[Anav, A., Frielingstein, P., Beer, C., Ciais, P., Harper, A., Jones, C. et al., 2015: Spatio-temporal patterns of terrestrial gross primary production. Reviews of Geophysics, 53:785-818. 10.1002/2015RG000483]Search in Google Scholar
[Aubinet, M., Grelle, A., Ibrom, A., Rannik, U., Moncrieff, J., Foken, T. et al., 2000 : Estimates of the annual net carbon and water exchange of forests: The EUROFLUX methodology, Advances in Ecological Research, 30:113-175. 10.1016/S0065-2504(08)60018-5]Open DOISearch in Google Scholar
[Aubinet, M., Heinesch, B., Perrin, D., Moureaux, C., 2005: Discriminating net ecosystem exchange between different vegetation plots in a heterogeneous forest. Agricultural and Forest Meteorology, 132: 315-328. 10.1016/j.agrformet.2005.08.006]Search in Google Scholar
[Aubinet, M., Vesala, T., Papale, D. (eds.), 2012: Eddy Covariance: A Practical Guide to Measurement and Data Analysis. Springer Atmospheric Sciences, Dordrecht, Netherlands, 424 p. 10.1007/978-94-007-2351-1]Search in Google Scholar
[Botkin, D., 1993: Forest Dynamics: An Ecological Model. Oxford University Press, Oxford & New York, UK. 309 p. ]Search in Google Scholar
[Braswell, B. H., Sacks, W. J., Linder, E., Schimel, D. S., 2005: Estimating diurnal to annual ecosystem parameters by synthesis of a carbon flux model with eddy covariance net ecosystem exchange observations. Global Change Biology, 11:335-355. 10.1111/j.1365-2486.2005.00897.x]Open DOISearch in Google Scholar
[Bugmann, H., Grote, R., Lasch, P., Lindner, M., Suckow, F., 1997: A new forest gap model to study the effects of environmental change on forest structure and functioning. In: Mohren, G. M. J., Kramer, K., Sabate, S. (eds.): Impacts of Global Change of Tree Physiology and Forest Ecosystem. Kluwer Academic Publisher, Dordrecht, The Netherlands, p. 255-261.10.1007/978-94-015-8949-9_33]Search in Google Scholar
[Calvet, J. C., Noilhan, J., Roujean, J. L., Bessemoulin, P., Cabelguenne, M., Olioso, A. et al., 1998: An interactive vegetation SVAT model tested against data from six contrasting sites. Agricultural and Forest Meteorology, 92:73-95. 10.1016/S0168-1923(98)00091-4]Open DOISearch in Google Scholar
[Carrer, D., Roujean, J. L., Lafont, S., Calvet, J. C., Boone, A., Decharme, B. et al., 2013: A canopy radiative transfer scheme with explicit FAPAR for the interactive vegetation model ISBA-A-gs: impact on carbon fluxes. Journal of Geophysical Research: Biogeosciences, 118:888-903. 10.1002/jgrg.20070]Open DOISearch in Google Scholar
[Chen, C. W., 1993: The response of plants to interacting stresses: PGSM Version 1.3 Model Documentation. EPRI TR-101880. Electric Power Research Institute, Palo Alto, CA, USA, 128 p.]Search in Google Scholar
[Collatz, G. J., Ball, J. T., Grivet, C., Berry, J. A., 1991: Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer. Agricultural and Forest Meteorology, 54:107-136. 10.1016/0168-1923(91)90002-8]Open DOISearch in Google Scholar
[Crowther, T. W., Todd-Brown, K. E. O., Rowe C. W., Wieder, W. R., Carey, J. C., Machmuller, M. B. et al., 2016: Quantifying global soil carbon losses in response to warming. Nature, 540:104-108. ]Search in Google Scholar
[Davidson, R. L., 1969: Effect of root/leaf temperature differentials on root/shoot ratios in some pasture grasses and clover. Annals of Botany, 33:561-569. 10.1093/oxfordjournals.aob.a084308]Open DOISearch in Google Scholar
[Decharme, B., Boone, A., Delire, C., Noihlan, J., 2011: Local evaluation of the interaction between soil biosphere atmosphere soil multilayer diffusion scheme using four pedotransfer functions. Journal of Geophysical Research: Biogeosciences, 116:1984-2012. 10.1029/2011JD016002]Search in Google Scholar
[De Pury, D. G., Farquhar, G. D., 1997: Simple scaling of photosynthesis from leaves to canopies without the errors of big-leaf models. Plant, Cell and Environment, 20:537-557. 10.1111/j.1365-3040.1997.00094.x]Open DOISearch in Google Scholar
