def READ_BBIO_DIURNALCYCLE(DATA_DIR, nx, ny, \
MONTH, DAY, YYYY, HOUR,\
CO2_DIR='CO2_200508//BBIO_DIURNALCYCLE', \
flnmpref='nep', tracer=2,category='CO2-SRCE'):
# 3/4 only 2x25 for now...
ext2d=bp.get_name_ext_2d()
extres=bp.get_res_ext()
DOY=tm.day_of_year(YYYY, MONTH,DAY)
# if (DOY>59 and mod(YYYY,4)==0):
# DOY=DOY+1for ireg in self.regs:
SDOY=r'%3.3d' % DOY
FILENAME = DATA_DIR.strip()+'/'+CO2_DIR+'/'+flnmpref.strip()+'.'+ext2d.strip()+'.'+extres.strip()+"."+SDOY
# print 'read data from ', FILENAME
tau0=tm.get_tau(1985,MONTH,DAY, HOUR)
tau0=tau0/(3600.0)
data, dunit, ios=bp.read_bpch2(FILENAME, category, tracer,tau0, \
nx, ny, 1)
if (ios==0):
data=squeeze(data)
return data,dunit
else:
print('error in read data ', ios)
print(FILENAME)
return None, ""
def READ_BBIO_DAILYAVERAGE(DATA_DIR, nx, ny, \
MONTH, DAY, YYYY, \
CO2_DIR='CO2_200508/BBIO_DAILYAVG', \
flnmpref='/CO2.daily', tracer=3,category='CO2-SRCE'):
# 3/4 only 2x25 for now...
ext2d=bp.get_name_ext_2d()
extres=bp.get_res_ext()
DOY=tm.day_of_year(YYYY, MONTH,DAY)
if (DOY>59 and mod(YYYY,4)>0):
DOY=DOY+1
SDOY=r'%3.3d' % DOY
FILENAME = DATA_DIR.strip()+'/'+CO2_DIR+'/'+flnmpref.strip()+'.'+ext2d.strip()+'.'+extres.strip()+"."+SDOY
# print 'read data from ', FILENAME
tau0=tm.get_tau(2000,MONTH,DAY)
tau0=tau0/(3600.0)
data, dunit, ios=bp.read_bpch2(FILENAME, category, tracer,tau0, \
nx, ny, 1)
if (ios==0):
data=squeeze(data)
return data,dunit
else:
print('error in read data ', ios)
print(FILENAME)
return None, ""
def gen_input_geos(run_step,\
YYYY,\
DOY,\
member_start =1,\
member_end = 40,\
tmpfile="input.geos.temp",\
newfile="input.geos" ,\
temp_path = './temp/',\
run_path='./',\
data_path='./',\
out_path='./Config_files',\
diagn_path='./Diagn_files',\
n_regs = 20,\
n_sous = 2,\
sous_name = ['CH4_TAG_AN','CH4_TAG_NA'],\
temporal_res = 30,\
**keywords \
):
""" create the new input to drive the ensemble run
YYYY: years of the time serier
DOY: doys of the time serier
em_doy: the date need emission
temp_path: the path of input.geos.temp
n_regs: the number of regions
n_sous: the number of emission sources(defualt incloude anthr and nature)
sous_name: the name of emission sources
temporal_res: ensemble run temperal resolution (unit: days)
"""
ntime = size(YYYY)
if ('time_start' in keywords):
ts = keywords['time_start']
syyyy = ts[0:4]
yst = int(syyyy)
dst = ts[4:7]
dst = int(dst)
# mmst=int(smm)
# sdd=ts[6:8]
# ddst=int(sdd)
# dst=tm.day_of_year(yst, mmst, ddst)
else:
yst = YYYY[0]
dst = DOY[0]
# list for start and ending simulation time
tst = tm.doy_to_utc(dst, sec=0, yyyy=yst)
tst = tst.replace('-', '')
tst = tst.replace(':', '')
print(tst)
# if (em_step==None):
# iday0=DOY[0]
# for iday in DOY[1:]:
# if (iday>iday0):
# em_step=iday-iday0
# break
# else:
# iday0=iday
if ('time_end' in keywords):
te = keywords['time_end']
syyyy = te[0:4]
yed = int(syyyy)
smm = te[4:6]
mmst = int(smm)
sdd = te[6:8]
ddst = int(sdd)
ded = tm.day_of_year(yst, mmst, ddst)
else:
yed = YYYY[1] #-1
ded = DOY[1] #-1
# the endtime should be + timestep
# yed, ded=tm.next_doy(yed, ded, em_step)
tend = tm.doy_to_utc(ded, sec=0, yyyy=yed)
tend = tend.replace('-', '')
