Search Results - "Peylin, P."

Recent trends and drivers of regional sources and sinks of carbon dioxide by Sitch, S, Friedlingstein, P, Gruber, N, Jones, S. D, Murray-Tortarolo, G, Ahlström, A, Doney, S. C, Graven, H, Heinze, C, Huntingford, C, Levis, S, Levy, P. E, Lomas, M, Poulter, B, Viovy, N, Zaehle, S, Zeng, N, Arneth, A, Bonan, G, Bopp, L, Canadell, J. G, Chevallier, F, Ciais, P, Ellis, R, Gloor, M, Peylin, P, Piao, S. L, Le Quéré, C, Smith, B, Zhu, Z, Myneni, R

“…The land and ocean absorb on average just over half of the anthropogenic emissions of carbon dioxide (CO2) every year. These CO2 "sinks" are modulated by…”
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Carbon and nitrogen cycle dynamics in the O-CN land surface model: 2. Role of the nitrogen cycle in the historical terrestrial carbon balance by Zaehle, S, Friend, A.D, Friedlingstein, P, Dentener, F, Peylin, P, Schultz, M

“…Global-scale results of the new O-CN terrestrial biosphere model coupling the carbon (C) and nitrogen (N) cycles show that the model produces realistic…”
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A new global gridded data set of CO2 emissions from fossil fuel combustion: Methodology and evaluation by Rayner, P. J., Raupach, M. R., Paget, M., Peylin, P., Koffi, E.

“…We describe a system for constraining the spatial distribution of fossil fuel emissions of CO2. The system is based on a modified Kaya identity which expresses…”
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Global atmospheric carbon budget: results from an ensemble of atmospheric CO2 inversions by Peylin, P, Law, R M, Gurney, K R, Chevallier, F, Jacobson, A R, Maki, T, Niwa, Y, Patra, P K, Peters, W, Rayner, P J, Rödenbeck, C, der Laan-Luijkx, I T. van, Zhang, X

“…Atmospheric CO2 inversions estimate surface carbon fluxes from an optimal fit to atmospheric CO2 measurements, usually including prior constraints on the flux…”
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Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative by Poulter, B, MacBean, N, Hartley, A, Khlystova, I, Arino, O, Betts, R, Bontemps, S, Boettcher, M, Brockmann, C, Defourny, P, Hagemann, S, Herold, M, Kirches, G, Lamarche, C, Lederer, D, Ottlé, C, Peters, M, Peylin, P

“…Global land cover is a key variable in the earth system with feedbacks on climate, biodiversity and natural resources. However, global land cover data sets…”
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Sources of Uncertainty in Regional and Global Terrestrial CO2 Exchange Estimates by Bastos, A., O'Sullivan, M., Ciais, P., Makowski, D., Sitch, S., Friedlingstein, P., Chevallier, F., Rödenbeck, C., Pongratz, J., Luijkx, I. T., Patra, P. K., Peylin, P., Canadell, J. G., Lauerwald, R., Li, W., Smith, N. E., Peters, W., Goll, D. S., Jain, A.K., Kato, E., Lienert, S., Lombardozzi, D. L., Haverd, V., Nabel, J. E. M. S., Poulter, B., Tian, H., Walker, A. P., Zaehle, S.

“…The Global Carbon Budget 2018 (GCB2018) estimated by the atmospheric CO 2 growth rate, fossil fuel emissions, and modeled (bottom‐up) land and ocean fluxes…”
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An assessment of the carbon balance of Arctic tundra: comparisons among observations, process models, and atmospheric inversions by McGuire, A. D, Christensen, T. R, Hayes, D, Heroult, A, Euskirchen, E, Kimball, J. S, Koven, C, Lafleur, P, Miller, P. A, Oechel, W, Peylin, P, Williams, M, Yi, Y

“…Although Arctic tundra has been estimated to cover only 8% of the global land surface, the large and potentially labile carbon pools currently stored in tundra…”
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Data-based estimates of the ocean carbon sink variability – first results of the Surface Ocean pCO2 Mapping intercomparison (SOCOM) by Rödenbeck, C, Bakker, D C E, Gruber, N, Iida, Y, Jacobson, A R, Jones, S, Landschützer, P, Metzl, N, Nakaoka, S, Olsen, A, G-H, Park, Peylin, P, Rodgers, K B, Sasse, T P, Schuster, U, Shutler, J D, Valsala, V, Wanninkhof, R, Zeng, J

“…Using measurements of the surface-ocean CO2 partial pressure (pCO2) and 14 different pCO2 mapping methods recently collated by the Surface Ocean pCO2 Mapping…”
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Using satellite data to improve the leaf phenology of a global terrestrial biosphere model by MacBean, N, Maignan, F, Peylin, P, Bacour, C, Bréon, F.-M, Ciais, P

“…Correct representation of seasonal leaf dynamics is crucial for terrestrial biosphere models (TBMs), but many such models cannot accurately reproduce…”
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A new model of the global biogeochemical cycle of carbonyl sulfide – Part 2: Use of carbonyl sulfide to constrain gross primary productivity in current vegetation models by Launois, T, Peylin, P, Belviso, S, Poulter, B

“…Clear analogies between carbonyl sulfide (OCS) and carbon dioxide (CO2) diffusion pathways through leaves have been revealed by experimental studies, with…”
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Observation‐Based Trends of the Southern Ocean Carbon Sink by Ritter, R., Landschützer, P., Gruber, N., Fay, A. R., Iida, Y., Jones, S., Nakaoka, S., Park, G.‐H., Peylin, P., Rödenbeck, C., Rodgers, K. B., Shutler, J. D., Zeng, J.

