[ncl-talk] plotting problem with JRA55
MIRA BERDAHL
mlosic at scarletmail.rutgers.edu
Tue Mar 7 13:33:44 MST 2017
Hi Mary,
Yes that is right, I have changed the script to use gsn_csm_vector_map and
there is a map displayed now. Thank you! Trouble is, the longitude is still
wrong, so it is plotting my subregion in the wrong place. The latitudes
look good, but the range of longitudes should be -110/30 (or 250/30).
I've attached my new plots so you can see where it is plotting them.
Any thoughts on why this would be shifted like this?
Thanks for any ideas,
Mira
I've copied my script and variable information below again:
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
;************************************************
; read in netCDF files
;************************************************
a = addfile("Uwv.mon.mean.nc","r") ; u moisture transport
b = addfile("Vwv.mon.mean.nc","r") ; v moisture transport
;************************************************
; read in zonal [u] and meridional [v] moisture transport (water vapor)
;************************************************
u_wv = a->UWV_GDS0_EATM_S123(1:648,:,:)
v_wv = b->VWV_GDS0_EATM_S123(1:648,:,:) ;
lat = a->g0_lat_1
lon = a->g0_lon_2
printVarSummary(lat)
printVarSummary(lon)
printVarSummary(u_wv)
printVarSummary(v_wv)
; Calculate the seasonal averages.
uwvDJF = month_to_season(u_wv, "DJF")
vwvDJF = month_to_season(v_wv, "DJF")
printVarSummary(uwvDJF)
printVarSummary(vwvDJF)
; from the matlab script i wrote: findExtremeYrs, i pulled out the extreme
years (> or < 1std) that i want to average and plot here.
;ans = 7 (longitude of IL)
;We find the years where the Icelandic low is in an “extreme east” (high
Long) position to be: 1966, 1968, 1969, 1974, 1983, 1984, 1994, 1995, 1999
and 2005.
;The years with “extreme west” (low long) position of the Icelandic Low
are: 1963, 1964, 1980, 1985, 1987, 1991, 1992, 1996, 2003 and 2006.
; this data starts at 1958 (this is index 0), so 1963=5, 1973=15 etc.
uDJF_lon_hi = uwvDJF((/8,10,11,16,25,26,36,37,41,47/),:,:)
uDJF_lon_lo = uwvDJF((/5,6,22,27,29,33,34,38,45,48/),:,:)
vDJF_lon_hi = vwvDJF((/8,10,11,16,25,26,36,37,41,47/),:,:)
vDJF_lon_lo = vwvDJF((/5,6,22,27,29,33,34,38,45,48/),:,:)
uAvgTime_hi = dim_avg_n_Wrap(uDJF_lon_hi,0)
uAvgTime_lo = dim_avg_n_Wrap(uDJF_lon_lo,0)
printVarSummary(uAvgTime_hi)
printVarSummary(uAvgTime_lo)
vAvgTime_hi = dim_avg_n_Wrap(vDJF_lon_hi,0)
vAvgTime_lo = dim_avg_n_Wrap(vDJF_lon_lo,0)
printVarSummary(vAvgTime_hi)
printVarSummary(vAvgTime_lo)
; sneaky way to copy metadata over first.
