<div dir="ltr"><div class="gmail_default" style="font-size:small">Mira,</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">In order to generate vectors over a map, you need to call gsn_csm_vector_map, and not gsn_csm_vector map.</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">I think that's the only change you need to make to your script.</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">--Mary</div><div class="gmail_default" style="font-size:small"><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Mon, Mar 6, 2017 at 8:18 PM, MIRA BERDAHL <span dir="ltr"><<a href="mailto:mlosic@scarletmail.rutgers.edu" target="_blank">mlosic@scarletmail.rutgers.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi,<div><div>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. </div><div>Can anyone see what the problem is with my code? I also get the following error:</div><div><div>warning:VectorFieldSetValues: irregular coordinate array vfXArray non-monotonic: defaulting vfXArray</div></div><div>I've copied my code and the variable information below. I've attached the figure I can generate. <br></div><div>Thank you in advance, </div><div>Mira</div><div><br></div><div>******************************<wbr>******************************<wbr>******************</div><div><div><br></div><div>load "$NCARG_ROOT/lib/ncarg/<wbr>nclscripts/csm/gsn_code.ncl" </div><div>load "$NCARG_ROOT/lib/ncarg/<wbr>nclscripts/csm/gsn_csm.ncl" </div><div>load "$NCARG_ROOT/lib/ncarg/<wbr>nclscripts/csm/contributed.<wbr>ncl" </div><div>load "$NCARG_ROOT/lib/ncarg/<wbr>nclscripts/csm/shea_util.ncl" </div><div>;*****************************<wbr>******************* </div><div>begin </div><div>;*****************************<wbr>******************* </div><div>; read in netCDF files</div><div>;*****************************<wbr>******************* </div><div>a = addfile("<a href="http://Uwv.mon.mean.nc" target="_blank">Uwv.mon.mean.nc</a>","r") ; u moisture transport</div><div>b = addfile("<a href="http://Vwv.mon.mean.nc" target="_blank">Vwv.mon.mean.nc</a>","r") ; v moisture transport</div><div><br></div><div>;*****************************<wbr>******************* </div><div>; read in zonal [u] and meridional [v] moisture transport (water vapor)</div><div>;*****************************<wbr>******************* </div><div><br></div><div>u_wv = a->UWV_GDS0_EATM_S123(1:648,:,<wbr>:) </div><div>v_wv = b->VWV_GDS0_EATM_S123(1:648,:,<wbr>:) ; </div><div><br></div><div>lat = a->g0_lat_1</div><div>lon = a->g0_lon_2</div><div><br></div><div>printVarSummary(lat)</div><div>printVarSummary(lon)</div><div><br></div><div>printVarSummary(u_wv)</div><div>printVarSummary(v_wv)</div><div><br></div><div><br></div><div>; Calculate the seasonal averages.</div><div>uwvDJF = month_to_season(u_wv, "DJF")</div><div>vwvDJF = month_to_season(v_wv, "DJF")</div><div><br></div><div><br></div><div>printVarSummary(uwvDJF)</div><div>printVarSummary(vwvDJF)</div><div><br></div><div><br></div><div>; from the matlab script i wrote: findExtremeYrs, i pulled out the extreme years (> or < 1std) that i want to average and plot here.</div><div><br></div><div><br></div><div>;ans = 7 (longitude of IL)</div><div>;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. <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span></div><div>;The years with “extreme west” (low long) position of the Icelandic Low are: 1963, 1964, 1980, 1985, 1987, 1991, 1992, 1996, 2003 and 2006. <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span></div><div><br></div><div><br></div><div>; this data starts at 1958 (this is index 0), so 1963=5, 1973=15 etc.</div><div><br></div><div><br></div><div>uDJF_lon_hi = uwvDJF((/8,10,11,16,25,26,36,<wbr>37,41,47/),:,:)</div><div>uDJF_lon_lo = uwvDJF((/5,6,22,27,29,33,34,<wbr>38,45,48/),:,:)</div><div><br></div><div>vDJF_lon_hi = vwvDJF((/8,10,11,16,25,26,36,<wbr>37,41,47/),:,:)</div><div>vDJF_lon_lo = vwvDJF((/5,6,22,27,29,33,34,<wbr>38,45,48/),:,:)</div><div><br></div><div>uAvgTime_hi = dim_avg_n_Wrap(uDJF_lon_hi,0)</div><div>uAvgTime_lo = dim_avg_n_Wrap(uDJF_lon_lo,0)</div><div><br></div><div>printVarSummary(uAvgTime_hi)</div><div>printVarSummary(uAvgTime_lo)</div><div><br></div><div>vAvgTime_hi = dim_avg_n_Wrap(vDJF_lon_hi,0)</div><div>vAvgTime_lo = dim_avg_n_Wrap(vDJF_lon_lo,0)</div><div><br></div><div>printVarSummary(vAvgTime_hi)</div><div>printVarSummary(vAvgTime_lo)</div><div><br></div><div><br></div><div>; sneaky way to copy metadata over first.