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From: <>
Date: Wed Dec 29 2010 - 09:28:16 MST

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Sahidul,

Dennis and I chatted offline about this, and I took your code, used one =
of our own MODIS files,=20
and created a script that uses "rcm2rgrid" to interpolate your data to a =
rectilinear grid that you
can now easily get a cross section from.

Please see the attached script and look for the "rcm2rgrid" call. Also =
look for comments that
start with ";;". These may or may not be needed with your data.

Some notes:

  - Your lon2d1 must be ordered east-to-west in order to use rcm2rgrid. =
If not, it must be flipped.
    I've added this in the attached script, but commented it out.

  - Similiarly for lat2d1: it must be ordered south-to-north. I did not =
do this in the attached script,
     because my test data was S-N.
 =20
  - You will need to play around with the creation of the "lat" and =
"lon" 1D arrays to get them the
    right size for your data.

  - The missing values for the lon2d1 and lat2d1 arrays were stated to =
be -999.9, but they were
     actually -999 on the file. I don't know if this is the case with =
your data, but I've added code
     (commented with ;;) to deal with this.

  - You need to set res@gsnAddCyclic =3D False for non-global data.

  - I changed the cnCellFill Mode from "CellFill" to "RasterFill".=

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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"
;*********************************
begin
;*********************************
; Read in four MODIS HDF files
;*********************************
  f = addfile("MOD07_L2.A2010277.0535.005.2010277185110.hdf","r")

;*************************************************************
; Read in cloud temperature
;*************************************************************
  wv1s = f->Retrieved_Temperature_Profile(0,:,:)

; Apply scale and offset and convert to double
  wv1 = wv1s@scale_factor*1.d * (wv1s - wv1s@add_offset)

  time = doubletoint(f->Scan_Start_Time(0,0))
  gdate = ut_inv_calendar(1993,1,1,0,0,time(0),"years since 1993-01-01",0)
  date2d = ut_calendar(gdate,0)
  date = date2d(0,:)
  lev = (/300,400,500,600,700,800,900,1000/)

  lat2d1 = f->Latitude
  lon2d1 = f->Longitude

;; This code may not be necessary with your file, so I've commented it out
;; lat2d1@_FillValue = -999 ; File says -999.9, but values are -999
;; lon2d1@_FillValue = -999 ; Ditto

  latmin = min(lat2d1)
  latmax = max(lat2d1)
  lonmin = min(lon2d1)
  lonmax = max(lon2d1)

;---Get ready to interpolate data to rectilinear grid
  lat = fspan(latmin,latmax,300)
  lon = fspan(lonmin,lonmax,300)
  lat@units = "degrees_north"
  lon@units = "degrees_east"

;; Longitude values need to go from east-to-west, so flip both
;; the longitude and data values in the rightmost dimension.
;; lon2d1 = (/ lon2d1(:,::-1) /) ; Values need to go from east-to-west
;; wv1 = (/ wv1(:,::-1) /) ; for call to rcm2grid.
   
;---Regrid to regular lat/lon grid
  wv1rect = rcm2rgrid(lat2d1,lon2d1,wv1,lat,lon,0)

;---Double check that values look okay.
  print("min/max wv1 = " + min(wv1) + "/" + max(wv1))
  print("min/max wv1rect = " + min(wv1rect) + "/" + max(wv1rect))

;---Set up coordinate arrays for interpolated variable.
  wv1rect!0 = "lat"
  wv1rect!1 = "lon"
  wv1rect&lat = lat
  wv1rect&lon = lon
  printVarSummary(wv1rect)

;*************************************************************
; Start the graphics
;*************************************************************
  wks = gsn_open_wks("ps", "hdf4sds")
  gsn_define_colormap(wks,"rainbow+gray") ; choose colormap

;*************************************************************
; Set some resources that will apply to the base
; contour/map plot that we are going to use to
; overlay the other contour plots on.
;*************************************************************
  res = True

  res@gsnMaximize = True ; maximize pot in frame
; res@gsnFrame = False ; don't advance frame
; res@gsnDraw = False ; don't draw plot

  res@cnFillOn = True ; color Fill
  res@cnFillMode = "RasterFill" ; Raster Mode
  res@cnRasterSmoothingOn = True
  res@cnRasterMinCellSizeF = 0.0005
  res@cnLinesOn = False ; Turn off contour lines
  res@cnLineLabelsOn = False ; Turn off contour lines
  res@cnMaxLevelCount = 100

  res@gsnSpreadColors = True ; use full colormap
  res@gsnSpreadColorStart = 5
  res@gsnSpreadColorEnd = -2

  res@trGridType = "TriangularMesh"

  res@gsnAddCyclic = False ; Data is not cyclic

;******************************************************************
; Make a copy of the resources at this point, because these are
; the resources we want to apply to the rest of the contour plots
; we're going to create later.
;******************************************************************
  res1 = res

