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yumengch · Jan 25, 2024 · a541643 · a541643
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diff --git a/docs/source/index.rst b/docs/source/index.rst
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    You can adapt this file completely to your liking, but it should at least
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-Welcome to pyPDAF's documentation!
-==================================
+pyPDAF - A Python interface to Parallel Data Assimilation Framework
+===================================================================
 .. include:: introduction.rst
 
 .. toctree::

diff --git a/docs/source/introduction.rst b/docs/source/introduction.rst
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-pyPDAF - A Python interface to Parallel Data Assimilation Framework
+pyPDAF
 ======
 
-pyPDAF is a Python interface to the `Parallel Data Assimilation Framwork (PDAF) <http://pdaf.awi.de/trac/wiki>`_ library written in Fortran. The latest pyPDAF supports PDAF-V2.0.
+pyPDAF is a Python interface to the `Parallel Data Assimilation Framwork (PDAF) <http://pdaf.awi.de/trac/wiki>`_ library written in Fortran. The latest pyPDAF supports PDAF-V2.1.
 
-With a variety of packages in Python, it allows a simpler coding style for user-supplied functions, such as I/O of observations and post-processing. It can also benefit many Python-based numerical models with parallel and efficient data assimilation capability.
+With a variety of packages in Python, it allows a simpler coding style for user-supplied functions, such as I/O of observations and post-processing. This is helpful for prototyping data assimilation systems, offline data assimilation systems. It can also benefit many Python-based numerical models, or models that can be interfaced with Python, with parallel and efficient data assimilation capability.
+
+The core DA algorithm is as efficient as Fortran implementation in the interface. The efficiency of the Python-based user supplied functions can be improved if sufficient optimisations are used.