/
ClimateIndexServer.py
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/
ClimateIndexServer.py
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#!/usr/bin/env python
import glob,os,sys
from numpy import *
from netCDF4 import Dataset as NetCDFFile
from read_table import read_table
class Index:
def getIndex(self, YearStart=None, YearStop=None, Season=None):
if YearStart is None: YearStart = self.YearStart
if YearStop is None: YearStop = self.YearStop
if Season is None:
Year0 = YearStart - self.YearStart
Nyears = YearStop - YearStart+1
return self.index[Year0:Year0+Nyears].flatten()
elif Season == 'DJF':
index = []
YearStart = max(self.YearStart+1,YearStart)
Nyears = YearStop-YearStart+1
Year0 = YearStart-self.YearStart
for Year in range(YearStart,YearStop+1):
l = Year-self.YearStart
index.append( (self.index[l-1,11]\
+self.index[l,0]\
+self.index[l,1])/3.)
return array(index)
elif '_' in Season:
index = []
YearStart = max(self.YearStart+1,YearStart)
Nyears = YearStop-YearStart+1
Year0 = YearStart-self.YearStart
Months = [int(i) for i in Season.split('_')]
for Year in range(YearStart,YearStop+1):
l = Year-self.YearStart
ind = 0.
for m in Months: ind += self.index[l,m-1]
index.append( ind/len(Months) )
return array(index)
class WaveActivityIndex(Index):
def __init__(self):
FileName = '/Users/rca/hadley/eddy_stress/bruce/WaveActivityIndex.txt'
year,index = read_table(FileName)
self.YearStart = int(year[0])
self.YearStop = int(year[-1])
self.index = index
class MasatoWBIndex(Index):
def __init__(self,Cluster=1):
FileName = '/Users/rca/hadley/eddy_stress/bruce/MasatoWBindices.txt'
y = read_table(FileName)
y = array(y).transpose()
year = arange(1958,2002)
self.YearStart = year[0]
self.YearStop = year[-1]
self.index = y[Cluster-1]
class BruceSLPIndex(Index):
def __init__(self, Index='SLPI'):
if Index=='SLPI':
File = open('/Users/rca/obs/BruceSLP/slp_index_DJF_norm.txt')
elif Index =='CPI':
File = open('/Users/rca/obs/BruceSLP/CPI.txt')
print Index
year = []
index = []
while 1:
try:
y,i = File.readline().split()
year.append(int(y))
index.append(float(i))
except:
break
self.YearStart = year[0]
self.YearStop = year[-1]
self.index = array(index)
class MDRIndex(Index):
def __init__(self, Index='Kaplan'):
File = open('/Users/rca/obs/hurricanes/MainDevelRegionSST.txt')
year = []
ind = []
i = ['Blended','HadISST','Kaplan','NOAA'].index(Index) + 1
while 1:
try:
s = File.readline()
year.append(int(float(s.split()[0])))
ind.append(float(s.split()[i]))
print s.split()[i]
except:
break
self.YearStart = year[0]
self.YearStop = year[-1]
self.index = array(ind)
class EnsoIndex(Index):
def __init__(self, Index='N34', Source='obs'):
if Source == 'obs':
File = open('/Users/rca/obs/ENSO/%s' % Index)
(self.YearStart, self.YearStop) =\
[int(i) for i in File.readline().split()[0:2]]
Nyears = self.YearStop-self.YearStart+1
self.index = zeros((Nyears,12))*0.
for l in range(Nyears):
self.index[l,:] =\
array([float(i) for i in File.readline().split()])[1:]
else:
FileName = glob.glob('/Users/rca/obs/AR4/20c3m/atm/mo/ts/%s/%s.*'\
%(Source,Index))[0]
File = NetCDFFile(FileName)
# Figure out which calendar to use
self.calendar = File.variables['time'].calendar
# Figure out year range
TimeUnits = File.variables['time'].units
self.Year0 = int(TimeUnits.split()[2][0:4])
time = File.variables['time'][:]
self.YearStart = self.getDate(time[0])[0]
self.YearStop = self.getDate(time[-1])[0]
Nyears = self.YearStop-self.YearStart+1
self.index = File.variables['ts'][:].reshape((Nyears,12))
class NaoIndex(Index):
def __init__(self, Index='NAO', Source='obs'):
if Source == 'obs':
File = open('/Users/rca/obs/NAO/%s' % Index)
(self.YearStart,self.YearStop) =\
[int(i) for i in File.readline().split()[0:2]]
Nyears = self.YearStop-self.YearStart+1
self.index = zeros((Nyears,12))*0.
for l in range(Nyears):
self.index[l,:] =\
array([float(i) for i in File.readline().split()])[1:13]
class DailyNaoIndex(Index):
def __init__(self, Index='NAO', Source='obs'):
if Source == 'obs':
File = open('/Users/rca/obs/NAO/norm.daily.nao.index.b500101.current.ascii')
(self.YearStart,self.YearStop) =\
[int(i) for i in File.readline().split()[0:2]]
Nyears = self.YearStop-self.YearStart+1
self.index = zeros((Nyears,12))*0.
for l in range(Nyears):
self.index[l,:] =\
array([float(i) for i in File.readline().split()])[1:13]
class PnaIndex(Index):
def __init__(self, Index='PNA', Source='obs'):
if Source == 'obs':
File = open('/Users/rca/obs/PNA/%s' % Index)
(self.YearStart,self.YearStop) =\
[int(i) for i in File.readline().split()[0:2]]
Nyears = self.YearStop-self.YearStart+1
self.index = zeros((Nyears,12))*0.
for l in range(Nyears):
for m in range(12):
self.index[l,m] = float(File.readline().split()[2])
class QboIndex(Index):
def __init__(self, Index='QBO'):
File = open('/Users/rca/obs/QBO/QBO.txt')
(self.YearStart,self.YearStop) =\
[int(i) for i in File.readline().split()[0:2]]
Nyears = self.YearStop-self.YearStart+1
self.index = zeros((Nyears,12))*0.
for l in range(Nyears):
self.index[l,:] = \
array([float(i) for i in File.readline().split()])[1:13]
def computeEnsoIndex():
os.chdir('/Volumes/gordo/AR4/20c3m/atm/mo/ts')
dirs = glob.glob('*')
for dir in dirs:
if 'mri' not in dir: continue
print dir
os.chdir(dir)
for file in glob.glob('*nc'):
if file[0:3] == 'N34': continue
os.system('ncwa -d lon,190.,240. -d lat,-5.,5. -a lat,lon '+\
'%s N34.%s' % (file,file) )
os.chdir('..')
if __name__ == '__main__':
AR4Data = [\
'giss_model_e_r',
'inmcm3_0',
'giss_model_e_h',
'miub_echo_g',
'cccma_cgcm3_1',
'giss_aom',
'ipsl_cm4',
'miroc3_2_medres',
'iap_fgoals1_0_g',
'mri_cgcm2_3_2a',
'cccma_cgcm3_1_t63',
'gfdl_cm2_0',
'cnrm_cm3',
'bcc_cm1',
'gfdl_cm2_1',
'mpi_echam5',
'bccr_bcm2_0',
'csiro_mk3_0',
'miroc3_2_hires',
'ingv_echam4']
# enso = EnsoIndex(Source=AR4Data[4])
# index = enso.getIndex(Season='DJF')
nao = NaoIndex()
index = nao.getIndex(Season='1_2_3')
year = arange(nao.YearStart+1,nao.YearStop+1)
index = index-index.mean()
index = index/index.std()
for l in range(len(year)): print year[l],index[l]