franksingleton
Well-Known Member
Reading the Met O announcement at the OP and associated references, it is clear that they are proceeding cautiously and carefully as is only sensible with an operational system that is directed toward safety and public service. In the near future, 2, 3,4 years, some form of hybrid system is likely. Forecasts on the large scale for the next few days or weeks, the UK UM could become ERA5/6 based, possibly using raw data. I have no idea how long it will take to develop a reliable total AI/ML system. I would anticipate significantly longer than for am LLM but really have no idea.
Detailed modelling, generating forecasts on a UKV, or smaller scale, seems much more likely to be a physical model with AI input at the initial data input and output stages. One of the problems with NWP is putting in sensible values for heat transfer processes, ie conduction, convection, radiation, latent heat effects. These are not measurable at present operationally but are derived from a system known as parameterisation, intelligent guesses based on internationally run observing studies. AI/ML could be used to improve those guesses.
Models do provide forecasts at the nominal 10 m height. The lowest level, for computational reasons, is a height where the pressure is 0.998 of the surface pressure. Heights above that are multiples of the surface pressure such as 0,7, 0.5, 0.3 etc. these equate roughly to 700. 500. 300 hPa. Models heights are terrain following. Algorithms are used to derive values at specific heights and locations AI could be derived to generate better, more realistic values.
We live in interesting times meteorology will not stand still and the UK will, no doubt, be a leader as it has been since the 1960s.
Detailed modelling, generating forecasts on a UKV, or smaller scale, seems much more likely to be a physical model with AI input at the initial data input and output stages. One of the problems with NWP is putting in sensible values for heat transfer processes, ie conduction, convection, radiation, latent heat effects. These are not measurable at present operationally but are derived from a system known as parameterisation, intelligent guesses based on internationally run observing studies. AI/ML could be used to improve those guesses.
Models do provide forecasts at the nominal 10 m height. The lowest level, for computational reasons, is a height where the pressure is 0.998 of the surface pressure. Heights above that are multiples of the surface pressure such as 0,7, 0.5, 0.3 etc. these equate roughly to 700. 500. 300 hPa. Models heights are terrain following. Algorithms are used to derive values at specific heights and locations AI could be derived to generate better, more realistic values.
We live in interesting times meteorology will not stand still and the UK will, no doubt, be a leader as it has been since the 1960s.