SEARCH

SEARCH BY CITATION

Cited in:

CrossRef

This article has been cited by:

  1. 1
    Alistair Rogers, The use and misuse of V c,max in Earth System Models, Photosynthesis Research, 2014, 119, 1-2, 15

    CrossRef

  2. 2
    Maarten C. Braakhekke, Christian Beer, Marion Schrumpf, Altug Ekici, Bernhard Ahrens, Marcel R. Hoosbeek, Bart Kruijt, Pavel Kabat, Markus Reichstein, The use of radiocarbon to constrain current and future soil organic matter turnover and transport in a temperate forest, Journal of Geophysical Research: Biogeosciences, 2014, 119, 2
  3. 3
    E. Hertig, J. Jacobeit, A novel approach to statistical downscaling considering nonstationarities: application to daily precipitation in the Mediterranean area, Journal of Geophysical Research: Atmospheres, 2013, 118, 2
  4. You have free access to this content4
    Rainer Schneck, Christian H. Reick, Thomas Raddatz, Land contribution to natural CO2 variability on time scales of centuries, Journal of Advances in Modeling Earth Systems, 2013, 5, 2
  5. 5
    Mu Mu, Methods, current status, and prospect of targeted observation, Science China Earth Sciences, 2013, 56, 12, 1997

    CrossRef

  6. 6
    Meifang Zhao, Changhui Peng, Wenhua Xiang, Xiangwen Deng, Dalun Tian, Xiaolu Zhou, Guirui Yu, Honglin He, Zhonghui Zhao, Plant phenological modeling and its application in global climate change research: overview and future challenges, Environmental Reviews, 2013, 21, 1, 1

    CrossRef

  7. 7
    Nicholas G Smith, Jeffrey S Dukes, Plant respiration and photosynthesis in global-scale models: incorporating acclimation to temperature and CO2, Global Change Biology, 2013, 19, 1
  8. You have free access to this content8
    C. H. Reick, T. Raddatz, V. Brovkin, V. Gayler, Representation of natural and anthropogenic land cover change in MPI-ESM, Journal of Advances in Modeling Earth Systems, 2013, 5, 3
  9. 9
    Christoforos Pappas, Simone Fatichi, Sebastian Leuzinger, Annett Wolf, Paolo Burlando, Sensitivity analysis of a process-based ecosystem model: Pinpointing parameterization and structural issues, Journal of Geophysical Research: Biogeosciences, 2013, 118, 2
  10. 10
    J.-F. Exbrayat, A. J. Pitman, G. Abramowitz, Y.-P. Wang, Sensitivity of net ecosystem exchange and heterotrophic respiration to parameterization uncertainty, Journal of Geophysical Research: Atmospheres, 2013, 118, 4
  11. 11
    Jianghua Wu, Nigel T. Roulet, Jorgen Sagerfors, Mats B. Nilsson, Simulation of six years of carbon fluxes for a sedge-dominated oligotrophic minerogenic peatland in Northern Sweden using the McGill Wetland Model (MWM), Journal of Geophysical Research: Biogeosciences, 2013, 118, 2
  12. 12
    T. Kaminski, W. Knorr, G. Schürmann, M. Scholze, P. J. Rayner, S. Zaehle, S. Blessing, W. Dorigo, V. Gayler, R. Giering, N. Gobron, J. P. Grant, M. Heimann, A. Hooker-Stroud, S. Houweling, T. Kato, J. Kattge, D. Kelley, S. Kemp, E. N. Koffi, C. Köstler, P.-P. Mathieu, B. Pinty, C. H. Reick, C. Rödenbeck, R. Schnur, K. Scipal, C. Sebald, T. Stacke, A. Terwisscha Scheltinga, M. Vossbeck, H. Widmann, T. Ziehn, The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and challenges, Journal of Geophysical Research: Biogeosciences, 2013, 118, 4
  13. 13
    Katherine E. O. Todd-Brown, Francesca M. Hopkins, Stephanie N. Kivlin, Jennifer M. Talbot, Steven D. Allison, A framework for representing microbial decomposition in coupled climate models, Biogeochemistry, 2012, 109, 1-3, 19

