a2pr_all = a2pr_all + a2pr
a2pr_tc = a2pr_tc + a2prtmp_tc
a2pr_c = a2pr_c + a2prtmp_c
a2pr_fbc = a2pr_fbc + a2prtmp_fbc
a2pr_ot = a2pr_ot + a2prtmp_ot
#*****************************
# convert unit to mm/s
#---------------------
if prtype in ["GPCP1DD"]:
coef = 1.0/(60*60*24.0)
else:
coef = 1.0
#--
totaltimes = ctrack_para.ret_totaldays(year,year,mon)*len(lhour)
#
a2pr_all = a2pr_all *coef/ totaltimes
a2pr_tc = a2pr_tc *coef/ totaltimes
a2pr_c = a2pr_c *coef/ totaltimes
a2pr_fbc = a2pr_fbc *coef/ totaltimes
a2pr_ot = a2pr_ot *coef/ totaltimes
#*****************************
#-- save monthly data ---
#-----------------------------
sodir_root = "/media/disk2/out/JRA25/sa.one.%s/6hr/tagpr/ind.c%02dh.tc%02dh.%stc%04d.c%04d.f%04d"%(sresol, thdura_c, thdura_tc, tctype, dist_tc, dist_c, dist_f)
#
sodir = sodir_root + "/%04d%02d"%(year, mon)
ctrack_func.mk_dir(sodir)
#
thwcore = tc_para.ret_thwcore(model)
#
lmon = ctrack_para.ret_lmon(season)
#------------------
a2num = zeros([ny,nx],float32)
for year in lyear:
for mon in lmon:
sidir_root = "/media/disk2/out/JRA25/sa.one.%s/6hr/tc/freq.%02dh.wc%4.2f.sst%02d.wind%02d.vor%.1e"%(model,thdura,thwcore,thsst-273.15,thwind,thrvort)
#sidir_root = "/media/disk2/out/JRA25/sa.one.%s/6hr/tc/freq.%02dh"%(model,thdura)
sidir = sidir_root + "/%04d"%(year)
siname = sidir + "/num.tc.rad%04dkm.%04d.%02d.sa.one"%(countrad,year,mon)
a2num_tmp = fromfile(siname, float32).reshape(ny,nx)
a2num = a2num + a2num_tmp
#-----------------------------------------
totalnum = ctrack_para.ret_totaldays(iyear,eyear,season) * 4.0
a2freq = a2num / totalnum
sodir_root = sidir_root
sodir = sodir_root + "/%04d-%04d.%s"%(iyear,eyear,season)
ctrack_func.mk_dir(sodir)
soname = sodir + "/freq.tc.rad%04dkm.%04d-%04d.%s.sa.one"%(countrad,iyear,eyear,season)
a2freq.tofile(soname)
print soname
#*******************************
# Figure
#-----------
if len(lmon) ==12:
if sum3x3flag == True:
#bnd = [0.01,0.25,0.5,1.0,2.0,4.0]
bnd = [0.1,0.25,0.5,1.0,2.0,4.0]
elif sum3x3flag == False:
figname = figdir + "/3x3.freq.t.front.%s.%s.rad%04dkm.M1_%4.2f_M2_%3.1f.%04d-%04d.%s.png"%(model,ens,countrad,thfmask1t,thfmask2t,iyear,eyear,season)
elif (filterflag == False)&(sum3x3flag==False):
figname = figdir + "/freq.t.front.%s.%s.rad%04dkm.M1_%4.2f_M2_%3.1f.%04d-%04d.%s.png"%(model,ens,countrad,thfmask1t,thfmask2t,iyear,eyear,season)
#-----------
if sum3x3flag == True:
cbarname = figname[:-4] + ".3x3.cbar.png"
elif sum3x3flag == False:
cbarname = figname[:-4] + ".cbar.png"
#----------
stitle = "freq. front.t: %s %s season:%s %04d-%04d"%(model, ens, season,iyear, eyear)
mycm = "Spectral"
datname = oname
a2figdat = fromfile(datname, float32).reshape(ny,nx)
#-------------------------------
#--- unit ----
totaldays = ctrack_para.ret_totaldays(iyear,eyear,season)
a2figdat = ma.masked_equal(a2figdat, miss).filled(0.0) * 100.0
#a2figdat = ma.masked_equal(a2figdat, miss).filled(0.0) * totaldays / len(lyear)
#-- filter --------------
if filterflag == True:
#a2figdat = myfunc_fsub.mk_a2convolution(a2figdat.T, a2filter.T, miss).T
a2figdat = ctrack_fsub.mk_a2radsum_saone(a2figdat.T, filtradkm, miss).T
a2figdat = a2figdat / a2areanum
elif filterflag ==False:
pass
else:
print "check filterflag",filterflag
sys.exit()
#------------------------
#-- per 3.0 degree box --
idir_root = "/media/disk2/data/GSMaP/sa.one/1hr/ptot"
odir_root = "/media/disk2/data/GSMaP/sa.one/1hr/ptot/ptile"
#***********************************************
lhour = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23]
#------ function -------------------------------
