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decorr.py
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decorr.py
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import numpy as np
import pylab as pl
import matplotlib.cm as cm
from scipy.stats import nanmean
import casco
import trm
import figpref
import anim
import stload
miv = np.ma.masked_invalid
def hrvec(tr):
"""Return a vector with hourly time postions in a jdvec"""
jdvec = np.unique(tr.jd)
dtvec = jdvec -tr.jdmin
hours = np.round((dtvec-np.round(dtvec))*24*1000)/1000
return (jdvec[hours==hours.round()])
####
def tracer_rms(field='salt'):
""" Make a nrmsd vs dt plot"""
cs = casco.GCM()
cs.fatten_landmask()
cs.fatten_landmask()
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 get_field(jd):
field = tr.traj2grid('z',tr.jd==jd)
field[cs.landmask==0]=np.nan
return np.ravel(field)
pl.clf()
lHlist = []
for file in ['tr_salt_0301.npz','tr_temp_0301.npz',
'tr_active_0301.npz']:
tr = load_tr(file)
tr.z[cs.landmask[tr.y.astype(int), tr.x.astype(int)]==0] = np.nan
dtvec = hrvec(tr)-tr.jdmin
msk0 = tr.jd==tr.jdmin
fld0 = np.ravel(cs.get_field(field,tr.jdmin))
lagvec = []
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)
lHlist.append(pl.plot(dtvec*24,np.array(lagvec)*100))
pl.xlabel('Time (hours)')
pl.ylabel('NRMSD (%)')
pl.xlim(0,48)
pl.ylim(0,14)
pl.legend(lHlist,('Salinity','Temperature','Reactive tracer'),
'upper left' )
pl.title('Temporal decorrelation of tracers')
#pl.savefig('figs/nrmsd_tracer.png')
pl.xlim(0,12)
pl.ylim(0,10)
#pl.savefig('figs/nrmsd_tracer_detail.png')
pl.savefig('figs/nrmsd_tracers.png')
###
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)
def eul(tr):
pl.clf()
cs = casco.GCM()
jdmin = tr.jd.min()
dtvec = np.arange(0,1.125,0.125)
def get_salt(jd):
cs.load('temp',jd=jd)
return cs.temp
fld0 = get_salt(jdmin)
def gen_dvec(dt):
fld1 = get_salt(jdmin+dt)
dvec = np.ravel((fld1[0,:,:]-fld0)[0,:,:])
return dvec[~np.isnan(dvec)]
dlist = []
for dt in dtvec:
dlist.append(np.abs(gen_dvec(dt)))
pl.boxplot(dlist,sym='',positions=dtvec*24)
def eultraj(tr):
pl.clf()
dtvec = hrvec(tr)
def get_salt(jd): return tr.traj2grid('z',tr.jd==jd)
fld0 = get_salt(jdmin)
def gen_dvec(dt):
fld1 = get_salt(jdmin+dt)
dvec = np.ravel(fld1-fld0)
return dvec[~np.isnan(dvec)]
dlist = []
for dt in dtvec:
dlist.append(np.abs(gen_dvec(dt)))
pl.boxplot(dlist,sym='',positions=np.round(dtvec*24).astype(np.int))
pl.xlabel('Time (Hours)')
pl.ylabel('Difference in Salinity')
pl.ylim(0,0.6)
pl.xlim(0,24)
pl.savefig('figs/boxplot_salt.png')
def patch(tr):
figpref.current()
pl.figure(1)
sH0,_ = tr.scatter(jd=732371.125+0,s=3,c='g',clf=False)
sH1,_ = tr.scatter(jd=732371.125+1,s=3,c='r',clf=False)
sH2,_ = tr.scatter(jd=732371.125+2,s=3,c='b',clf=False)
pl.legend((sH0,sH1,sH2),('0 Hours','24 Hours','48 Hours') )
pl.savefig('figs/patch_days.png')
def trajs(tr):
pl.clf()
jdmin = tr.jd.min()
hmask = (tr.jd-np.floor(tr.jd))*24 == np.floor((tr.jd-np.floor(tr.jd))*24)
dmask = (tr.jd-np.floor(tr.jd)) == np.floor((tr.jd-np.floor(tr.jd)))
tr.scatter(jd=jdmin, s=5, c='g',clf=False)
nvec = [1, 20, 40, 220,240,260,400,420,440]
cvec = ['k','b','r','g','c','y','m','b','r']
nvec = [1, 20, 40, 220,400]
cvec = ['k','b','r','g','m']
for n,c in zip(nvec,cvec):
tr.scatter(ntrac=n, mask=dmask, s=30, c=c,clf=False)
pl.title ('Positions every 24 hours')
pl.savefig('figs/trajs_days.png')
for n,c in zip(nvec,cvec):
tr.scatter(ntrac=n, mask=hmask, s=10, c=c,clf=False)
pl.title ('Positions every hour')
pl.savefig('figs/trajs_hours.png')
#for dt in np.arange(0.125,1.125,0.125):
# y,x = np.histogram(np.abs(gen_dvec(dt)),250)
# pl.plot(x[:-1],y)
#pl.pcolormesh(cs.llon,cs.llat,miv(cs.salt[0,:,:]),cmap=cm.Paired)
def saltmovie(tr):
mv = anim.Movie()
ints = np.sort(np.unique(tr.ints))
for i in ints[:40]:
pl.pcolormesh(miv(tr.traj2grid('z',tr.jd==i)),cmap=cm.Paired)
pl.clim(28,33)
print i
mv.image()
mv.video(tr.projname+tr.casename+"_salt_mov.mp4")
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
#stload.save(td,'data/degrade_%i' %t)
def degrade_plot(dslist):
dsmat = np.array(dslist)
pl.clf()
lH0 = pl.plot(dsmat[0,:]*0.2)
lH3 = pl.plot(dsmat[3,:]*0.2)
pl.legend( ('Velocity fields every 6 hours',
'Velocity fields every 12 hours') ,'upper left')
pl.xlabel('Time')
pl.xlabel('Time (hours)')
pl.ylabel('Mean distance (km)')
pl.title('Particle positions compared to velocity fields every 3 hours')
pl.savefig('figs/degrade.png')