Interesting comment Coltan. I can agree with you in some aspects there, computer reliance can be a bit worrisome, however:
-This supposed additional speed will be used to improve forecast accuracy, as accuracy and model resolution are dictated by the speed by which a model run can be completed. Let just remember this faith process you are talking about fails just as often as a forecast model. Anyone who knows anything about weather forecasts can tell you not to consider forecasts past 4 days...its only on the medias request that its 7 days. Accuracy (skill) for current models at days out is something like:
96% 1 day, 87% 2 days, 75% 3 days, 62% 4 days, 49% 5 days etc etc (approximate values from memory). This is why the priority bureau forecast is 4 day, as this is the main region of accuracy thereafter is no better than a heads or tails guess. If you ever wonder why its so difficult to forecast extremely accurately consider this:
Generally the Bureau uses a MesoLAPS equivalent forecast: thats 12.5km gridded resolution over the surface air of the continent, plus and expanded region of LAPS (50km) out to the edge, nested within a GASP outer global system. Just for the forecast over Australia, without taking into account nested capital models (3km res) we have 12.5kmx12.5km=156.25km^2 grid squares: so over a surface area of 7741220 square kilometers we have 49544 data columns roughly speaking. Now, thats just on one level, MesoLAPS is a 39 level model, so 1932209 data points roughly. For each of those data points (which approximate areas of air which actually compose millions of molecules), we have 12 variables or thereabouts, geopotential, total precip moisture, u and v winds, temperature, dew-point, equiv potential temperature, vertical velocity etc. etc. From this we produce temperature and weather forecasts, and integrals of this gridded data is used to formulate severe weather forecast probabilities (im working on that stuff atm). This is approximating a massive amount of very changeable atmosphere, and running a calculation like this takes time. We also need to remember that numerical approximation used in solving equations of flow at every data point induces errors, depending on how many terms you discard to make the algorithm faster. These add up rapidly when you consider 7 day forecasts and result in the rapid fall of accuracy. Those differences over 12 hours you note are not surprising if you think about that physically being a mass of air thats likely 8-10 thousand kms away over the ocean south of africa....very hard to predict things that far away...its a limitation of meteorlogy.
- I disagree with every storm, every system being different, there is a high degree of similarity in the formative characteristics and enviromental parameters (particularly for thunderstorms and ECLs), and in the end this is what the forecasters rely on. I think better timed sounding would be an improvement though to forecasting for convection. Sometimes real time measurements are very important. However if you ever wondered why convection isnt perfectly resolved, remember any thunderstorm is a billion tonnes or more of moving air, which is still smaller in resolution than the available or models curently in use...hence it becomes very difficult to simulate them exactly...this is the context the bureau person you were talking about. Another statistic I like to talk to lay-people about the difficulties of modelling, remember that the average thunderstorm contains a billion tonnes of air and moisture, at any one time there are roughly 17000 thundestorms over the globe, and at any time thunderstorms probaby cover a maximum of 17% of te globe. Thats alot of moving air particles, and even small parcels, no wonder its so hard to model, even for one time step better lone 6 hour time steps.
-A bit of inside info: The super computers are naught to do with staff cuts, anyone who wants to put the blamely squarely where its due for staff cts should look at the Federal government elected who has taken a razor to the BOM budget (rather than all the other useless gov departments, lot of resentment at CAWCR over this). The bureau has been saving in the budget for quite a time for the new computer system, to update the seriously overburdened computer system. Automated systems seem to be what the government and admin expect for meteorology, regardless of the result.
Happy to talk more about this stuff if you like.