tend = tend.replace(':', '')
print(tend)
# the number of tracter
# n_regs = gcdf.nregs # divided regions
# n_sous = gcdf.nemis # emission sources
# sous_name = gcdf.eminm
diag_species = ' '
for i_spc in range(n_sous * n_regs + 1):
diag_species = diag_species + str(i_spc + 1) + ' ' * 2
diag_species = diag_species + '513'
enafix = r'ST%3.3d.EN%4.4d-EN%4.4d' % (run_step, member_start, member_end)
temp_res_d = r'%08d' % (temporal_res)
input_file = open(temp_path + tmpfile, 'r')
output_file = open(out_path + newfile, 'w')
ts = input_file.read().split(
'------------------------+------------------------------------------------------'
)
for t in ts:
lines = t.strip('\n').split('\n')
if lines[0] == '%%% SIMULATION MENU %%% :':
for line in lines:
line = line.replace('$RUNPATH', run_path)
line = line.replace('$DATAPATH', data_path)
if (line.split(':')[0].strip(' ') == 'Start YYYYMMDD, hhmmss'):
output_file.write(line.split(':')[0] + ': ' + tst + '\n')
elif (line.split(':')[0].strip(' ') == 'End YYYYMMDD, hhmmss'
):
output_file.write(line.split(':')[0] + ': ' + tend + '\n')
else:
output_file.write(line + '\n')
elif lines[0] == '%%% CH4 MENU %%% :':
output_file.write(lines[0] + '\n')
for line in lines:
if (line.split(':')[0].strip(' ') == 'Use TCCON obs operator?'
):
output_file.write(line + '\n')
if (line.split(':')[0].strip(' ') == 'Use GOSAT obs operator?'
):
output_file.write(line + '\n')
if (line.split(':')[0].strip(' ') == 'Ensemble Temporal Res'):
output_file.write(
line.split(':')[0] + ': ' + str(temp_res_d) + ' ' +
'0' * 6 + '\n')
if (line.split(':')[0].strip(' ') == 'The Number of Regions'):
output_file.write(
line.split(':')[0] + ': ' + str(n_regs) + '\n')
if (line.split(':')[0].strip(' ') == 'The Number of Sources'):
output_file.write(
line.split(':')[0] + ': ' + str(n_sous) + '\n')
if (line.split(':')[0].strip(' ') == 'CH4 Sources Entries --->'
):
output_file.write(line + '\n')
if (len(sous_name) == n_sous):
for i_sous in range(n_sous):
output_file.write('Sources name : ' +
sous_name[i_sous] + '\n')
elif lines[0] == '%%% ADVECTED SPECIES MENU %%%:':
output_file.write(lines[0] + '\n')
output_file.write('Type of simulation : 9' + '\n')
output_file.write('Species Entries ------->: Name' + '\n')
output_file.write('Species name : CH4' + '\n')
for i_sous in range(n_sous):
for i_regs in range(n_regs):
output_file.write('Species name : ' +
sous_name[i_sous] + str(i_regs + 1) +
'\n')
elif 'ND51' in lines[0]:
for line in lines:
if (line.split(':')[0].strip(' ') == 'Tracers to include'):
output_file.write(
line.split(':')[0] + ': ' + diag_species + '\n')
else:
line = line.replace('$DATAPATH', diagn_path + '/ND51')
line = line.replace('STYYY.ENXXXX-ENXXXX', enafix)
output_file.write(line + '\n')
#output_file.write(line+'\n')
else:
for line in lines:
line = line.replace('$DATAPATH', diagn_path)
line = line.replace('STYYY.ENXXXX-ENXXXX', enafix)
output_file.write(line + '\n')
output_file.write(
'------------------------+------------------------------------------------------'
+ '\n')
print('reach the end')
output_file.close()
input_file.close()