def nonzero(a1in):
return (a1in !=0.0)
#**
def nonmiss(a1in):
return (a1in !=miss)
#-----------------------------------------------
for season in lseason:
for nhour in lnhour:
#-----------------------------------------------
tottimes = ctrack_para.ret_totaldays(iyear,eyear,season) * len(lhour)
if ( 1 <=100-percent <10):
ntoprat = 0.1
ntop = ceil(tottimes* ntoprat)
segpercent = round(percent%10.0*10)
elif (0.1 <=100-percent <1):
ntoprat = 0.01
ntop = ceil(tottimes* ntoprat)
segpercent = round(percent%1.0*100)
elif (0.01 <=100-percent <0.1):
ntoprat = 0.001
ntop = ceil(tottimes*ntoprat)
segpercent = round(percent%0.1*1000)
elif (0.001 <=100-percent <0.01):
ntoprat = 0.0001
ntop = ceil(tottimes*ntoprat)
a2frontgrad_tmp = ma.masked_equal(a2frontgrad_tmp, miss).filled(0.0)
a2frontgrade_tmp = ma.masked_equal(a2frontgrade_tmp, miss).filled(0.0)
a2num_tmp = ma.masked_where(a2front !=ftype, ones([ny,nx],float32)).filled(0.0)
da2frontgrad[ftype] = da2frontgrad[ftype] + a2frontgrad_tmp
da2frontgrade[ftype] = da2frontgrade[ftype] + a2frontgrade_tmp
da2num[ftype] = da2num[ftype] + a2num_tmp
#--------------
#*** output data *********
totaltimes = ctrack_para.ret_totaldays(year,year,mon) *4.0
a2gradtheta = a2gradtheta / totaltimes
a2gradthetae = a2gradthetae / totaltimes
for ftype in lftype:
da2frontgrad[ftype] = (ma.masked_where(da2num[ftype]==0.0, da2frontgrad[ftype]) / da2num[ftype] ).filled(miss)
da2frontgrade[ftype] = (ma.masked_where(da2num[ftype]==0.0, da2frontgrade[ftype]) / da2num[ftype] ).filled(miss)
#--------------------
#*** write ****************
odir = "/media/disk2/out/obj.valid/gradtheta/%04d"%(year)
ctrack_func.mk_dir(odir)
thetaname = odir + "/anl_p.plain.gradtheta.%04d.%02d.sa.one"%(year,mon)
thetaename = odir + "/anl_p.plain.gradtheta_e.%04d.%02d.sa.one"%(year,mon)
soname_all = odir + "/freq.all.sa.one"
#
figname_warm = figdir + "/freq.warm.%s.png"%(season)
figname_cold = figdir + "/freq.cold.%s.png"%(season)
figname_occ = figdir + "/freq.occ.%s.png"%(season)
figname_stat = figdir + "/freq.stat.%s.png"%(season)
figname_all = figdir + "/freq.all.%s.png"%(season)
#--- init -------------------
a2warm = zeros([ny,nx], float32)
a2cold = zeros([ny,nx], float32)
a2occ = zeros([ny,nx], float32)
a2stat = zeros([ny,nx], float32)
a2all = zeros([ny,nx], float32)
#----------------------------
totaltimes = ctrack_para.ret_totaldays(iyear, eyear, season)*4.0
print totaltimes
lmon = ctrack_para.ret_lmon(season)
for year in range(iyear, eyear+1):
for mon in lmon:
#--------------------
idir = idir_root + "/%04d/%02d"%(year,mon)
if rad != "":
siname_warm = idir + "/count.rad%04dkm.warm.sa.one"%(rad)
siname_cold = idir + "/count.rad%04dkm.cold.sa.one"%(rad)
siname_occ = idir + "/count.rad%04dkm.occ.sa.one"%(rad)
siname_stat = idir + "/count.rad%04dkm.stat.sa.one"%(rad)
else:
siname_warm = idir + "/count.warm.sa.one"
siname_cold = idir + "/count.cold.sa.one"
siname_occ = idir + "/count.occ.sa.one"
a2tup = fromfile(tupname, float32).reshape(ny, nx)
a2ulow = fromfile(ulowname, float32).reshape(ny, nx)
a2uup = fromfile(uupname, float32).reshape(ny, nx)
a2vlow = fromfile(vlowname, float32).reshape(ny, nx)
a2vup = fromfile(vupname, float32).reshape(ny, nx)
#--------------------------------
#tout = ctrack_fsub.find_tc_saone(\
# a2pgrad.T, a2life.T, a2lastpos.T, a2lastflag.T, a2tlow.T, a2tmid.T, a2tup.T, a2ulow.T, a2uup.T, a2vlow.T, a2vup.T, a2landsea.T\
# , thpgrad, thdura, thlat, thwind, thrvort, initflag, miss)
##
tout = ctrack_fsub.find_tc_saone(\