[Dietze, M. C., Vargas, R., Richardson, A. D., Stoy, P. C., Barr, A. G., Anderson, R. S. et al., 2011: Characterizing the performance of ecosystem models across time scales: a spectral analysis of the North American Carbon Program site-level synthesis. Journal of Geophysical Research: Biogeosciences, 116: G04029.10.1029/2011JG001661]Search in Google Scholar
[Dury, M., Hambuckers, A., Warnant, P., Henrot, A.-J., Favre, E., Ouberdous, M. et al., 2011: Response of the European forests to climate change: a modelling approach for the 21st century. iForest - Biogeosciences and Forestry, 4:82-99. 10.3832/ifor0572-004]Open DOISearch in Google Scholar
[Dyck, S., Peschke, G., 1995: Grundlagen der Hydrologie. Verlag für Bauwesen, Berlin, Germany, 536 p. ]Search in Google Scholar
[Farquhar, G. D., von Caemmerer, S., Berry, J. A., 1980: A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta, 149:78-90. 10.1007/BF00386231]Search in Google Scholar
[Fischer, J. B., Huntzinger, D. N., Schwalm, C. R., Sitch, S., 2014: Modeling the terrestrial biosphere. Annual Review of Environment and Resources, 39:91-123. 10.1146/annurev-environ-012913-093456]Search in Google Scholar
[François, L. M., Delire, C., Warnant, P., Munhoven, G., 1998: Modelling the glacial-interglacial changes in the continental biosphere. Global Planetary Change, 16-17:37-52. 10.1016/S0921-8181(98)00005-8]Search in Google Scholar
[François, L., Utescher, T., Favre, E., Henrot, A.-J., Warnant, P., Micheels, A. et al., 2011: Modelling late Miocene vegetation in Europe: results of the CARAIB model and comparison with palaeo-vegetation data. Palaeogeography, Palaeoclimatology, Palaeoecology, 304:359-378.10.1016/j.palaeo.2011.01.012]Search in Google Scholar
[Franko, U., 1990: C- und N-Dynamik beim Umsatz organischer Substanz im Boden. Akademie der Landwirtschaftswissenschaften der DDR, Dissertation 2, Berlin, Germany, 140 p. ]Search in Google Scholar
[Gérard, J. C., Nemry, B., François, L. M., Warnant, P., 1999. The interannual change of atmospheric CO2: contribution of subtropical ecosystems? Geophysical Research Letters, 26:243-246. 10.1029/1998GL900269]Open DOISearch in Google Scholar
[Gibelin, A. L., Calvet, J. C., Viovy, N., 2008: Modelling energy and CO2 fluxes with an interactive vegetation land surface model, evaluation at high and middle latitudes. Agricultural and Forest Meteorology, 148:1611-1628. 10.1016/j.agrformet.2008.05.013]Search in Google Scholar
[Glugla, G., 1969: Berechnungsverfahren zut Ermittlung des aktuellen Wassergehaltes und Gravitationswasserabflusses im Boden. Albrech-Thaer-Archiv, 13:71-376. 10.1080/03650346909413005]Search in Google Scholar
[Golyandina, N., Zhigljavsky, A., 2013 (eds.): Singular Spectrum Analysis for Time Series. Springer Briefs in Statistics, Springer, Heidelberg, Germany, 119 p. 10.1007/978-3-642-34913-3]Search in Google Scholar
[Goudriaan, J., van Laar, H. H., van Keulen, H., Louwerse, W., 1985: Photosynthesis, CO2 and plant production. In: Day, W., Atkin, R. K. (eds.). Wheat Growth and Modelling. Plenum Press, New York, USA. NATO AS/ Series, Series A, 86:107-122. 10.1007/978-1-4899-3665-3_10]Search in Google Scholar
[Goudriaan, J., 1986: A simple and fast numerical method for the computation of daily totals of crop photosynthesis. Agricultural and Forest Meteorology, 38:249-254. 10.1016/0168-1923(86)90063-8]Open DOISearch in Google Scholar
[Grote, R., Suckow, F., Bellmann, K., 1998: Modelling of carbon-, nitrogen-, and water balances in pine stands under changing air pollution and deposition. In: Hüttl, R. F. and Bellmann, K. (eds.): Changes of Atmospheric Chemistry and Effects on Forest Ecosystems. A Roof Experiment Without Roof. Kluwer Publishers, Dordrecht, The Netherlands, p. 251-281.10.1007/978-94-015-9022-8_14]Search in Google Scholar
