Articles | Volume 23, issue 6
Nonlin. Processes Geophys., 23, 447–465, 2016
Nonlin. Processes Geophys., 23, 447–465, 2016
Research article
09 Dec 2016
Research article | 09 Dec 2016

Constraining ecosystem model with adaptive Metropolis algorithm using boreal forest site eddy covariance measurements

Jarmo Mäkelä et al.

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Cited articles

Aalto, T., Ciais, P., Chevillard, A., and Moulin, C.: Optimal determination of the parameters controlling biospheric CO2 fluxes over Europe using eddy covariance fluxes and satellite NDVI measurements, Tellus B, 56, 93–104,, 2004.
Abramowitz, G., Pitman, A., Gupta, H., Kowalczyk, E., and Wang, Y.: Systematic Bias in Land Surface Models, J. Hydrol., 8, 989–1001,, 2007.
Aurela, M.: Carbon dioxide exchange in subarctic ecosystems measured by a micrometeorological technique, Finnish Meteorol. Inst. Contr., 51, 1–39, 2005.
Aurela, M., Lohila, A., Tuovinen, J., Hatakka, J., Riutta, T., and Laurila, T.: Carbon dioxide exchange on a northern boreal fen, Boreal Environ. Res., 14, 699–710, 2009.
Baldocchi, D.: Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future, Global Change Biol., 9, 479–492,, 2003.
Short summary
The land-based hydrological cycle is one of the key processes controlling the growth and wilting of plants and the amount of carbon vegetation can assimilate. Recent studies have shown that many land surface models have biases in this area. We optimized parameters in one such model (JSBACH) and were able to enhance the model performance in many respects, but the response to drought remained unaffected. Further studies into this aspect should include alternative stomatal conductance formulations.