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Morgan Monroe State Forest

968-Morgan Monroe State Forest

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), 

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.

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.

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), 

Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites

Fisher, J. B., TU K. E. V. I. N. P., & Baldocchi D. D. (2008).  Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote Sensing of Environment. 112(3), 901 - 919.

Uncertainty of annual net ecosystem productivity estimated using eddy covariance flux measurements

Dragoni, D., Schmid H. P., Grimmond C. S. B., & Loescher H. W. (2007).  Uncertainty of annual net ecosystem productivity estimated using eddy covariance flux measurements. Journal of Geophysical Research. 112(D17), 

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.