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An air relative-humidity-based evapotranspiration model from eddy covariance data

Yan, H., & Shugart H. H. (2010).  An air relative-humidity-based evapotranspiration model from eddy covariance data. Journal of Geophysical Research. 115(D16), 

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), 

Estimation of incident photosynthetically active radiation from Moderate Resolution Imaging Spectrometer data

Liang, S., Zheng T., Liu R., Fang H., Tsay S. - C., & Running S. (2006).  Estimation of incident photosynthetically active radiation from Moderate Resolution Imaging Spectrometer data. Journal of Geophysical Research. 111(D15), 

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.

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.

Artificial neural network application for multi-ecosystem carbon flux simulation

MELESSE, A., & HANLEY R. (2005).  Artificial neural network application for multi-ecosystem carbon flux simulation. Ecological Modelling. 189(3-4), 305 - 314.

Energy and Carbon Flux Coupling: Multi-ecosystem Comparisons Using Artificial Neural Network

Melesse, A. M., & Hanley R. S. (2005).  Energy and Carbon Flux Coupling: Multi-ecosystem Comparisons Using Artificial Neural Network. American Journal of Applied Sciences. 2(2), 491 - 495.

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.

A comprehensive set of benchmark tests for a land surface model of simultaneous fluxes of water and carbon at both the global and seasonal scale

Blyth, E., Clark D. B., Ellis R., Huntingford C., Los S., Pryor M., et al. (2011).  A comprehensive set of benchmark tests for a land surface model of simultaneous fluxes of water and carbon at both the global and seasonal scale. Geoscientific Model Development. 4(2), 255 - 269.

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Pictures from the Fort Peck FLUXNET tower site.

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