;
;******************************************************************
; Set the rest of the resources that we only want to apply to
; the base map/contour plot.
;
;******************************************************************
  res@lbTitleString = wv1s@long_name
  res@lbTitleFontHeightF = 0.01 ; Make font smaller
  res@lbLabelAutoStride = True ; Nice stride for labels
  res@lbLabelFontHeightF = 0.012 ; Make labels bigger
  res@lbBoxLinesOn = False

  res@mpDataBaseVersion = "MediumRes" ; Higher res coastline
  res@mpProjection = "Orthographic"

; Set limits of map, based on the min/max of all four datasets.
  res@mpLimitMode = "LatLon"
  res@mpMinLatF = latmin
  res@mpMaxLatF = latmax
  res@mpMinLonF = lonmin
  res@mpMaxLonF = lonmax
  res@mpGridAndLimbOn = True
  res@mpCenterLonF = (lonmin+lonmax)*0.5
  res@mpCenterLatF = (latmin+latmax)*0.5

  res@pmTickMarkDisplayMode = "Always"

  res@tiMainString = "Four MODIS swaths : " + date(0) + "/" + \
                                     date(1) + "/" + date(2) + " " + \
                                     date(3) + ":" + date(4) + " - 18:45"
  res@gsnAddCyclic = False

  res@cnLevelSelectionMode = "ManualLevels" ; set manual contour levels
  res@cnMinLevelValF = 200
  res@cnMaxLevelValF = 300
  res@cnLevelSpacingF = 5

;---Plot original data
  res@sfXArray = lon2d1
  res@sfYArray = lat2d1
  res@tiMainString = "Original data with 2D lat/lon coordinates"
  plot = gsn_csm_contour_map(wks,wv1, res)

  delete(res@sfXArray) ; Not needed for next plot because
  delete(res@sfYArray) ; we now have coordinate arrays.

;---Plot interpolated data.
  res@tiMainString = "Interpolated data with 1D lat/lon coordinates"
  plot = gsn_csm_contour_map(wks,wv1rect, res)
end

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I've attached a PNG that shows both the original data and the =
interpolated data so you can
see the difference.

Now that "wv1" has been interpolated to a rectlinear grid, you can use =
coordinate subscripting to
grab cross sections.

On Dec 29, 2010, at 5:53 AM, Dennis Shea wrote:

