ScottWales

#!/usr/bin/env python
#
# Copyright 2019 Scott Wales
#
# Author: Scott Wales <scott.wales@unimelb.edu.au>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#

ScottWales

ScottWales

import xarray
import dask

def least_sq_correlation(da, test):
    """
    Calculate the least squares correlation against multiple
    locations simultaneously
    
    Args:
        da (xarray.DataArray): Input data field

ScottWales

import xarray
import numpy
from dask.diagnostics import ProgressBar

in_path = '/g/data/w35/saw562/b.e11.B1850C5CN.f19_g16.0850cntl.001.pop.h.RHO.185001-200512.nc'
out_path = '/g/data/w35/saw562/test.nc'

min_lat = -35.5
max_lat = 0.5
min_lon = 18.5

ScottWales

#!/usr/bin/env python

import netCDF4
import glob
import multiprocessing

path = '/g/data/rr3/publications/CMIP5/output1/CSIRO-BOM/ACCESS1-3/rcp85/day/atmos/day/r1i1p1/latest/tas/*.nc'
path = '/g/data/ub4/era5/netcdf/surface/2T/199?/*.nc'

def process(p):

ScottWales

ScottWales

import pyart
import cftime
import multiprocessing
import os
import sys

def grid_radar(infile):
    """
    Given the name of a radar file, create a file
    ``$PBS_JOBFS/gridded.{time}.nc`` containing a gridded representation of

ScottWales

ScottWales

ScottWales

#!/usr/bin/env python
# Copyright 2019 ARC Centre of Excellence for Climate Extremes
# author: Scott Wales <scott.wales@unimelb.edu.au>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#