolution of marine phytoplankton production. Our results show that further study of how this nitrogen fixation responds to environmental change is essential.
Negar Vakilifard, Richard G. Williams, Philip B. Holden, Katherine Turner, Neil R. Edwards, and David J. Beerling
Biogeosciences, 19, 4249–4265, https://doi.org/10.5194/bg-19-4249-2022, https://doi.org/10.5194/bg-19-4249-2022, 2022
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To remain within the Paris climate agreement, there is an increasing need to develop and implement carbon capture and sequestration techniques. The global climate benefits of implementing negative emission technologies over the next century are assessed using an Earth system model covering a wide range of plausible climate states. In some model realisations, there is continued warming after emissions cease. This continued warming is avoided if negative emissions are incorporated.
Marco Reale, Gianpiero Cossarini, Paolo Lazzari, Tomas Lovato, Giorgio Bolzon, Simona Masina, Cosimo Solidoro, and Stefano Salon
Biogeosciences, 19, 4035–4065, https://doi.org/10.5194/bg-19-4035-2022, https://doi.org/10.5194/bg-19-4035-2022, 2022
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Future projections under the RCP8.5 and RCP4.5 emission scenarios of the Mediterranean Sea biogeochemistry at the end of the 21st century show different levels of decline in nutrients, oxygen and biomasses and an acidification of the water column. The signal intensity is stronger under RCP8.5 and in the eastern Mediterranean. Under RCP4.5, after the second half of the 21st century, biogeochemical variables show a recovery of the values observed at the beginning of the investigated period.
Charly A. Moras, Lennart T. Bach, Tyler Cyronak, Renaud Joannes-Boyau, and Kai G. Schulz
Biogeosciences, 19, 3537–3557, https://doi.org/10.5194/bg-19-3537-2022, https://doi.org/10.5194/bg-19-3537-2022, 2022
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This research presents the first laboratory results of quick and hydrated lime dissolution in natural seawater. These two minerals are of great interest for ocean alkalinity enhancement, a strategy aiming to decrease atmospheric CO2 concentrations. Following the dissolution of these minerals, we identified several hurdles and presented ways to avoid them or completely negate them. Finally, we proceeded to various simulations in today’s oceans to implement the strategy at its highest potential.
Taraka Davies-Barnard, Sönke Zaehle, and Pierre Friedlingstein
Biogeosciences, 19, 3491–3503, https://doi.org/10.5194/bg-19-3491-2022, https://doi.org/10.5194/bg-19-3491-2022, 2022
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Biological nitrogen fixation is the largest natural input of new nitrogen onto land. Earth system models mainly represent global total terrestrial biological nitrogen fixation within observational uncertainties but overestimate tropical fixation. The model range of increase in biological nitrogen fixation in the SSP3-7.0 scenario is 3 % to 87 %. While biological nitrogen fixation is a key source of new nitrogen, its predictive power for net primary productivity in models is limited.
Niel Verbrigghe, Niki I. W. Leblans, Bjarni D. Sigurdsson, Sara Vicca, Chao Fang, Lucia Fuchslueger, Jennifer L. Soong, James T. Weedon, Christopher Poeplau, Cristina Ariza-Carricondo, Michael Bahn, Bertrand Guenet, Per Gundersen, Gunnhildur E. Gunnarsdóttir, Thomas Kätterer, Zhanfeng Liu, Marja Maljanen, Sara Marañón-Jiménez, Kathiravan Meeran, Edda S. Oddsdóttir, Ivika Ostonen, Josep Peñuelas, Andreas Richter, Jordi Sardans, Páll Sigurðsson, Margaret S. Torn, Peter M. Van Bodegom, Erik Verbruggen, Tom W. N. Walker, Håkan Wallander, and Ivan A. Janssens
Biogeosciences, 19, 3381–3393, https://doi.org/10.5194/bg-19-3381-2022, https://doi.org/10.5194/bg-19-3381-2022, 2022
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In subarctic grassland on a geothermal warming gradient, we found large reductions in topsoil carbon stocks, with carbon stocks linearly declining with warming intensity. Most importantly, however, we observed that soil carbon stocks stabilised within 5 years of warming and remained unaffected by warming thereafter, even after > 50 years of warming. Moreover, in contrast to the large topsoil carbon losses, subsoil carbon stocks remained unaffected after > 50 years of soil warming.
