| #!/usr/bin/env bash | |
| # Test VIC output for nans | |
| branch="upstream/develop" | |
| testdir="...path with global file..." | |
| vic_repo="...path to /src/ directory in VIC repo..." | |
| cd $vic_repo | |
| # set number of commits to loop through |
| # mounting remote file systems | |
| # References: | |
| # http://www.larkinweb.co.uk/computing/mounting_file_systems_over_two_ssh_hops.html | |
| # http://www.neverstopbuilding.com/mount-ssh-on-osx | |
| export MOUNTS=$HOME/mounts | |
| mount_remote() { | |
| echo "Trying to mount to: $1" | |
| if [ "$1" == "1hopmachine" ] ; then |
This guide documents how we set up an easy workflow for using the IPython Notebook on our compute cluster managed with Sun Grid Engine (SGE).
Summary: We provide a script to the cluster users that runs qrsh to schedule an ipython notebook job using SSL and password protection.
| { | |
| "metadata": { | |
| "name": "rasm_cpl_plots" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
| #!/usr/local/bin/python | |
| import numpy as np | |
| from netCDF4 import Dataset | |
| ################################################################################## | |
| ## Read netCDF Inputs | |
| ## Read data from input netCDF. | |
| ################################################################################## | |
| def read_netcdf(ncFile,vars = [],coords = False, verbose = False): |
| #!/usr/local/bin/python | |
| import numpy as np | |
| ################################################################################## | |
| ## Find Indicies | |
| ## Given an input lat or lon, the function returns the nearest index location | |
| ################################################################################## | |
| def find_nearest(array,value): | |
| """ Find the index location in (array) with value nearest to (value)""" | |
| idx = (np.abs(array-value)).argmin() |