[ncl-talk] regridding EASE snow data

Mary Haley haley at ucar.edu
Thu Dec 3 14:03:17 MST 2015


Michael,

I'm not sure what you mean by "it regrids without interpolation". I believe
ESMF_regrid *is* always interpolating the data, unless I'm misunderstanding
what you mean by interpolation.

--Mary


On Wed, Dec 2, 2015 at 8:50 AM, Michael Notaro <mnotaro at wisc.edu> wrote:

> Thanks, Mary.  I tried using ESMF_regrid (wasn't aware of this function
> before)
>
> and it seemed to work well.  it regrids without interpolation.
>
> Michael
>
>
> Michael Notaro
> Associate Director
> Nelson Institute Center for Climatic Research
> University of Wisconsin-Madison
> Phone: (608) 261-1503
> Email: mnotaro at wisc.edu
>
>
> ------------------------------
> *From:* ncl-talk-bounces at ucar.edu <ncl-talk-bounces at ucar.edu> on behalf
> of Mary Haley <haley at ucar.edu>
> *Sent:* Wednesday, December 2, 2015 9:39 AM
> *To:* Michael Notaro
> *Cc:* ncl-talk at ucar.edu
> *Subject:* Re: [ncl-talk] regridding EASE snow data
>
> Hi Michael,
>
> Most of our regridding routines do some sort of interpolation.
>
> You could try triple2grid, which *places* values at the nearest locations
> of a 2D rectilinear grid.
>
> You will need to first turn your EASE grid and it's lat/lon values into 1D
> variables:
>
> lat1d    = ndtooned(latitude)
> lon1d    = ndtooned(longitude)
> cover1d  = ndtooned(cover)
> opt      = False  ; if True, then some options are available
>
> cover_regrid = triple2grid(lon1d,lat1d,cover1d,lon,lat,opt)
>
> I admit I've never tried this, so please let ncl-talk know if this works
> for you.
>
> You can see what "opt" options are available:
>
> http://www.ncl.ucar.edu/Document/Functions/Built-in/triple2grid.shtml
> triple2grid - University Corporation for Atmospheric Research
> NCL Home > Documentation > Functions > Regridding triple2grid. Places
> unstructured (randomly-spaced) data onto the nearest locations of a
> rectilinear grid.
> Read more...
> <http://www.ncl.ucar.edu/Document/Functions/Built-in/triple2grid.shtml>
>
>
>
> --Mary
>
>
> On Tue, Dec 1, 2015 at 12:02 PM, Michael Notaro <mnotaro at wisc.edu> wrote:
>
>> Does anyone have a suggestions for quickly regridding
>>
>> EASE snow cover data, with the following characteristics,
>>
>>
>> latitude(720 rows, 720 columns)
>>
>> longitude(720 rows, 720 columns)
>>
>> cover(720 rows, 720 columns)
>>
>>
>> to a new 0.2 degree x 0.2 degree grid, with the following
>>
>> characteristics?
>>
>>
>> lat=fspan(0.,90.,451)
>>
>> lon=fspan(0.,180.,901)
>>
>> grid(451,901)
>>
>>
>> It needs to be regridded, not interpolated, as
>>
>> the values are 10 for snow covered land and
>>
>> 20 for non-snow covered land.
>>
>>
>> I've tried using getind_latlon2d within dual
>>
>> do loops, but it was extremely slow.
>>
>>
>> My latest attempt is below, using mask
>>
>> to reduce data to only nearby locations.
>>
>> In this case, I am trying to regrid 14 years
>>
>> worth of daily snow cover.
>>
>>
>> Thanks, Michael
>>
>>
>>
>>
>> load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl"
>>