Roberto Pilli, Ramdane Alkama, Alessandro Cescatti, Werner A. Kurz, and Giacomo Grassi
Biogeosciences, 19, 3263–3284, https://doi.org/10.5194/bg-19-3263-2022, https://doi.org/10.5194/bg-19-3263-2022, 2022
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To become carbon neutral by 2050, the European Union (EU27) forest C sink should increase to −450 Mt CO2 yr-1. Our study highlights that under current management practices (i.e. excluding any policy scenario) the forest C sink of the EU27 member states and the UK may decrease to about −250 Mt CO2eq yr-1 in 2050. The expected impacts of future climate change, however, add a considerable uncertainty, potentially nearly doubling or halving the sink associated with forest management.
Johnathan Daniel Maxey, Neil David Hartstein, Aazani Mujahid, and Moritz Müller
Biogeosciences, 19, 3131–3150, https://doi.org/10.5194/bg-19-3131-2022, https://doi.org/10.5194/bg-19-3131-2022, 2022
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Deep coastal inlets are important sites for regulating land-based organic pollution before it enters coastal oceans. This study focused on how large climate forces, rainfall, and river flow impact organic loading and oxygen conditions in a coastal inlet in Tasmania. Increases in rainfall were linked to higher organic loading and lower oxygen in basin waters. Finally we observed a significant correlation between the Southern Annular Mode and oxygen concentrations in the system's basin waters.
Guang Gao, Tifeng Wang, Jiazhen Sun, Xin Zhao, Lifang Wang, Xianghui Guo, and Kunshan Gao
Biogeosciences, 19, 2795–2804, https://doi.org/10.5194/bg-19-2795-2022, https://doi.org/10.5194/bg-19-2795-2022, 2022
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After conducting large-scale deck-incubation experiments, we found that seawater acidification (SA) increased primary production (PP) in coastal waters but reduced it in pelagic zones, which is mainly regulated by local pH, light intensity, salinity, and community structure. In future oceans, SA combined with decreased upward transports of nutrients may synergistically reduce PP in pelagic zones.
Joko Sampurno, Valentin Vallaeys, Randy Ardianto, and Emmanuel Hanert
Biogeosciences, 19, 2741–2757, https://doi.org/10.5194/bg-19-2741-2022, https://doi.org/10.5194/bg-19-2741-2022, 2022
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This study is the first assessment to evaluate the interactions between river discharges, tides, and storm surges and how they can drive compound flooding in the Kapuas River delta. We successfully created a realistic hydrodynamic model whose domain covers the land–sea continuum using a wetting–drying algorithm in a data-scarce environment. We then proposed a new method to delineate compound flooding hazard zones along the river channels based on the maximum water level profiles.
Svenja Dobbert, Roland Pape, and Jörg Löffler
Biogeosciences, 19, 1933–1958, https://doi.org/10.5194/bg-19-1933-2022, https://doi.org/10.5194/bg-19-1933-2022, 2022
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Understanding how vegetation might respond to climate change is especially important in arctic–alpine ecosystems, where major shifts in shrub growth have been observed. We studied how such changes come to pass and how future changes might look by measuring hourly variations in the stem diameter of dwarf shrubs from one common species. From these data, we are able to discern information about growth mechanisms and can thus show the complexity of shrub growth and micro-environment relations.
Jody Daniel, Rebecca C. Rooney, and Derek T. Robinson
Biogeosciences, 19, 1547–1570, https://doi.org/10.5194/bg-19-1547-2022, https://doi.org/10.5194/bg-19-1547-2022, 2022
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The threat posed by climate change to prairie pothole wetlands is well documented, but gaps remain in our ability to make meaningful predictions about how prairie pothole wetlands will respond. We integrate aspects of topography, land cover/land use and climate to model the permanence class of tens of thousands of wetlands at the western edge of the Prairie Pothole Region.
Cited articles
Agosta, C., Fettweis, X., and Datta, R.: Evaluation of the CMIP5 models in the aim of regional modelling of the Antarctic surface mass balance, The Cryosphere, 9, 2311–2321, https://doi.org/10.5194/tc-9-2311-2015, 2015.
Almazroui, M., Nazrul Islam, M., Saeed, S., Alkhalaf, A. K., and Dambul, R.:
Assessment of Uncertainties in Projected Temperature and Precipitation over
the Arabian Peninsula Using Three Categories of Cmip5 Multimodel Ensembles,
Earth Syst. Environ., 1, 23, https://doi.org/10.1007/s41748-017-0027-5, 2017.
