[ncl-talk] superobbing

[Dennis Shea]

Observations: T(lev,time) and Q(lev,time), LAT(time), LON(time)

Is the target grid rectilinear?

If, say, the grid box is bounded by lat_low, lat_high, lon_low, lon_high

  itime = *ind*(LAT.ge.lat_low .and. LAT.lt.lat_high .and. \
                    LON.ge.lon_low .and. LON.lt.lon_high)

  T_super = *dim_avg_n_Wrap*(T(:,itime), 1)
  T_super at long_name = "Super Ob: " + T at long_name   ; cancatenate
  printVarSummary(T_super)

Same for Q

===
*http://www.ncl.ucar.edu/Document/Functions/Built-in/ind.shtml
<http://www.ncl.ucar.edu/Document/Functions/Built-in/ind.shtml>*
===
For grids the lat_low, lat_high, lon_low, lon_high would have to be indexed.

HTH

On Tue, Jun 26, 2018 at 12:44 PM, Andrew Kren - NOAA Affiliate <
andrew.kren at noaa.gov> wrote:

> Dear ncl-talk,
>
> I am thinning some data prior to assimilating it in the HWRF model. The
> data is temperature and moisture vertical profiles that is one-dimensional,
> a function of time. The lat/lon points of the data is also a function of
> time, so there is a spatial element to it. Basically, I want to superob the
> data to create a mean observation within some grid box size to thin it. I
> would need to regrid the data and search how many profiles within the
> specified grid size. My question is what would be the best way to achieve
> this via NCL?
>
> Thanks,
>
> --
> Andrew Kren
> Assistant Scientist
> CIMAS - NOAA/AOML
> 314-322-0867
>
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