ADAO module documentation
================================================================================
-The ADAO module provides **data assimilation** features [#]_ in SALOME context.
-It is based on an extensible generic underlying data assimilation library, and
-on usage on other SALOME modules, namely YACS and EFICAS.
+The ADAO module provides **data assimilation** features in SALOME context. It is
+based on usage on other SALOME modules, namely YACS and EFICAS, and on an
+extensible generic underlying data assimilation library.
Briefly stated, Data Assimilation is a methodological framework to compute the
-optimal estimate of the inaccesible true value of a system state over time. It
+optimal estimate of the inaccessible true value of a system state over time. It
uses information coming from experimental measurements or observations, and from
numerical *a priori* models, including information about their errors. Parts of
the framework are also known as *parameter estimation*, *inverse problems*,
-*bayesian estimation*, *optimal interpolation*, etc.
-
-The documentation of this module is divided in 4 parts, the first one being an
-introduction. The second part describes how to use the module ADAO. The third
-part focuses on advanced usages of the module, how to get more information, or
-how to use it without the graphical user interface (GUI). The last part gives
-examples on ADAO usage.
-
-Users interested in quick use of the module can jump to the last part, but a
-valuable use of the module requires to read and come back regularly the second
-part.
+*bayesian estimation*, *optimal interpolation*, etc. More details can be found
+in the section :ref:`section_theory`.
+
+The documentation of this module is divided in 5 parts, the first one being an
+introduction. The second part briefly introduces data assimilation and concepts.
+The third part describes how to use the module ADAO. The fourth part focuses on
+advanced usages of the module, how to get more information, or how to use it
+without the graphical user interface (GUI). The last part gives examples on ADAO
+usage. Users interested in quick use of the module can jump to the section
+:ref:`section_examples`, but a valuable use of the module requires to read and
+come back regularly the section :ref:`section_using`.
In all this documentation, we use standard notations of data assimilation.
-Vectors are written horizontally or vertically without difference. Matrices are
-written either normally, either with a condensed notation, consisting in the
-use of a "``;``" to separate the rows in a continuous line.
+Moreover, vectors are written horizontally or vertically without difference.
+Matrices are written either normally, either with a condensed notation,
+consisting in the use of a "``;``" to separate the rows in a continuous line.
.. toctree::
:maxdepth: 2
intro
+ theory
using
advanced
examples
* :ref:`genindex`
* :ref:`search`
-
-.. _ECMWF: http://www.ecmwf.int/newsevents/training/rcourse_notes/DATA_ASSIMILATION/ASSIM_CONCEPTS/Assim_concepts.html
-.. _Wikipedia/Data_assimilation: http://en.wikipedia.org/wiki/Data_assimilation
-
-.. [#] If you are not familiar with data assimilation concepts in general, an introductory on-line training course can be found at ECMWF_, along with other materials coming from geosciences applications. See also for example `Wikipedia/Data_assimilation`_. Note that data assimilation is not restricted to meteorology or geosciences, but is widely used in other scientific domains.