</div><div>diff_u = uAvgTime_hi;</div><div>diff_v = vAvgTime_hi;</div><div><br></div><div>diff_u = uAvgTime_lo - uAvgTime_hi</div><div>diff_v = vAvgTime_lo - vAvgTime_hi</div><div><br></div><div>printVarSummary(diff_u)</div><div>printVarSummary(diff_v)</div><div><br></div><div>;*****************************<wbr>******************* </div><div>; create plot </div><div>;*****************************<wbr>******************* </div><div>wks = gsn_open_wks("ps","Panel_lon_<wbr>WV") <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; open a ps file </div><div>gsn_define_colormap(wks,"<wbr>temp1")</div><div><br></div><div>plot = new(3,graphic)<span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; create a plot array</div><div><br></div><div>;---- set common resources for all plots</div><div>res <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>= True</div><div>res@gsnDraw<span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>= False <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; dont draw</div><div>res@gsnFrame<span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>= False<span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; dont advance frame</div><div>res@cnInfoLabelOn<span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>= False<span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; trn off cn info label</div><div>res@gsnAddCyclic = False<span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; has to do with wrapping the lonitude at 0/360</div><div>res@cnFillPalette = "matlab_jet"</div><div><br></div><div>;*****************************<wbr>******************</div><div>; ----wind vector plot</div><div>;*****************************<wbr>******************</div><div>vcres = res</div><div>vcres@vcRefAnnoOrthogonalPosF = -1.0 <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; move ref vector up </div><div>vcres@vcRefMagnitudeF = 10.0 <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; define vector ref mag </div><div>vcres@vcRefLengthF = 0.045 <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; define length of vec ref</div><div>vcres@vcGlyphStyle = "CurlyVector" <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; turn on curly vectors </div><div>vcres@vcMinDistanceF = 0.017 </div><div>vcres@mpFillOn = False <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; turn off gray fill </div><div>vcres@mpOutlineBoundarySets = "National" <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; turn on country boundaries</div><div>;vcres@mpFillBoundarySets = AllBoundaries</div><div>vcres@mpGeophysicalLineColor = "Navy" <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; color of cont. outlines</div><div>vcres@<wbr>mpGeophysicalLineThicknessF = 1.5 <span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; thickness of outlines </div><div>vcres@gsnRightString = ""<span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; turn off thue units string</div><div><br></div><div>plot(0) = gsn_csm_vector(wks,uAvgTime_<wbr>hi,vAvgTime_hi,vcres)</div><div>plot(1) = gsn_csm_vector(wks,uAvgTime_<wbr>lo,vAvgTime_lo,vcres)</div><div>plot(2) = gsn_csm_vector(wks, diff_u, diff_v,vcres)</div><div><br></div><div>;*****************************<wbr>*******************</div><div>; create panel</div><div>;*****************************<wbr>*******************</div><div>resP = False<span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; modify the panel plot</div><div>resP@txString = "lon - water vapor transport"</div><div>gsn_panel(wks,(/plot/),(/3,1/)<wbr>,resP)<span class="m_-1118452362477704329gmail-Apple-tab-span" style="white-space:pre-wrap"> </span>; now draw as one plot;</div><div> </div><div><br></div><div>end </div></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div>******************************<wbr>******************************<wbr>*******************</div><div><div>Variable: lat</div><div>Type: float</div><div>Total Size: 212 bytes</div><div> 53 values</div><div>Number of Dimensions: 1</div><div>Dimensions and sizes: [g0_lat_1 | 53]</div><div>Coordinates: </div><div> g0_lat_1: [90..25]</div><div>Number Of Attributes: 9</div><div> La1 : 90</div><div> Lo1 : 0</div><div> La2 : -90</div><div> Lo2 : -1.25</div><div> Di : 1.25</div><div> Dj : 1.25</div><div> units : degrees_north</div><div> GridType : Cylindrical Equidistant Projection Grid</div><div> long_name : latitude</div><div><br></div><div>Variable: lon</div><div>Type: float</div><div>Total Size: 452 bytes</div><div> 113 values</div><div>Number of Dimensions: 1</div><div>Dimensions and sizes: [g0_lon_2 | 113]</div><div>Coordinates: </div><div> g0_lon_2: [250..30]</div><div>Number Of Attributes: 9</div><div> La1 : 90</div><div> Lo1 : 0</div><div> La2 : -90</div><div> Lo2 : -1.25</div><div> Di : 1.25</div><div> Dj : 1.25</div><div> units : degrees_east</div><div> GridType : Cylindrical Equidistant Projection Grid</div><div> long_name : longitude</div><div><br></div><div>Variable: u_wv</div><div>Type: float</div><div>Total Size: 15523488 bytes</div><div> 3880872 values</div><div>Number of Dimensions: 3</div><div>Dimensions and sizes: [initial_time0_hours | 648] x [g0_lat_1 | 53] x [g0_lon_2 | 113]</div><div>Coordinates: </div><div> initial_time0_hours: [1385736..1858344]</div><div> g0_lat_1: [90..25]</div><div> g0_lon_2: [250..30]</div><div>Number Of Attributes: 15</div><div> N : <ARRAY of 12 elements></div><div> statistical_process_duration : instantaneous (beginning at reference time at intervals of 6 hours)</div><div> statistical_process_descriptor : average of N uninitialized analyses</div><div> forecast_time_units : hours</div><div> forecast_time : 0</div><div> level : 0</div><div> parameter_number : 157</div><div> parameter_table_version : 200</div><div> gds_grid_type : 0</div><div> level_indicator : 200</div><div> _FillValue : 1e+20</div><div> units : kg/m/s</div><div> long_name : Zonal water vapour flux</div><div> center : Japanese Meteorological Agency - Tokyo (RSMC)</div><div> sub_center : 241</div><div><br></div><div>Variable: v_wv</div><div>Type: float</div><div>Total Size: 15523488 bytes</div><div> 3880872 values</div><div>Number of Dimensions: 3</div><div>Dimensions and sizes: [initial_time0_hours | 648] x [g0_lat_1 | 53] x [g0_lon_2 | 113]</div><div>Coordinates: </div><div> initial_time0_hours: [1385736..1858344]</div><div> g0_lat_1: [90..25]</div><div> g0_lon_2: [250..30]</div><div>Number Of Attributes: 15</div><div> N : <ARRAY of 12 elements></div><div> statistical_process_duration : instantaneous (beginning at reference time at intervals of 6 hours)</div><div> statistical_process_descriptor : average of N uninitialized analyses</div><div> forecast_time_units : hours</div><div> forecast_time : 0</div><div> level : 0</div><div> parameter_number : 152</div><div> parameter_table_version : 200</div><div> gds_grid_type : 0</div><div> level_indicator : 200</div><div> _FillValue : 1e+20</div><div> units : Kg/m/s</div><div> long_name : Meridional water vapour flux</div><div> center : Japanese Meteorological Agency - Tokyo (RSMC)</div><div> sub_center : 241</div><div><br></div><div>Variable: uwvDJF</div><div>Type: float</div><div>Total Size: 1293624 bytes</div><div> 323406 values</div><div>Number of Dimensions: 3</div><div>Dimensions and sizes: [initial_time0_hours | 54] x [g0_lat_1 | 53] x [g0_lon_2 | 113]</div><div>Coordinates: </div><div> initial_time0_hours: [1385736..1850328]</div><div> g0_lat_1: [90..25]</div><div> g0_lon_2: [250..30]</div><div>Number Of Attributes: 16</div><div> N : <ARRAY of 12 elements></div><div> statistical_process_duration : instantaneous (beginning at reference time at intervals of 6 hours)</div><div> statistical_process_descriptor : average of N uninitialized analyses</div><div> forecast_time_units : hours</div><div> forecast_time : 0</div><div> level : 0</div><div> parameter_number : 157</div><div> parameter_table_version : 200</div><div> gds_grid_type : 0</div><div> level_indicator : 200</div><div> _FillValue : 1e+20</div><div> units : kg/m/s</div><div> long_name : DJF: Zonal water vapour flux</div><div> center : Japanese Meteorological Agency - Tokyo (RSMC)</div><div> sub_center : 241</div><div> NMO : 0</div><div><br></div><div>Variable: vwvDJF</div><div>Type: float</div><div>Total Size: 1293624 bytes</div><div> 323406 values</div><div>Number of Dimensions: 3</div><div>Dimensions and sizes: [initial_time0_hours | 54] x [g0_lat_1 | 53] x [g0_lon_2 | 113]</div><div>Coordinates: </div><div> initial_time0_hours: [1385736..1850328]</div><div> g0_lat_1: [90..25]</div><div> g0_lon_2: [250..30]</div><div>Number Of Attributes: 16</div><div> N : <ARRAY of 12 elements></div><div> statistical_process_duration : instantaneous (beginning at reference time at intervals of 6 hours)</div><div> statistical_process_descriptor : average of N uninitialized analyses</div><div> forecast_time_units : hours</div><div> forecast_time : 0</div><div> level : 0</div><div> parameter_number : 152</div><div> parameter_table_version : 200</div><div> gds_grid_type : 0</div><div> level_indicator : 200</div><div> _FillValue : 1e+20</div><div> units : Kg/m/s</div><div> long_name : DJF: Meridional water vapour flux</div><div> center : Japanese Meteorological Agency - Tokyo (RSMC)</div><div> sub_center : 241</div><div> NMO : 0</div><div><br></div><div>Variable: uAvgTime_hi</div><div>Type: float</div><div>Total Size: 23956 bytes</div><div> 5989 values</div><div>Number of Dimensions: 2</div><div>Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]</div><div>Coordinates: </div><div> g0_lat_1: [90..25]</div><div> g0_lon_2: [250..30]</div><div>Number Of Attributes: 17</div><div> NMO : 0</div><div> sub_center : 241</div><div> center : Japanese Meteorological Agency - Tokyo (RSMC)</div><div> long_name : DJF: Zonal water vapour flux</div><div> units : kg/m/s</div><div> _FillValue : 1e+20</div><div> level_indicator : 200</div><div> gds_grid_type : 0</div><div> parameter_table_version : 200</div><div> parameter_number : 157</div><div> level : 0</div><div> forecast_time : 0</div><div> forecast_time_units : hours</div><div> statistical_process_descriptor : average of N uninitialized analyses</div><div> statistical_process_duration : instantaneous (beginning at reference time at intervals of 6 hours)</div><div> N : <ARRAY of 12 elements></div><div> average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours</div><div><br></div><div>Variable: uAvgTime_lo</div><div>Type: float</div><div>Total Size: 23956 bytes</div><div> 5989 values</div><div>Number of Dimensions: 2</div><div>Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]</div><div>Coordinates: </div><div> g0_lat_1: [90..25]</div><div> g0_lon_2: [250..30]</div><div>Number Of Attributes: 17</div><div> NMO : 0</div><div> sub_center : 241</div><div> center : Japanese Meteorological Agency - Tokyo (RSMC)</div><div> long_name : DJF: Zonal water vapour flux</div><div> units : kg/m/s</div><div> _FillValue : 1e+20</div><div> level_indicator : 200</div><div> gds_grid_type : 0</div><div> parameter_table_version : 200</div><div> parameter_number : 157</div><div> level : 0</div><div> forecast_time : 0</div><div> forecast_time_units : hours</div><div> statistical_process_descriptor : average of N uninitialized analyses</div><div> statistical_process_duration : instantaneous (beginning at reference time at intervals of 6 hours)</div><div> N : <ARRAY of 12 elements></div><div> average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours</div><div><br></div><div>Variable: vAvgTime_hi</div><div>Type: float</div><div>Total Size: 23956 bytes</div><div> 5989 values</div><div>Number of Dimensions: 2</div><div>Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]</div><div>Coordinates: </div><div> g0_lat_1: [90..25]</div><div> g0_lon_2: [250..30]</div><div>Number Of Attributes: 17</div><div> NMO : 0</div><div> sub_center : 