Monte carlo landing predition
Monte Carlo Landing Prediction
This page documents some work done on the 'next generation' Monte Carlo landing prediction code hosted at GitHub.
The code may be downloaded using the
$ git clone git://github.com/rjw57/cusf-landing-prediction.git
After that, the standard
make tool can be used.
The code as presented requires the GLib2 libraries to be installed because they have good, tested, thread-aware random number generators (amongst other things).
Alternate data grabbing
This branch contains a script under the
pydap/ directory which uses OpeNDAP via PyDAP to fetch the data rather than the old GRIB-based system. This has the following advantages:
- We may directly query the NOAA server for the time ranges each data set covers without downloading the entirety of it.
- We can selectively download portions of the set both temporally as well as in space.
- There are 47 pressure levels rather than the (IIRC) 21 available as GRIB data.
The script itself outputs a slightly different format than the original GRIB grabber which makes the parser a little easier to implement.