def degrade():
import subprocess as sp
import os
tr = trm.trm('casco',"decorr")
tr.load(intstart=5859329) # 04-15
pl.clf()
dslist = []
for t in np.arange(1,9):
#proc = sp.Popen(['/Users/bror/git/orm/runtraj', 'degrade', str(t)] )
#proc.wait()
os.system('/Users/bror/git/orm/runtraj degrade '+ str(t))
td = trm.trm('casco',"degrade")
td.load(intstart=5859329) # 04-15
dist = ([nanmean(tr.dist(td,tr.jd==tr.jdmin+h/24,
td.jd==td.jdmin+h/24))
for h in np.arange(48.)])
pl.plot(np.array(dist)*0.2)
dslist.append(np.array(dist))
return dslist
def load_tr(filename):
tr = trm.trm('casco',"full")
trl = stload.load(filename)
tr.ints = trl.ints
tr.ntrac = trl.ntrac
tr.x = trl.x
tr.y = trl.y
tr.z = trl.z
tr.jd = trl.jd
tr.jdmin = tr.jd.min()
return tr
def rms(field='salt'):
""" Make a nrmsd vs dt plot"""
tr = trm.trm('casco',"full")
cs = casco.GCM()
cs.fatten_landmask()
cs.fatten_landmask()
tr.load(intstart=5858969)
#tr.load(intstart=5859217)
tr.z[cs.landmask[tr.y.astype(int), tr.x.astype(int)]==0] = np.nan
dtvec = hrvec(tr)-tr.jdmin
def get_field(jd):
field = tr.traj2grid('z',tr.jd==jd)
field[cs.landmask==0]=np.nan
return np.ravel(field)
msk0 = tr.jd==tr.jdmin
fld0 = np.ravel(cs.get_field(field,tr.jdmin))
fld0 = get_field(tr.jdmin)
lagvec = []
eulvec = []
def eulmsk(diffmat):
eulmsk = cs.landmask*np.nan
eulmsk[diffmat[:,1].astype(np.int),
diffmat[:,0].astype(np.int)] = diffmat[:,3]-diffmat[:,2]
return eulmsk*0+1
for dt in dtvec:
diffmat = tr.lagr_diff('z',msk0,tr.jd==(tr.jdmin+dt))
rmsd,nrmsd = tr.rmsd(diffmat[:,3],diffmat[:,2],False)
lagvec.append(nrmsd)
fld1 = np.ravel(cs.get_field(field,tr.jdmin+dt) * eulmsk(diffmat))
fld1 = get_field(tr.jdmin+dt)
rmsd,nrmsd = tr.rmsd(fld0,fld1,False)
eulvec.append(nrmsd)
pl.clf()
pl.plot(dtvec*24,np.array(lagvec)*100)
pl.plot((dtvec*24)[0:-2:2],(np.array(eulvec)*100)[0:-2:2])
pl.xlabel('Time (hours)')
pl.ylabel('NRMSD (%)')
pl.xlim(0,48)
pl.ylim(0,14)
pl.legend(('Lagrangian frame','Eularian frame'),'upper left')
pl.title('Temporal decorrelation of %s' % field)
pl.savefig('figs/nrmsd_%s.png' % field)
pl.xlim(0,12)
pl.ylim(0,10)
pl.savefig('figs/nrmsd_%s_detail.png' % field)
def eulrms():
pl.clf()
cs = casco.GCM()
tr = trm.trm('casco',"full")
tr.load(intstart=5858969)
dtvec = hrvec(tr)-tr.jdmin
def get_salt(jd): return np.ravel(tr.traj2grid('z',tr.jd==jd))
fld0 = get_salt(tr.jdmin)
rmsvec = []
for dt in dtvec:
fld1 = get_salt(tr.jdmin+dt)
rmsd,nrmsd = tr.rmsd(fld0,fld1)
rmsvec.append(rmsd)
pl.clf()
pl.plot(dtvec*24,np.array(rmsvec)*100,'*-')
pl.xlabel('Time (hours)')
pl.ylabel('NRMSD (%)')
pl.xlim(0,24)