diff_u = uAvgTime_hi;
diff_v = vAvgTime_hi;
diff_u = uAvgTime_lo - uAvgTime_hi
diff_v = vAvgTime_lo - vAvgTime_hi
printVarSummary(diff_u)
printVarSummary(diff_v)
;************************************************
; create plot
;************************************************
wks = gsn_open_wks("ps","Panel_lon_WV") ; open a ps file
gsn_define_colormap(wks,"temp1")
plot = new(3,graphic) ; create a plot array
;---- set common resources for all plots
res = True
res at gsnDraw = False ; dont draw
res at gsnFrame = False ; dont advance frame
res at cnInfoLabelOn = False ; trn off cn info label
res at gsnAddCyclic = False ; has to do with wrapping the lonitude at 0/360
res at cnFillPalette = "matlab_jet"
;***********************************************
; ----wind vector plot
;***********************************************
vcres = res
vcres at vcRefAnnoOrthogonalPosF = -1.0 ; move ref vector up
vcres at vcRefMagnitudeF = 10.0 ; define vector ref mag
vcres at vcRefLengthF = 0.045 ; define length of vec ref
vcres at vcGlyphStyle = "CurlyVector" ; turn on curly vectors
vcres at vcMinDistanceF = 0.017
vcres at mpFillOn = False ; turn off gray fill
vcres at mpOutlineBoundarySets = "National" ; turn on country boundaries
;vcres at mpFillBoundarySets = AllBoundaries
vcres at mpGeophysicalLineColor = "Navy" ; color of cont. outlines
vcres at mpGeophysicalLineThicknessF = 1.5 ; thickness of outlines
vcres at gsnRightString = "" ; turn off thue units string
plot(0) = gsn_csm_vector_map(wks,uAvgTime_hi,vAvgTime_hi,vcres)
plot(1) = gsn_csm_vector_map(wks,uAvgTime_lo,vAvgTime_lo,vcres)
plot(2) = gsn_csm_vector_map(wks, diff_u, diff_v,vcres)
;************************************************
; create panel
;************************************************
resP = False ; modify the panel plot
resP at txString = "lon - water vapor transport"
gsn_panel(wks,(/plot/),(/3,1/),resP) ; now draw as one plot;
end
************************************************************
*******************
Variable: lat
Type: float
Total Size: 212 bytes
53 values
Number of Dimensions: 1
Dimensions and sizes: [g0_lat_1 | 53]
Coordinates:
g0_lat_1: [90..25]
Number Of Attributes: 9
La1 : 90
Lo1 : 0
La2 : -90
Lo2 : -1.25
Di : 1.25
Dj : 1.25
units : degrees_north
GridType : Cylindrical Equidistant Projection Grid
long_name : latitude
Variable: lon
Type: float
Total Size: 452 bytes
113 values
Number of Dimensions: 1
Dimensions and sizes: [g0_lon_2 | 113]
Coordinates:
g0_lon_2: [250..30]
Number Of Attributes: 9
La1 : 90
Lo1 : 0
La2 : -90
Lo2 : -1.25
Di : 1.25
Dj : 1.25
units : degrees_east
GridType : Cylindrical Equidistant Projection Grid
long_name : longitude
Variable: u_wv
Type: float
Total Size: 15523488 bytes
3880872 values
Number of Dimensions: 3
Dimensions and sizes: [initial_time0_hours | 648] x [g0_lat_1 | 53] x
[g0_lon_2 | 113]
Coordinates:
initial_time0_hours: [1385736..1858344]
g0_lat_1: [90..25]
g0_lon_2: [250..30]
Number Of Attributes: 15
N : <ARRAY of 12 elements>
statistical_process_duration : instantaneous (beginning at
reference time at intervals of 6 hours)
statistical_process_descriptor : average of N uninitialized analyses
forecast_time_units : hours
forecast_time : 0
level : 0
parameter_number : 157
parameter_table_version : 200
gds_grid_type : 0
level_indicator : 200
_FillValue : 1e+20
units : kg/m/s
long_name : Zonal water vapour flux
center : Japanese Meteorological Agency - Tokyo (RSMC)
sub_center : 241
Variable: v_wv
Type: float
Total Size: 15523488 bytes
3880872 values
Number of Dimensions: 3
Dimensions and sizes: [initial_time0_hours | 648] x [g0_lat_1 | 53] x
[g0_lon_2 | 113]
Coordinates:
initial_time0_hours: [1385736..1858344]
g0_lat_1: [90..25]
g0_lon_2: [250..30]
Number Of Attributes: 15
N : <ARRAY of 12 elements>
statistical_process_duration : instantaneous (beginning at
reference time at intervals of 6 hours)
statistical_process_descriptor : average of N uninitialized analyses
forecast_time_units : hours
forecast_time : 0
level : 0
parameter_number : 152
parameter_table_version : 200
gds_grid_type : 0
level_indicator : 200
_FillValue : 1e+20
units : Kg/m/s