# observation related # obs_path=run_path+'/oco_obs/' inv_path = run_path + '/oco_inv/' # inversion directory oco_orbit_path = run_path + '/gosat_orbit/' # OCO orbit oco_ak_path = run_path + '/gosat_ak/' # OCO averaging kernel # for multiple observation view_type = 'new_iss' # ??? view_mode = "glint" # 'glint', 'nadir' or 'n16g16' obs_path = run_path + '/' + view_type + '_obs/' # observation directory def_input_file = run_path + '/input.geos' # GEOS-Chem model input file # starting time for geos chem simulation st_yyyy, st_mm, st_dd = 2009, 1, 1 st_doy = tm.day_of_year(st_yyyy, st_mm, st_dd) # day of year # time resultion in day use_fixed_mod_err = True # ??? temporal_resolution = 32 # temporal resolution for inversions in days # ??? the ending time for geos chem simulation inv_lag_window = 4 # inversion lag window = temporal_resolution*n_inv_window ntime_geos_chem = inv_lag_window # 2*inv_lag_window if used the moving window # the last day of geos-chem simulation is given by ntime * temporal_resolution inv_ntime = inv_lag_window # spatial resolution for land and ocean n_land_lat_div, n_land_lon_div = 3, 3
def gen_prior(self, timestep, ntime, yyyy0, mm0, dd0, hh0=0, mi0=0, sec0=0, \
update_state=True, errset=None, do_debug=False):
"""
construct a prior surface flux used for a time period starting with yyyy0, mm0, dd0
"""
tau0=tm.get_tau(yyyy0, mm0, dd0, hh0, mi0, sec0)
self.ntime=ntime
self.timestep=timestep
self.prior=zeros([self.nreg, self.ntime], float)
self.err=zeros([self.nreg, self.ntime], float)
for itime in range(self.ntime):
tau1=tau0+timestep
self.tau0.append(tau0)
self.tau1.append(tau1)
tau=0.5*(tau0+tau1)
date_new=tm.tai85_to_utc(tau0)
yyyy, mm, dd, hh, mi, sec=tm.utc_to_time_array(date_new)
# print yyyy, mm, dd, hh
doy=tm.day_of_year(yyyy, mm, dd)
self.yyyy.append(yyyy)
self.doy.append(doy)
stt=EMISSCO2(yyyy,mm, dd, hh, do_debug=False)
stv=self.map_to_st(stt)
# for test only
# if (itime in [0, 2, 4,6,8]):
# stv[3]=1.80*stv[3]
# stv[5]=1.80*stv[5]
# stv=1.8*stv
self.prior[:,itime]=stv
if (itime==1 and do_debug):
subplot(3,1,1)
gpl.plot_map(stt, self.lon, self.lat, use_pcolor=1)
subplot(3,1,2)
stt2=self.st_to_map(stv)
gpl.plot_map(stt2, self.lon, self.lat, use_pcolor=1)
subplot(3,1,3)
gpl.plot_map(self.reg_map, self.lon, self.lat, use_pcolor=1)
show()
if (errset==None):
# err_fact=sqrt(365.0*24*3600.0/self.timestep)
err_factor=5.0
self.err[1:,itime]=err_factor*self.def_err[1:]
self.err[0, itime]=self.def_err[0]*stv[0]
# if (itime==0):
# print self.err[:,0]
# print self.prior[:,0]
elif (size(errset)==1):
self.err[:,itime]=errset*stv[:]
else:
self.err[:,itime]=errset[:]
tau0=tau1
self.construct_err_cov()
if (update_state):
self.st=array(self.prior)
def convert_geos_chem_field(yyyy, mm, dd, \
step,\
em_st,\
em_end,\
modtype=5,\
datapath="../enkf_new_2010/enkf_output/" \
):
# read in the GEOS-Chem model data
sdate = r'%4.4d%2.2d%2.2d' % (yyyy, mm, dd)
figdoy = tm.day_of_year(yyyy, mm, dd)
# sdoy=r'%3.3d' % (doy)
sem = r'ST%3.3d.EN%4.4d-EN%4.4d' % (step, em_st, em_end)
full_flnm = datapath + "/" + "ts_satellite" + "." + sem + "." + sdate + ".bpch"
ncflnm = datapath + "/" + "ts_satellite" + "." + sdate + ".nc"