[Haxeltine, A., Prentice I. C., 1996: A general model for the light-use efficiency of primary production. Functional Ecology, 10:551-561. 10.2307/2390165]Search in Google Scholar
[Henrot, A. - J. , Utescher, T., Erdei,B., Dury, M., Hamon, N., Ramstein, G. et al., 2017: Middle Miocene climate and vegetation models and their validation with proxy data. Palaeogeography, Palaeoclimatology, Palaeoecology, 467:95-119. 10.1016/j.palaeo.2016.05.026]Search in Google Scholar
[Hickler, T., Vohland, K., Feehan, J., Miller, P. A., Smith, B., Costa, L. et al., 2012: Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species-based dynamic vegetation model. Global Ecology and Biogeography, 21:50-63. 10.1111/j.1466-8238.2010.00613.x]Search in Google Scholar
[Hickler, T., Amming, A., Werner, C., 2015: Modelling CO2 impacts on forest productivity. Current Forestry Reports, 1:69-80. 10.1007/s40725-015-0014-8]Search in Google Scholar
[Hollinger, D. Y., Richardson, A. D., 2005: Uncertainty in eddy covariance measurements and its application to physiological models. Tree Physiology, 25:873-885. 10.1093/treephys/25.7.87315870055]Open DOISearch in Google Scholar
[Jacobs, C. M. J., 1994: Direct impact of atmospheric CO2 enrichment on regional transpiration, PhD thesis, Agricultural University, Wageningen, The Netherlands, 192 p. ]Search in Google Scholar
[Jansson P. - E., 1991: Simulation model for soil water and heat conditions. Description of the SOIL model (vol. 165). Swedish University of Agricultural Sciences, Department of Soil Sciences, Division of Agricultural Hydrotechnics, Uppsala, Sweden, 72 p. ]Search in Google Scholar
[Joetzjer, E., Delire, C., Douville, H., Ciais, P., Decharme, B., Carrer, D. et al., 2015: Improving the ISBACC land surface model simulation of water and carbon fluxes and stocks over the Amazon forest. Geoscientific Model Development, 8:1709-1727. 10.5194/gmd-8-1709-2015]Search in Google Scholar
[Jorritsma, I. T. M., van Hees, A. F. M., Mohren G. M. J., 1999: Forest development in relation to ungulate grazing: A modeling approach. Forest Ecology and Management, 120:23-34. 10.1016/S0378-1127(98)00540-4]Search in Google Scholar
[Kartschall, T., Döring, P., Suckow, F., 1989: Simulation of nitrogen, water and temperature dynamics in soil. Systems Analysis Modelling Simulation Journal, 6:117-123. ]Search in Google Scholar
[Keane, R. E., Morgan, P., Running, S. W., 1996: FIRE-BGC - a mechanistic ecological process model for simulating fire succession on coniferous forest landscapes of the northern Rocky Mountains. Research Paper INT-RP-484, United States Department of Agriculture, Forest Service, Intermountain Research Station, Missoula, MT, USA, 122 p. ]Search in Google Scholar
[Keenan, T. F., Baker, I., Barr, A., Ciais, P., Davis, K., Dietze, M. et al., 2012: Terrestrial biosphere model performance for inter-annual variability of landatmoshpere CO2 exchange. Global Change Biology, 18:1971-1987. 10.1111/j.1365-2486.2012.02678.x]Open DOISearch in Google Scholar
[Koitzsch, R., 1977: Schätzung der Bodenfeuchte aus meteorologischen Daten, Boden- und Pflanzenparametern mit einem Mehrschichtmodell. Zeitschrift fur Meteorologie, 27:302-306. ]Search in Google Scholar
[Krause, P., Boyle, D. P., Base, F., 2005: Comparison of different efficiency criteria for hydrological model assessment. Advances in Geosciences, 5:89-97. 10.5194/adgeo-5-89-2005]Search in Google Scholar
[Landsberg, J. J., Waring, R. H., 1997: A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. Forest Ecology and Management, 95:209-228. 10.1016/S0378-1127(97)00026-1]Search in Google Scholar
[Le Quéré, C., Andrew, M., Canadell, J. G., Sitch, S., Korsbakken, J. I., Peters, G. P. et al., 2016: Global carbon budget 2016. Earth System Science Data, 8:605-649. ]Search in Google Scholar
[Larocque, G. R., Bhatti, J., Arsenault, A., 2014: Integrated modelling software platform development for effective use of ecosystem models. Ecological Modelling, 288:195-202. 10.1016/j.ecolmodel.2014.06.011]Search in Google Scholar
