Craig Arthur

Hi @KayShelton this is a great bit of analysis, and I am personally doing similar for the full Aus basin presently, including comparisons to potential intensity. We'll flag any modifications...

When we changed to `statsmodels`, we had to also change the bandwidth calculation functions that were attached to them. I did do a bit of exploratory analysis, and the bandwith...

Thanks for the detective work @KayShelton With the kernel comparison, can you reproduce for a different cell number? Curious to see if there is any spatial variability to that result.

> I have been following up on the low track densities which are evident in the evaluation simulations for the South Pacific, but potentially more problematic in regions with very...

Function definition for rounding datetime objects ``` def roundTime(dt=None, roundTo=60): "''Round a datetime object to any time lapse in seconds dt : datetime.datetime object, default now. roundTo : Closest number...

Another option is to store the data as a collection of `pandas.DataFrame`s. Then can use `DataFrame.to_csv()` with the `date_format` arg set to "%Y-%d-%m %H:%M:%S"

Hi @shoebansari3555rms can you please provide a copy of the configuration file used for your simulation? If you have run the windfield component of the model, can you also provide...

@KayShelton this is a bane of the region! I've had to fudge workarounds for this issue too, since `cartopy` and the old `basemap` have issues with the dateline. In some...

Updated in 721031e

Needs to have similar exception handling in other db update functions (e.g. for tblTracks and tblHazard). The other option is to add a tblConfig, which holds the configuration data for...