ftraceinfo = datapath + "/" + "tracerinfo" + "." + sem + ".dat"
fdiaginfo = datapath + "/" + "diaginfo" + "." + sem + ".dat"
# print 'Read tracer data from', full_flnm
# print ftraceinfo
# print fdiaginfo
bpch2_ts=brw.bpch2_file_rw(full_flnm, "r", \
do_read=1, ftracerinfo=ftraceinfo,\
fdiaginfo=fdiaginfo)
# print 'tracer number', bpch2_ts.ntracers
# bpch2_ts.print_datainfo()
# get the total co2
# CO2 profile
# extract co2 data set
categorys = None
tracers = None
tranames = ['CO2']
taus = None
data_list = None
data_list, founded = bpch2_ts.get_data(categorys, tracers, taus, tranames)
# print len(data_list)
bpdata = data_list[0]
rlat = bpdata.grid.get_lat()
rlon = bpdata.grid.get_lon()
rz = bpdata.grid.get_z()
all_data = list()
for bpdata in data_list:
all_data.append(bpdata.data)
all_data = npy.array(all_data)
# print npy.shape(all_data)
# print 'save'
co2 = all_data
categorys = None
tracers = None
tranames = ['PSURF']
taus = None
data_list, founded = bpch2_ts.get_data(categorys, tracers, taus, tranames)
for bpdata in data_list:
tn = bpdata.get_attr(['name'])
gpname = tn[0].strip()
gp = bpdata.data
if (gpname == 'PSURF'):
sp = array(gp)
elif (gpname == 'AVGW'):
h2o = array(gp)
h2o = array(co2[0, :, :, :])
h2o[:, :, :] = 1.0e-8
# write to netcdf
return rlon, rlat, rz, co2, h2o, sp
def convert_geos_chem_field(yyyy, mm, dd, \
modtype=5,\
datapath="./enkf_output_g5" \
):
# read in the GEOS-Chem model data
sdate = r'%4.4d%2.2d%2.2d' % (yyyy, mm, dd)
figdoy = tm.day_of_year(yyyy, mm, dd)
# sdoy=r'%3.3d' % (doy)
em_st = 1
em_end = 2
sem = r'EN%4.4d-EN%4.4d' % (em_st, em_end)
full_flnm = datapath + "/" + "ts_satellite" + "." + sem + "." + sdate + ".bpch"
ncflnm = datapath + "/" + "ts_satellite" + "." + sdate + ".nc"
ftraceinfo = datapath + "/" + "tracerinfo" + "." + sem + ".dat"
fdiaginfo = datapath + "/" + "diaginfo" + "." + sem + ".dat"
print 'Read tracer data from', full_flnm
print ftraceinfo
print fdiaginfo
bpch2_ts=brw.bpch2_file_rw(full_flnm, "r", \
do_read=1, ftracerinfo=ftraceinfo,\
fdiaginfo=fdiaginfo)
print 'tracer number', bpch2_ts.ntracers
# bpch2_ts.print_datainfo()
# get the total co2
# CO2 profile
categorys = None
tracers = None
tranames = ['CO2']
taus = None
data_list = None
data_list, founded = bpch2_ts.get_data(categorys, tracers, taus, tranames)
print founded, len(data_list)
# how change tracer number
#
# for example, we choose northern american region 3
# bpdata=data_list[3]
# the 100 ppm backgroundfrom tracer '1'
#
# bpdata2=data_list[1]
# co2=bpdata.data-bpdata2.data
# or simply
# co2=bpdata.data-100.0e-6
# the following is a special case when tracer one is coming from posteriori flux adjustment
bpdata = data_list[0]
bpdata2 = data_list[1]
# co2=bpdata.data+bpdata2.data-100.0e-6
rlat = bpdata.grid.get_lat()
rlon = bpdata.grid.get_lon()
rz = bpdata.grid.get_z()
categorys = None
tracers = None
tranames = ['PSURF', 'AVGW']
taus = None
data_list, founded = bpch2_ts.get_data(categorys, tracers, taus, tranames)
for bpdata in data_list:
tn = bpdata.get_attr(['name'])
gpname = tn[0].strip()
gp = bpdata.data
if (gpname == 'PSURF'):
sp = array(gp)
levels = rz[:]