    CrossRef

  14. You have free access to this content14
    S. Fatichi, V. Y. Ivanov, E. Caporali, A mechanistic ecohydrological model to investigate complex interactions in cold and warm water-controlled environments: 1. Theoretical framework and plot-scale analysis, Journal of Advances in Modeling Earth Systems, 2012, 4, 2
  15. 15
    Jaeil Cho, Taikan Oki, Application of temperature, water stress, CO2 in rice growth models, Rice, 2012, 5, 1, 10

    CrossRef

  16. 16
    E. N. Koffi, P. J. Rayner, M. Scholze, C. Beer, Atmospheric constraints on gross primary productivity and net ecosystem productivity: Results from a carbon-cycle data assimilation system, Global Biogeochemical Cycles, 2012, 26, 1
  17. 17
    T. Ziehn, M. Scholze, W. Knorr, On the capability of Monte Carlo and adjoint inversion techniques to derive posterior parameter uncertainties in terrestrial ecosystem models, Global Biogeochemical Cycles, 2012, 26, 3
  18. 18
    Xuhui Zhou, Tao Zhou, Yiqi Luo, Uncertainties in carbon residence time and NPP-driven carbon uptake in terrestrial ecosystems of the conterminous USA: a Bayesian approach, Tellus B, 2012, 64, 0

    CrossRef

  19. 19
    Sergey I. Bartsev, Andrey G. Degermendzhi, Pavel V. Belolipetsky, Models of the Ecological Hierarchy - From Molecules to the Ecosphere, 2012,

    CrossRef

  20. 20
    Adam Wolf, Philippe Ciais, Valentin Bellassen, Nicolas Delbart, Christopher B. Field, Joseph A. Berry, Forest biomass allometry in global land surface models, Global Biogeochemical Cycles, 2011, 25, 3
  21. 21
    T. Ziehn, J. Kattge, W. Knorr, M. Scholze, Improving the predictability of global CO2 assimilation rates under climate change, Geophysical Research Letters, 2011, 38, 10
  22. 22
    T. Ziehn, W. Knorr, M. Scholze, Investigating spatial differentiation of model parameters in a carbon cycle data assimilation system, Global Biogeochemical Cycles, 2011, 25, 2
  23. 23
    M. Groenendijk, A. J. Dolman, C. Ammann, A. Arneth, A. Cescatti, D. Dragoni, J. H. C. Gash, D. Gianelle, B. Gioli, G. Kiely, A. Knohl, B. E. Law, M. Lund, B. Marcolla, M. K. van der Molen, L. Montagnani, E. Moors, A. D. Richardson, O. Roupsard, H. Verbeeck, G. Wohlfahrt, Seasonal variation of photosynthetic model parameters and leaf area index from global Fluxnet eddy covariance data, Journal of Geophysical Research: Biogeosciences (2005–2012), 2011, 116, G4
  24. 24
    T. Thum, P. Räisänen, S. Sevanto, M. Tuomi, C. Reick, T. Vesala, T. Raddatz, T. Aalto, H. Järvinen, N. Altimir, K. Pilegaard, Z. Nagy, S. Rambal, J. Liski, Soil carbon model alternatives for ECHAM5/JSBACH climate model: Evaluation and impacts on global carbon cycle estimates, Journal of Geophysical Research: Biogeosciences (2005–2012), 2011, 116, G2
  25. 25
    W. Knorr, T. Kaminski, M. Scholze, N. Gobron, B. Pinty, R. Giering, P.-P. Mathieu, Carbon cycle data assimilation with a generic phenology model, Journal of Geophysical Research: Biogeosciences (2005–2012), 2010, 115, G4
  26. You have free access to this content26
    T. KAMINSKI, M. SCHOLZE, S. HOUWELING, Quantifying the benefit of A-SCOPE data for reducing uncertainties in terrestrial carbon fluxes in CCDAS, Tellus B, 2010, 62, 5
  27. 27
    Kevan B. Moffett, Adam Wolf, Joe A. Berry, Steven M. Gorelick, Salt marsh–atmosphere exchange of energy, water vapor, and carbon dioxide: Effects of tidal flooding and biophysical controls, Water Resources Research, 2010, 46, 10
  28. 28
    Theodore J. Bohn, Dennis P. Lettenmaier, Systematic biases in large-scale estimates of wetland methane emissions arising from water table formulations, Geophysical Research Letters, 2010, 37, 22
  29. 29
    D. Medvigy, S. C. Wofsy, J. W. Munger, D. Y. Hollinger, P. R. Moorcroft, Mechanistic scaling of ecosystem function and dynamics in space and time: Ecosystem Demography model version 2, Journal of Geophysical Research: Biogeosciences (2005–2012), 2009, 114, G1
  30. 30
    Tomomichi Kato, Akihiko Ito, Michio Kawamiya, Multiple temporal scale variability during the twentieth century in global carbon dynamics simulated by a coupled climate–terrestrial carbon cycle model, Climate Dynamics, 2009, 32, 7-8, 901

