Project > Models References

Model references

ModelReferences
SUNDIALBradbury NJ, Whitmore AP, Hart PBS, Jenkinson, DS (1993) Modelling the fate of nitrogen in crop and soil in the years following application of 15N-labelled fertilizer to winter wheat. Journal of Agricultural Science, Cambridge, 121, 363-379. (describes the development of the N routines)
 Coleman K, Jenkinson DS (1996) RothC-26.3- A Model for the turnover of carbon in soil. In: Evaluation of Soil Organic Matter Models Using Existing, Long-Term Datasets, NATO ASI Series I, Vol.38 (eds Powlson DS, Smith P, Smith JU), pp. 237-246. Springer-Verlag, Heidelberg, Germany. (describes the development of the underlying C routines)
 Smith JU, Bradbury NJ, Addiscott TM (1996) SUNDIAL: A PC-based system for simulating nitrogen dynamics in arable land. Agronomy Journal, 88, 38-43. (describes an early application of the model)
 Smith, P., Whitmore, A.P., Wechsung, F., Donatelli, M., Coleman, K., Yin, X., Cramer, W., Smith, J.U. & Agostini, F. 2000. The MAGEC Project: A Regional-Scale Tool For Examining The Effects Of Global Change On Agro-Ecosystems. In: Terrestrial Ecosystems Research in Europe: successes, challenges and policy. (ed. M.A. Sutton, J.M. Moreno, W.H. van der Putten & S. Struwe) EU-Directorate General for Research, Brussels, Belgium: 182-183 (briefly describes how the soils and crop models were brought together).
 Smith, P., Smith, J.U., Flynn, H., Killham, K., Rangel-Castro, I., Foereid, B., Aitkenhead, M., Chapman, S., Towers, W., Bell, J., Lumsdon, D., Milne, R., Thomson, A., Simmons, I., Skiba, U., Reynolds, B., Evans, C., Frogbrook, Z., Bradley, I., Whitmore, A., Falloon, P. 2007. ECOSSE: Estimating Carbon in Organic Soils - Sequestration and Emissions. Final Report. SEERAD Report. ISBN 978 0 7559 1498 2. 166pp. (describes the expansion of the model to work for peats and organo-mineral soils by including anaerobic processes)
PASIM 
BASFORVan Oijen, M. & Thomson, A. (in press). Towards Bayesian uncertainty quantification for forestry models used in the U.K. GHG Inventory for LULUCF. Climatic Change.
 Van Oijen, M., Dauzat, J., Harmand, J.-M., Lawson, G. & Vaast, P. (in press). Process-based modelling of coffee agroforestry systems in Central America: A review of quantitative information on underlying processes and development of a simple model. Agroforestry Systems.
 Cameron, D. & Van Oijen, M. (2009). The BASic FORest model (BASFOR): User Guide. Internal report, September 24, 2009.
 Van Oijen, M., Thomson, A. & Ewert, F. (2009). Spatial upscaling of process-based vegetation models: An overview of common methods and a case-study for the U.K. StatGIS 2009: 6 pp.
 Van Oijen, M. & Brown, T. (2006). Incorporating effects of changes in climate, nitrogen deposition and CO2 in projections of forest carbon budgets. In Milne, R. & Mobbs, D.C. (Eds), UK Emissions by Sources and Removals by Sinks due to land Use, Land Use Change and Forestry Activities. Report, April 2006, DEFRA Contract EPG 1/1/160, CEH-Edinburgh, chapter 9: 1-14.
 Van Oijen, M., Rougier, J. & Smith, R. (2005). Bayesian calibration of process-based forest models: bridging the gap between models and data. Tree Physiology 25: 915-927.
JSBACHRaddatz, 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?, Clim. Dyn., 2007, 29, 565-574
ORCHIDEEKrinner, G.; Viovy, N.; de Noblet-Ducoudre, N.; Ogee, J.; Polcher, J.; Friedlingstein, P.; Ciais, P.; Sitch, S. & Prentice, I., A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system, Global Biogeochemical Cycles, 2005, 19, GB1015, doi:10.1029/2003GB002199
CLM3.5Oleson, K. W. et al. (2004). Technical Description of the Community Land Model (CLM), NCAR Technical Note NCAR/TN-461+STR. National Center for Atmospheric Research, Boulder, Colorado 80307. 173 pp. -> describes the physical parameterizations and numerical implementation of version 3.0 of the Community Land Model (CLM3.0)
 Oleson, K. W. et al. (2008). Improvements to the Community Land Model and their impact on the hydrological cycle. J. Geophys. Res., 113, G01021, doi:10.1029/2007JG000563. -> summarizes improvements included in CLM version 3.5 (latest public release), namely surface dataset, canopy integration and interception, nitrogen limitation, soil hydrology, runoff and groundwater
 Stöckli, R., D. M. Lawrence, G.-Y. Niu, K. W. Oleson, P. E. Thornton, Z.-L. Yang, G. B. Bonan, A. S. Denning, and S. W. Running (2008), Use of FLUXNET in the Community Land Model development, J. Geophys. Res., 113, G01025, doi:10.1029/2007JG000562. -> examines the performance of CLM3.5 at local scales using FLUXNET data
 Dickinson, R.E., K.W. Oleson, G. Bonan, F. Hoffman, P. Thornton, M. Vertenstein, Z.-L. Yang, and X. Zeng (2006), The Community Land Model and its climate statistics as a component of the Community Climate System Model, J. Climate, 19, 2302-2324. -> describes the climate statistics of CLM3.0 when coupled to the Community Climate System Model (CCSM3)
 Bonan, G.B., and S. Levis (2006), Evaluating aspects of the Community Land and Atmosphere Models (CLM3 and CAM3) using a dynamic global vegetation model, J. Climate, 19, 2290- 2301. -> evaluate global plant biogeography and net primary production from CLM3.0 when coupled to a dynamic global vegetation model (DGVM)
LPJmLBondeau A, Smith PC, Zaehle S, Schaphoff S, Lucht W, Cramer W, Gerten D, Lotze-Campen H, Müller C, Reichstein M and Smith B (2007). Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Global Change Biology 13: 679-706. ->describes the land-use module of LPJmL
 Sitch S, Smith B, Prentice IC, Arneth A, Bondeau A, Cramer W, Kaplans JO, Levis S, Lucht W, Sykes MT, Thonicke K and Venevsky S (2003). Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biology 9: 161-185. -> general model description of the LPJ-DGVM
 Gerten D, Schaphoff S, Haberland U, Lucht W and Sitch S (2004). Terrestrial vegetation and water balance - hydrological evaluation of a dynamic global vegetation model. Journal of Hydrology 286: 249-270. -> describes the newly implemented hydrology in LPJ