Balch, W. M., Drapeau, D. T., and Bowler, B. C.: Step-changes in the
physical, chemical and biological characteristics of the Gulf of Maine, as
documented by the GNATS time series, Mar. Ecol. Prog. Ser., 450, 11–35,
https://doi.org/10.3354/meps09555, 2012.
Balch, W. M., Bates, N. R., Lam, P. J., Twining, B. S., Rosengard, S. Z.,
Bowler, B. C., Drapeau, D. T., Garley, R., Lubelczyk, L. C., Mitchell, C.,
and Rauschenberg, S.: Factors regulating the Great Calcite Belt in the
Southern Ocean and its biogeochemical significance, Global Biogeochem.
Cycles, 30, 1124–1144, https://doi.org/10.1002/2016GB005414, 2016.
Brown, C. W. and Yoder, J. A.: Coccolithophorid blooms in the global ocean,
J. Geophys. Res., 99, 7467, https://doi.org/10.1029/93JC02156, 1994.
Charlson, R. J., Lovelock, J. E., Andreae, M. O., and Warren, S. G.: Oceanic
phytoplankton, atmospheric sulphur, cloud albedo and climate, Nature, 326,
655–661, 1987.
Connolley, W. M. and Bracegirdle, T. J.: An Antarctic assessment of IPCC AR4
coupled models, Geophys. Res. Lett., 34, L22505,
https://doi.org/10.1029/2007GL031648, 2007.
Dai, A., Luo, D., Song, M., and Liu, J.: Arctic amplification is caused by
sea-ice loss under increasing CO2, Nat. Commun., 10, 1–13,
https://doi.org/10.1038/s41467-018-07954-9, 2019.
Das, L., Dutta, M., Mezghani, A., and Benestad, R. E.: Use of observed
temperature statistics in ranking CMIP5 model performance over the Western
Himalayan Region of India, Int. J. Climatol., 38, 554–570,
https://doi.org/10.1002/joc.5193, 2018.
Davy, R., Chen, L., and Hanna, E.: Arctic amplification metrics, Int. J.
Climatol., 38, 4384–4394, https://doi.org/10.1002/joc.5675, 2018.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P.,
Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M.,
Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C.,
Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration
and performance of the data assimilation system, Q. J. Roy. Meteor. Soc.,
137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Fernandes, M.: The Influence of Stress Conditions on Intracellular
Dimethylsulphoniopropionate (DMSP) and Dimethylsulphide (DMS) Release in
Emiliania huxleyi, University of East Anglia, UK, 2012.
Flato, G., Marotzke, J., Abiodun, B., Braconnot, P., Chou, S. C., Collins,
W., Cox, P., Driouech, F., Emori, S., Eyring, V., Forest, C., Gleckler, P.,
Guilyardi, E., Jakob, C., Kattsov, V., Reason, C., and Rummukainen, M.:
Evaluation of Climate Models, in Climate Change 2013: The Physical Science
Basis, Contribution of Working Group I to the Fifth Assessment Report of
the Intergovernmental Panel on Climate Change, pp. 741–866, NY, 2013.
Flores, J. A., Colmenero-Hidalgo, E., Mejía-Molina, A. E., Baumann, K.
H., H., Henderiks, J., Larsson, K., Prabhu, C. N., Sierro, F. J., and Rodrigues, T.: Distribution of large Emiliania huxleyi in
the Central and Northeast Atlantic as a tracer of surface ocean dynamics
during the last 25,000 years, Mar. Micropaleontol., 76, 53–66, 2010.
Franco, B., Fettweis, X., Erpicum, M., and Nicolay, S.: Present and future
climates of the Greenland ice sheet according to the IPCC AR4 models, Clim.
Dynam., 36, 1897–1918, https://doi.org/10.1007/s00382-010-0779-1, 2011.
Fu, G., Liu, Z., Charles, S. P., Xu, Z., and Yao, Z.: A score-based method
for assessing the performance of GCMs: A case study of southeastern
Australia, J. Geophys. Res.-Atmos., 118, 4154–4167,
https://doi.org/10.1002/jgrd.50269, 2013.
