The adaptive observation is a quite new subject in meteorology : it has a
few dozen years.

This observing approach of the atmosphere is to control and modulate
some components of the systems that collect data in the atmosphere.
The idea is that the information collected by the controlled (or
changed) system is more useful to the numerical weather prediction
systems than a standard observing system.

Thus, the theoretical framework of adaptive observation is the
optimization of systems and data assimilation, in particular.
Quite naturally, the concept of adaptive observation is very close from
the notion of predictability in meteorology.
The adaptive observer is not really a way to control the predictability
which is mainly an intrinsic quality of the fluid.
However, it can help in reducing the effects of low predictability by
optimally constraining the uncertainties in the initial conditions of
the subsequent forecast.

In the articles on this subject, we present a fairly general overview of
adaptive observation and its related concepts, especially in terms of
implementation.
For more details, we invite the well informed reader to read the
scientific references cited at the end of the articles.

Sous-rubriques

• Introduction and main ideas (1 articles)

  
  

• Application to field experiments (11 articles)

  
  

• Numerical tools (1 articles)

  
  

• Data assimilation (3 articles)