[Lasch, P., Badeck, F. - W., Suckow, F., 2005: Modelbased analysis of management alternatives at stand and regional level in Brandenburg (Germany). Forest Ecology and Management, 207:59-74. 10.1016/j.foreco.2004.10.034]Search in Google Scholar
[Lasch, P., Badeck, F. - W., Suckow, F., Lindner, M., Mohr, P., 2005: Model-based analysis of management alternatives at stand and regional level in Brandenburg (Germany). Forest Ecolgy and Management, 207:59-74. 10.1016/j.foreco.2004.10.034]Search in Google Scholar
[Lasch-Born, P., Suckow, F., Gutsch, M., Reyer, C., Hauf, Y., Murawski, A. L. et al., 2015: Forests under climate change: potential risks and opportunities. Meteorologische Zeischrift, 24:157-172. 10.1127/metz/2014/0526]Search in Google Scholar
[Lau, K. M., Wang, H. - Y., 1995: Climate signal detection using wavelet transform: How to make a time series sing? Bulletin of the American Meteorological Society, 76:2391-2402. 10.1175/1520-0477(1995)076<2391:CSDUWT>2.0.CO;2]Open DOISearch in Google Scholar
[Laurent, J. - M., François, L., Bar-Hen, A., Bel, L., Cheddadi, R., 2008: European bioclimatic affinity groups: data-model comparisons. Global and Planetary Change, 61:28-40. 10.1016/j.gloplacha.2007.08.017]Open DOISearch in Google Scholar
[Law, B. E., Falge, E., Gu, L., Baldocchi, D. D., Bakwin, P., Berbigier, P. et al., 2002: Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation. Agricultural and Forest Meterology, 113:97-120. 10.1016/S0168-1923(02)00104-1]Search in Google Scholar
[Li, H., Zhang, F., Li, Y., Wang, J., Zhang, L., Zhao, L. et al., 2016: Seasonal and inter-annual variations in CO2 fluxes over 10 years in an alpine shrubland on the Qinghai-Tibetan plateau, China. Agricultural and Forest Meteorology, 228-229:95-103. 10.1016/j.agrformet.2016.06.020]Search in Google Scholar
[Li, X. R., Zhao, Z., 2006: Evaluation of estimation algorithms, part I: Incomprehensive measures of performances. IEEE Transactions on Aerospace and Electronic Systems, 42:1340-1358. 10.1109/TAES.2006.314576]Open DOISearch in Google Scholar
[Lloyd, J., Taylor, J. A., 1994: On the temperature dependence of soil respiration. Functional Ecology, 8:315- 323 10.2307/2389824]Search in Google Scholar
[Loehle, C., LeBlanc, D., 1996: Model-based assessments of climate change effects on forests: a critical review. Ecological Modelling, 90:1-31. 10.1016/0304-3800(96)83709-4]Search in Google Scholar
[Mahecha, M. D., Reichstein, M., Lange, H., Carvalhais, N., Bernhofer, C., Grünwald, T. et al., 2007: Characterizing ecosystem-atmosphere interactions from short to interannual time scales. Biogeosciences, 4:743-758. 10.5194/bg-4-743-2007]Open DOISearch in Google Scholar
[Mahecha, M. D.,Reichstein, M., Jung, M., Seneviratne, S. I., Zaehle, S., Beer, C. et al., 2010: Comparing observations and process-based simulations of biosphere- atmosphere exchange on multiple time scales. Journal of Geophysical Research: Atmospheres, 101:7111-7125. 10.1029/2009JG001016]Search in Google Scholar
[Mäkelä, A., 1990: Modeling structural-functional relationships in whole-tree growth: resource allocation. In: Dixon, R. K., Meldahl, R. S., Ruark, G. A., Warren, W. G (eds.): Process Modeling of Forest Growth Responses to Environmental Stress. Timber Press, Portland, Oregon, 81-95.]Search in Google Scholar
[Masson, V., Le Moigne, P., Martin, E., Faroux, S., Alias, A., Alkama, R. et al., 2013: The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of Earth surface variables and fluxes. Geoscientific Model Development, 6:929-960. 10.5194/gmd-6-929-2013]Search in Google Scholar
[Medlyn, B. E., Robinson, A. P., Clement, R., McMurtrie, E., 2005: On the validation of models of forest CO2 exchange using eddy covariance data: some perils and pitfalls. Tree Physiology, 25:839-857. 10.1093/treephys/25.7.83915870053]Open DOISearch in Google Scholar