Garric, G., Parent, L., Greiner, E., Drévillon, M., Hamon, M.,
Lellouche, J.-M., Régnier, C., Desportes, C., Le Galloudec, O., Bricaud,
C., Drillet, Y., Hernandez, F., and Le Traon, P.-Y.: Performance and quality
assessment of the global ocean eddy-permitting physical reanalysis
GLORYS2V4, 19th EGU Gen. Assem. EGU2017, Proc. from Conf. held 23–28 April 2017, Vienna, Austria., p. 18776, 19, 18776, 2017.
Geil, K. L., Serra, Y. L., Zeng, X., Geil, K. L., Serra, Y. L., and Zeng, X.:
Assessment of CMIP5 Model Simulations of the North American Monsoon System,
J. Climate, 26, 8787–8801, https://doi.org/10.1175/JCLI-D-13-00044.1, 2013.
Gleckler, P. J., Taylor, K. E., and Doutriaux, C.: Performance metrics for
climate models, J. Geophys. Res.-Atmos., 113, D06104,
https://doi.org/10.1029/2007JD008972, 2008.
Golmohammadi, G., Prasher, S., Madani, A., and Rudra, R.: Evaluating Three
Hydrological Distributed Watershed Models: MIKE-SHE, APEX, SWAT, Hydrology,
1, 20–39, https://doi.org/10.3390/hydrology1010020, 2014.
Gregg, W. W., Casey, N. W., and McClain, C. R.: Recent trends in global ocean
chlorophyll, Geophys. Res. Lett., 32, L03606, https://doi.org/10.1029/2004GL021808,
2005.
Henson, S. A., Cole, H. S., Hopkins, J., Martin, A. P., and Yool, A.:
Detection of climate change-driven trends in phytoplankton phenology, Glob.
Chang. Biol., 24, e101–e111, https://doi.org/10.1111/gcb.13886, 2018.
Herger, N., Abramowitz, G., Knutti, R., Angélil, O., Lehmann, K., and Sanderson, B. M.: Selecting a climate model subset to optimise key ensemble properties, Earth Syst. Dynam., 9, 135–151, https://doi.org/10.5194/esd-9-135-2018, 2018.
Hoegh-Guldberg, O. and Bruno, J. F.: The Impact of Climate Change on the
World's Marine Ecosystems The role of oxidative stress in differential coral
bleaching View project, Science, 328, 1523–1528,
https://doi.org/10.1126/science.1189930, 2010.
Iglesias-Rodríguez, M. D., Brown, C. W., Doney, S. C., Kleypas, J.,
Kolber, D., Kolber, Z., Hayes, P. K., and Falkowski, P. G.: Representing key
phytoplankton functional groups in ocean carbon cycle models:
Coccolithophorids, Global Biogeochem. Cycles, 16, 47-1–47–20,
https://doi.org/10.1029/2001GB001454, 2002.
Iida, T., Saitoh, S., and Miyamura, T.: Temporal and spatial variability of
coccolithophore blooms in the eastern Bering Sea, 1998–2001, Prog.
Oceanogr., 55, 165–175, 2002.
IPCC: Climate change 2013 the physical science basis: Working Group I
contribution to the fifth assessment report of the intergovernmental panel
on climate change, Cambridge University Press, New York, USA, 2013.
Johannessen, O. M. and Miles, M. W.: Critical vulnerabilities of marine and
sea ice-based ecosystems in the high Arctic, Reg. Environ. Chang., 11, 239–248, https://doi.org/10.1007/s10113-010-0186-5, 2011.
Kazakov, E., Kondrik, D., and Pozdnyakov, D.: Spatial data assimilation with
a service-based GIS infrastructure for mapping and analysis of E. Huxleyi
blooms in arctic seas, in: Sixth International Conference on Remote Sensing
and Geoinformation of the Environment, Proc. SPIE 10773, Paphos, Cyprus, 2018.
Knutti, R., Furrer, R., Tebaldi, C., Cermak, J., Meehl, G. A., Knutti, R.,
Furrer, R., Tebaldi, C., Cermak, J., and Meehl, G. A.: Challenges in
Combining Projections from Multiple Climate Models, J. Climate, 23,
2739–2758, https://doi.org/10.1175/2009JCLI3361.1, 2010.
