for day in range(1,eday+1):
for hour in lhour:
frontname = "/media/disk2/out/chart/ASAS/front/%04d%02d/front.ASAS.%04d.%02d.%02d.%02d.saone"%(year,mon,year,mon,day,hour)
a2front = fromfile(frontname,float32).reshape(180,360)
a2frontw = ma.masked_not_equal(a2front, 1).filled(miss)
a2frontc = ma.masked_not_equal(a2front, 2).filled(miss)
#
a2terrw = ctrack_fsub.mk_territory_saone((ma.masked_equal(a2front,1.0).filled(miss)).T, dist_mask*1000., miss, lat_first, dlat, dlon).T
a2terrc = ctrack_fsub.mk_territory_saone((ma.masked_equal(a2front,2.0).filled(miss)).T, dist_mask*1000., miss, lat_first, dlat, dlon).T
a2frontinw = ma.masked_where(a2terrw ==miss, a2frontw).filled(miss)
a2frontinc = ma.masked_where(a2terrc ==miss, a2frontc).filled(miss)
#-----------------------
a2gsmap = gsmap_func.timeave_gsmap_backward_saone(year,mon,day,hour+1,2)
a2gsmap = gsmap_func.gsmap2global_one(a2gsmap, miss)
#-----------------------
a2prw = ma.masked_where(a2front !=1.0 , a2gsmap)
a2prc = ma.masked_where(a2front !=2.0 , a2gsmap)
#
a2prinw = ma.masked_where(a2frontinw ==miss, a2gsmap)
a2princ = ma.masked_where(a2frontinc ==miss, a2gsmap)
#-----------------------
prw = ma.masked_equal( a2prw, miss).filled(0.0).sum()*60*60.
prc = ma.masked_equal( a2prc, miss).filled(0.0).sum()*60*60.
#
prinw = ma.masked_equal( a2prinw, miss).filled(0.0).sum()*60*60.
princ = ma.masked_equal( a2princ, miss).filled(0.0).sum()*60*60.
#
numw = ma.count( ma.masked_equal(a2prw, miss))
#--------------------
for day in range(iday, eday+1):
print prtype, season, year, mon, day
for hour in lhour:
#-- prec name ----
if prtype == "GSMaP":
prname = prdir + "/gsmap_mvk.3rh.%04d%02d%02d.%02d00.v5.222.1.sa.one"%(year, mon, day, hour)
elif prtype == "JRA":
prname = prdir + "/fcst_phy2m.PR.%04d%02d%02d%02d.sa.one"%(year, mon, day, hour)
elif prtype == "GPCP1DD":
prname = prdir + "/gpcp_1dd_v1.2_p1d.%04d%02d%02d.bn"%(year, mon, day)
#-- load prec ----
if prtype == "GSMaP":
a2pr = fromfile(prname, float32).reshape(120, 360)
a2pr = gsmap_func.gsmap2global_one(a2pr, miss_out)
elif prtype == "JRA":
a2pr = fromfile(prname, float32).reshape(ny, nx)
elif prtype == "GPCP1DD":
a2pr = flipud(fromfile(prname, float32).reshape(ny, nx))
a2pr = ma.masked_equal(a2pr, miss_gpcp).filled(0.0)
#*****************************
# load corresponding tags
#-----------------------------
lhtag_inc = ret_lhtag_inc(timestep, hour)
now = datetime.datetime(year, mon, day, hour)
#------------------
a2tagtmp_tc = a2zero
a2tagtmp_c = a2zero
a2tagtmp_fbc = a2zero
elif vtype == "JRA":
diname["pr"] = didir["pr"] + "/fcst_phy2m.PR.%04d%02d%02d%02d.sa.one"%(year_target, mon_target, day_target, hour_target)
print year, mon, day, hour, target
elif vtype == "GPCP1DD":
diname["pr"] = didir["pr"] + "/gpcp_1dd_v1.1_p1d.%04d%02d%02d.bn"%(year_target, mon_target, day_target)
print year, mon, day, hour, target
elif vtype == "APHRO_MA":
diname["pr"] = didir["pr"] + "/APHRO_MA_025deg_V1101.%04d.%02d.%02d.sa.one"%(year_target, mon_target, day_target)
#-----------------------
if var == "pr":
#-- load -----
if vtype == "GSMaP":
a2invar_temp = fromfile(diname[var], float32).reshape(120, 360)
a2invar_temp = gsmap_func.gsmap2global_one(a2invar_temp, miss_out)
elif vtype == "JRA":
a2invar_temp = fromfile(diname[var], float32).reshape(ny_org, nx_org)
elif vtype == "GPCP1DD":
a2invar_temp = flipud(fromfile(diname[var], float32).reshape(ny_org, nx_org))
a2invar_temp = ma.masked_equal(a2invar_temp, miss_gpcp).filled(0.0)
elif vtype == "APHRO_MA":
a2invar_temp = fromfile(diname[var], float32).reshape(70,90)
a2invar_temp = aphro_func.aphro2global_one(a2invar_temp, "MA", miss_out)
#------
da2in[var] = da2in[var] + ma.masked_equal(a2invar_temp, miss_out)
#---------------
da2in[var] = da2in[var] / len(lhour_inc)
if type(da2in[var]) == ma.core.MaskedArray:
da2in[var] = da2in[var].filled(miss_out)
elif prtype == "JRA":
