Given the sample NAMEII timeseries test file, we've got a mismatch in order here between parsing ```X``` and ```Y``` columns and the data.

The data looks like this:
```
                             ,   Y = 52.47710 Lat-Long,   Y = 51.45000 Lat-Long,
                             ,  X = -1.905600 Lat-Long,  X = -2.583300 Lat-Long,
                             ,              Birmingham,                 Bristol,
                             ,                VOLCANIC,                VOLCANIC,
                             ,            VOLCANIC_ASH,            VOLCANIC_ASH,
                             ,       Air Concentration,       Air Concentration,
                             ,          Boundary layer,          Boundary layer,
                            T,                    g/m3,                    g/m3,
```

... however after parsing the column_headings we end up with this:
```
>>> fname = 'NAMEII_timeseries.txt'
>>> name.load_NAMEII_timeseries(fname)
> /net/home/h05/itwl/projects/git/iris/lib/iris/fileformats/name_loaders.py(613)load_NAMEII_timeseries()
-> lat, lon = _build_lat_lon_for_NAME_timeseries(column_headings)
(Pdb) column_headings['X']
['Y = 52.47710 Lat-Long', 'Y = 51.45000 Lat-Long']
(Pdb) column_headings['Y']
['X = -1.905600 Lat-Long', 'X = -2.583300 Lat-Long']
(Pdb) 
```
We're parsing in ```X``` then ```Y``` order, but the data is in ```Y``` then ```X``` order ... surely this is significant?