241</div><div> center : Japanese Meteorological Agency - Tokyo (RSMC)</div><div> long_name : DJF: Meridional water vapour flux</div><div> units : Kg/m/s</div><div> _FillValue : 1e+20</div><div> level_indicator : 200</div><div> gds_grid_type : 0</div><div> parameter_table_version : 200</div><div> parameter_number : 152</div><div> level : 0</div><div> forecast_time : 0</div><div> forecast_time_units : hours</div><div> statistical_process_descriptor : average of N uninitialized analyses</div><div> statistical_process_duration : instantaneous (beginning at reference time at intervals of 6 hours)</div><div> N : <ARRAY of 12 elements></div><div> average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours</div><div><br></div><div>Variable: vAvgTime_lo</div><div>Type: float</div><div>Total Size: 23956 bytes</div><div> 5989 values</div><div>Number of Dimensions: 2</div><div>Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]</div><div>Coordinates: </div><div> g0_lat_1: [90..25]</div><div> g0_lon_2: [250..30]</div><div>Number Of Attributes: 17</div><div> NMO : 0</div><div> sub_center : 241</div><div> center : Japanese Meteorological Agency - Tokyo (RSMC)</div><div> long_name : DJF: Meridional water vapour flux</div><div> units : Kg/m/s</div><div> _FillValue : 1e+20</div><div> level_indicator : 200</div><div> gds_grid_type : 0</div><div> parameter_table_version : 200</div><div> parameter_number : 152</div><div> level : 0</div><div> forecast_time : 0</div><div> forecast_time_units : hours</div><div> statistical_process_descriptor : average of N uninitialized analyses</div><div> statistical_process_duration : instantaneous (beginning at reference time at intervals of 6 hours)</div><div> N : <ARRAY of 12 elements></div><div> average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours</div><div><br></div><div>Variable: diff_u</div><div>Type: float</div><div>Total Size: 23956 bytes</div><div> 5989 values</div><div>Number of Dimensions: 2</div><div>Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]</div><div>Coordinates: </div><div> g0_lat_1: [90..25]</div><div> g0_lon_2: [250..30]</div><div>Number Of Attributes: 17</div><div> average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours</div><div> N : <ARRAY of 12 elements></div><div> statistical_process_duration : instantaneous (beginning at reference time at intervals of 6 hours)</div><div> statistical_process_descriptor : average of N uninitialized analyses</div><div> forecast_time_units : hours</div><div> forecast_time : 0</div><div> level : 0</div><div> parameter_number : 157</div><div> parameter_table_version : 200</div><div> gds_grid_type : 0</div><div> level_indicator : 200</div><div> _FillValue : 1e+20</div><div> units : kg/m/s</div><div> long_name : DJF: Zonal water vapour flux</div><div> center : Japanese Meteorological Agency - Tokyo (RSMC)</div><div> sub_center : 241</div><div> NMO : 0</div><div><br></div><div>Variable: diff_v</div><div>Type: float</div><div>Total Size: 23956 bytes</div><div> 5989 values</div><div>Number of Dimensions: 2</div><div>Dimensions and sizes: [g0_lat_1 | 53] x [g0_lon_2 | 113]</div><div>Coordinates: </div><div> g0_lat_1: [90..25]</div><div> g0_lon_2: [250..30]</div><div>Number Of Attributes: 17</div><div> average_op_ncl : dim_avg_n over dimension(s): initial_time0_hours</div><div> N : <ARRAY of 12 elements></div><div> statistical_process_duration : instantaneous (beginning at reference time at intervals of 6 hours)</div><div> statistical_process_descriptor : average of N uninitialized analyses</div><div> forecast_time_units : hours</div><div> forecast_time : 0</div><div> level : 0</div><div> parameter_number : 152</div><div> parameter_table_version : 200</div><div> gds_grid_type : 0</div><div> level_indicator : 200</div><div> _FillValue : 1e+20</div><div> units : Kg/m/s</div><div> long_name : DJF: Meridional water vapour flux</div><div> center : Japanese Meteorological Agency - Tokyo (RSMC)</div><div> sub_center : 241</div><div> NMO : 0</div></div><div><br></div></div></div>
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