sys.path.append("../lib")
import os, csv
import numpy as np
from netCDF4 import Dataset
import readbio
units_clevel = "deg. C change"
units_pfrac = "percent change"
bios = [1, 2, 4, 5, 6, 12, 13, 14]
units = [units_clevel] * 2 + [units_pfrac] + [units_clevel] * 2 + [units_pfrac] * 3
latitudes = readbio.latitudes()
longitudes = readbio.longitudes()
with open("tropics.csv", "w") as fp:
writer = csv.writer(fp)
writer.writerow(["biovar", "baseline", "median"] + ["gcm" + str(ii) for ii in range(1, 18)])
for ii in range(len(bios)):
bio = bios[ii]
print bio
baseline = readbio.baseline(bio)
bioconfig = baseline.get_config()
gcm_grids = readbio.futures(bio, bioconfig)
sumbases = 0
lat = rootgrp.createDimension('lat', readbio.latcount)
lon = rootgrp.createDimension('lon', readbio.loncount)
latitudes = rootgrp.createVariable("latitude","f4",("lat",))
latitudes.units = "degrees North"
longitudes = rootgrp.createVariable("longitude","f4",("lon",))
longitudes.units = "degrees East"
medians = rootgrp.createVariable("change", "f4", ("lat", "lon"))
medians.units = units[ii]
confs = rootgrp.createVariable("confidence", "f4", ("lat", "lon"))
confs.units = "percent"
latitudes[:] = readbio.latitudes()
longitudes[:] = readbio.longitudes()
medians[:, :] = readbio.zeromap()
confs[:, :] = readbio.zeromap()
for rr in range(len(latitudes)):
print rr
for cc in range(len(longitudes)):
values = readbio.values(gcm_grids, latitudes[rr], longitudes[cc])
baseval = baseline.getll_raw(latitudes[rr], longitudes[cc])
if units[ii] == units_clevel:
values = (values - baseval) / 10.0
else:
values = 100.0 * (values / float(baseval) - 1)