Template notebook for creation of notebooks that show daily figures from most recent Salish Sea NEMO model real-time (nowcast) run.

This is an interim step toward fully automated web publication of analysis and monitoring figures from nowcast runs.

How to Use This Template¶

Create at MEOPAR/nowcast/ directory tree in your EOAS public_html/ web space:
```
$ mkdir -p $HOME/public_html/MEOPAR/nowcast
```

Copy this notebook into that directory, start IPython Notebook in that directory, and open the copy of this notebook.

Delete all of the cells above Set-up and replace them with a nice Heading 1 title like: Salish Sea NEMO Model Daily Nowcast Figures.

After the day's nowcast run has finished and the results have been downloaded:
- Save a copy of your notebook with a name like 18nov14Figures.ipynb.
- Open that copy and run all of the cells in the notebook to produce the days plots.
- If there have been new functions added to nowcast.figures, add any necessary set-up code to load the results datasets that they require, and add cells to produce their plots.
- When you are happy with the day's notebook, save it and exit IPython Notebook.
- Edit the /home/dlatorne/public_html/MEOPAR/nowcast/index.html file to add a line to the top of the Daily Analysis and Monitoring Figures section like:
```
<li><a href="http://nbviewer.ipython.org/url/www.eoas.ubc.ca/~dlatorne/MEOPAR/nowcast/17nov14Figures.ipynb">17nov18</a></li>
```
  replacing ~dlatorne with your ocean userid, and the date (2 places) with the day's date.

Set-up¶

In [1]:

from __future__ import division

import datetime
from glob import glob
import os

from IPython.core.display import HTML
import netCDF4 as nc

from salishsea_tools.nowcast import figures

%matplotlib inline

In [2]:

def results_dataset(period, grid, results_dir):
    """Return the results dataset for period (e.g. 1h or 1d)
    and grid (e.g. grid_T, grid_U) from results_dir.
    """
    filename_pattern = 'SalishSea_{period}_*_{grid}.nc'
    filepaths = glob(os.path.join(results_dir, filename_pattern.format(period=period, grid=grid)))
    return nc.Dataset(filepaths[0])

In [3]:

run_date = datetime.date.today()
# Results dataset location
results_home = '/data/dlatorne/MEOPAR/SalishSea/nowcast/'
results_dir = os.path.join(results_home, run_date.strftime('%d%b%y').lower())

Load the results datasets:

In [4]:

grid_T_hr = results_dataset('1h', 'grid_T', results_dir)

Display the figures:

In [5]:

HTML('<h2>{:%d%b%y} Figures</h2>'.format(run_date))

Out[5]:

17Nov14 Figures

In [6]:

fig = figures.ssh_PtAtkinson(grid_T_hr)