OREGON STATE UNIVERSITY

Publications

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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)
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.
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.
Schmidt A, Wrzesinsky T., Klemm O.  2008.  Gap filling and quality assessment of CO2 and water vapour fluxes above an urban area with radial basis function neural networks. Boundary-Layer Meteorology. 126(3):389-413.
Schmidt A, Suchaneck M..  2014.  Comparison and Optimization of Neural Networks and Network Ensembles for Gap Filling of Wind Energy Data.. Journal of Renewable Energy.
Schmidt A, Klemm O.  2008.  Direct determination of highly size-resolved turbulent particle fluxes with the disjunct eddy covariance method and a 12-stage electrical low pressure impactor. Atmospheric Chemistry and Physics. 8(24):7405-7417.
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.
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.