Re: interpolate pixel level data into regular grid

From: Luo, Chao <chao.luo_at_nyahnyahspammersnyahnyah>
Date: Tue Oct 30 2012 - 17:38:12 MDT

It works by adding srcgrid. The original data are satellite biomass burning emission. One question is that if the result by this interpolation method is mass conserve. Thanks a lot.

CL

----- Original Message -----
From: "Mary Haley" <haley@ucar.edu>
To: "Chao Luo" <chao.luo@eas.gatech.edu>
Cc: "ncl-talk Talk" <ncl-talk@ucar.edu>
Sent: Tuesday, October 30, 2012 1:18:53 PM
Subject: Re: interpolate pixel level data into regular grid

Okay, I guess your "x" *doesn't* have coordinate arrays. This looks like unstructured data.

Try adding these two lines:

  Opt@SrcGridLat = sfile->latin
  Opt@SrcGridLon = silfe->lonin

You might additionally need to set Opt@SrcMask2D if you have missing values. Something like this:

   Opt@SrcMask2D = where(.not.ismissing(x),1,0) ; Creates array of 0s and 1s, where 1 represents a non-missing value

--Mary

On Oct 30, 2012, at 2:06 PM, Luo, Chao wrote:

> I have tried this and still there is error. The message is:
> write_grid_description: can't determine what type of source grid you have.
> I think this is related to lat/lon of var I want to interpolate. Following is the script I have tried. Please guide me what's wrong of my script. Thanks!
>
> CL
>
> ---------------------------
> begin
>
> ;---Interpolation methods to use
> methods = (/"bilinear","patch","conserve"/)
> nmethods = dimsizes(methods)
>
> ;---Read variable to regrid
>
> srcFileName = "../dat/biomass_burning_20120313_18_23.nc"
> sfile = addfile(srcFileName,"r") ; source grid
>
> x = sfile->CO_emission ; 6 x 1129
> var = x(:,0) ; first time
> latin = sfile->Latitude
> latin@units = "degrees_north"
> lonin = sfile->Longitude
> lonin@units = "degrees_east"
>
> dimx = dimsizes( var )
> nlat = dimx(0)
> mlon = dimx(0)
>
> print(nlat)
> print(mlon)
>
> ;---Create destination lat/lon arrays
> NLAT36 = 112
> MLON36 = 148
>
> ; lat36 = new (/NLAT36,MLON36/)
> ; lon36 = new (/NLAT36,MLON36/)
>
> lat36 = asciiread("/data11/cluo/cmaq4.6/data/post/obs/grids_148x112/crogrids_lat_148x112.dat" \
> , (/NLAT36,MLON36/),"float")
> lon36 = asciiread("/data11/cluo/cmaq4.6/data/post/obs/grids_148x112/crogrids_lon_148x112.dat" \
> , (/NLAT36,MLON36/),"float")
>
> Opt = True ; Regridding options
> Opt@ForceOverwrite = True
> Opt@DstGridLat = lat36
> Opt@DstGridLon = lon36
>
> var_regrid = ESMF_regrid(var,Opt)
>
> -----------------------
>
> ----- Original Message -----
> From: "Mary Haley" <haley@ucar.edu>
> To: "Chao Luo" <chao.luo@eas.gatech.edu>
> Cc: "ncl-talk Talk" <ncl-talk@ucar.edu>
> Sent: Tuesday, October 30, 2012 10:50:05 AM
> Subject: Re: interpolate pixel level data into regular grid
>
> Chao,
>
> Dennis suggested the ESMF regridding routines.
>
> You might want to look at ESMF_regrid specifically.
>
> Since you have 1D coordinate arrays for the source grid, and want a 12 km x 12 km destination grid, I suggest looking at example ESMF_regrid_2.ncl:
>
> http://www.ncl.ucar.edu/Applications/ESMF.shtml
>
> This shows how to regrid from a rectilinear grid (which it looks like you have), to a lat/lon grid that you define, which I assume you have.