    CrossRef

  31. 31
    JENS KATTGE, WOLFGANG KNORR, THOMAS RADDATZ, CHRISTIAN WIRTH, Quantifying photosynthetic capacity and its relationship to leaf nitrogen content for global-scale terrestrial biosphere models, Global Change Biology, 2009, 15, 4
  32. 32
    Meaghan Murphy, Teri Balser, Nina Buchmann, Volker Hahn, Catherine Potvin, Linking tree biodiversity to belowground process in a young tropical plantation: Impacts on soil CO2 flux, Forest Ecology and Management, 2008, 255, 7, 2577

    CrossRef

  33. 33
    Gaëlle Damour, Marc Vandame, Laurent Urban, Long-term drought modifies the fundamental relationships between light exposure, leaf nitrogen content and photosynthetic capacity in leaves of the lychee tree (Litchi chinensis), Journal of Plant Physiology, 2008, 165, 13, 1370

    CrossRef

  34. 34
    T. Crueger, E. Roeckner, T. Raddatz, R. Schnur, P. Wetzel, Ocean dynamics determine the response of oceanic CO2 uptake to climate change, Climate Dynamics, 2008, 31, 2-3, 151

    CrossRef

  35. You have free access to this content35
    HAIFENG QIAN, RENU JOSEPH, NING ZENG, Response of the terrestrial carbon cycle to the El Niño-Southern Oscillation, Tellus B, 2008, 60, 4
  36. 36
    JosÉ A. Martinez-Lozano, VÍctor Estelles, Francisco Molero, JosÉ Luis Gomez-Amo, MarÍa Pilar Utrillas, Manuel Pujadas, Juan Carlos Fortea, Luis Guanter, Atmospheric Components Determination From Ground-Level Measurements During the Spectra Barax Campaigns (SPARC) Field Campaigns, IEEE Transactions on Geoscience and Remote Sensing, 2007, 45, 9, 2778

    CrossRef

  37. 37
    G. PIETERSE, A. BLEEKER, A. T. VERMEULEN, Y. WU, J. W. ERISMAN, High resolution modelling of atmosphere-canopy exchange of acidifying and eutrophying components and carbon dioxide for European forests, Tellus B, 2007, 59, 3
  38. 38
    W. Knorr, N. Gobron, M. Scholze, T. Kaminski, R. Schnur, B. Pinty, Impact of terrestrial biosphere carbon exchanges on the anomalous CO2 increase in 2002–2003, Geophysical Research Letters, 2007, 34, 9
  39. 39
    Qiang Yu, Shouhua Xu, Jing Wang, Xuhui Lee, Influence of leaf water potential on diurnal changes in CO2 and water vapour fluxes, Boundary-Layer Meteorology, 2007, 124, 2, 161