Kondrik, D., Pozdnyakov, D., and Pettersson, L.: Particulate inorganic carbon
production within E. huxleyi blooms in subpolar and polar seas: a satellite
time series study (1998–2013), Int. J. Remote Sens., 38, 6179–6205,
https://doi.org/10.1080/01431161.2017.1350304, 2017.
Kondrik, D., Kazakov, E. E., Pozdnyakov, D. V., and Johannessen, O. M.:
Satellite evidence for enhancement of the column mixing ratio of atmospheric
CO2 over E. Huxleyi blooms, Trans. Karelian Res. Cent. Russ. Acad. Sci., 9,
125–135, 2019.
Kondrik, D. V., Pozdnyakov, D. V., and Johannessen, O. M.: Satellite Evidence
that E. huxleyi Phytoplankton Blooms Weaken Marine Carbon Sinks, Geophys.
Res. Lett., 45, 846–854, https://doi.org/10.1002/2017GL076240, 2018.
Krumhardt, K. M., Lovenduski, N. S., Iglesias-Rodriguez, M. D., and Kleypas,
J. A.: Coccolithophore growth and calcification in a changing ocean, Prog.
Oceanogr., 159, 276–295, https://doi.org/10.1016/J.POCEAN.2017.10.007, 2017.
Kumar, D., Mishra, V., and Ganguly, A. R.: Evaluating wind extremes in CMIP5
climate models, Clim. Dynam., 45, 441–453,
https://doi.org/10.1007/s00382-014-2306-2, 2015.
Kwok, R.: Arctic sea ice thickness, volume, and multiyear ice coverage:
Losses and coupled variability (1958–2018), Environ. Res. Lett., 13, 105005,
https://doi.org/10.1088/1748-9326/aae3ec, 2018.
Lavender, S. J., Raitsos, D. E., and Pradhan, Y.: Variations in the
Phytoplankton of the North-Eastern Atlantic Ocean: From the Irish Sea to the
Bay of Biscay, in: Remote Sensing of the European Seas, pp. 67–78, Springer
Netherlands, Dordrecht, 2008.
Lavoie, D., Lambert, N., and Van der Baaren, A.: Projections of future
physical and biogeochemical conditions in the Northwest Atlantic from CMIP5
Global Climate Models, Fisheries and Oceans Canada, Mont-Joli, Canada, 2013.
Malin, G. and Steinke, M.: Coccolithophore-derived production of dimethyl
sulphide, in: Coccolithophores, pp. 127–164, Springer, Berlin, Heidelberg, Germany, 2004.
Malin, G., Turner, S., Liss, P., Holligan, P., and Harbour, D.:
Dimethylsulphide and dimethylsulphoniopropionate in the Northeast atlantic
during the summer coccolithophore bloom, Deep-Sea Res. Pt. I, 40, 1487–1508, https://doi.org/10.1016/0967-0637(93)90125-M, 1993.
Mauritsen, T., Stevens, B., Roeckner, E., Crueger, T., Esch, M., Giorgetta,
M., Haak, H., Jungclaus, J., Klocke, D., Matei, D., Mikolajewicz, U., Notz,
D., Pincus, R., Schmidt, H., and Tomassini, L.: Tuning the climate of a
global model, J. Adv. Model. Earth Syst., 4, M00A01,
https://doi.org/10.1029/2012MS000154, 2012.
McIntyre, A. and Bé, A. W. H.: Modern coccolithophoridae of the atlantic
ocean-I. Placoliths and cyrtoliths, Deep. Res. Oceanogr. Abstr., 14, 561–597,
https://doi.org/10.1016/0011-7471(67)90065-4, 1967.
Moore, T. S., Dowell, M. D., and Franz, B. A.: Detection of coccolithophore
blooms in ocean color satellite imagery: A generalized approach for use with
multiple sensors, Remote Sens. Environ., 117, 249–263,
https://doi.org/10.1016/j.rse.2011.10.001, 2012.
Moriasi, D. N., Arnold, J. G., Liew, M. W. Van, Bingner, R. L., Harmel, R.
D., and Veith, T. L.: Model evaluation guidelines for systematic
quantification of accuracy in watershed simulations, Am. Soc. Agric. Biol.
Eng., 50, 885–900, 2007.
Morozov, E., Pozdnyakov, D., Smyth, T., Sychev, V., and Grassl, H.:
Space-borne study of seasonal, multi-year, and decadal phytoplankton
dynamics in the Bay of Biscay, Int. J. Remote Sens., 34, 1297–1331,
https://doi.org/10.1080/01431161.2012.718462, 2013.
