Ejemplo n.º 1
0
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
Ejemplo n.º 2
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)