https://wiki.cusf.co.uk/index.php?action=history&feed=atom&title=Monte_carlo_landing_preditionMonte carlo landing predition - Revision history2026-05-31T23:35:00ZRevision history for this page on the wikiMediaWiki 1.36.1https://wiki.cusf.co.uk/index.php?title=Monte_carlo_landing_predition&diff=144&oldid=prevEllieClifford: "Add old wiki"2021-04-19T18:57:28Z<p>"Add old wiki"</p>
<p><b>New page</b></p><div>== Monte Carlo Landing Prediction ==<br />
<br />
This page documents some work done on the 'next generation' Monte Carlo landing prediction code hosted at [http://github.com/rjw57/cusf-landing-prediction GitHub].<br />
<br />
== Building ==<br />
<br />
The code may be downloaded using the <code>git</code> tool:<br />
<br />
<pre>$ git clone git://github.com/rjw57/cusf-landing-prediction.git<br />
</pre><br />
After that, the standard <code>make</code> tool can be used.<br />
<br />
<pre>$ make<br />
</pre><br />
=== Requirements ===<br />
<br />
The code as presented requires the GLib2 libraries to be installed because they have good, tested, thread-aware random number generators (amongst other things).<br />
<br />
== Alternate data grabbing ==<br />
<br />
This branch contains a script under the <code>pydap/</code> directory which uses OpeNDAP via [http://pydap.org/ PyDAP] to fetch the data rather than the old GRIB-based system. This has the following advantages:<br />
<br />
* We may directly query the NOAA server for the time ranges each data set covers without downloading the entirety of it.<br />
* We can selectively download portions of the set both temporally as well as in space.<br />
* There are 47 pressure levels rather than the (IIRC) 21 available as GRIB data.<br />
<br />
The script itself outputs a slightly different format than the original GRIB grabber which makes the parser a little easier to implement.</div>EllieClifford