>> load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl"
>>
>> load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
>>
>> load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/shea_util.ncl"
>>
>> begin
>>
>>
>> cvr=new((/14,12,31,720,720/),float)
>>
>> cvr at _FillValue=1e+35
>>
>> cvr=1e+35
>>
>>
>> a=addfile("1999/nhtsd25e2_19990101_v01r01.nc","r")
>>
>> latitude=a->latitude ; (rows,cols)
>>
>> longitude=a->longitude
>>
>>
>> do iyr=0,13
>>
>>   do imn=0,11
>>
>>     do id=0,30
>>
>>       years=iyr+1999
>>
>>       if (imn.le.8) then
>>
>>         months="0"+(imn+1)
>>
>>       else
>>
>>         months=""+(imn+1)
>>
>>       end if
>>
>>       if (id.le.8) then
>>
>>         days="0"+(id+1)
>>
>>       else
>>
>>         days=""+(id+1)
>>
>>       end if
>>
>>       filen=""+years+"/nhtsd25e2_"+years+""+months+""+days+"_v01r01.nc"
>>
>>       if (isfilepresent(filen)) then
>>
>>         a=addfile(filen,"r")
>>
>>         cvr(iyr,imn,id,:,:)=byte2flt(a->ims_snow_cover_extent(0,:,:)) ;
>> byte (time, 720 rows, 720 cols) 10=snow covered land; 20=snow free land
>>
>>       end if
>>
>>     end do
>>
>>   end do
>>
>> end do
>>
>>
>> lat=fspan(0.,90.,451)
>>
>> lat!0="lat"
>>
>> lat at units="degrees_north"
>>
>> lat&lat=lat
>>
>>
>> lon=fspan(0.,180.,901)
>>
>> lon!0="lon"
>>
>> lon at units="degrees_east"
>>
>> lon at lon=lon
>>
>>
>> grid=new((/14,12,31,451,901/),float)
>>
>> grid at _FillValue=1e+35
>>
>> grid=1e+35
>>
>>
>> do i=0,450
>>
>>   do j=0,900
>>
>>
>>     cover=mask(cvr,latitude.ge.lat(i)+0.5,False)
>>
>>     cover=mask(cover,latitude.le.lat(i)-0.5,False)
>>
>>     cover=mask(cover,longitude.ge.lon(j)+0.5,False)
>>
>>     cover=mask(cover,longitude.le.lon(j)-0.5,False)
>>
>>
>>     do iyr=0,13
>>
>>       do imn=0,11
>>
>>         do id=0,30
>>
>>
>>           snow=num(cover(iyr,imn,id,:,:).eq.10)
>>
>>           nosnow=num(cover(iyr,imn,id,:,:).eq.20)
>>
>>           combined=snow+nosnow
>>
>>
>>           if (combined.gt.0) then
>>
>>             if (snow.ge.nosnow) then
>>
>>               grid(iyr,imn,id,i,j)=100.
>>
>>             else
>>
>>               grid(iyr,imn,id,i,j)=0.
>>
>>             end if
>>
>>           end if
>>
>>
>>         end do
>>
>>       end do
>>
>>     end do
>>
>>
>>   end do
>>
>> end do
>>
>> year=ispan(1999,2012,1)
>>
>> year!0="year"
>>
>> year&year=year
>>
>> month=ispan(1,12,1)
>>
>> month!0="month"
>>
>> month&month=month
>>
>> day=ispan(1,31,1)
>>
>> day!0="day"
>>
>> day&day=day
>>
>>
>> grid!0="year"
>>
>> grid!1="month"
>>
>> grid!2="day"
>>
>> grid!3="lat"
>>
>> grid!4="lon"
>>
>> grid&year=year
>>
>> grid&month=month
>>
>> grid&day=day
>>
>> grid&lat=lat
>>
>> grid&lon=lon
>>
>>
>> system("rm climo_snowcover_asia.nc")
>>
>> out=addfile("climo_snowcover_asia.nc","c")
>>
>> out->grid=grid
>>
>>
>>
>> Michael Notaro
>> Associate Director
>> Nelson Institute Center for Climatic Research
>> University of Wisconsin-Madison
>> Phone: (608) 261-1503
>> Email: mnotaro at wisc.edu
>>
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>>
>
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