[Mintz, Y., Walker, G., 1993 : Global fields of soil moisture and land surface evapotranspiration derived from observed precipitation and surface air temperature. Journal of Applied Meteorology, 32:1305-1334. 10.1175/1520-0450(1993)032<1305:GFOSMA>2.0.CO;2]Open DOISearch in Google Scholar
[Nash, J. E., Sutcliffe, J. V., 1970: River flow forecasting through conceptual models part I - A discussion of principles. Journal of Hydrology, 10:282-290. 10.1016/0022-1694(70)90255-6]Search in Google Scholar
[Nemry, B., François, L. M., Warnant, P., Robinet, F., Gérard, J. C., 1996 : The seasonality of the CO2 exchange between the atmosphere and the land biosphere: a study with a global mechanistic vegetation model. Journal of Geophysical Research-Atmospheres, 101:7111-7125. 10.1029/95JD03656]Search in Google Scholar
[Noilhan, J., Planton, S., 1989: A simple parameterization of land surface processes for meteorological models. Monthly Weather Review, 117:536-549. 10.1175/1520-0493(1989)117<0536:ASPOLS>2.0.CO;2]Search in Google Scholar
[Noilhan, J., Mahfouf, J. F., 1996: The ISBA land surface parameterization scheme. Global and Planetary Change, 13:145-159. 10.1016/0921-8181(95)00043-7]Open DOISearch in Google Scholar
[Otto, D., Rasse, D., Kaplan, J., Warnant, P., François, L., 2002 : Biospheric carbon stocks reconstructed and the Last Glacial Maximum: comparison between general circulation models using prescribed and computed sea surface temperature. Global Planetary Change, 33:117-138.10.1016/S0921-8181(02)00066-8]Search in Google Scholar
[Pan S., Tian, H., Dangal, S. R. S., Ouyang, Z., Tao, B., Ren, W. et al., 2014: Modeling and monitoring terrestrial primary production in a changing global environment: toward a multiscale synthesis of observation and simulation. Advances in Meteorology, 2014:1-17. 10.1155/2014/965936]Search in Google Scholar
[Parton, W. J., Schimel, D. S., Cole, C. V., Ojima, D. S., 1987: Analysis of factors controlling soil organic matter levels in Great Plains grasslands. Soil Science Society of America Journal, 51:1173-1179. 10.2136/sssaj1987.03615995005100050015x]Open DOISearch in Google Scholar
[Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Valentini, R., Aubinet, M. et al., 2005: On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global Change Biology, 11:1-16. 10.1111/j.1365-2486.2005.001002.x]Search in Google Scholar
[Reyer, C., 2015: Forest productivity under environmental change - a review of stand-scale modeling studies. Current Forestry Reports, 1:53-68. 10.1007/s40725-015-0009-5]Search in Google Scholar
[Richardson, A. D., Mahecha, M. D., Falge, E., Kattge, J., Moffat, A. M., Papale, D. et al., 2008: Statistical properties of random CO2 flux measurement uncertainty inferred from model residuals. Agricultural and Forest Meteorology, 148:38-50. 10.1016/j.agrformet.2007.09.001]Search in Google Scholar
[Richardson, A. D., Anderson, R. S., Arian, M. A., Barr, A. G., Bohrer, G., Chen, G. et al., 2012: Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site synthesis. Global Change Biology, 18:566-584. 10.1111/j.1365-2486.2011.02562.x]Open DOISearch in Google Scholar
[Running, S. W., Gower, S. T., 1991: FOREST-BGC, A general model of forest ecosystem processes for regional applications II. Dynamic carbon allocation and nitrogen budgets. Tree Physiology, 9:147-160. 10.1093/treephys/9.1-2.147]Search in Google Scholar
[Saxton, K., Rawls, W. J., Romberger, J., Papendick, R., 1986: Estimating generalized soil-water characteristics from texture. Soil Science Society of America Journal, 50:1031-1036. 10.2136/sssaj1986.03615995005000040039x]Open DOISearch in Google Scholar
[Schaber, J., Badeck, F. - W., 2003: Physiology based phenology models for forest tree species in Germany. International Journal of Biometeorology, 47:193-201. 10.1007/s00484-003-0171-5]Open DOISearch in Google Scholar
