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Remote sensing data assimilation for a prognostic phenology model

Stöckli, R., Rutishauser T., Dragoni D., O'keefe J., Thornton P. E., Jolly M., et al. (2008).  Remote sensing data assimilation for a prognostic phenology model. Journal of Geophysical Research. 113(G4), 

Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations

Heinsch, F. A., Zhao M., Running S. W., Kimball J. S., Nemani R. R., DAVIS K. J., et al. (2006).  Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Transactions on Geoscience and Remote Sensing. 44(7), 1908 - 1925.

Toward constraining regional-scale fluxes of CO <sub>2</sub> with atmospheric observations over a continent: 2. Analysis of COBRA data using a receptor-oriented framework

Gerbig, C. (2003).  Toward constraining regional-scale fluxes of CO 2 with atmospheric observations over a continent: 2. Analysis of COBRA data using a receptor-oriented framework. Journal of Geophysical Research. 108(D24), 

Development of a global evapotranspiration algorithm based on MODIS and global meteorology data

Mu, Q., Heinsch F. A., Zhao M., & Running S. W. (2007).  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 111(4), 519 - 536.

Comparing simple respiration models for eddy flux and dynamic chamber data

Richardson, A. D., Braswell B. H., Hollinger D. Y., Burman P., Davidson E. A., Evans R. S., et al. (2006).  Comparing simple respiration models for eddy flux and dynamic chamber data. Agricultural and Forest Meteorology. 141(2-4), 219 - 234.

Lethbridge Site Gallery

Pictures from the Lethbridge FLUXNET tower site.

Lethbridge Site

Identification of a general light use efficiency model for gross primary production

Horn, J. E., & Schulz K. (2011).  Identification of a general light use efficiency model for gross primary production. Biogeosciences. 8(4), 999 - 1021.

Improving canopy processes in the Community Land Model version 4 (CLM4) using global flux fields empirically inferred from FLUXNET data

Bonan, G. B., Lawrence P. J., Oleson K. W., Levis S., Jung M., Reichstein M., et al. (2011).  Improving canopy processes in the Community Land Model version 4 (CLM4) using global flux fields empirically inferred from FLUXNET data. Journal of Geophysical Research. 116(G2), 

Net carbon dioxide losses of northern ecosystems in response to autumn warming

Piao, S., Ciais P., Friedlingstein P., Peylin P., Reichstein M., LUYSSAERT S. E. B. A. S. T. I. A. A. N., et al. (2008).  Net carbon dioxide losses of northern ecosystems in response to autumn warming. Nature. 451(7174), 49 - 52.

Seasonal variation in ecosystem parameters derived from FLUXNET data

Groenendijk, M., van der Molen M. K., & Dolman A. J. (2009).  Seasonal variation in ecosystem parameters derived from FLUXNET data. Biogeosciences Discussions. 6(2), 2863 - 2912.