WSL/SLF GitLab Repository

  1. 19 Aug, 2014 1 commit
  2. 15 Aug, 2014 5 commits
  3. 14 Aug, 2014 3 commits
  4. 12 Aug, 2014 4 commits
  5. 04 Aug, 2014 1 commit
  6. 31 Jul, 2014 1 commit
  7. 27 Jul, 2014 1 commit
  8. 18 Jul, 2014 1 commit
  9. 14 Jul, 2014 4 commits
  10. 11 Jul, 2014 1 commit
  11. 10 Jul, 2014 3 commits
  12. 09 Jul, 2014 3 commits
  13. 08 Jul, 2014 1 commit
  14. 26 Jun, 2014 2 commits
  15. 25 Jun, 2014 2 commits
  16. 24 Jun, 2014 1 commit
  17. 19 Jun, 2014 2 commits
    • Mathias Bavay's avatar
      Mostly code cleanup: trying to find more logical names for the buffering code... · bf6bde9f
      Mathias Bavay authored
      Mostly code cleanup: trying to find more logical names for the buffering code in BufferedIOHandler, more modularity in InterpolationAlgorithms. Since when computing a variogram from time series it is possible to end up with significantly lower values than usual that lead the krigging in a totally wrong direction (should the variogram be normalized? Is it linked with the stationarity hypothesis?), now the empirical variogram is used instead of the full time series.
      bf6bde9f
    • Mathias Bavay's avatar
      Removing nodata values seemed like a good idea when doing a sort(), but this... · 2146669a
      Mathias Bavay authored
      Removing nodata values seemed like a good idea when doing a sort(), but this created some bugs (sometimes it is still valuable to know that y=nodata after sorting). This is now an optional behavior. The interpolated grids are now buffered in Meteo2DInterpolator. The grid buffering code has been cleaned up and backported to BufferedIOHandler. The spatial interpolations specific points (for virtual stations, etc) has been moved to Meteo2DInterpolator in order to make IOManager smaller and more focused on general data flow handling.
      2146669a
  18. 18 Jun, 2014 1 commit
    • Mathias Bavay's avatar
      Small improvements when computing a variogram (in order to be more tolerant to... · fcd1c23d
      Mathias Bavay authored
      Small improvements when computing a variogram (in order to be more tolerant to nodata values), new key for virtual stations (to force using the whole DEM instead of a one point dem), a results cache has been created for the virtual stations (mixing virtual and real stations is a really, really bad idea), more flexibility for the Ryan and Liston wind interpolations.
      fcd1c23d
  19. 17 Jun, 2014 1 commit
  20. 16 Jun, 2014 2 commits
    • Mathias Bavay's avatar
      This is a tentative improvement for the krigging, by properly building the... · eed878ce
      Mathias Bavay authored
      This is a tentative improvement for the krigging, by properly building the variogram from past time series of variances. Unfortunatelly, this makes no difference with the previously implemented empirical variogram. Therefore the simpler version is still active. Stay tuned for upcoming improvements!
      eed878ce
    • Mathias Bavay's avatar
      The Ryan wind algorithm is now implemented properly (but the VW correction... · 8b33aa8f
      Mathias Bavay authored
      The Ryan wind algorithm is now implemented properly (but the VW correction seems to always be extremely small). A new method for slope along a given direction has been implemented that is used by both Winstral and Ryan. The VW reference spatial distribution for the tests has been updated and the algorithm renamed in the test io.ini.
      8b33aa8f