long_name : Meridional water vapour flux
center : Japanese Meteorological Agency - Tokyo (RSMC)
sub_center : 241
Variable: uwvDJF
Type: float
Total Size: 1293624 bytes
323406 values
Number of Dimensions: 3
Dimensions and sizes: [initial_time0_hours | 54] x [g0_lat_1 | 53] x
[g0_lon_2 | 113]
Coordinates:
initial_time0_hours: [1385736..1850328]
g0_lat_1: [90..25]
g0_lon_2: [250..30]
Number Of Attributes: 16
N : <ARRAY of 12 elements>
statistical_process_duration : instantaneous (beginning at
reference time at intervals of 6 hours)
statistical_process_descriptor : average of N uninitialized analyses
forecast_time_units : hours
forecast_time : 0
level : 0
parameter_number : 157
parameter_table_version : 200
gds_grid_type : 0
level_indicator : 200
_FillValue : 1e+20
units : kg/m/s
long_name : DJF: Zonal water vapour flux
center : Japanese Meteorological Agency - Tokyo (RSMC)
sub_center : 241
NMO : 0
Variable: vwvDJF
Type: float
Total Size: 1293624 bytes
323406 values
Number of Dimensions: 3
Dimensions and sizes: [initial_time0_hours | 54] x [g0_lat_1 | 53] x
[g0_lon_2 | 113]
Coordinates:
initial_time0_hours: [1385736..1850328]
g0_lat_1: [90..25]
g0_lon_2: [250..30]
Number Of Attributes: 16
N : <ARRAY of 12 elements>
statistical_process_duration : instantaneous (beginning at
reference time at intervals of 6 hours)
statistical_process_descriptor : average of N uninitialized analyses
forecast_time_units : hours
forecast_time : 0
level : 0
parameter_number : 152
parameter_table_version : 200
gds_grid_type : 0
level_indicator : 200
_FillValue : 1e+20
units : Kg/m/s
long_name : DJF: Meridional water vapour flux
center : Japanese Meteorological Agency - Tokyo (RSMC)
sub_center : 241
NMO : 0
Variable: uAvgTime_hi
Type: float
Total Size: 23956 bytes
5989 values
Number of Dimensions: 2
Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]
Coordinates:
g0_lat_1: [90..25]
g0_lon_2: [250..30]
Number Of Attributes: 17
NMO : 0
sub_center : 241
center : Japanese Meteorological Agency - Tokyo (RSMC)
long_name : DJF: Zonal water vapour flux
units : kg/m/s
_FillValue : 1e+20
level_indicator : 200
gds_grid_type : 0
parameter_table_version : 200
parameter_number : 157
level : 0
forecast_time : 0
forecast_time_units : hours
statistical_process_descriptor : average of N uninitialized analyses
statistical_process_duration : instantaneous (beginning at
reference time at intervals of 6 hours)
N : <ARRAY of 12 elements>
average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours
Variable: uAvgTime_lo
Type: float
Total Size: 23956 bytes
5989 values
Number of Dimensions: 2
Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]
Coordinates:
g0_lat_1: [90..25]
g0_lon_2: [250..30]
Number Of Attributes: 17
NMO : 0
sub_center : 241
center : Japanese Meteorological Agency - Tokyo (RSMC)
long_name : DJF: Zonal water vapour flux
units : kg/m/s
_FillValue : 1e+20
level_indicator : 200
gds_grid_type : 0
parameter_table_version : 200
parameter_number : 157
level : 0
forecast_time : 0
forecast_time_units : hours
statistical_process_descriptor : average of N uninitialized analyses
statistical_process_duration : instantaneous (beginning at
reference time at intervals of 6 hours)
N : <ARRAY of 12 elements>
average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours
Variable: vAvgTime_hi
Type: float
Total Size: 23956 bytes
5989 values
Number of Dimensions: 2
Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]
Coordinates:
g0_lat_1: [90..25]
g0_lon_2: [250..30]
Number Of Attributes: 17
NMO : 0
sub_center : 241
center : Japanese Meteorological Agency - Tokyo (RSMC)
long_name : DJF: Meridional water vapour flux
units : Kg/m/s
_FillValue : 1e+20
level_indicator : 200
gds_grid_type : 0
parameter_table_version : 200
parameter_number : 152
level : 0
forecast_time : 0
forecast_time_units : hours
statistical_process_descriptor : average of N uninitialized analyses
statistical_process_duration : instantaneous (beginning at
reference time at intervals of 6 hours)
N : <ARRAY of 12 elements>
average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours
Variable: vAvgTime_lo
Type: float
Total Size: 23956 bytes
