1 / 15

Semi-Parametric Models

Semi-Parametric Models. Vanessa Stauch 1 Andrew Jarvis 2 Karsten Schulz 1 1 Helmholtz-Centre for Environmental Research (UFZ), Germany 2 Lancaster University, Environmental Science Department, UK. Eddy Flux Observations. eddy flux time series with missing data. Eddy Flux Observations.

derry
Download Presentation

Semi-Parametric Models

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Semi-Parametric Models Vanessa Stauch1 Andrew Jarvis2 Karsten Schulz1 1Helmholtz-Centre for Environmental Research (UFZ), Germany 2 Lancaster University, Environmental Science Department, UK

  2. Eddy Flux Observations eddy flux time series with missing data

  3. Eddy Flux Observations need models eddy flux time series with missing data

  4. Semi-Parametric Models multidimensional splines

  5. Hypersurface for f{I,T,t} t Stauch&Jarvis (2006)

  6. data model Evaluation Fsys BETHY (Knorr&Kattge 2005) for Hainich Leuning et al. (1995) model for a tropic site Stauch&Jarvis (2006)

  7. Semi-Parametric Models residual-characterisation

  8. Noise Characterisation Residuals of the hypersurface model for SPA (Williams et al. 1996) for an Oregon pine site

  9. Noise Characterisation Residuals of the hypersurface model for SPA (Williams et al. 1996) for an Oregon pine site

  10. data model Evaluation Fnoise Residuals of the hypersurface model for SPA (Williams et al. 1996) for an Oregon pine site

  11. Gap-Filling: 1. Time Series one realisation

  12. data model Gap-Filling: 2. NCE NCE for SPA (Williams et al. 1996) for the Oregon pine site

  13. Disaggregation

  14. Evaluation BETHY (Knorr & Kattge 2005) for Hainich Leuning et al. (1995) model for a tropic site

  15. Semi-Parametric Models Thanks!

More Related