Morozov, E., Kondrik, D., Chepikova, S., and Pozdnyakov, D. V.: Atmospheric columnar
CO2 enhancement over e. huxleyi blooms: case studies in the North Atlantic
and Arctic waters, Limnol. Oceanogr., 3, 28–33, 2019.
Murphy, J. M., Sexton, D. M. H., Barnett, D. N., Jones, G. S., Webb, M. J.,
Collins, M., and Stainforth, D. A.: Quantification of modelling uncertainties
in a large ensemble of climate change simulations, Nature, 430,
768–772, https://doi.org/10.1038/nature02771, 2004.
Okada, H. and McIntyre, A.: Seasonal distribution of modern coccolithophores
in the western North Atlantic Ocean, Mar. Biol., 54, 319–328,
https://doi.org/10.1007/BF00395438, 1979.
Otero, N., Sillmann, J., and Butler, T.: Assessment of an extended version of
the Jenkinson–Collison classification on CMIP5 models over Europe, Clim.
Dynam., 50, 1559–1579, https://doi.org/10.1007/s00382-017-3705-y, 2018.
Overland, J. E. and Wang, M.: Large-scale atmospheric circulation changes
are associated with the recent loss of Arctic sea ice, Tellus A, 62, 1–9, https://doi.org/10.1111/j.1600-0870.2009.00421.x,
2010.
Overland, J. E., Wang, M., Bond, N. A., Walsh, J. E., Kattsov, V. M., and
Chapman, W. L.: Considerations in the Selection of Global Climate Models for
Regional Climate Projections: The Arctic as a Case Study, J. Climate, 24,
1583–1597, https://doi.org/10.1175/2010JCLI3462.1, 2011.
Paasche, E.: A review of the coccolithophorid emiliania huxleyi
(prymnesiophyceae), with particular reference to growth, coccolith
formation, and calcification-photosynthesis interactions, Phycologia, 40,
503–529, https://doi.org/10.2216/i0031-8884-40-6-503.1, 2001.
Perruche, C.: PRODUCT USER MANUAL For the Global Ocean Biogeochemistry
Hindcast GLOBAL_REANALYSIS_BIO_001_029 Issue: 1.0, Copernicus Marine Environment Monitoring Service, EU, 2018.
Pierce, D. W., Barnett, T. P., Santer, B. D., and Gleckler, P. J.: Selecting
global climate models for regional climate change studies, P. Natl. Acad.
Sci. USA, 106, 8441–8446, 2009.
Pozdnyakov, D., Kondrik, D., Kazakov, E., and Chepikova, S.: Environmental conditions
favoring coccolithophore blooms in subarctic and arctic seas: a 20-year
satellite and multi-dimensional statistical study, in: SPIE: Remote Sensing
of the Ocean, Strasbourg, France, 111501W, https://doi.org/10.1117/12.2547868, 2019.
Raitsos, D. E., Lavender, S. J., Pradhan, Y., Tyrrell, T., Reid, P. C., and
Edwards, M.: Coccolithophore bloom size variation in response to the
regional environment of the subarctic North Atlantic, Limnol. Oceanogr.,
51, 2122–2130, https://doi.org/10.4319/lo.2006.51.5.2122, 2006.
Reichler, T. and Kim, J.: How Well Do Coupled Models Simulate Today's
Climate?, B. Am. Meteorol. Soc., 89, 303–312,
https://doi.org/10.1175/BAMS-89-3-303, 2008.
Rickard, G. J., Behrens, E., and Chiswell, S. M.: CMIP5 earth system models
with biogeochemistry: An assessment for the southwest Pacific Ocean, J.
Geophys. Res.-Ocean., 121, 7857–7879, https://doi.org/10.1002/2016JC011736, 2016.
Rivero-Calle, S., Gnanadesikan, A., Del Castillo, C. E., Balch, W. M., and
Guikema, S. D.: Multidecadal increase in North Atlantic coccolithophores and
the potential role of rising CO2, Science, 350, 1533–1537, 2015.
Ruan, Y., Liu, Z., Wang, R., and Yao, Z.: Assessing the Performance of CMIP5
GCMs for Projection of Future Temperature Change over the Lower Mekong
Basin, Atmosphere (Basel)., 10, 93, https://doi.org/10.3390/atmos10020093, 2019.