levels = array(levels)
levels = levels + 1
levels = levels.astype(int)
pres = pm.get_pres_mod_2d(sp, levels, 5, 1)
elif (gpname == 'AVGW'):
h2o = array(gp)
# write to netcdf
return figdoy, rlon, rlat, rz, co2, pres, sp
nusd_data = len(data_list)
for idata in range(0, nusd_data):
bpdata = data_list[idata]
gp_list.append(bpdata.data)
return rlon, rlat, rz, t, sp, gp_list
# add the standard one
if (__name__ == '__main__'):
yyyy = 2006
for mm in range(1, 13):
doy_st = tm.day_of_year(yyyy, mm, 1)
if (mm < 12):
doy_end = tm.day_of_year(yyyy, mm + 1, 1)
doy_end = doy_end - 1
else:
doy_end = tm.day_of_year(yyyy, mm, 31)
doy_end = doy_end
sdate = r'%4.4d%2.2d' % (yyyy, mm)
ndays = doy_end - doy_st + 1
em_st, em_end = 1, 2
datapath = "/home/lfeng/local_disk_2/tag_co2/run4_nep_cp/run_" + str(
yyyy) + "_new/"
def convert_geos_chem_field(yyyy, mm, dd, \
step,\
em_st,\
em_end,\
modtype=5,\
datapath="../enkf_new_2010/enkf_output/" \
):
# read in the GEOS-Chem model data
sdate = r'%4.4d%2.2d%2.2d' % (yyyy, mm, dd)
figdoy = tm.day_of_year(yyyy, mm, dd)
# sdoy=r'%3.3d' % (doy)
sem = r'ST%3.3d.EN%4.4d-EN%4.4d' % (step, em_st, em_end)
full_flnm = datapath + "/" + "ts_satellite" + "." + sem + "." + sdate + ".bpch"
ncflnm = datapath + "/" + "ts_satellite" + "." + sdate + ".nc"
ftraceinfo = datapath + "/" + "tracerinfo" + "." + sem + ".dat"
fdiaginfo = datapath + "/" + "diaginfo" + "." + sem + ".dat"
print 'Read tracer data from', full_flnm
print ftraceinfo
print fdiaginfo
bpch2_ts=brw.bpch2_file_rw(full_flnm, "r", \
do_read=1, ftracerinfo=ftraceinfo,\
fdiaginfo=fdiaginfo)
print 'tracer number', bpch2_ts.ntracers
# bpch2_ts.print_datainfo()
# get the total co2
# CO2 profile
# extract co2 data set
categorys = None
tracers = None
tranames = ['CO2']
taus = None
data_list = None
data_list, founded = bpch2_ts.get_data(categorys, tracers, taus, tranames)
all_data = list()
for bpdata in data_list:
all_data.append(bpdata.data)
all_data = npy.array(all_data)
print npy.shape(all_data)
print 'save'
all_data = 1.0e10 * all_data
all_data = all_data - 100.0e4
all_data = all_data.astype(integer)
fd = gzip.open('test2.bin', 'wb')
fd.write(all_data)
npy.save('test_npy', all_data)
print 'Done 1'
svt.save_array(all_data)
print 'Done 2'
def create_new_input_file(run_step,\
YYYY,\
DOY,\
pbuse,\
pb_start=1,\
member_start=1, \
member_end=12, \
co2flnm='CO2_EMISSION_EN',\
tmpfile="input.geos.temp", \
newfile="input.geos.new" , \
em_step=None, \
em_doy=None,\
em_yyyy=None,\
em_pbuse=None,\
do_bk_run=4,\
data_path=gcdf.data_path,\
run_path=gcdf.run_path,\
**keywords \
):
""" create the new input to drive the ensemble run
YYYY: years of the time serier
DOY: doys of the time serier
em_doy: the date need emission
"""
ntime = size(YYYY)
if ('time_start' in keywords):
ts = keywords['time_start']
syyyy = ts[0:4]
yst = int(syyyy)
dst = ts[4:7]
dst = int(dst)
# mmst=int(smm)
# sdd=ts[6:8]
# ddst=int(sdd)
# dst=tm.day_of_year(yst, mmst, ddst)
else:
yst = YYYY[0]
dst = DOY[0]
tst = tm.doy_to_utc(dst, sec=0, yyyy=yst)
tst = tst.replace('-', '')
tst = tst.replace(':', '')
print(tst)
if (em_step == None):
iday0 = DOY[0]
for iday in DOY[1:]:
if (iday > iday0):
em_step = iday - iday0
break
else:
iday0 = iday
if ('time_end' in keywords):
te = keywords['time_end']
syyyy = te[0:4]
yed = int(syyyy)
smm = te[4:6]
mmst = int(smm)
sdd = te[6:8]
ddst = int(sdd)
ded = tm.day_of_year(yst, mmst, ddst)
else:
yed = YYYY[1] #-1
ded = DOY[1] #-1
# the endtime should be + timestep
# yed, ded=tm.next_doy(yed, ded, em_step)
tend = tm.doy_to_utc(ded, sec=0, yyyy=yed)
tend = tend.replace('-', '')
tend = tend.replace(':', '')
print(tend)
fin = open(tmpfile, "r") # open a temporary input.geos
lines = fin.readlines()
print(len(lines))
fin.close()
fout = open(newfile, "w") # write to new input.geos file
section_start = 0
colwidth = 25
line_count = 0
ntracer = member_end - member_start + 1
# enafix=r'EN%4.4d-EN%4.4d' % (member_start, member_end)
enafix = r'ST%3.3d.EN%4.4d-EN%4.4d' % (run_step, member_start, member_end)
for line in lines:
if ("SIMULATION MENU" in line):
section_start = 1
line_count = 0
fout.write(line)
elif ("TRACER MENU" in line):
section_start = 2
line_count = 0
fout.write(line)
elif ("ND51 MENU" in line):
section_start = 3
line_count = 0
fout.write(line)
elif ("OUTPUT MENU" in line):
section_start = 10
line_count = 0
fout.write(line)
elif ("ENSEMBLE MENU" in line):
section_start = 4
line_count = 0
fout.write(line)
elif ("DIAGNOSTIC MENU" in line):
section_start = 5
line_count = 0
fout.write(line)
elif ("GAMAP MENU" in line):
section_start = 6
line_count = 0
fout.write(line)
elif ("PROD & LOSS MENU" in line):
section_start = 7
line_count = 0
fout.write(line)
elif ("ND50 MENU" in line):
section_start = 8
line_count = 0
fout.write(line)
elif (section_start > 0):
line_count = line_count + 1
line_head = line[0:colwidth]
line_left = line[colwidth:]
if (section_start == 1):
if (line_count == 1):
new_line = line_head + " " + tst + " "
fout.write(new_line + "\n")
elif (line_count == 2):
line_head = line[0:colwidth]
new_line = line_head + " " + tend + " "
fout.write(new_line + "\n")
elif (line_count == 3):
print(line_left)
line_left = line_left.replace('$RUNPATH', run_path)
new_line = line_head + line_left
fout.write(new_line)
elif (line_count == 4):
print(line_left)
line_left = line_left.replace('STYYY.ENXXXX-ENXXXX',
enafix)
new_line = line_head + line_left
fout.write(new_line)
elif (line_count == 6):
line_left = line_left.replace('$DATAPATH', data_path)
line_left = line_left.replace('STYYY.ENXXXX-ENXXXX',
enafix)
new_line = line_head + line_left
fout.write(new_line)
elif (line_count == 13):
line_left = line_left.replace('$RUNPATH', run_path)
new_line = line_head + line_left
fout.write(new_line)
elif (line[0:2] == '--'):
line_count = 0
section_start = 0
fout.write(line)
else:
fout.write(line)
elif (section_start == 2): # tracer menu
if (line_count == 1):
fout.write(line)
elif (line_count == 2):
line_head = line[0:colwidth]
snum = r'%4d' % (ntracer)
new_line = line_head + " " + snum + " " + "\n"
fout.write(new_line)
elif (line_count == 3):
fout.write(line)
elif (line_count == 4):
line_head = line[0:colwidth]
tracer_no = line[colwidth:colwidth + 5]
line_left = line[colwidth + 5:]
tracer_id = 1
tracers = list()
