Key physical processes and their model representation for projecting climate impacts on subarctic Atlantic net primary production: A synthesis
暂无分享,去创建一个
Camille Li | Geir Ottersen | A. Samuelsen | J. Tjiputra | J. Bettencourt | M. Myksvoll | Erik A Mousing | Anne Britt Sandø | Veli Çağlar Yumruktepe
[1] W. Cheung,et al. Persistent Uncertainties in Ocean Net Primary Production Climate Change Projections at Regional Scales Raise Challenges for Assessing Impacts on Ecosystem Services , 2021, Frontiers in Climate.
[2] W. Budgell,et al. Barents Sea plankton production and controlling factors in a fluctuating climate , 2021 .
[3] André W. Visser,et al. A general size- and trait-based model of plankton communities , 2020 .
[4] T. Ziehn,et al. The Australian Earth System Model: ACCESS-ESM1.5 , 2020 .
[5] J. Dunne,et al. Ocean Biogeochemistry in GFDL's Earth System Model 4.1 and Its Response to Increasing Atmospheric CO2 , 2020, Journal of Advances in Modeling Earth Systems.
[6] Jessica Y. Luo,et al. Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6 , 2020, Current Climate Change Reports.
[7] M. Gehlen,et al. Twenty-first century ocean warming, acidification, deoxygenation, and upper-ocean nutrient and primary production decline from CMIP6 model projections , 2020, Biogeosciences.
[8] S. Bony,et al. Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model , 2020, Journal of Advances in Modeling Earth Systems.
[9] Wei Cheng,et al. CMIP6 Models Predict Significant 21st Century Decline of the Atlantic Meridional Overturning Circulation , 2020, Geophysical Research Letters.
[10] I. Bethke,et al. Ocean Biogeochemical Predictions—Initialization and Limits of Predictability , 2020, Frontiers in Marine Science.
[11] K. Arrigo,et al. Climate effects on temporal and spatial dynamics of phytoplankton and zooplankton in the Barents Sea , 2020, Progress in Oceanography.
[12] A. Ito,et al. Development of the MIROC-ES2L Earth system model and the evaluation of biogeochemical processes and feedbacks , 2020, Geoscientific Model Development.
[13] Robert J. W. Brewin,et al. Primary Production, an Index of Climate Change in the Ocean: Satellite-Based Estimates over Two Decades , 2020, Remote. Sens..
[14] C. Heinze,et al. Ocean biogeochemistry in the Norwegian Earth System Model version 2 (NorESM2) , 2020, Geoscientific Model Development.
[15] R. Davy,et al. The Arctic Surface Climate in CMIP6: Status and Developments since CMIP5 , 2019, Journal of Climate.
[16] S. Sundby,et al. Wind Intensity Is Key to Phytoplankton Spring Bloom Under Climate Change , 2019, Front. Mar. Sci..
[17] T. Fichefet,et al. Impact of model resolution on Arctic sea ice and North Atlantic Ocean heat transport , 2019, Climate Dynamics.
[18] A. Oka,et al. CMIP5 model analysis of future changes in ocean net primary production focusing on differences among individual oceans and models , 2019, Journal of Oceanography.
[19] Alexander J. Winkler,et al. Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO2 , 2019, Journal of advances in modeling earth systems.
[20] Stevens,et al. CMIP5 Scientific Gaps and Recommendations for CMIP6 , 2017 .
[21] Robert Frouin,et al. Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models , 2016, Journal of geophysical research. Oceans.
[22] M. Perry,et al. Evidence of small‐scale spatial structuring of phytoplankton alpha‐ and beta‐diversity in the open ocean , 2016 .
[23] Romain Bourdallé-Badie,et al. The impact of resolving the Rossby radius at mid-latitudes in the ocean: results from a high-resolution version of the Met Office GC2 coupled model , 2016 .
[24] P. Heimbach,et al. Biogeochemical versus ecological consequences of modeled ocean physics , 2016 .
[25] K. Assmann,et al. Evaluation of NorESM-OC (versions 1 and 1.2), the ocean carbon-cycle stand-alone configuration of the Norwegian Earth System Model (NorESM1) , 2016 .
[26] W. Cheung,et al. Sources of uncertainties in 21st century projections of potential ocean ecosystem stressors , 2016 .
[27] Mike Ashworth,et al. Prospects for improving the representation of coastal and shelf seas in global ocean models , 2016 .
[28] Ø. Fiksen,et al. Scaling Laws in Phytoplankton Nutrient Uptake Affinity , 2016, Front. Mar. Sci..
[29] Corinne Le Quéré,et al. Drivers and uncertainties of future global marine primary production in marine ecosystem models , 2015 .
[30] A. Yool,et al. Future change in ocean productivity: is the Arctic the new Atlantic? , 2015 .
[31] Olivier Aumont,et al. PISCES-v2: an ocean biogeochemical model for carbon and ecosystem studies , 2015 .
[32] James T. Randerson,et al. Climate change impacts on net primary production (NPP) and export production (EP) regulated by increasing stratification and phytoplankton community structure in the CMIP5 models , 2015 .
[33] K. Arrigo,et al. Continued increases in Arctic Ocean primary production , 2015 .
[34] Marcello Vichi,et al. Impact of increased grid resolution on global marine biogeochemistry , 2015 .
