! jnl file that uses Argo data to make different average temperature maps ! requires input arguments for month, depth range and lat/lon range ! to run the program in ferret, you will need to type the following line with the various values filled in: ! go fer_temp_avg_map month depth_min depth_max lat_min lat_max lon_min lon_max iland station depth_axis con_lev ! If you choose not to give values for the various variables, default ones will be substituted for you. ! If you only want to choose some values, you can, but you cannot skip any values. This means you can ! fill in the first 2 and no others, or if you want to specify the lat/lon ranges, you must fill in values ! for the first 4 variables as well as the lat/lon ranges. ! depth values are entered in the range of 0 - 2000dbar ! time values are entered in the available range starting with Jan, 2004 ! iland 0=hig res, 1=low res go fland ! station 1=overlay stations, all other values disable ! con_lev sets the contour and fill levels of the plot. This is done in the following format: (lo,hi,delta). ! More than one can be chosen: (lo,mid,delta1),(mid,hi,delta2). See the Ferret Users Manual for more information. ! if no values are entered, the default region is 50S to 25N and 130E to 250E with an average over the ! entire depth and Jan 2007 cancel/all data cancel/all var cancel/all sym set window/clear go set_pixel_size 1024 768 set mem/size=150 ! assigning variables to arguments passed in the go command as well as default values let lat_min=`$4%-50%` let lat_max=`$5%25%` let lon_min=`$6%130%` let lon_max=`$7%250%` let depth_min=`$2%1000%` let depth_max=`$3%1000%` let month=`$1%47%` let iland=`$8%1%` let station=`$9%1%` let depth_axis=`$10%0%` set mode interpolate set region/z=`depth_min`:`depth_max`/y=`lat_min`:`lat_max`/x=`lon_min`:`lon_max` define viewport/xlim=.0,.95/ylim=0,1 top PPL DFLTFNT DR ppl conpre @P1@DR ppl axlsze 0.15,.15 ppl axset 1,1,1,1 ppl pen 0,7 ppl pen 1,7 ppl labset .15,.15,.15 use RG_ArgoClim_Full.nc let dyn_t=ARGO_TEMPERATURE_MEAN[d=1]+ARGO_TEMPERATURE_ANOMALY[d=1] let dyn_s=ARGO_SALINITY_MEAN[d=1]+ARGO_SALINITY_ANOMALY[d=1] let dyn_p=z[d=1,g=`dyn_t, return=grid`] use climatological_axes.cdf ! setting map scales properly let beq=if (`lon_min`) eq (`lon_max`) then 1 else 0 if `beq` then let lon_max=`lon_max`+360 endif let blm=if (`lon_min`) gt (`lon_max`) then 1 else 0 if `blm` then let lon_max=`lon_max`+360 endif define symbol xdeg `lon_max-lon_min` define symbol ydeg `lat_max-lat_min` define symbol alasp `($ydeg)/($xdeg)` set win/asp=($alasp):axis if `depth_axis` then ! you want meters instead of db as the depth axis unit ! first need to change to depth from pressure let xo=sin(y[g=`dyn_t, return=grid`]*3.1415926/180) let xxo=xo*xo let bot_line=9.780318*(1.0+(5.2788*10^-3+2.36*10^-5*xxo)*xxo) + 1.092*10^-6*dyn_p let top_line=(((-1.82*10^-15*dyn_p+2.279*10^-10)*dyn_p-2.2512*10^-5)*dyn_p+9.72659)*dyn_p let dep=top_line/bot_line ! then regrid onto original pressure grid spacing let