5989 values
Number of Dimensions: 2
Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]
Coordinates:
g0_lat_1: [90..25]
g0_lon_2: [250..30]
Number Of Attributes: 17
NMO : 0
sub_center : 241
center : Japanese Meteorological Agency - Tokyo (RSMC)
long_name : DJF: Meridional water vapour flux
units : Kg/m/s
_FillValue : 1e+20
level_indicator : 200
gds_grid_type : 0
parameter_table_version : 200
parameter_number : 152
level : 0
forecast_time : 0
forecast_time_units : hours
statistical_process_descriptor : average of N uninitialized analyses
statistical_process_duration : instantaneous (beginning at
reference time at intervals of 6 hours)
N : <ARRAY of 12 elements>
average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours
Variable: diff_u
Type: float
Total Size: 23956 bytes
5989 values
Number of Dimensions: 2
Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]
Coordinates:
g0_lat_1: [90..25]
g0_lon_2: [250..30]
Number Of Attributes: 17
average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours
N : <ARRAY of 12 elements>
statistical_process_duration : instantaneous (beginning at
reference time at intervals of 6 hours)
statistical_process_descriptor : average of N uninitialized analyses
forecast_time_units : hours
forecast_time : 0
level : 0
parameter_number : 157
parameter_table_version : 200
gds_grid_type : 0
level_indicator : 200
_FillValue : 1e+20
units : kg/m/s
long_name : DJF: Zonal water vapour flux
center : Japanese Meteorological Agency - Tokyo (RSMC)
sub_center : 241
NMO : 0
Variable: diff_v
Type: float
Total Size: 23956 bytes
5989 values
Number of Dimensions: 2
Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]
Coordinates:
g0_lat_1: [90..25]
g0_lon_2: [250..30]
Number Of Attributes: 17
average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours
N : <ARRAY of 12 elements>
statistical_process_duration : instantaneous (beginning at
reference time at intervals of 6 hours)
statistical_process_descriptor : average of N uninitialized analyses
forecast_time_units : hours
forecast_time : 0
level : 0
parameter_number : 152
parameter_table_version : 200
gds_grid_type : 0
level_indicator : 200
_FillValue : 1e+20
units : Kg/m/s
long_name : DJF: Meridional water vapour flux
center : Japanese Meteorological Agency - Tokyo (RSMC)
sub_center : 241
NMO : 0
On Tue, Mar 7, 2017 at 8:16 AM, Mary Haley <haley at ucar.edu> wrote:
> Mira,
>
> In order to generate vectors over a map, you need to call
> gsn_csm_vector_map, and not gsn_csm_vector map.
>
> I think that's the only change you need to make to your script.
>
> --Mary
>
>
> On Mon, Mar 6, 2017 at 8:18 PM, MIRA BERDAHL <mlosic at scarletmail.rutgers.
> edu> wrote:
>
>> Hi,
>> I'm trying to plot moisture transport from JRA55 output. I can generate
>> figures, where the latitude looks correct, but my longitude is not
>> correctly labelled. Also, there is no map generated, just the vector
>> field.
>> Can anyone see what the problem is with my code? I also get the
>> following error:
>> warning:VectorFieldSetValues: irregular coordinate array vfXArray
>> non-monotonic: defaulting vfXArray
>> I've copied my code and the variable information below. I've attached the
>> figure I can generate.
>> Thank you in advance,
>> Mira
>>
>> ************************************************************
>> ******************
>>
>> 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
>> ;************************************************
>> ; read in netCDF files
>> ;************************************************
>> a = addfile("Uwv.mon.mean.nc","r") ; u moisture transport
>> b = addfile("Vwv.mon.mean.nc","r") ; v moisture transport
>>
>> ;************************************************
>> ; read in zonal [u] and meridional [v] moisture transport (water vapor)
>> ;************************************************
>>
>> u_wv = a->UWV_GDS0_EATM_S123(1:648,:,:)
>> v_wv = b->VWV_GDS0_EATM_S123(1:648,:,:) ;
>>
>> lat = a->g0_lat_1
>> lon = a->g0_lon_2
>>
>> printVarSummary(lat)
>> printVarSummary(lon)
>>
>> printVarSummary(u_wv)
>> printVarSummary(v_wv)
>>
>>
>> ; Calculate the seasonal averages.
