MAL20 | Lewis Fry Richardson Medal Lecture by Angelo Vulpiani
Abstract
Tue, 19:00
Lewis Fry Richardson Medal Lecture by Angelo Vulpiani
Convener: François G. Schmitt
Abstract
| Tue, 25 Apr, 19:00–20:00 (CEST)
 
Room F2
Abstract
Tue, 19:00

Session assets

Orals: Tue, 25 Apr | Room F2

19:00–20:00
|
EGU23-2654
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solicited
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Lewis Fry Richardson Medal Lecture
|
On-site presentation
The Role of Theory and  Data in Model Building:  from Richardson to   machine learning 
Angelo Vulpiani

The talk is devoted to a discussion of different  typologies of models:

 I-  Oversimplified models;

 II- Models by analogy;

  III- Large scale models;

IV- Models from data. 

In the class  I  there is the celebrated   Lorenz model; the  Lotka-Volterra  system  is in the class  II, and it is at the origin of biomathematics.

Among the  models in the class III  we have the effective equations used, e.g., in meteorology and engineering,  where only "relevant variables" are taken into account.

In the class  IV we find the most interesting (and difficult) problem:the building  of models just from datawithout a reference theoretical framework.

How to cite: Vulpiani, A.: The Role of Theory and  Data in Model Building:  from Richardson to   machine learning, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-2654, https://doi.org/10.5194/egusphere-egu23-2654, 2023.