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EC-MOD - Gridded carbon and water fluxes over North America (upscaled from AmeriFlux and Fluxnet-Candada data)

The EC-MOD data set consists of gross primary productivity (GPP), net ecosystem exchange (NEE), ecosystem respiration (ER), and evapotranspiration (ET) at 1km spatial resolution and 8-day time step over North America for the period from March 2000 to December 2012 (Xiao et al. 2014). It was developed from eddy covariance (EC) flux data, MODIS data streams, micrometeorological reanlaysis data, stand age, and aboveground biomass data using a data-driven approach (Xiao et al. 2008, 2010, 2011).

Gridded GPP, NEE, ER, and ET fields for North America (EC-MOD)        

     Spatial resolution: 1 km*1 km

     Spatial coverage: North America

     Temporal resolution: 8-day

     Temporal coverage: March 2000 - December 2012

The EC-MOD data set is highly constrained by eddy flux data, and is useful for scientific analysis (e.g., spatiotemporal patterns of carbon and water fluxes), model validation, and intercomparison analysis. EC-MOD has been used to evaluate ecosystem models (Sun et al. 2011; Huntzinger et al. 2012; Raczka et al. 2013) and atmospheric inversions (Dang et al. 2011; Deng et al. 2013).

The EC-MOD data set for North America (2000-2012) is available at the Global Ecology Repository: EC-MOD

The following paper should be cited for the new EC-MOD data set (North America, 20000-2012):

Xiao, J., Olinger, S.V., Frolking, S., Hurtt, G.C., Hollinger, D.Y., Davis, K.J.,Pan, Y., Zhang, X., Deng, F., Chen, J., Baldocchi, D.D., Law, B.E., Arain, M.A. Desai, A.R., Richardson, A.D., Sun, G., Amiro, B., Margolis, H., Gu, L, Scott, R.L., Blanken, P.D., Suyker, A.E. (2014). Data-driven diagnostics of terrestrial carbon dynamics over North America. Agricultural and Forest Meteorology, 197, 142-157.

The following paper should be cited for the data-driven approach used to generate EC-MOD:

Xiao, J., Zhuang, Q., Baldocchi, D.D., Law, B.E., Richardson, A.D., Chen, J., Oren, R., Starr, G., Noormets, A., Ma, S., Verma, S.B., Wharton, S., Wofsy, S.C., Bolstad, P.V., Burns, S.P., Cook, D.R., Curtis, P.S., Drake, B.G., Falk, M., Fischer, M.L., Foster, D.R., Gu, L., Hadley, J.L., Hollinger, D.Y., Katul, G.G., Litvak, M., Martin, T.A., Matamala, R., McNulty, S., Meyers, T.P., Monson, R.K., Munger, J.W., Oechel, W.C., Paw U, K.T., Schmid, H.P., Scott, R.L., Sun, G., Suyker, A.E., and Torn, M.S. (2008) Estimation of net ecosystem carbon exchange for the conterminous United States by combining MODIS and AmeriFlux data. Agricultural and Forest Meteorology, 148(11), 1827-1847.

Addtional papers for EC-MOD and for the conterminous U.S.:

Xiao, J., Zhuang, Q., Law, B.E., Chen, J., Baldocchi, D.D., Cook, D.R., Oren, R., Richardson, A.D., Wharton, S., Ma, S., Martin, T.A., Verma, S.B., Suyker, A.E., Scott, R.L., Monson, R.K., Litvak, M., Hollinger, D.Y., Sun, G., Davis, K.J., Bolstad, P.V., Burns, S.P., Curtis, P.S., Drake, B.G., Falk, M., Fischer, M.L., Foster, D.R., Gu, L., Hadley, J.L., Katul, G.G., Matamala, R., McNulty, S., Meyers, T.P., Munger, J.W., Noormets, A., Oechel, W.C., Paw U, K.T., Schmid, H.P., Starr, G., Torn, M.S., and Wofsy, S.C. (2010) A continuous measure of gross primary production for the conterminous United States derived from MODIS and AmeriFlux data. Remote Sensing of Environment, 114 (3), 576-591.

Xiao, J., Zhuang, Q., Law, B.E., Baldocchi, D.D., Chen, J., Richardson, A.D., Melillo, J.M., Davis, K.J., Hollinger, D.Y., Wharton, S., Oren, R., Noormets, A., Fischer, M.L., Verma, S.B., Cook, D.R., Sun, G., McNulty, S., Wofsy, S.C., Bolstad, P.V., Burns, S.P., Curtis, P.S., Drake, B.G., Falk, M., Foster, D.R., Gu, L., Hadley, J.L., Katul, G.G., Litvak, M., Ma, S., Martin, T.A., Matamala, R., Meyers, T.P., Monson, R.K., Munger, J.W., Oechel, W.C., Paw U, K.T., Schmid, H.P., Scott, R.L., Starr, G., Suyker, A.E., and Torn, M.S. (2011) Assessing Net Ecosystem Carbon Exchange of U.S. Terrestrial Ecosystems by Integrating Eddy Covariance Flux Measurements and Satellite Observations. Agricultural and Forest Meteorology, 151, 60-69.