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plot_composite_temp_daily.ncl
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plot_composite_temp_daily.ncl
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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 "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/popRemap.ncl"
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/shea_util.ncl"
load "/projects/sciteam/bbdt/ncl_functions/surfaceWindCorrFactor.ncl"
load "/projects/sciteam/bbdt/ncl_functions/getTrajectoriesGeneric.ncl"
load "/projects/sciteam/bbdt/ncl_functions/mask_tc.ncl"
;************************************************
begin
; we could start by lookinga at global average, then individual basin
; seperate into different TC categories according to maximum wind speed
anom_array= new((/30,51, 20, 20/),"float")
anom_array!0 = "time"
anom_array&time = ispan(0,29,1) ; -1 to 20 days
anom_array!1 = "z_t"
anom_array = 0.
number = anom_array
cutwind=0.0
factor = surfaceWindCorrFactor(-1,-1,"log")
f = addfile("trajectory_file_330-450.nc","r")
traj_data = f->traj_data
printVarSummary(traj_data)
lon = traj_data(:,1,:)
lat = traj_data(:,2,:)
wind = traj_data(:,3,:) * factor
pres = traj_data(:,4,:)/100.
yyyy= traj_data(:,6,:)
mm= traj_data(:,7,:)
dd= traj_data(:,8,:)
hh= traj_data(:,9,:)
doy = day_of_year(toint(yyyy),toint(mm),toint(dd))
YYYYMMDDHH=1000000*toint(yyyy)+10000*toint(mm)+100*toint(dd)+toint(hh)
YYYYDDD = 1000 * toint(yyyy) + doy
delete(f)
ndims = dimsizes(lon)
nstorms = ndims(0)
ntimes = ndims(1)
case = "b.e13.B1850C5CN.ne30_g16.005ax_exact_tcdaily"
fils = systemfunc("ls ~/scratch/archive/"+case+"/ocn/hist/regrid_"+case+".pop.h.nday1.03{5..6}*.nc")
nfils = dimsizes(fils)
print(nfils)
f = addfiles(fils, "r")
ListSetType(f, "cat")
time = f[:]->time
ntime = dimsizes(time)
temp = f[:]->TEMP(:,:,50:130,:)
printVarSummary(temp)
minlat = min(temp&lat)
maxlat = max(temp&lat)
minlon = min(temp&lon)
maxlon = max(temp&lon)
print(minlat)
print(maxlat)
TIME = cd_calendar(time, 0) ; type float
year = toint( TIME(:,0) )
month = toint( TIME(:,1) )
day = toint( TIME(:,2) )
ddd = day_of_year(year, month, day)
yyyyddd = year*1000 + ddd ; needed for input
temp&time = yyyyddd
; temp_clm = clmDayTLLL(temp,yyyyddd)
; printVarSummary(temp_clm)
; fout = addfile(case+".pop.h.temp.dayclm.0330-0359_new.nc","r")
; fout->TEMP = temp_clm
setfileoption("nc","Format","LargeFile")
fc = addfile(case+".pop.h.temp.dayclm.0350-0399_regrid.nc","r")
temp_clm = fc->TEMP
temp_anom = calcDayAnomTLLL(temp, yyyyddd, temp_clm)
temp_anom&time = yyyyddd
printVarSummary(temp_anom)
delete(fils)
delete(f)
delete(temp)
delete(year)
delete(ddd)
delete(month)
delete(day)
;--------------------
;-------------------------------
; now loop through TCs
inds = ind(yyyy(:,0).eq.350) ; find index in trajectory file
indstart = inds(0)
delete(inds)
inds = ind(yyyy(:,0).eq.370) ; find index in trajectory file
indsend = inds(0)
delete(inds)
do ii = indstart,indsend-1
inds = ind(yyyy(ii,:).ne.340.and.hh(ii,:).eq.0.and..not.ismissing(doy(ii,:)).and..not.ismissing(wind(ii,:)))
if (.not.ismissing(inds(0))) then
len = dimsizes(inds)
mlat = lat(ii,inds)
mlon = lon(ii,inds)
mtime = YYYYDDD(ii,inds)
mday = doy(ii,inds) ; day of year
mwind = wind(ii,inds)
do jj = 0, len-1 ; loop through TC days
tlat=mlat(jj)+10 ; including ramping area
blat=mlat(jj)-10
tlon=mlon(jj)+10
blon=mlon(jj)-10
; now find the time in sst anom. To avoid end of year, we use index rather than named dimension
shf_ind = ind(yyyyddd.eq.mtime(jj)) ; daily sst index
if (.not.ismissing(shf_ind).and.(shf_ind+30.le.ntime-1).and.(shf_ind+1.ge.0))
if (tlat.le.maxlat.and.blat.ge.minlat.and.tlon.le.maxlon.and.blon.ge.minlon)
;*****
; now we align the track date and the model output date
shf_ind = shf_ind + 1
;*********
domain=temp_anom({time|yyyyddd(shf_ind):yyyyddd(shf_ind+29)},{z_t|:},{lat|blat:tlat},{lon|blon:tlon})
domain_size = dimsizes(domain)
printVarSummary(domain)
; pre_avg = dim_avg_n_Wrap(domain(0:2,:,:),0) ; -7 to -5 day
anom = domain
if ((domain_size(2).eq.20).and.(domain_size(3).eq.20))
if (.not.all(ismissing(anom)))
number_temp = where(ismissing(anom), 0, 1)
anom = where(ismissing(anom), 0, anom)
anom_array = anom_array + anom
number = number + number_temp
delete(number_temp)
end if
end if
delete(anom)
; delete(pre_avg)
delete(domain)
delete(domain_size)
end if ; end if shf_ind+10 exceeds bound
end if
delete(shf_ind)
end do ; end looping through TC days
delete(mlat)
delete(mlon)
delete(mtime)
delete(mwind)
delete(mday)
end if
delete(inds)
end do ; end loopiong thorugh tc cases
number = where(number.eq.0, 1, number)
anom_array = anom_array/number ;the composite array we need
fout = addfile("./composite_temp_series_tcdaily_4day.350-360_20deg.nc","c")
fout->temp_array = anom_array
fout->number = number
end