    CrossRef

  40. 40
    T J Bohn, D P Lettenmaier, K Sathulur, L C Bowling, E Podest, K C McDonald, T Friborg, Methane emissions from western Siberian wetlands: heterogeneity and sensitivity to climate change, Environmental Research Letters, 2007, 2, 4, 045015

    CrossRef

  41. 41
    M. Scholze, T. Kaminski, P. Rayner, W. Knorr, R. Giering, Propagating uncertainty through prognostic carbon cycle data assimilation system simulations, Journal of Geophysical Research: Atmospheres (1984–2012), 2007, 112, D17
  42. 42
    Michael E. Schaepman, Spectrodirectional remote sensing: From pixels to processes, International Journal of Applied Earth Observation and Geoinformation, 2007, 9, 2, 204

    CrossRef

  43. 43
    T. J. Raddatz, C. H. Reick, W. Knorr, J. Kattge, E. Roeckner, R. Schnur, K.-G. Schnitzler, P. Wetzel, J. Jungclaus, Will the tropical land biosphere dominate the climate–carbon cycle feedback during the twenty-first century?, Climate Dynamics, 2007, 29, 6, 565

    CrossRef

  44. 44
    VANESSA J. STAUCH, ANDREW J. JARVIS, A semi-parametric gap-filling model for eddy covariance CO2 flux time series data, Global Change Biology, 2006, 12, 9
  45. 45
    P. Friedlingstein, P. Cox, R. Betts, L. Bopp, W. von Bloh, V. Brovkin, P. Cadule, S. Doney, M. Eby, I. Fung, G. Bala, J. John, C. Jones, F. Joos, T. Kato, M. Kawamiya, W. Knorr, K. Lindsay, H. D. Matthews, T. Raddatz, P. Rayner, C. Reick, E. Roeckner, K.-G. Schnitzler, R. Schnur, K. Strassmann, A. J. Weaver, C. Yoshikawa, N. Zeng, Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison, Journal of Climate, 2006, 19, 14, 3337

    CrossRef

  46. 46
    Vivek K. Arora, George J. Boer, A parameterization of leaf phenology for the terrestrial ecosystem component of climate models, Global Change Biology, 2005, 11, 1
  47. 47
    S. Zaehle, S. Sitch, B. Smith, F. Hatterman, Effects of parameter uncertainties on the modeling of terrestrial biosphere dynamics, Global Biogeochemical Cycles, 2005, 19, 3
  48. 48
    R. Giering, T. Kaminski, T. Slawig, Generating efficient derivative code with TAF, Future Generation Computer Systems, 2005, 21, 8, 1345

    CrossRef

  49. 49
    Wolfgang Knorr, Jens Kattge, Inversion of terrestrial ecosystem model parameter values against eddy covariance measurements by Monte Carlo sampling, Global Change Biology, 2005, 11, 8
  50. 50
    Philippe Peylin, Philippe Bousquet, Corinne Le Quéré, Stephen Sitch, Pierre Friedlingstein, Galen McKinley, Nicolas Gruber, Peter Rayner, Philippe Ciais, Multiple constraints on regional CO2 flux variations over land and oceans, Global Biogeochemical Cycles, 2005, 19, 1
  51. 51
    N. Zeng, A. Mariotti, P. Wetzel, Terrestrial mechanisms of interannual CO2 variability, Global Biogeochemical Cycles, 2005, 19, 1
  52. 52
    P. J. Rayner, M. Scholze, W. Knorr, T. Kaminski, R. Giering, H. Widmann, Two decades of terrestrial carbon fluxes from a carbon cycle data assimilation system (CCDAS), Global Biogeochemical Cycles, 2005, 19, 2
  53. 53
    Nophea Kim Phat, Wolfgang Knorr, Sophanarith Kim, Appropriate measures for conservation of terrestrial carbon stocks—Analysis of trends of forest management in Southeast Asia, Forest Ecology and Management, 2004, 191, 1-3, 283

