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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.

Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes

Yuan, W., Liu S., Zhou G., Zhou G., Tieszen L. L., Baldocchi D., et al. (2007).  Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes. Agricultural and Forest Meteorology. 143(3-4), 189 - 207.

A hierarchical analysis of terrestrial ecosystem model Biome-BGC: Equilibrium analysis and model calibration

Wang, W., Ichii K., Hashimoto H., Michaelis A. R., Thornton P. E., LAW B. E. V. E. R. L. Y. E., et al. (2009).  A hierarchical analysis of terrestrial ecosystem model Biome-BGC: Equilibrium analysis and model calibration. Ecological Modelling. 220(17), 2009 - 2023.

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), 

Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002: 1. Model development

Wang, K., Dickinson R. E., Wild M., & Liang S. (2010).  Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002: 1. Model development. Journal of Geophysical Research. 115(D20), 

An operational remote sensing algorithm of land surface evaporation

Nishida, K. (2003).  An operational remote sensing algorithm of land surface evaporation. Journal of Geophysical Research. 108(D9), 

Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data

HASHIMOTO, H., DUNGAN J., WHITE M., YANG F., MICHAELIS A., RUNNING S., et al. (2008).  Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data. Remote Sensing of Environment. 112(1), 142 - 155.

Comparison of algorithms for incoming atmospheric long-wave radiation

Flerchinger, G. N., Xaio W., Marks D., Sauer T. J., & Yu Q. (2009).  Comparison of algorithms for incoming atmospheric long-wave radiation. Water Resources Research. 45(3), 

Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration

HOLLINGER, D. Y., OLLINGER S. V., Richardson A. D., MEYERS T. P., DAIL D. B., MARTIN M. E., et al. (2010).  Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration. Global Change Biology. 16(2), 696 - 710.