OREGON STATE UNIVERSITY

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Author [ Title(Desc)] Type Year
Filters: Author is Hanson, C.V.  [Clear All Filters]
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B
Schmidt A, Law B.E., Göckede M., Hanson C.V., Yang Z., Conley S..  2016.  Bayesian optimization of the Community Land Model simulated biosphere-atmosphere exchange using CO2 observations from a dense tower network and aircraft campaigns over Oregon. Earth Interactions. 20:1-35.
C
Burba G, Schmidt A, Scott R.L., Nakai T, Kathilankal J.C., Gerardo FNI, Hanson C.V., Law B.E., McDermitt D.K., Eckles R et al..  2012.  Calculating CO2 and H2O eddy covariance fluxes from an enclosed gas analyzer using an instantaneous mixing ratio. Global Change Biology. 18:385–399.
Kim Y., Still C.J., Hanson C.V., Kwon H., Greer B.T., Law B.E..  2016.  Canopy skin temperature variations in relation to climate, soil temperature, and carbon flux at a ponderosa pine forest in central Oregon. Agricultural and Forest Meteorology. 226-227:161-173.
Schmidt A, Hanson C.V., Kathilankal J.C., Law B.E..  2011.  Classification and assessment of turbulent fluxes above ecosystems in North-America with self-organizing feature map networks. Agricultural and Forest Meteorology. 151:508-520.
D
Kathilankal J.C., O'Halloran T.L., Schmidt A, Hanson C.V., Law B.E..  2014.  Development of a semi-parametric PAR Development of a semi-parametric PAR (Photosynthetically Active Radiation) partitioning model for the United States, version 1. Geoscientific Model Development. 7:2477-2484.
Schmidt A, Law B.E., Hanson C.V., Klemm O.  2012.  Distinct global patterns of strong positive and negative shifts of seasons over the last 6 decades. Atmospheric and Climate Sciences. 2:76-88.
E
Schmidt A, Hanson C.V., Chan WS, Law B.E..  2012.  Empirical assessment of uncertainties of meteorological parameters and turbulent fluxes in the AmeriFlux network. J. Geophys. Res.. 117(G04014)
R
Schmidt A, Rella C.W., Göckede M., Hanson C.V., Yang Z., Law B.E..  2014.   Removing traffic emissions from CO2 time series measured at a tall tower using mobile measurements and transport modeling. Atmospheric Environment. 97:94-108.