Schmidt, G. A., Bader, D., Donner, L. J., Elsaesser, G. S., Golaz, J.-C., Hannay, C., Molod, A., Neale, R. B., and Saha, S.: Practice and philosophy of climate model tuning across six US modeling centers, Geosci. Model Dev., 10, 3207–3223, https://doi.org/10.5194/gmd-10-3207-2017, 2017.
Séférian, R., Bopp, L., Gehlen, M., Orr, J. C., Ethé, C.,
Cadule, P., Aumont, O., Salas y Mélia, D., Voldoire, A., and Madec, G.:
Skill assessment of three earth system models with common marine
biogeochemistry, Clim. Dynam., 40, 2549–2573,
https://doi.org/10.1007/s00382-012-1362-8, 2013.
Shutler, J. D., Land, P. E., Brown, C. W., Findlay, H. S., Donlon, C. J., Medland, M., Snooke, R., and Blackford, J. C.: Coccolithophore surface distributions in the North Atlantic and their modulation of the air-sea flux of CO2 from 10 years of satellite Earth observation data, Biogeosciences, 10, 2699–2709, https://doi.org/10.5194/bg-10-2699-2013, 2013.
Smyth, T. J., Tyrrell, T., and Tarrant, B.: Time series of coccolithophore
activity in the Barents Sea, from twenty years of satellite imagery,
Geophys. Res. Lett., 31, L11302, https://doi.org/10.1029/2004GL019735, 2004.
Stocker, T. F.: Models change their tune, Nature, 430, 737–738,
https://doi.org/10.1038/430737a, 2004.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of CMIP5 and
the Experiment Design, B. Am. Meteorol. Soc., 93, 485–498,
https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.
Tyrrell, T. and Merico, A.: Emiliania huxleyi: bloom observations and the
conditions that induce them, in: Coccolithophores, Springer, Berlin, Heidelberg, 75–97, https://doi.org/10.1007/978-3-662-06278-4_4, 2004.
Vihma, T., Pirazzini, R., Fer, I., Renfrew, I. A., Sedlar, J., Tjernström, M., Lüpkes, C., Nygård, T., Notz, D., Weiss, J., Marsan, D., Cheng, B., Birnbaum, G., Gerland, S., Chechin, D., and Gascard, J. C.: Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review, Atmos. Chem. Phys., 14, 9403–9450, https://doi.org/10.5194/acp-14-9403-2014, 2014.
Wang, S., Maltrud, M. E., Burrows, S. M., Elliott, S. M., and Cameron-Smith,
P.: Impacts of Shifts in Phytoplankton Community on Clouds and Climate via
the Sulfur Cycle, Global Biogeochem. Cycles, 32, 1005–1026,
https://doi.org/10.1029/2017GB005862, 2018a.
Wang, S., Maltrud, M., Elliott, S., Cameron-Smith, P., and Jonko, A.:
Influence of dimethyl sulfide on the carbon cycle and biological production,
Biogeochemistry, 138, 49–68, https://doi.org/10.1007/s10533-018-0430-5, 2018b.
Winter, A., Jordan, R. W., and Roth, P. H.: Biogeography of living coccolithophores in ocean waters,
in: Coccolithophores, Cambridge University Press, Cambridge, UK, 161–177, 1994.
Winter, A., Henderiks, J., Beaufort, L., Rickaby, R. E. M., and Brown, C. W.:
Poleward expansion of the coccolithophore Emiliania huxleyi, J. Plankton
Res., 36, 316–325, https://doi.org/10.1093/plankt/fbt110, 2013.
Zondervan, I.: The effects of light, macronutrients, trace metals and CO2
on the production of calcium carbonate and organic carbon in
coccolithophores – A review, Deep-Sea Res. II, 54, 521–537,
https://doi.org/10.1016/j.dsr2.2006.12.004, 2007.
Short summary
We analysed the ability of 34 climate models to reproduce main factors affecting the coccolithophore Emiliania huxleyi blooms in six Arctic and sub-Arctic seas. Furthermore, we proposed a procedure of ranking and selecting these models based on the model’s skill in reproducing 10 important oceanographic, meteorological, and biochemical variables in comparison with observation data and demonstrated that the proposed methodology shows a better result than commonly used all-model averaging.
We analysed the ability of 34 climate models to reproduce main factors affecting the...
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