created some equations that, according to him, could predict weather.

These equations were very complex.

Lewis Richardson thought, that if the weather,

the wind followed the physical phenomena,

physics can be applied with mathematics,

so that mathematics can predict physics.

Richarson's theories were accepted, but could not be realized,

because the time it took them to solve a Richardson equation, too complex,

at that time, they were manual calculations.

the phenomenon had already passed, that is, it took a

day or two days in doing the calculations, with which, they had no practical use.

But nevertheless,

this did create the idea that if they developed numerical models,

one really could really predict the weather.

Richardson created what was a first mesh,

which was to divide the observation zones into certain squares.

where they took all sorts of information.

Richardson's equations were to combine this information, pressure,

wind speed, temperature, humidity in those areas and predict,

what was going to happen, how the weather was going to move in the given area.

What happened?

That in the 1960s, computers came.

And the computers with the great capacity of calculation, could solve,

at first in hours then in minutes and finally in seconds.

the Richardson equations, with which the numerical models were born

of prediction, which are now in force in our meteorology.

And we are in the current state of meteorology,

which could be somewhat defined in data, algorithms and computing capacity.

We need data, the more the better, and the more accurate the better,

we need algorithms, we need computer systems.

So that we can combine these data to produce results that are tangible,

that are practical, that are empirical, that they are real.

And we need computing power, we need supercomputers.

And this is what modern meteorology does now.

And this is what we will see in the next lessons,

when Tomás Molina explains the models of prediction.

The more data we have the better,

but the higher the computing capacity, the better.

and above all know how to evaluate those data with an algorithm.

And that is the current state of meteorology at

which has been reached through this process,

since Richardson so far, in the last 40 or 60 years.