“…The Southern Ocean (SO) carbon sink has strengthened substantially since the year 2000, following a decade of a weakening trend. However, the surface ocean…”
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Recent Amazon climate as background for possible ongoing and future changes of Amazon humid forests by Gloor, M., Barichivich, J., Ziv, G., Brienen, R., Schöngart, J., Peylin, P., Ladvocat Cintra, B. Barcante, Feldpausch, T., Phillips, O., Baker, J.

“…Recent analyses of Amazon runoff and gridded precipitation data suggest an intensification of the hydrological cycle over the past few decades in the following…”
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A framework for benchmarking land models by Luo, Y. Q, Randerson, J. T, Abramowitz, G, Bacour, C, Blyth, E, Carvalhais, N, Ciais, P, Dalmonech, D, Fisher, J. B, Fisher, R, Friedlingstein, P, Hibbard, K, Hoffman, F, Huntzinger, D, Jones, C. D, Koven, C, Lawrence, D, Li, D. J, Mahecha, M, Niu, S. L, Norby, R, Piao, S. L, Qi, X, Peylin, P, Prentice, I. C, Riley, W, Reichstein, M, Schwalm, C, Wang, Y. P, Xia, J. Y, Zaehle, S, Zhou, X. H

“…Land models, which have been developed by the modeling community in the past few decades to predict future states of ecosystems and climate, have to be…”
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A full greenhouse gases budget of Africa: synthesis, uncertainties, and vulnerabilities by Valentini, R, Arneth, A, Bombelli, A, Castaldi, S, Cazzolla Gatti, R, Chevallier, F, Ciais, P, Grieco, E, Hartmann, J, Henry, M, Houghton, R. A, Jung, M, Kutsch, W. L, Malhi, Y, Mayorga, E, Merbold, L, Murray-Tortarolo, G, Papale, D, Peylin, P, Poulter, B, Raymond, P. A, Santini, M, Sitch, S, Vaglio Laurin, G, van der Werf, G. R, Williams, C. A, Scholes, R. J

“…This paper, developed under the framework of the RECCAP initiative, aims at providing improved estimates of the carbon and GHG (CO2, CH4 and N2O) balance of…”
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Plant gross primary production, plant respiration and carbonyl sulfide emissions over the globe inferred by atmospheric inverse modelling by Remaud, Marine, Chevallier, Frédéric, Maignan, Fabienne, Belviso, Sauveur, Berchet, Antoine, Parouffe, Alexandra, Abadie, Camille, Bacour, Cédric, Lennartz, Sinikka, Peylin, Philippe

“…Carbonyl sulfide (COS), a trace gas showing striking similarity to CO2 in terms of biochemical diffusion pathway into leaves, has been recognized as a…”
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A new model for the global biogeochemical cycle of carbonyl sulfide – Part 1: Assessment of direct marine emissions with an oceanic general circulation and biogeochemistry model by Launois, T, Belviso, S, Bopp, L, Fichot, C. G, Peylin, P

“…The global budget of tropospheric carbonyl sulfide (OCS) is believed to be at equilibrium because background air concentrations have remained roughly stable…”
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Improving land surface models with FLUXNET data by Williams, M., Richardson, A. D., Reichstein, M., Stoy, P. C., Peylin, P., Verbeeck, H., Carvalhais, N., Jung, M., Hollinger, D. Y., Kattge, J., Leuning, R., Luo, Y., Tomelleri, E., Trudinger, C. M., Wang, Y. -P.

“…There is a growing consensus that land surface models (LSMs) that simulate terrestrial biosphere exchanges of matter and energy must be better constrained with…”
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Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model by MacBean, N., Bacour, C., Raoult, N., Bastrikov, V., Koffi, E. N., Kuppel, S., Maignan, F., Ottlé, C., Peaucelle, M., Santaren, D., Peylin, P.

“…Predicting terrestrial carbon, C, budgets and carbon‐climate feedbacks strongly relies on our ability to accurately model interactions between vegetation, C…”
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Constraining a global ecosystem model with multi-site eddy-covariance data by Kuppel, S, Peylin, P, Chevallier, F, Bacour, C, Maignan, F, Richardson, A. D

“…Assimilation of in situ and satellite data in mechanistic terrestrial ecosystem models helps to constrain critical model parameters and reduce uncertainties in…”
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Global climate response to idealized deforestation in CMIP6 models by Boysen, Lena R, Brovkin, Victor, Pongratz, Julia, Lawrence, David M, Lawrence, Peter, Vuichard, Nicolas, Peylin, Philippe, Liddicoat, Spencer, Hajima, Tomohiro, Zhang, Yanwu, Rocher, Matthias, Delire, Christine, Séférian, Roland, Arora, Vivek K, Nieradzik, Lars, Anthoni, Peter, Thiery, Wim, Laguë, Marysa M, Lawrence, Deborah, Lo, Min-Hui

“…Changes in forest cover have a strong effect on climate through the alteration of surface biogeophysical and biogeochemical properties that affect energy,…”
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