for itracer in range(member_end - member_start + 1):
st1 = r'Tracer #%3.3d ENSEM' % (itracer + member_start)
lst1 = len(st1)
new_head = st1[:] + ' ' * (colwidth - 1 - lst1) + ":"
st1 = r'%5d' % (tracer_id)
lst1 = len(st1)
new_tracer_no = (5 - lst1) * ' ' + st1
new_line = new_head + new_tracer_no + line_left
fout.write(new_line)
tracers.append(tracer_id)
tracer_id = tracer_id + 1
elif (line[0:2] == '--'):
line_count = 0
section_start = 0
fout.write(line)
else:
pass
elif (section_start == 3): # ND51 menu
if (line_count == 1):
fout.write(line)
elif (line_count == 2):
line_left = line_left.replace('$DATAPATH', data_path)
line_left = line_left.replace('STYYY.ENXXXX-ENXXXX',
enafix)
new_line = line_head + line_left
fout.write(new_line)
elif (line_count == 4):
line_left = ""
for itracer in [1, member_end - member_start + 1]:
stracer = r' %d' % (itracer)
line_left = line_left + stracer
line_left = line_left + ' ' + '199' # 196 198 199 200 201 output other information
new_line = line_head + line_left + ' \n'
print(new_line)
# tx=raw_input()
fout.write(new_line)
elif (line[0:2] == '--'):
line_count = 0
section_start = 0
fout.write(line)
else:
fout.write(line)
elif (section_start == 4): #ensemble menu
if (line_count == 1):
st1 = r' %d ' % member_start
new_line = line_head + st1 + ' \n'
fout.write(new_line)
elif (line_count == 2):
st1 = r' %d ' % member_end
new_line = line_head + st1 + ' \n'
fout.write(new_line)
elif (line_count == 3):
st1 = r' %d ' % do_bk_run
new_line = line_head + st1 + ' \n'
fout.write(new_line)
elif (line_count == 4):
st1 = r' %d ' % ntime
new_line = line_head + st1 + ' \n'
fout.write(new_line)
elif (line_count == 5):
st1 = ""
if (em_doy == None):
em_doy = DOY
for doy in em_doy:
sdoy = r'%d' % doy
st1 = st1 + ' ' + sdoy
st1 = st1 + ' '
new_line = line_head + st1 + ' \n'
fout.write(new_line)
elif (line_count == 6):
st1 = ""
if (em_yyyy == None):
for yyyy in YYYY:
syyyy = r'%d' % yyyy
st1 = st1 + ' ' + syyyy
else:
for yyyy in em_yyyy:
syyyy = r'%d' % yyyy
st1 = st1 + ' ' + syyyy
st1 = st1 + ' '
new_line = line_head + st1 + ' \n'
fout.write(new_line)
elif (line_count == 7):
st1 = r' %d ' % pb_start
new_line = line_head + st1 + ' \n'
fout.write(new_line)
elif (line_count == 8):
st1 = ""
if (em_pbuse == None):
for pbuse in pbuse:
spbuse = r'%d' % pbuse
st1 = st1 + ' ' + spbuse
else:
for pbuse in em_pbuse:
spbuse = r'%d' % pbuse
st1 = st1 + ' ' + spbuse
st1 = st1 + ' '
new_line = line_head + st1 + ' \n'
fout.write(new_line)
elif (line_count == 9): # 'flnm'
new_line = line_head + ' ' + co2flnm.strip() + '\n'
fout.write(new_line)
elif (line[0:2] == '--'):
line_count = 0
section_start = 0
fout.write(line)
elif (section_start == 47): #P/L menu
line_head = line[0:colwidth]
tracer_no = line[colwidth:colwidth + 5]
line_left = line[colwidth + 5:]
tracer_id = 1
tracers = list()
if (line_count <= 3):
# print line_count, line
fout.write(line)
elif (line_count == 4):
st1 = r'%d' % (member_end - member_start + 1 + 5)
new_line = line_head + ' ' + st1 + ' \n'
fout.write(new_line)
elif (line_count == 5):
fout.write(line)
for itracer in range(1, member_end - member_start + 1 + 5):
st1 = r'Prod/Loss Family #%d' % (itracer +
