Publications of W. Knorr

Raddatz, T. J.; Reick, C. H.; Knorr, W.; Kattge, J.; Roeckner, E.; Schnur, R.; Schnitzler, K. G.; Wetzel, P.; Jungclaus, J.: Will the tropical land biosphere dominate the climate-carbon cycle feedback during the twenty-first century? Climate Dynamics 29 (6), pp. 565 - 574 (2007)

Knorr, W.; Kattge, J.: Inversion of terrestrial ecosystem model parameter values against eddy covariance measurements by Monte Carlo sampling. Global Change Biology 11 (8), pp. 1333 - 1351 (2005)

Knorr, W.; Prentice, I. C.; House, J. I.; Holland, E. A.: Long-term sensitivity of soil carbon turnover to warming. Nature 433 (7023), pp. 298 - 301 (2005)

Rayner, P. J.; Scholze, M.; Knorr, W.; Kaminski, T.; Giering, R.; Widmann, H.: Two decades of terrestrial carbon fluxes from a carbon cycle data assimilation system (CCDAS). Global Biogeochemical Cycles 19 (2), p. GB2026 (2005)

Knorr, W.; Gobron, N.; Schnur, R.; Scholze, M.; Pinty, B.: The ENSO signature in land surface photosynthetic activity. EOS, Transactions of the American Geophysical Union 85 Fall Meet. Suppl. (47), pp. A33B - 05 (2004)

Cuntz, M.; Ciais, P.; Hoffmann, G.; Allison, C. E.; Francey, R. J.; Knorr, W.; Tans, P. P.; White, J. W. C.; Levin, I.: A comprehensive global three-dimensional model of δ¹⁸O in atmospheric CO₂: 2. Mapping the atmospheric signal. Journal of Geophysical Research: Atmospheres 108 (D17), p. 4528 (2003)

Cuntz, M.; Ciais, P.; Hoffmann, G.; Knorr, W.: A comprehensive global three-dimensional model of δ¹⁸O in atmospheric CO₂: 1. Validation of surface processes. Journal of Geophysical Research: Atmospheres 108 (D17), p. 4527 (2003)

Scholze, M.; Kaplan, J. O.; Knorr, W.; Heimann, M.: Climate and interannual variability of the atmosphere-biosphere ¹³CO₂ flux. Geophysical Research Letters 30 (2), 1097 (2003)

Scholze, M.; Knorr, W.; Heimann, M.: Modelling terrestrial vegetation dynamics and carbon cycling for an abrupt climatic change event. The Holocene 13 (3), pp. 327 - 333 (2003)

Kaminski, T.; Knorr, W.; Rayner, P. J.; Heimann, M.: Assimilating atmospheric data into a terrestrial biosphere model: A case study of the seasonal cycle. Global Biogeochemical Cycles 16 (4), p. 1066 (2002)

Kaplan, J. O.; Prentice, I. C.; Knorr, W.; Valdes, P. J.: Modeling the dynamics of terrestrial carbon storage since the Last Glacial Maximum. Geophysical Research Letters 29 (22), p. 2074 (2002)

Knorr, W.; Heimann, M.: Uncertainties in global terrestrial biosphere modeling, Part I: A comprehensive sensitivity analysis with a new photosynthesis and energy balance scheme. Global Biogeochemical Cycles 15 (1), pp. 207 - 225 (2001)

Knorr, W.; Heimann, M.: Uncertainties in global terrestrial biosphere modeling, part II: Global constraints for a process-based vegetation model. Global Biogeochemical Cycles 15 (1), pp. 227 - 246 (2001)

Knorr, W.; Schnitzler, K.-G.; Govaerts, Y.: The role of bright desert regions in shaping North African climate. Geophysical Research Letters 28 (18), pp. 3489 - 3492 (2001)

Knorr, W.: Annual and interannual CO₂ exchanges of the terrestrial biosphere: process-based simulations and uncertainties. Global Ecology and Biogeography 9 (3), pp. 225 - 252 (2000)

Schnitzler, K. G.; Knorr, W.; Latif, M.: Vegetation feedback on Sahelian rainfall variability in a coupled climate-land-vegetation model. Max-Planck-Institut für Meteorologie, Hamburg (2001)

Kaminski, T.; Giering, R.; Scholze, M.; Rayner, P.; Knorr, W.: An example of an automatic differentiation-based modelling system. In: Computational Science and its Applications - ICCSA 2003, Pt 2, Proceedings, Vol. 2668, pp. 95 - 104 (Eds. Kumar, V.; Gavrilova, M.L.; Tan, C.J.K.; L'ecuyer, P.). Springer, Heidelberg (2003)

Knorr, W.; Lakshmi, V.: Assimilation of fAPAR and surface temperature into a land surface and vegetation model. In: Land surface hydrology, meteorology and climate: observations and modeling, Vol. 3, pp. 177 - 200 (Eds. Lakshmi, V.; Albertson, J.; Schaake, J.). American Geophysical Union, Washington D.C. (2001)

Knorr, W.; Schulz, J.-P.: Using satellite data assimilation to infer global soil moisture status and vegetation feedback to climate. In: Remote sensing and climate modeling: Synergies and limitations, Vol. 7, pp. 273 - 306 (Eds. Beniston, M.; Verstraete, M. M.). Kluwer, Dordrecht, Netherlands (2001)