diname["pr"] = didir["pr"] + "/fcst_phy2m.PR.%04d%02d%02d%02d.sa.one"%(year, mon, day, hour)
elif prtype == "GPCP1DD":
diname["pr"] = didir["pr"] + "/gpcp_1dd_v1.1_p1d.%04d%02d%02d.bn"%(year, mon, day)
#---------------
diname["life"] = didir["life"] + "/life.%04d%02d%02d%02d.sa.one"%(year, mon, day, hour)
diname["pgrad"] = didir["pgrad"] + "/pgrad.%04d%02d%02d%02d.sa.one"%(year, mon, day, hour)
#diname["wap"] = didir["wap"] + "/%s_day_%s_%s_%s_%04d%02d%02d00.bn"%(model, expr, ens, year, mon, day)
#--- load ------------
da2in = {}
#-- prec load --
if var == "pr":
if prtype == "GSMaP":
da2in[var] = fromfile(diname[var], float32).reshape(120, 360)
da2in[var] = gsmap_func.gsmap2global_one(da2in[var], miss_out)
elif prtype == "JRA":
da2in[var] = fromfile(diname[var], float32).reshape(ny_org, nx_org)
elif prtype == "GPCP1DD":
da2in[var] = flipud(fromfile(diname[var], float32).reshape(ny_org, nx_org))
#---------------
da2in["pgrad"] = fromfile(diname["pgrad"],float32).reshape(ny_org, nx_org)
#da2in["life"] = fromfile(diname["life"], int32).reshape(ny_org, nx_org)
#--- original --> fine grid ---
a2in_fin = cf.biIntp(a1lat_org, a1lon_org, da2in[var], a1lat_fin, a1lon_fin, miss=miss_out)[0]
#--- cyclone center data -------------
da2in["center"] = ma.masked_less(da2in["pgrad"], 0.0).filled(0.0)
da2in["center"] = ma.masked_greater(da2in["center"], 0.0).filled(1.0)
#-------------------------------------
a2prc = ma.masked_where(a2countc==0.0, fromfile(prc,float32).reshape(180,360))*60*60. a2prw = ma.masked_where(a2countw==0.0, fromfile(prw,float32).reshape(180,360))*60*60. countinc = idir + "/num.maskrad.in.%04dkm.0000km.cold.sa.one"%(rad) countinw = idir + "/num.maskrad.in.%04dkm.0000km.warm.sa.one"%(rad) princ = idir + "/pr.maskrad.in.%04dkm.0000km.cold.sa.one"%(rad) prinw = idir + "/pr.maskrad.in.%04dkm.0000km.warm.sa.one"%(rad) a2countinc = fromfile(countinc,float32).reshape(180,360) a2countinw = fromfile(countinw,float32).reshape(180,360) a2princ = ma.masked_where(a2countinc ==0.0, fromfile(princ,float32).reshape(180,360))*60.*60. a2prinw = ma.masked_where(a2countinw ==0.0, fromfile(prinw,float32).reshape(180,360))*60.*60 frontname1 = "/media/disk2/out/chart/ASAS/front/200404/front.ASAS.2004.04.05.00.saone" frontname2 = "/media/disk2/out/chart/ASAS/front/200404/front.ASAS.2004.04.05.18.saone" a2front1 = fromfile(frontname1,float32).reshape(180,360) a2front2 = fromfile(frontname2,float32).reshape(180,360) #----------------------- a2gsmap1 = gsmap_func.timeave_gsmap_backward_saone(2004,4,5,0+1,2)*60*60. a2gsmap2 = gsmap_func.timeave_gsmap_backward_saone(2004,4,5,18+1,2)*60*60. a2gsmap1 = ma.masked_equal(gsmap_func.gsmap2global_one(a2gsmap1, miss), miss).filled(0.0) a2gsmap2 = ma.masked_equal(gsmap_func.gsmap2global_one(a2gsmap2, miss), miss).filled(0.0) #----------------------- a2prmanw1 = ma.masked_where(a2front1 !=1.0 , a2gsmap1) a2prmanc1 = ma.masked_where(a2front1 !=2.0 , a2gsmap1)
thpgrad = dpgradrange[0][0]
#--- value ------------------
a2v = zeros([ny, nx])
a2num = zeros([ny, nx])
a2one = ones([ny, nx])
#
if vtype == "GSMaP":
lhour_inc = [-3, 0, 3, 6]
for hour_inc in lhour_inc:
(year_t, mon_t, day_t, hour_t) = shifttime(year, mon, day, hour, hour_inc)
print day, year_t, mon_t, day_t, hour_t
vdir_root = "/media/disk2/data/GSMaP/sa.one/3hr/ptot"
vdir = vdir_root + "/%04d%02d"%(year_t, mon_t)
vname = vdir + "/gsmap_mvk.3rh.%04d%02d%02d.%02d00.v5.222.1.sa.one"%(year_t, mon_t, day_t, hour_t)
a2v_t = fromfile(vname, float32).reshape(120, 360)
a2v_t = gsmap_func.gsmap2global_one(a2v_t, -9999.0)
a2num_t = ma.masked_where(a2v_t ==-9999.0, a2one).filled(0.0)
a2num = a2num + a2num_t
a2v = a2v + ma.masked_equal(a2v_t, -9999.0)
#--
#a2v = ma.masked_where(a2num < len(lhour_inc), a2v)/a2num
a2v = a2v / len(lhour_inc)
a2v = a2v*60*60*24.0
a2v = a2v.filled(-9999.0)
a2mask = a2v
if day == 22:
array(a2v,float32).tofile("./temp.sa.one")
array(a2num, float32).tofile("./num.sa.one")