>> uwvDJF = month_to_season(u_wv, "DJF")
>> vwvDJF = month_to_season(v_wv, "DJF")
>>
>>
>> printVarSummary(uwvDJF)
>> printVarSummary(vwvDJF)
>>
>>
>> ; from the matlab script i wrote: findExtremeYrs, i pulled out the
>> extreme years (> or < 1std) that i want to average and plot here.
>>
>>
>> ;ans = 7 (longitude of IL)
>> ;We find the years where the Icelandic low is in an “extreme east” (high
>> Long) position to be: 1966, 1968, 1969, 1974, 1983, 1984, 1994, 1995, 1999
>> and 2005.
>> ;The years with “extreme west” (low long) position of the Icelandic Low
>> are: 1963, 1964, 1980, 1985, 1987, 1991, 1992, 1996, 2003 and 2006.
>>
>>
>> ; this data starts at 1958 (this is index 0), so 1963=5, 1973=15 etc.
>>
>>
>> uDJF_lon_hi = uwvDJF((/8,10,11,16,25,26,36,37,41,47/),:,:)
>> uDJF_lon_lo = uwvDJF((/5,6,22,27,29,33,34,38,45,48/),:,:)
>>
>> vDJF_lon_hi = vwvDJF((/8,10,11,16,25,26,36,37,41,47/),:,:)
>> vDJF_lon_lo = vwvDJF((/5,6,22,27,29,33,34,38,45,48/),:,:)
>>
>> uAvgTime_hi = dim_avg_n_Wrap(uDJF_lon_hi,0)
>> uAvgTime_lo = dim_avg_n_Wrap(uDJF_lon_lo,0)
>>
>> printVarSummary(uAvgTime_hi)
>> printVarSummary(uAvgTime_lo)
>>
>> vAvgTime_hi = dim_avg_n_Wrap(vDJF_lon_hi,0)
>> vAvgTime_lo = dim_avg_n_Wrap(vDJF_lon_lo,0)
>>
>> printVarSummary(vAvgTime_hi)
>> printVarSummary(vAvgTime_lo)
>>
>>
>> ; sneaky way to copy metadata over first.
>> diff_u = uAvgTime_hi;
>> diff_v = vAvgTime_hi;
>>
>> diff_u = uAvgTime_lo - uAvgTime_hi
>> diff_v = vAvgTime_lo - vAvgTime_hi
>>
>> printVarSummary(diff_u)
>> printVarSummary(diff_v)
>>
>> ;************************************************
>> ; create plot
>> ;************************************************
>> wks = gsn_open_wks("ps","Panel_lon_WV") ; open a ps file
>> gsn_define_colormap(wks,"temp1")
>>
>> plot = new(3,graphic) ; create a plot array
>>
>> ;---- set common resources for all plots
>> res = True
>> res at gsnDraw = False ; dont draw
>> res at gsnFrame = False ; dont advance frame
>> res at cnInfoLabelOn = False ; trn off cn info label
>> res at gsnAddCyclic = False ; has to do with wrapping the lonitude at 0/360
>> res at cnFillPalette = "matlab_jet"
>>
>> ;***********************************************
>> ; ----wind vector plot
>> ;***********************************************
>> vcres = res
>> vcres at vcRefAnnoOrthogonalPosF = -1.0 ; move ref vector up
>> vcres at vcRefMagnitudeF = 10.0 ; define vector ref mag
>> vcres at vcRefLengthF = 0.045 ; define length of vec ref
>> vcres at vcGlyphStyle = "CurlyVector" ; turn on curly vectors
>> vcres at vcMinDistanceF = 0.017
>> vcres at mpFillOn = False ; turn off gray fill
>> vcres at mpOutlineBoundarySets = "National" ; turn on country boundaries
>> ;vcres at mpFillBoundarySets = AllBoundaries
>> vcres at mpGeophysicalLineColor = "Navy" ; color of cont. outlines
>> vcres at mpGeophysicalLineThicknessF = 1.5 ; thickness of outlines
>> vcres at gsnRightString = "" ; turn off thue units string
>>
>> plot(0) = gsn_csm_vector(wks,uAvgTime_hi,vAvgTime_hi,vcres)
>> plot(1) = gsn_csm_vector(wks,uAvgTime_lo,vAvgTime_lo,vcres)
>> plot(2) = gsn_csm_vector(wks, diff_u, diff_v,vcres)
>>
>> ;************************************************
>> ; create panel
>> ;************************************************
>> resP = False ; modify the panel plot
>> resP at txString = "lon - water vapor transport"