    CrossRef

  54. 54
    Hirofumi Hashimoto, Ramakrishna R. Nemani, Michael A. White, William M. Jolly, Steve C. Piper, Charles D. Keeling, Ranga B. Myneni, Steven W. Running, El Niño–Southern Oscillation–induced variability in terrestrial carbon cycling, Journal of Geophysical Research: Atmospheres (1984–2012), 2004, 109, D23
  55. 55
    Bunkei Matsushita, Ming Xu, Jin Chen, Satoshi Kameyama, Masayuki Tamura, Estimation of regional net primary productivity (NPP) using a process-based ecosystem model: How important is the accuracy of climate data?, Ecological Modelling, 2004, 178, 3-4, 371

    CrossRef

  56. 56
    Matthias Cuntz, Philippe Ciais, Georg Hoffmann, Wolfgang Knorr, A comprehensive global three-dimensional model of δ18O in atmospheric CO2: 1. Validation of surface processes, Journal of Geophysical Research: Atmospheres (1984–2012), 2003, 108, D17
  57. 57
    Vivek K. Arora, George J. Boer, A Representation of Variable Root Distribution in Dynamic Vegetation Models, Earth Interactions, 2003, 7, 6, 1

    CrossRef

  58. 58
    Tim G. Reichenau, Gerd Esser, Is interannual fluctuation of atmospheric CO2 dominated by combined effects of ENSO and volcanic aerosols?, Global Biogeochemical Cycles, 2003, 17, 4
  59. 59
    Vivek K. Arora, Simulating energy and carbon fluxes over winter wheat using coupled land surface and terrestrial ecosystem models, Agricultural and Forest Meteorology, 2003, 118, 1-2, 21

    CrossRef

  60. 60
    D. A. Clark, S. C. Piper, C. D. Keeling, D. B. Clark, Tropical rain forest tree growth and atmospheric carbon dynamics linked to interannual temperature variation during 1984-2000, Proceedings of the National Academy of Sciences, 2003, 100, 10, 5852

    CrossRef

  61. 61
    R. L. Langenfelds, R. J. Francey, B. C. Pak, L. P. Steele, J. Lloyd, C. M. Trudinger, C. E. Allison, Interannual growth rate variations of atmospheric CO2 and its δ13C, H2, CH4, and CO between 1992 and 1999 linked to biomass burning, Global Biogeochemical Cycles, 2002, 16, 3
  62. 62
    Vivek Arora, MODELING VEGETATION AS A DYNAMIC COMPONENT IN SOIL-VEGETATION-ATMOSPHERE TRANSFER SCHEMES AND HYDROLOGICAL MODELS, Reviews of Geophysics, 2002, 40, 2
  63. 63
    Mustapha El Maayar, David T. Price, T. Andrew Black, Elyn R. Humphreys, Eva-Maria Jork, Sensitivity tests of the integrated biosphere simulator to soil and vegetation characteristics in a pacific coastal coniferous forest, Atmosphere-Ocean, 2002, 40, 3, 313

    CrossRef

  64. 64
    Damian J. Barrett, Steady state turnover time of carbon in the Australian terrestrial biosphere, Global Biogeochemical Cycles, 2002, 16, 4
  65. 65
    Wolfgang Knorr, Martin Heimann, Uncertainties in global terrestrial biosphere modeling, Part II: Global constraints for a process-based vegetation model, Global Biogeochemical Cycles, 2001, 15, 1
  66. 66
    Wolfgang Knorr, Martin Heimann, Uncertainties in global terrestrial biosphere modeling: 1. A comprehensive sensitivity analysis with a new photosynthesis and energy balance scheme, Global Biogeochemical Cycles, 2001, 15, 1
  67. 67
    Wolfgang Knorr, Venkataraman Lakshmi, Assimilation of FAPAR and Surface Temperature into a Land Surface and Vegetation Model,