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Author Title [ Type(Asc)] Year
Filters: Author is Ricciuto, D. M.  [Clear All Filters]
Journal Article
Yang X., Thornton P.E, Ricciuto D.M, Post W.M..  2014.  The role of phosphorus dynamics in tropical forests – a modeling study using CLM-CNP. Biogeosciences. 11(6):1667-1681.
Shi X., Thornton P.E, Ricciuto D.M, Hanson P.J, Mao J., Sebestyen S.D, Griffiths N.A, Bisht G.  2015.  Representing northern peatland microtopography and hydrology within the Community Land Model. Biogeosciences Discussions. 12(4):3381-3418.
Shi X., Thornton P.E, Ricciuto D.M, Hanson P.J, Mao J., Sebestyen S.D, Griffiths N.A, Bisht G..  2015.  Representing northern peatland microtopography and hydrology within the Community Land Model. Biogeosciences. 12(21):6463-6477.
Safta C., Ricciuto D.M, Sargsyan K., Debusschere B., Najm H.N, Williams M., Thornton P.E.  2015.  Global sensitivity analysis, probabilistic calibration, and predictive assessment for the data assimilation linked ecosystem carbon model. Geoscientific Model Development. 8(7):1899-1918.
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.
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.
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.
Kang S., Wang D., Nichols J.A, Schuchart J., Kline K.L., Wei Y., Ricciuto D.M, Wullschleger S.D, Post W.M., Izaurralde RCesar.  2015.  Development of mpi_EPIC model for global agroecosystem modeling. Computers and Electronics in Agriculture. 111:48-54.