[Schultz, M., Mudelsee, M., 2002: REDFIT: estimating red-noise spectra directly from unevenly spaced paleoclimatic time series. Computers & Geosciences, 28:421-426. 10.1016/S0098-3004(01)00044-9]Search in Google Scholar
[Shinozaki, K., Yoda, K., Hozumi, K., Kira, T., 1964: A quantitative analysis of plant form - the pipe model theory. I. Basic analysis. Japanese Journal of Ecology, 14:97-105. ]Search in Google Scholar
[Siqueira M. B., Katul, G. G., Sampson, D. A., Stoy, P. C., Juang, J. - Y., McCarthy, H. R. et al., 2006: Multiscale model intercomparisons of CO2 and H2O exchange rates in a maturing southeastern US pine forest. Global Change Biology, 12:1189-1207. 10.1111/j.1365-2486.2006.01158.x]Open DOISearch in Google Scholar
[Stoy, P. C., Katul, G. G., Siqueira, M. B., Juang, J. - Y., McCarthy, H. R., Kim, H. - S. et al., 2005: Variability in net ecosystem exchange from hourly to interannual time scales at adjacent pine and hardwood forests: a wavelet analysis. Tree Physiology, 25:887-902. 10.1093/treephys/25.7.887]Open DOISearch in Google Scholar
[Suckow, F., Badeck, F. - W. Lasch, P., Schaber, J., 2001: Nutzung von Level-II-Beobachtungen für Test und Anwendungen des Sukzessionsmodells FORESEE. Beiträge für Forstwirtschaft und Landschaftsökologie, 35:84-87. ]Search in Google Scholar
[Sykes, M. T., Prentice, I. C., 1996: Carbon storage and climate change in Swedish forests: A comparison of static and dynamic modelling approaches. In: Apps, M. J., Price, D. T. (eds.). Forest Ecosystems, Forest Management and the Global Carbon Cycle. Springer-Verlag, Berlin, Germany, NATO ASI Series, 40:69-78.10.1007/978-3-642-61111-7_7]Search in Google Scholar
[Torrence, C., Compo, G. P., 1998: A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79:61-78. 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2]Open DOISearch in Google Scholar
[Trudinger, C. M., Raupach, M. R., Rayner, P. J., Kattge, J., Liu, Q., Pak, B. et al., 2007: OptIC project: An intercomparison of optimization techniques for parameter estimation in terrestrial biogeochemical models. Journal of Geophysical Research, 112: G02027. 10.1029/2006JG000367]Search in Google Scholar
[Uppala, S. M., Kallberg, P. W., Simmons, A. J., Andrea, U., Da Costa Bechtold, V., Fiorino, M. et al., 2005: The ERA-40 re-analysis. Quarterly Journal of the Royal Meteorological Society, 131:2961-3012. 10.1256/qj.04.176]Search in Google Scholar
[Vinnichenko, N., 1970: The kinetic energy spectrum in the free atmosphere - 1 second to 5 years. Tellus, 22:158-166. 10.3402/tellusa.v22i2.10210]Open DOISearch in Google Scholar
[Walker, W. E., Harremoes, P. J., Rotmans, J., Van Der Sluis, J. P., Van Asselt, M. B. A., Janssen, P. et al., 2003: Defining uncertainty: a conceptual basis for uncertainty management in model-based decision support. Integrated Assessment, 4:5-17. 10.1076/iaij.4.1.5.16466]Open DOISearch in Google Scholar
[Wang, T., Brender, P., Ciais, P., Piao, S., Mahecha, M., Chevalier, F. et al., 2012: State-dependent errors in a land surface model across biomes inferred from eddy covariance observations on multiple timescales. Ecological Modelling, 246:11-25. 10.1016/j.ecolmodel.2012.07.017]Search in Google Scholar
[Warnant, P., François, L. M., Strivay, D., Gérard, J.-C., 1994: CARAIB: a global model of terrestrial biological productivity. Global Biogeochemical Cycles, 8:255-270. 10.1029/94GB00850]Search in Google Scholar
[Warnant, P., 1999: Modélisation du cycle du carbone dans la biosphère continentale à l’échelle globale. PhD thesis, Université de Liège, Liège, 276 p. ]Search in Google Scholar
[Wythers, K. R., Reich, P. B., Tjoelker, M. G., Bolstad, P. B., 2005: Foliar respiration acclimation to temperature variable Q10 alter ecosystem carbon balance. Global Change Biology, 11:435-449. 10.1111/j.1365-2486.2005.00922.x]Search in Google Scholar