> The data are 2d lat/lon swath.
> Please see if rcm2rgrid [rcm2rgrid_Wrap] or rcm2points
> can be used to interpolate to the desired latitude.
>=20
> You can the plot the crosssection using the triangular
> mesh graphical option or interpolating to specified
> pressure levels. [ef int2p_n]
>=20
> =
http://www.ncl.ucar.edu/Document/Functions/Contributed/int2p_n_Wrap.shtml
>=20
> Good luck
>=20
>=20
>=20
> On 12/29/10 5:25 AM, Sahidul wrote:
>> 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"
>> ;*********************************
>> begin
>> ;*********************************
>> ; Read in four MODIS HDF files
>> ;*********************************
>> f =3D addfile("MOD07_L2.A2010277.0535.005.2010277185110.hdf","r")
>>=20
>> ;*************************************************************
>> ; Read in cloud temperature
>> ;*************************************************************
>> wv1s =3D f->Retrieved_Temperature_Profile(0,:,:)
>>=20
>> ; Apply scale and offset and convert to double
>> wv1 =3D wv1s@scale_factor*1.d * (wv1s - wv1s@add_offset)
>>=20
>> time =3D doubletoint(f->Scan_Start_Time(0,0))
>> gdate =3D ut_inv_calendar(1993,1,1,0,0,time(0),"years since =
1993-01-01",0)
>> date2d =3D ut_calendar(gdate,0)
>> date =3D date2d(0,:)
>> lev =3D (/300,400,500,600,700,800,900,1000/)
>>=20
>> lat2d1 =3D f->Latitude
>> lon2d1 =3D f->Longitude
>>=20
>> ;*************************************************************
>> ; Start the graphics
>> ;*************************************************************
>> wks =3D gsn_open_wks("ps", "hdf4sds")
>> gsn_define_colormap(wks,"rainbow+gray") ; choose colormap
>>=20
>> ;*************************************************************
>> ; Set some resources that will apply to the base
>> ; contour/map plot that we are going to use to
>> ; overlay the other contour plots on.
>> ;*************************************************************
>> res =3D True
>>=20
>> res@gsnMaximize =3D True ; maximize pot in =
frame
>> res@gsnFrame =3D False ; don't advance =
frame
>> res@gsnDraw =3D False ; don't draw plot
>>=20
>>=20
>> res@cnFillOn =3D True ; color Fill
>> res@cnFillMode =3D "CellFill" ; Raster Mode
>> res@cnRasterSmoothingOn =3D True
>> res@cnRasterMinCellSizeF =3D 0.0005
>> res@cnLinesOn =3D False ; Turn off contour =
lines
>> res@cnLineLabelsOn =3D False ; Turn off contour =
lines
>> res@cnMaxLevelCount =3D 100
>>=20
>> res@gsnSpreadColors =3D True ; use full colormap
>> res@gsnSpreadColorStart =3D 5
>> res@gsnSpreadColorEnd =3D -2
>>=20
>> res@trGridType =3D "TriangularMesh"
>>=20
>> res@gsnAddCyclic =3D False ; Data is not cyclic
>>=20
>> ;******************************************************************
>> ; Make a copy of the resources at this point, because these are
>> ; the resources we want to apply to the rest of the contour plots
>> ; we're going to create later.
>> ;******************************************************************
>> res1 =3D res
>>=20
>> ;
>> ;******************************************************************
>> ; Set the rest of the resources that we only want to apply to
>> ; the base map/contour plot.
>> ;
>> ;******************************************************************
>> res@lbTitleString =3D wv1s@long_name
>> res@lbTitleFontHeightF =3D 0.01 ; Make font =
smaller
>> res@lbLabelAutoStride =3D True ; Nice stride for =
labels
>> res@lbLabelFontHeightF =3D 0.012 ; Make labels =
bigger
>> res@lbBoxLinesOn =3D False
>>=20
>> res@mpDataBaseVersion =3D "MediumRes" ; Higher res =
coastline
>> res@mpProjection =3D "Orthographic"
>>=20
>> ; Set limits of map, based on the min/max of all four datasets.
>> res@mpLimitMode =3D "LatLon"
>> res@mpMinLatF =3D min((/lat2d1/))
>> res@mpMaxLatF =3D max((/lat2d1/))
>> res@mpMinLonF =3D min((/lon2d1/))
>> res@mpMaxLonF =3D max((/lon2d1/))
>> res@mpGridAndLimbOn =3D True
>> res@mpCenterLonF =3D 80 ; change map center
>> res@mpCenterLatF =3D 20
>>=20
>> res@pmTickMarkDisplayMode =3D "Always"
>>=20
>> res@tiMainString =3D "Four MODIS swaths : " + =
date(0) +
>> "/" + \
>> date(1) + "/" + date(2) + " " + =
\
>> date(3) + ":" + date(4) + " - =
18:45"
>>=20
>> res@sfXArray =3D lon2d1
>> res@sfYArray =3D lat2d1
>>=20
>> res =3D True
>> res@cnLevelSelectionMode =3D "ManualLevels" ; set manual contour =
levels
>> res@cnMinLevelValF =3D 200
>> res@cnMaxLevelValF =3D 300
>> res@cnLevelSpacingF =3D 5
>> plot =3D gsn_csm_contour_map(wks,wv1, res)
>> draw(plot)
>> frame(wks)
>> end
>> =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D
>>=20
>> Kindly help me to sort the problems.
>>=20
>> Thanking you,
>>=20
>>=20
>>=20
>> _______________________________________________
>> ncl-talk mailing list
>> List instructions, subscriber options, unsubscribe:
>> http://mailman.ucar.edu/mailman/listinfo/ncl-talk
> _______________________________________________
> ncl-talk mailing list
> List instructions, subscriber options, unsubscribe:
> http://mailman.ucar.edu/mailman/listinfo/ncl-talk

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