temp=zaxreplace(dyn_t,dep,z[gz=`dyn_p, return=grid`]) elseif ! you want db instead of m as the depth axis unit let temp=dyn_t endif let clim_temp=temp[gt=month_irreg@mod] ! begin mapping process ! only map an average if the two depths/times are different. otherwise, map at that depth/time only ! depth is the same let a=if `depth_max` eq `depth_min` then 1 else 0 if `a` then let temp_map=clim_temp[x=`lon_min`:`lon_max`,y=`lat_min`:`lat_max`,l=`month`,z=`depth_min`] endif !both are different let d= if `depth_max` ne `depth_min` then 1 else 0 if `d` then let mskd=if temp[x=`lon_min`:`lon_max`,y=`lat_min`:`lat_max`,z=`depth_max`] then 1 let temp_map= if mskd[d=RG_ArgoClim_Full.nc,l=`month`] eq 1 then clim_temp[x=`lon_min`:`lon_max`,y=`lat_min`:`lat_max`,l=`month`,z=`depth_min`:`depth_max`@ave] endif let con_lev= $11&"()"|*>"*"& fill/nolab/set/palette=cofi_pot/lev="`con_lev`" temp_map ppl shakey 1,,.08,,5,,,,,, ppl fill ! adding contours con/set_up/nolab/over/lev="`con_lev`" temp_map ppl conset .11,,,,,,,5.7,1.,1 ppl contour/overlay ! now use etopo6 to add bathymetry ! check zonal range to see if using high or low land resoluion let rcheck=`lon_max`-`lon_min` if `rcheck gt 120` then if `iland eq 0` then use etopo12_grid.nc shade/over/nokey/nolab/pal=black/hlim=`lon_min`:`lon_max`/vlim=`lat_min`:`lat_max`/lev=(0,10000,10000) btdata12[y=`lat_min`:`lat_max`,x=`lon_min`:`lon_max`] shade/over/nokey/nolab/palette=lightgreyscale/over/hlim=`lon_min`:`lon_max`/vlim=`lat_min`:`lat_max`/levels=(-1000,0,1000) btdata12[y=`lat_min`:`lat_max`,x=`lon_min`:`lon_max`] shade/over/nokey/nolab/pal=grey/over/hlim=`lon_min`:`lon_max`/vlim=`lat_min`:`lat_max`/lev=(-200,0,200) btdata12[y=`lat_min`:`lat_max`,x=`lon_min`:`lon_max`] endif if `iland eq 1` then use etopo12_grid.nc fill/over/nokey/nolab/palette=black/hlim=`lon_min`:`lon_max`/vlim=`lat_min`:`lat_max`/levels=(0,10000,10000) btdata12[y=`lat_min`:`lat_max`,x=`lon_min`:`lon_max`] endif endif if `rcheck le 120` then if `iland eq 0` then use etopo6_grid.nc fill/over/nokey/nolab/palette=black/hlim=`lon_min`:`lon_max`/vlim=`lat_min`:`lat_max`/levels=(0,10000,10000) btdata[y=`lat_min`:`lat_max`,x=`lon_min`:`lon_max`] fill/over/nokey/nolab/palette=lightgreyscale/over/hlim=`lon_min`:`lon_max`/vlim=`lat_min`:`lat_max`/levels=(-1000,0,1000) btdata[y=`lat_min`:`lat_max`,x=`lon_min`:`lon_max`] fill/over/nokey/nolab/palette=grey/over/hlim=`lon_min`:`lon_max`/vlim=`lat_min`:`lat_max`/levels=(-200,0,200) btdata[y=`lat_min`:`lat_max`,x=`lon_min`:`lon_max`] else use etopo6_grid.nc fill/over/nokey/nolab/palette=black/hlim=`lon_min`:`lon_max`/vlim=`lat_min`:`lat_max`/levels=(0,10000,10000) btdata[y=`lat_min`:`lat_max`,x=`lon_min`:`lon_max`] endif endif if `station eq 1` then go fer_temp_avg_station_loc_overlay endif say Plot is finished say To adjust parameters, use the command line to pass arguments say For this file, the form to pass arguments is say go fer_temp_avg_map month depth_min depth_max lat_min lat_max lon_min lon_max iland station depth_axis con_lev