member_start)
lst1 = len(st1)
new_head = st1[:] + ' ' * (colwidth - 1 - lst1) + ":"
st1 = r'%5d' % (tracer_id)
lst1 = len(st1)
new_tracer_no = (5 - lst1) * ' ' + st1
line_left = 'PCO: CO%3.3d' % (itracer)
new_line = new_head + ' ' + line_left + '\n'
fout.write(new_line)
elif (line[0:2] == '--'):
line_count = 0
section_start = 0
fout.write(line)
else:
pass
elif (section_start == 5): #diagnostic menu
if (line_count == 1):
line_left = line_left.replace('$DATAPATH', data_path)
line_left = line_left.replace('STYYY.ENXXXX-ENXXXX',
enafix)
new_line = line_head + line_left
fout.write(new_line)
elif (line[0:2] == '--'):
line_count = 0
section_start = 0
fout.write(line)
else:
fout.write(line)
elif (section_start == 6): #gamap menu
if (line_count == 1):
line_left = line_left.replace('$DATAPATH', data_path)
line_left = line_left.replace('STYYY.ENXXXX-ENXXXX',
enafix)
new_line = line_head + line_left
fout.write(new_line)
elif (line_count == 2):
line_left = line_left.replace('$DATAPATH', data_path)
line_left = line_left.replace('STYYY.ENXXXX-ENXXXX',
enafix)
new_line = line_head + line_left
fout.write(new_line)
elif (line[0:2] == '--'):
line_count = 0
section_start = 0
fout.write(line)
else:
fout.write(line)
elif (section_start == 8): # ND50 menu
if (line_count == 1):
fout.write(line)
elif (line_count == 2):
line_left = line_left.replace('$DATAPATH', data_path)
line_left = line_left.replace('STYYY.ENXXXX-ENXXXX',
enafix)
new_line = line_head + line_left
fout.write(new_line)
elif (line_count == 4):
line_left = ""
for itracer in [1, member_end - member_start + 1]:
stracer = r' %d' % (itracer)
line_left = line_left + stracer
line_left = line_left + ' ' + '399' # output other information
new_line = line_head + line_left + ' \n'
fout.write(new_line)
elif (line[0:2] == '--'):
line_count = 0
section_start = 0
fout.write(line)
else:
fout.write(line)
elif (section_start == 10): #output menu
if (line_count == 1):
id_cnt = 0
yyyy_list = list()
mm_list = list()
dd_list = list()
for idoy in DOY:
cyyyy, cmm, cdd = tm.doy_to_time_array(
idoy, YYYY[id_cnt])
yyyy_list.append(cyyyy)
mm_list.append(cmm)
dd_list.append(cdd)
id_cnt = id_cnt + 1
yyyy_list = array(yyyy_list)
mm_list = array(mm_list)
dd_list = array(dd_list)
if ((line_count >= 1) and (line_count < 13)):
line_left = line_left.replace('3', '0')
sel_mm = where(mm_list == line_count)
# print size(sel_mm), sel_mm
if (size(sel_mm) > 0):
if (size(sel_mm) == 1):
sel_mm = [squeeze(sel_mm)]
else:
sel_mm = squeeze(sel_mm)
for isel in sel_mm:
sel_dd = dd_list[isel]
ispace = 0
# skip the line
for ichar in line_left:
if (ichar != ' '):
break
else:
ispace = ispace + 1
sel_dd = sel_dd + ispace
print(line_left)
if (sel_dd >= len(line_left)):
sel_dd = len(line_left) - 1
if (sel_dd == 1):
tline_1 = '3'
else:
tline_1 = line_left[0:sel_dd - 1]
tline_1 = tline_1 + '3'
tline_1 = tline_1 + line_left[sel_dd:]
line_left = tline_1
new_line = line_head + line_left
fout.write(new_line)
elif (line[0:2] == '--'): # the section end line
line_count = 0
section_start = 0
fout.write(line)
else:
fout.write(line)
else:
fout.write(line)
fout.close()
print('reach the end')