>> gsn_panel(wks,(/plot/),(/3,1/),resP) ; now draw as one plot;
>>
>>
>> end
>>
>>
>>
>>
>>
>>
>>
>>
>> ************************************************************
>> *******************
>> Variable: lat
>> Type: float
>> Total Size: 212 bytes
>> 53 values
>> Number of Dimensions: 1
>> Dimensions and sizes: [g0_lat_1 | 53]
>> Coordinates:
>> g0_lat_1: [90..25]
>> Number Of Attributes: 9
>> La1 : 90
>> Lo1 : 0
>> La2 : -90
>> Lo2 : -1.25
>> Di : 1.25
>> Dj : 1.25
>> units : degrees_north
>> GridType : Cylindrical Equidistant Projection Grid
>> long_name : latitude
>>
>> Variable: lon
>> Type: float
>> Total Size: 452 bytes
>> 113 values
>> Number of Dimensions: 1
>> Dimensions and sizes: [g0_lon_2 | 113]
>> Coordinates:
>> g0_lon_2: [250..30]
>> Number Of Attributes: 9
>> La1 : 90
>> Lo1 : 0
>> La2 : -90
>> Lo2 : -1.25
>> Di : 1.25
>> Dj : 1.25
>> units : degrees_east
>> GridType : Cylindrical Equidistant Projection Grid
>> long_name : longitude
>>
>> Variable: u_wv
>> Type: float
>> Total Size: 15523488 bytes
>> 3880872 values
>> Number of Dimensions: 3
>> Dimensions and sizes: [initial_time0_hours | 648] x [g0_lat_1 | 53] x
>> [g0_lon_2 | 113]
>> Coordinates:
>> initial_time0_hours: [1385736..1858344]
>> g0_lat_1: [90..25]
>> g0_lon_2: [250..30]
>> Number Of Attributes: 15
>> N : <ARRAY of 12 elements>
>> statistical_process_duration : instantaneous (beginning at
>> reference time at intervals of 6 hours)
>> statistical_process_descriptor : average of N uninitialized
>> analyses
>> forecast_time_units : hours
>> forecast_time : 0
>> level : 0
>> parameter_number : 157
>> parameter_table_version : 200
>> gds_grid_type : 0
>> level_indicator : 200
>> _FillValue : 1e+20
>> units : kg/m/s
>> long_name : Zonal water vapour flux
>> center : Japanese Meteorological Agency - Tokyo (RSMC)
>> sub_center : 241
>>
>> Variable: v_wv
>> Type: float
>> Total Size: 15523488 bytes
>> 3880872 values
>> Number of Dimensions: 3
>> Dimensions and sizes: [initial_time0_hours | 648] x [g0_lat_1 | 53] x
>> [g0_lon_2 | 113]
>> Coordinates:
>> initial_time0_hours: [1385736..1858344]
>> g0_lat_1: [90..25]
>> g0_lon_2: [250..30]
>> Number Of Attributes: 15
>> N : <ARRAY of 12 elements>
>> statistical_process_duration : instantaneous (beginning at
>> reference time at intervals of 6 hours)
>> statistical_process_descriptor : average of N uninitialized
>> analyses
>> forecast_time_units : hours
>> forecast_time : 0
>> level : 0
>> parameter_number : 152
>> parameter_table_version : 200
>> gds_grid_type : 0
>> level_indicator : 200
>> _FillValue : 1e+20
>> units : Kg/m/s
>> long_name : Meridional water vapour flux
>> center : Japanese Meteorological Agency - Tokyo (RSMC)
>> sub_center : 241
>>
>> Variable: uwvDJF
>> Type: float
>> Total Size: 1293624 bytes
>> 323406 values
>> Number of Dimensions: 3
>> Dimensions and sizes: [initial_time0_hours | 54] x [g0_lat_1 | 53] x
>> [g0_lon_2 | 113]
>> Coordinates:
>> initial_time0_hours: [1385736..1850328]
>> g0_lat_1: [90..25]
>> g0_lon_2: [250..30]
>> Number Of Attributes: 16
>> N : <ARRAY of 12 elements>
>> statistical_process_duration : instantaneous (beginning at
>> reference time at intervals of 6 hours)
>> statistical_process_descriptor : average of N uninitialized
>> analyses
>> forecast_time_units : hours
>> forecast_time : 0
>> level : 0
>> parameter_number : 157
