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Erickson DJ, Mills R.T, Gregg J.S, Blasing T.J, Hoffman F., Andres R., Devries M., Zhu Z., Kawa S.R.  2008.  An estimate of monthly global emissions of anthropogenic CO2: Impact on the seasonal cycle of atmospheric CO2. Journal of Geophysical Research. 113:1–10.
Zhu W, Chen G, Jiang N, Liu J, Mou M.  2013.  Estimating Carbon Flux Phenology with Satellite-Derived Land Surface Phenology and Climate Drivers for Different Biomes: A Synthesis of AmeriFlux Observations. PLoS ONE. 8(12):e84990.
Bandaru V, West TO, Ricciuto DM, Izaurralde RCesar.  2013.  Estimating crop net primary production using national inventory data and MODIS-derived parameters. ISPRS Journal of Photogrammetry and Remote Sensing. 80:61-71.
Parish ES, Kodra E, Steinhaeuser K, Ganguly AR.  2012.  Estimating future global per capita water availability based on changes in climate and population. Computers & Geosciences. 42:79-86.
Wang G, Chen S, Frear C.  2012.  Estimating greenhouse gas emissions from soil following liquid manure applications using a unit response curve method. Geoderma. 170:295-304.
Bond-Lamberty B, Epron D, Harden J, Harmon ME, Hoffman F, Kumar J, McGuire ADavid, Vargas R.  2016.  Estimating heterotrophic respiration at large scales: challenges, approaches, and next steps. Ecosphere. 7(6):e01380.
van Gorsel E, Delpierre N, Leuning R, Black AT, J Munger W, Wofsy S, Aubinet M, Feigenwinter C, Beringer J, Bonal D et al..  2009.  Estimating nocturnal ecosystem respiration from the vertical turbulent flux and change in storage of CO2. Agricultural and Forest Meteorology. 149:1919-1930.
Cai Q, Rushton G, Bhaduri BL, Bright EA, Coleman P.  2006.  Estimating Small-Area Populations by Age and Sex Using Spatial Interpolation and Statistical Inference Methods. Transactions in GIS. 10:577–598.
Batra N, Islam S, Venturini V, Bisht G, Jiang L.E.  2006.  Estimation and comparison of evapotranspiration from MODIS and AVHRR sensors for clear sky days over the Southern Great Plains. Remote Sensing of Environment. 103:1–15.
Bisht G, Bras RL.  2010.  Estimation of net radiation from the MODIS data under all sky conditions: Southern Great Plains case study. Remote Sensing of Environment. 114:1522–1534.
Bisht G, Venturini V, Islam S, Jiang L.E.  2005.  Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days. Remote Sensing of Environment. 97:52–67.
Ciais P, Paris J.D, Marland G., Peylin P., Piao S.L, Levin I., Pregger T., Scholz Y., Froedrich R., River L. et al..  2010.  The European carbon balance. Part 1: fossil fuel emissions. Global Change Biology. 16:1395–1408.
Luyssaert S., Abril G., Andres R., Bastviken D., Bellassen V., Bergamaschi P., Bousquet P., Chevallier F., Ciais P., Corazza M. et al..  2012.  The European land and inland water CO2, CO, CH4 and N2O balance between 2001 and 2005. Biogeosciences. 9(8):3357-3380.
Kanter DR, Musumba M, Wood SLR, Palm C, Antle J, Balvanera P, Dale VH, Havlik P, Kline KL, Scholes R.J. et al..  2016.  Evaluating agricultural trade-offs in the age of sustainable development. Agricultural Systems.
Liu S, Zhuang Q, He Y, Noormets A, Chen J, Gu L.  2016.  Evaluating atmospheric CO2 effects on gross primary productivity and net ecosystem exchanges of terrestrial ecosystems in the conterminous United States using the AmeriFlux data and an artificial neural network approach. Agricultural and Forest Meteorology. 220:38-49.
Liu P, Elshall AS, Ye M, Beerli P, Zeng X, Lu D, Tao Y.  2016.  Evaluating marginal likelihood with thermodynamic integration method and comparison with several other numerical methods. Water Resources Research. 52(2):734-758.
Preston BL, Jones R.  2008.  Evaluating sources of uncertainty in Australian runoff projections. Advances in Water Resources. 31:758–775.
STOY P.C, Dietze M.C, RICHARDSON A.D, Vargas R., Barr A.G, Anderson R.S, Arain A, Baker I.T., Black T.A., Chen J.M. et al..  2013.  Evaluating the agreement between measurements and models of net ecosystem exchange at different times and timescales using wavelet coherence: an example using data from the North American Carbon Program Site-Level Interim Synthesis. Biogeosciences. 10(11):6893-6909.
Duarte HF, Raczka BM, Ricciuto DM, Lin JC, Koven CD, Thornton PE, Bowling DR, Lai C-T, Bible KJ, Ehleringer JR.  2017.  Evaluating the Community Land Model (CLM 4.5) at a Coniferous Forest Site in Northwestern United States Using Flux and Carbon-Isotope Measurements. Biogeosciences Discussions. :1-35.
Mao J., Ricciuto D.M, Thornton P.E, Warren J.M, King A.W, Shi X., Iversen C.M, NORBY R.J.  2016.  Evaluating the Community Land Model in a pine stand with shading manipulations and 13CO2 labeling. Biogeosciences. 13(3):641-657.
Mao J., Ricciuto D.M, Thornton P.E, Warren J.M, King A.W, Shi X., Iversen C.M, NORBY R.J.  2015.  Evaluating the Community Land Model in a pine stand with 13CO2 labeling and shading manipulations. Biogeosciences Discussions. 12(9):6971-7015.
Makedonska N, Hyman JD, Karra S, Painter SL, Gable CW, Viswanathan HS.  2016.  Evaluating the effect of internal aperture variability on transport in kilometer scale discrete fracture networks. Advances in Water Resources. 94:486-497.
Hammond G.E, Lichtner P.C, Mills R.T.  2014.  Evaluating the performance of parallel subsurface simulators: An illustrative example with PFLOTRAN. Water Resources Research. 50(1):208-228.
Fu K, Allen M, Archibald R.  2015.  Evaluating the Relationship between the Population Trends, Prices, Heat Waves, and the Demands of Energy Consumption in Cities. Sustainability. 7(12):15284-15301.
Hudiburg TW, Law B.E., Thornton P.E.  2012.  Evaluation and improvement of the Community Land Model (CLM 4.0) in Oregon forests. Biogeosciences Discussions. 9:12757.