>
> This example uses all three methods of interpolation (bilinear, patch, conserve) and regrids to two different grids.
>
> I think you just need to set:
>
> ---Common resources
> Opt = True
>
> Opt@ForceOverwrite = True
>
> Opt@DstGridLat = lat12
> Opt@DstGridLon = lon12
>
> where lat12 and lon12 contain arrays that represent the 12 km grid.
>
> Then, call ESMF_regrid:
>
> var_regrid = ESMF_regrid(var,Opt)
>
> Where "var" is the variable you want to regrid that contains the 1D coordinate arrays.
>
>
> --Mary
>
>
>
> On Oct 30, 2012, at 11:09 AM, Luo, Chao wrote:
>
>> x refer to time. This is hourly biomass emission data from 18:00-23:00 on 3/17/2012. What I want to do is to interpolate this pixel level data to regular grid (12km x 12km), but don't know which function can be used. Any suggestions are very appreciated!
>>
>> ----- Original Message -----
>> From: "Dennis Shea" <shea@ucar.edu>
>> To: "Chao Luo" <chao.luo@eas.gatech.edu>
>> Cc: "ncl-talk" <ncl-talk@ucar.edu>
>> Sent: Monday, October 29, 2012 5:00:34 PM
>> Subject: Re: interpolate pixel level data into regular grid
>>
>> The issue is "What does the named dimension 'x' refer to?"
>> There is nothing on the file to indicate its purpose.
>> You must find out before proceding.
>>
>> Attached is a simple NCL script that plots the data.
>>
>> netcdf biomass_burning_20120317_18_23 {
>> dimensions:
>> x = 6 ;
>> y = 371 ;
>> variables:
>> float Latitude(y) ;
>> Latitude:long_name = "Latitude" ;
>> Latitude:units = "degree" ;
>> Latitude:valid_range = -90.f, 90.f ;
>> Latitude:scale_factor = 1.f ;
>> Latitude:add_offset = 0.f ;
>> Latitude:_FillValue = -9.f ;
>> float Longitude(y) ;
>> Longitude:long_name = "Longitude" ;
>> Longitude:units = "degree" ;
>> Longitude:valid_range = -180.f, 180.f ;
>> Longitude:scale_factor = 1.f ;
>> Longitude:add_offset = 0.f ;
>> Longitude:_FillValue = -9.f ;
>> float Burned_area(y, x) ;
>> [snip]
>>
>> On 10/29/12 5:15 PM, Luo, Chao wrote:
>>> Hi Dennis,
>>>
>>> I have checked example 8 and 15. They both require two dimensional lat/lon. The lat/lon of files I have are 1 dimension, but data array is 2D (I am not familiar with these format data). Do I need convert lat/lon from 1D to 2D, and then do interpolation in this case? I am attaching the file. Any suggestions and help are very appreciated!
>>>
>>> CL
>>>
>>> ----- Original Message -----
>>> From: "Dennis Shea" <shea@ucar.edu>
>>> To: "Chao Luo" <chao.luo@eas.gatech.edu>
>>> Cc: "ncl-talk" <ncl-talk@ucar.edu>
>>> Sent: Monday, October 29, 2012 3:35:54 PM
>>> Subject: Re: interpolate pixel level data into regular grid
>>>
>>> http://www.ncl.ucar.edu/Applications/ESMF.shtml
>>>
>>> Examples 8 and 15 may be of use.
>>>
>>> On 10/29/12 3:59 PM, Luo, Chao wrote:
>>>> Hi,
>>>>
>>>> I was wondering if NCL has some functions, which can be used to
>>>> interpolate satellite pixel level data into regular data. Any helps are
>>>> very appreciated.
>>>>
>>>> CL
>>>>
>>>>
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Received on Tue Oct 30 17:38:28 2012

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