>> parameter_table_version : 200
>> gds_grid_type : 0
>> level_indicator : 200
>> _FillValue : 1e+20
>> units : kg/m/s
>> long_name : DJF: Zonal water vapour flux
>> center : Japanese Meteorological Agency - Tokyo (RSMC)
>> sub_center : 241
>> NMO : 0
>>
>> Variable: vwvDJF
>> Type: float
>> Total Size: 1293624 bytes
>> 323406 values
>> Number of Dimensions: 3
>> Dimensions and sizes: [initial_time0_hours | 54] x [g0_lat_1 | 53] x
>> [g0_lon_2 | 113]
>> Coordinates:
>> initial_time0_hours: [1385736..1850328]
>> g0_lat_1: [90..25]
>> g0_lon_2: [250..30]
>> Number Of Attributes: 16
>> N : <ARRAY of 12 elements>
>> statistical_process_duration : instantaneous (beginning at
>> reference time at intervals of 6 hours)
>> statistical_process_descriptor : average of N uninitialized
>> analyses
>> forecast_time_units : hours
>> forecast_time : 0
>> level : 0
>> parameter_number : 152
>> parameter_table_version : 200
>> gds_grid_type : 0
>> level_indicator : 200
>> _FillValue : 1e+20
>> units : Kg/m/s
>> long_name : DJF: Meridional water vapour flux
>> center : Japanese Meteorological Agency - Tokyo (RSMC)
>> sub_center : 241
>> NMO : 0
>>
>> Variable: uAvgTime_hi
>> Type: float
>> Total Size: 23956 bytes
>> 5989 values
>> Number of Dimensions: 2
>> Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]
>> Coordinates:
>> g0_lat_1: [90..25]
>> g0_lon_2: [250..30]
>> Number Of Attributes: 17
>> NMO : 0
>> sub_center : 241
>> center : Japanese Meteorological Agency - Tokyo (RSMC)
>> long_name : DJF: Zonal water vapour flux
>> units : kg/m/s
>> _FillValue : 1e+20
>> level_indicator : 200
>> gds_grid_type : 0
>> parameter_table_version : 200
>> parameter_number : 157
>> level : 0
>> forecast_time : 0
>> forecast_time_units : hours
>> statistical_process_descriptor : average of N uninitialized
>> analyses
>> statistical_process_duration : instantaneous (beginning at
>> reference time at intervals of 6 hours)
>> N : <ARRAY of 12 elements>
>> average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours
>>
>> Variable: uAvgTime_lo
>> Type: float
>> Total Size: 23956 bytes
>> 5989 values
>> Number of Dimensions: 2
>> Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]
>> Coordinates:
>> g0_lat_1: [90..25]
>> g0_lon_2: [250..30]
>> Number Of Attributes: 17
>> NMO : 0
>> sub_center : 241
>> center : Japanese Meteorological Agency - Tokyo (RSMC)
>> long_name : DJF: Zonal water vapour flux
>> units : kg/m/s
>> _FillValue : 1e+20
>> level_indicator : 200
>> gds_grid_type : 0
>> parameter_table_version : 200
>> parameter_number : 157
>> level : 0
>> forecast_time : 0
>> forecast_time_units : hours
>> statistical_process_descriptor : average of N uninitialized
>> analyses
>> statistical_process_duration : instantaneous (beginning at
>> reference time at intervals of 6 hours)
>> N : <ARRAY of 12 elements>
>> average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours
>>
>> Variable: vAvgTime_hi
>> Type: float
>> Total Size: 23956 bytes
>> 5989 values
>> Number of Dimensions: 2
>> Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]
>> Coordinates:
>> g0_lat_1: [90..25]
>> g0_lon_2: [250..30]
>> Number Of Attributes: 17
>> NMO : 0
>> sub_center : 241
>> center : Japanese Meteorological Agency - Tokyo (RSMC)
>> long_name : DJF: Meridional water vapour flux
>> units : Kg/m/s
>> _FillValue : 1e+20
