def nature201102(arg):
"""Generate SVG for image as per Nature's request.
(expects to find a completed result directory).
"""
# Download GISTEMP global result and copy together with the global
# result on local disk to a GHCN v2 format file, 'nature.v2'
out = open('nature.v2', 'w')
labels=['_ccc-gistemp', 'NASA_GISTEMP', 'cccNASA_diff']
print "fetching data..."
dotabletov2(['result/mixedGLB.Ts.ho2.GHCN.CL.PA.txt',
'http://data.giss.nasa.gov/gistemp/tabledata/GLB.Ts+dSST.txt'], out,
labels=labels[:2])
out.close()
# Compute difference series: ccc-gistemp - GISTEMP:
import gio
from code import giss_data
reader = gio.GHCNV2Reader(path=out.name)
stations = list(reader)
assert 2 == len(stations)
assert stations[0].first_year == stations[1].first_year
difference = giss_data.Series()
difference.set_series(stations[0].first_month,
[p-q for p,q in zip(stations[0].series, stations[1].series)
if p != MISSING and q != MISSING])
difference.uid = labels[2]
w = gio.GHCNV2Writer(file=open(out.name, 'a'))
w.write(difference)
w.close()
print "generating SVG..."
from tool import stationplot
stationplot.main(
("stationplot -o nature.svg --axes=yyr --offset 0,-0.2,0 -c rscale=6000;yscale=300;ytick=0.2;legend=none;buginkscapepdf=1 -s 0.01 -y -d nature.v2 %s %s %s" % tuple(labels)).split())
print "generating PDF..."
# Expects to find "inkscape" on PATH.
# On drj's Mac, add
# "/Applications/Inkscape.app/Contents/Resources/bin" to the PATH
# first.
# See http://inkscape.modevia.com/inkscape-man.html for inkscape
# command line use.
os.system('inkscape --export-pdf=nature.pdf nature.svg')
def compare(path1, path2, out):
# *reader*, *station* and so are each pairs (one element for each
# input file).
reader = [gio.GHCNV2Reader(path=p) for p in [path1, path2]]
station = map(list, reader)
print >> out, "Number of stations: %d :: %d" % tuple(
len(l) for l in station)
uid = [set(s.uid for s in l) for l in station]
d = uid[0] - uid[1]
print >> out, "Stations only in %s (%d)" % (path1, len(d))
note10(out, d)
del d
e = uid[1] - uid[0]
print >> out, "Stations only in %s (%d)" % (path2, len(e))
note10(out, e)
del e
common = uid[0] & uid[1]
stationdict = [dict((st.uid,st) for st in l) for l in station]
note_diff_years(out, common, stationdict, [path1, path2])
note_diff_months(out, common, stationdict, [path1, path2])
def counts(out, dir='.', mask=None):
"""Print to *out* a count for each month of the number of stations
used.
*dir* specifies the name of a directory for the input files
(that are intermediate products of ccc-gistemp);
from this directory the files used are: 'log/step3.log' (to
determine what stations and months are used), and 'work/step2.v2'
(to determine which specific months of those stations have data
present).
*mask* specifies the name of a mask file to be used; only the
cells present in the mask file will be examined for station usage.
"""
# Dictionary that maps from station (12 char identifier) to
# monthset, where *monthset* is a set of the numbers from 0
# (January) to 11 (December).
stationmonths = dict()
log = os.path.join(dir, 'log', 'step3.log')
step2 = os.path.join(dir, 'work', 'step2.v2')
for row in stations_logged(cells=cells_masked(mask), log=log):
stations = json.loads(row[2])
for station,weight,months in stations:
stationmonths[station] = monthset(months) | stationmonths.get(
station, set())
monthcount = {}
for station in gio.GHCNV2Reader(path=step2):
if station.uid not in stationmonths:
continue
for m in stationvalidmonths(station):
monthcount[m] = monthcount.get(m, 0) + 1
v2monthcount(out, monthcount)