Let's say I'm extracting precipitation from a single pixel or region from a reanalysis (MERRA-2, ERA-5, Interim) dataset.

I can infer a distribution for the daily data (Gamma, Pearson-III, e.g. link), but I know that it will be conservative since I'm basing the distribution on a reanalysis product (smoothed, spatially averaged out).

Is there an appropriate method to approximate the "real/actual" local precipitation distribution from a reanalysis dataset?

  • $\begingroup$ you can only divide the pixel value by the grid box size and get an approximate value. $\endgroup$ – gansub Oct 18 at 4:55
  • 2
    $\begingroup$ I meant grid box area not grid box size. Reanalysis is not the correct way to get local precipitation distribution. For that you need rain gauges. $\endgroup$ – gansub Oct 18 at 5:02
  • $\begingroup$ Be aware that even rain gauges can have large errors, in particular automated ones. A leaf gets stuck and suddenly it "stops raining". It happens. $\endgroup$ – gerrit Oct 18 at 8:36

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