>> level_indicator : 200
>> gds_grid_type : 0
>> parameter_table_version : 200
>> parameter_number : 152
>> level : 0
>> forecast_time : 0
>> forecast_time_units : hours
>> statistical_process_descriptor : average of N uninitialized
>> analyses
>> statistical_process_duration : instantaneous (beginning at
>> reference time at intervals of 6 hours)
>> N : <ARRAY of 12 elements>
>> average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours
>>
>> Variable: vAvgTime_lo
>> Type: float
>> Total Size: 23956 bytes
>> 5989 values
>> Number of Dimensions: 2
>> Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]
>> Coordinates:
>> g0_lat_1: [90..25]
>> g0_lon_2: [250..30]
>> Number Of Attributes: 17
>> NMO : 0
>> sub_center : 241
>> center : Japanese Meteorological Agency - Tokyo (RSMC)
>> long_name : DJF: Meridional water vapour flux
>> units : Kg/m/s
>> _FillValue : 1e+20
>> level_indicator : 200
>> gds_grid_type : 0
>> parameter_table_version : 200
>> parameter_number : 152
>> level : 0
>> forecast_time : 0
>> forecast_time_units : hours
>> statistical_process_descriptor : average of N uninitialized
>> analyses
>> statistical_process_duration : instantaneous (beginning at
>> reference time at intervals of 6 hours)
>> N : <ARRAY of 12 elements>
>> average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours
>>
>> Variable: diff_u
>> Type: float
>> Total Size: 23956 bytes
>> 5989 values
>> Number of Dimensions: 2
>> Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]
>> Coordinates:
>> g0_lat_1: [90..25]
>> g0_lon_2: [250..30]
>> Number Of Attributes: 17
>> average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours
>> N : <ARRAY of 12 elements>
>> statistical_process_duration : instantaneous (beginning at
>> reference time at intervals of 6 hours)
>> statistical_process_descriptor : average of N uninitialized
>> analyses
>> forecast_time_units : hours
>> forecast_time : 0
>> level : 0
>> parameter_number : 157
>> parameter_table_version : 200
>> gds_grid_type : 0
>> level_indicator : 200
>> _FillValue : 1e+20
>> units : kg/m/s
>> long_name : DJF: Zonal water vapour flux
>> center : Japanese Meteorological Agency - Tokyo (RSMC)
>> sub_center : 241
>> NMO : 0
>>
>> Variable: diff_v
>> Type: float
>> Total Size: 23956 bytes
>> 5989 values
>> Number of Dimensions: 2
>> Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]
>> Coordinates:
>> g0_lat_1: [90..25]
>> g0_lon_2: [250..30]
>> Number Of Attributes: 17
>> average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours
>> N : <ARRAY of 12 elements>
>> statistical_process_duration : instantaneous (beginning at
>> reference time at intervals of 6 hours)
>> statistical_process_descriptor : average of N uninitialized
>> analyses
>> forecast_time_units : hours
>> forecast_time : 0
>> level : 0
>> parameter_number : 152
>> parameter_table_version : 200
>> gds_grid_type : 0
>> level_indicator : 200
>> _FillValue : 1e+20
>> units : Kg/m/s
>> long_name : DJF: Meridional water vapour flux
>> center : Japanese Meteorological Agency - Tokyo (RSMC)
>> sub_center : 241
>> NMO : 0
>>
>>
>> _______________________________________________
>> ncl-talk mailing list
>> ncl-talk at ucar.edu
>> List instructions, subscriber options, unsubscribe:
>> http://mailman.ucar.edu/mailman/listinfo/ncl-talk
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