[35] Annette Samuelsen,et al. Tuning and assessment of the HYCOM-NORWECOM V2.1 biogeochemical modeling system for the North Atlantic and Arctic oceans , 2015 .
[36] R. Stanley,et al. Rates of summertime biological productivity in the Beaufort Gyre : a comparison between the low and record-low ice conditions of August 2011 and 2012 , 2015 .
[37] R. Rykaczewski,et al. Anticipated Effects of Climate Change on Coastal Upwelling Ecosystems , 2015, Current Climate Change Reports.
[38] M. Steinacher,et al. A glimpse into the future composition of marine phytoplankton communities , 2014, Front. Mar. Sci..
[39] V. Garçon,et al. Biomass changes and trophic amplification of plankton in a warmer ocean , 2014, Global change biology.
[40] W. Budgell,et al. Downscaling IPCC control run and future scenario with focus on the Barents Sea , 2014, Ocean Dynamics.
[41] F. Qiao,et al. Evaluating CMIP5 simulations of mixed layer depth during summer , 2014 .
[42] Dongxiao Wang,et al. Timing and magnitude of spring bloom and effects of physical environments over the Grand Banks of Newfoundland , 2013 .
[43] Thomas R. Anderson,et al. MEDUSA-2.0: an intermediate complexity biogeochemical model of the marine carbon cycle for climate change and ocean acidification studies , 2013 .
[44] Christoph Heinze,et al. Multiple stressors of ocean ecosystems in the 21st century: projections with CMIP5 models , 2013 .
[45] David B. Stephenson,et al. A Multimodel Assessment of Future Projections of North Atlantic and European Extratropical Cyclones in the CMIP5 Climate Models , 2013 .
[46] L. Bopp,et al. Future Arctic Ocean primary productivity from CMIP5 simulations: Uncertain outcome, but consistent mechanisms , 2013, Global Biogeochemical Cycles.
[47] Stephanie Dutkiewicz,et al. A size‐structured food‐web model for the global ocean , 2012 .
[48] Christoph Heinze,et al. Evaluation of the carbon cycle components in the Norwegian Earth System Model (NorESM) , 2012 .
[49] Rick A. Reynolds,et al. Massive Phytoplankton Blooms Under Arctic Sea Ice , 2012, Science.
[50] John Horne,et al. Mesoscale Eddies Are Oases for Higher Trophic Marine Life , 2012, PloS one.
[51] K. Arrigo,et al. Secular trends in Arctic Ocean net primary production , 2011 .
[52] B. Samuels,et al. Parameterization of mixed layer eddies. III: Implementation and impact in global ocean climate simulations , 2010 .
[53] Andreas Oschlies,et al. Towards an assessment of simple global marine biogeochemical models of different complexity , 2010 .
[54] Thomas R. Anderson,et al. Comparison of the emergent behavior of a complex ecosystem model in two ocean general circulation models , 2010 .
[55] Scott C. Doney,et al. Projected 21st century decrease in marine productivity: a multi-model analysis , 2009 .
[56] Kenneth L. Denman,et al. Preindustrial, historical, and fertilization simulations using a global ocean carbon model with new parameterizations of iron limitation, calcification, and N2 fixation , 2008 .
[57] Geir Ottersen,et al. Climate and the match or mismatch between predator requirements and resource availability , 2007 .
[58] J. Tjiputra,et al. Assimilation of seasonal chlorophyll and nutrient data into an adjoint three‐dimensional ocean carbon cycle model: Sensitivity analysis and ecosystem parameter optimization , 2007 .
[59] David A. Siegel,et al. Climate-driven trends in contemporary ocean productivity , 2006, Nature.
[60] Keith Lindsay,et al. Upper ocean ecosystem dynamics and iron cycling in a global three‐dimensional model , 2004 .
[61] S. Doney. Major challenges confronting marine biogeochemical modeling , 1999 .
[62] Marine Advisory Program,et al. PHYTOPLANKTON grass of the sea , 1973 .
[63] A. Mahadevan. Submesoscale Processes , 2019, Encyclopedia of Ocean Sciences.
[64] J. Choi,et al. Phytoplankton and Primary Production , 2016 .
[65] Jinlun Zhang,et al. Ecosystem model intercomparison of under‐ice and total primary production in the Arctic Ocean , 2016 .
[66] Gurvan Madec,et al. Large-scale impacts of submesoscale dynamics on phytoplankton: Local and remote effects , 2012 .
[67] Patrick Lehodey,et al. On the use of IPCC-class models to assess the impact of climate on Living Marine Resources , 2011 .
[68] A. Samuelsen,et al. Influence of horizontal model grid resolution on the simulated primary production in an embedded primary production model in the Norwegian Sea , 2009 .
[69] T. Fichefet,et al. Sea ice evolution over the 20th and 21st centuries as simulated by current AOGCMs , 2006 .
[70] Thomas Kiørboe,et al. Turbulence, Phytoplankton Cell Size, and the Structure of Pelagic Food Webs , 1993 .
[71] H. Ducklow,et al. Plankton succession and carbon cycling at 47°N 20°W during the JGOFS North Atlantic Bloom Experiment , 1993 .
[72] E. Feigelson. The Polar Regions , 1984 .
[73] W. Richard,et al. TEMPERATURE AND PHYTOPLANKTON GROWTH IN THE SEA , 1972 .
[74] H. Sverdrup,et al. On Conditions for the Vernal Blooming of Phytoplankton , 1953 .