a2pgrad.T, a2life.T, a2lastpos.T, a2lastflag.T, a2tlow.T, a2tmid.T, a2tup.T, a2ulow.T, a2uup.T, a2vlow.T, a2vup.T, a2sst.T, a2landsea.T\
, thpgrad, thdura, thsst, thwind, thrvort, initflag, miss)
#
a2tcloc = tout[0].T
a2lastflag = tout[1].T
#
a2tcloc = ma.masked_less(a2tcloc, thwcore).filled(miss)
a2tcloc = ma.masked_not_equal(a2tcloc, miss).filled(1.0)
a2tcloc = ma.masked_equal(a2tcloc, miss).filled(0.0)
#
#---------------------------------
a2num = a2num + a2tcloc
#--- num -> freq ----
totalnum = ctrack_para.ret_totaldays(year, year, mon) * len(lhour)
a2freq = a2num / totalnum
#--- write to file --
soname = sodir + "/freq.tc.%02dh.w%3.1f.sst%d.wind%d.vor%.1e.sa.one"%(thdura, thwcore,thsst-273.15, thwind, thrvort)
a2freq.tofile(soname)
print soname
dlon = 1.0
#------------------------
#--- region -----
lregion = ["PNW", "PNE","INN","INS", "PSW","ATN"]
da2regmask = {}
for region in lregion:
lllat, lllon, urlat, urlon = ctrack_para.ret_tcregionlatlon(region)
da2regmask[region] = ctrack_func.mk_region_mask(lllat, urlat, lllon, urlon, nx, ny, lat_first, lon_first, dlat, dlon)
#----------------
dmfreq_bst = {}
dmfreq_obj = {}
#----------------
for year in range(iyear, eyear+1):
for mon in lmon:
totalnum_mon = ctrack_para.ret_totaldays(year,year,mon)*4.0
#***************************
# best track
#---------------------------
idir_bst = "/media/disk2/out/ibtracs/sa.one/%04d/%02d"%(year, mon)
iname_bst = idir_bst + "/freq.ibtracs_all.v03r04.sa.one"
a2freq_bst_mon = fromfile(iname_bst, float32).reshape(ny,nx)
for region in lregion:
a2freq_bst_temp = ma.masked_where(da2regmask[region] !=1.0, a2freq_bst_mon)
dmfreq_bst[region, year, mon] = a2freq_bst_temp.mean()
#****************************
# multi resolition
#----------------------------
for model in lmodel:
#-------------------
#-- dummy -------------------
a2ptot_warm = zeros([ny,nx], float32)
a2ptot_cold = zeros([ny,nx], float32)
a2ptot_occ = zeros([ny,nx], float32)
a2ptot_stat = zeros([ny,nx], float32)
a2ptot_all = zeros([ny,nx], float32)
#**********************************************
# fraction
#----------------------------------------------
for year in range(iyear, eyear+1):
lmon = ctrack_para.ret_lmon(season)
for mon in lmon:
idir = idir_root + "/%04d/%02d"%(year, mon)
itimes_mon = ctrack_para.ret_totaldays(year,year, mon) * 4.0
#-- ptot name --
ptotname_warm = idir + "/rad%04d.warm.sa.one"%(thdist)
ptotname_cold = idir + "/rad%04d.cold.sa.one"%(thdist)
ptotname_occ = idir + "/rad%04d.occ.sa.one"%(thdist)
ptotname_stat = idir + "/rad%04d.stat.sa.one"%(thdist)
ptotname_all = idir + "/rad%04d.all.sa.one"%(thdist)
#-- fig: load ptot ---
a2ptot_warm_temp = fromfile(ptotname_warm, float32).reshape(ny,nx)
a2ptot_cold_temp = fromfile(ptotname_cold, float32).reshape(ny,nx)
a2ptot_occ_temp = fromfile(ptotname_occ, float32).reshape(ny,nx)
a2ptot_stat_temp = fromfile(ptotname_stat, float32).reshape(ny,nx)
a2ptot_all_temp = fromfile(ptotname_all, float32).reshape(ny,nx)
#-- fig: mask -
a2ptot_warm_temp = ma.masked_equal(a2ptot_warm_temp, miss).filled(0.0)
prtype,
iyear,
eyear,
bstflag_tc,
dist_tc / 1000.0,
dist_c / 1000.0,
dist_f / 1000.0,
)
mycm = "jet_r"
# -- load -----
a2figdat = fromfile(sname, float32).reshape(ny, nx)
a2figdat = ma.masked_equal(a2figdat, miss).filled(0.0)
# -- convert unit: mm/sec --> mm/season
nsec = ctrack_para.ret_totaldays(iyear, eyear, season) * 24.0 * 60.0 * 60.0
a2figdat = a2figdat * nsec / nmon
# -- draw ------
ctrack_fig.mk_pict_saone_reg(
a2figdat,
bnd=bnd,
mycm=mycm,
soname=figname,
stitle=stitle,
miss=miss,
a2shade=a2shade,
cbarname=cbarname,
lllat=lllat,
lllon=lllon,
urlat=urlat,
