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Site Name: Blodgett Forest

Yuan W, Liu S, Zhou G, Zhou G, Tieszen LL, Baldocchi D, et al. Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes. Agricultural and Forest Meteorology. 2007;143(3-4):189-207.
Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.
SIMS D, RAHMAN A, CORDOVA V, BALDOCCHI D, FLANAGAN L, GOLDSTEIN A, et al. Midday values of gross CO flux and light use efficiency during satellite overpasses can be used to directly estimate eight-day mean flux. Agricultural and Forest Meteorology. 2005;131(1-2):1-12.
ARAIN M, RESTREPOCOUPE N. Net ecosystem production in a temperate pine plantation in southeastern Canada. Agricultural and Forest Meteorology. 2005;128(3-4):223-41.
Gerbig C. 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. 2003;108(D24).
Reichstein M. Modeling temporal and large-scale spatial variability of soil respiration from soil water availability, temperature and vegetation productivity indices. Global Biogeochemical Cycles. 2003;17(4).
Nishida K. An operational remote sensing algorithm of land surface evaporation. Journal of Geophysical Research. 2003;108(D9).
FALGE E, BALDOCCHI D, TENHUNEN J, Aubinet M, BAKWIN P, Berbigier P, et al. Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements. Agricultural and Forest Meteorology. 2002;113(1-4):53-74.

Site Name: Bondville

Blyth E, Clark DB, Ellis R, Huntingford C, Los S, Pryor M, et al. 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. 2011;4(2):255-69.
Gilmanov TG, Aires L, Barcza Z, Baron VS, Belelli L, Beringer J, et al. Productivity, Respiration, and Light-Response Parameters of World Grassland and Agroecosystems Derived From Flux-Tower Measurements. Rangeland Ecology & Management. 2010;63(1):16-39.
Yan H, Shugart HH. An air relative-humidity-based evapotranspiration model from eddy covariance data. Journal of Geophysical Research. 2010;115(D16).
HOLLINGER DY, OLLINGER SV, Richardson AD, MEYERS TP, DAIL DB, MARTIN ME, et al. Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration. Global Change Biology. 2010;16(2):696-710.
Glenn EP, Nagler PL, HUETE AL. Vegetation Index Methods for Estimating Evapotranspiration by Remote Sensing. Surveys in Geophysics. 2010;31(6):531-55.
Wang K, Dickinson RE, Wild M, Liang S. Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002: 1. Model development. Journal of Geophysical Research. 2010;115(D20).
Lokupitiya E, Denning S, Paustian K, Baker I, Schaefer K, VERMA S, et al. Incorporation of crop phenology in Simple Biosphere Model (SiBcrop) to improve land-atmosphere carbon exchanges from croplands. Biogeosciences. 2009;6(6):1103.
Meng CL, Li Z-, Zhan X, Shi JC, Liu CY. Land surface temperature data assimilation and its impact on evapotranspiration estimates from the Common Land Model. Water Resources Research. 2009;45(2).
HASHIMOTO H, DUNGAN J, WHITE M, YANG F, MICHAELIS A, RUNNING S, et al. Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data. Remote Sensing of Environment. 2008;112(1):142-55.
Fisher JB, TU KE, Baldocchi DD. 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. 2008;112(3):901-19.
Wang K, Liang S. An Improved Method for Estimating Global Evapotranspiration Based on Satellite Determination of Surface Net Radiation, Vegetation Index, Temperature, and Soil Moisture. Journal of Hydrometeorology. 2008;9(4):712-27.
Kaheil YH, Rosero E, Gill MK, McKee M, Bastidas LA. Downscaling and Forecasting of Evapotranspiration Using a Synthetic Model of Wavelets and Support Vector Machines. IEEE Transactions on Geoscience and Remote Sensing. 2008;46(9):2692-707.
Stöckli R, Rutishauser T, Dragoni D, O'keefe J, Thornton PE, Jolly M, et al. Remote sensing data assimilation for a prognostic phenology model. Journal of Geophysical Research. 2008;113(G4).
OWEN KA, Tenhunen J, Reichstein M, WANG QU, Falge E, GEYER RA, et al. Linking flux network measurements to continental scale simulations: ecosystem carbon dioxide exchange capacity under non-water-stressed conditions. Global Change Biology. 2007;13(4):734-60.
Mu Q, Heinsch FA, Zhao M, Running SW. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 2007;111(4):519-36.
Reichstein M, Falge E, Baldocchi D, Papale D, Aubinet M, Berbigier P, et al. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global Change Biology. 2005;11(9):1424-39.
Gerbig C. 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. 2003;108(D24).