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Ahmed Attia
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Replacing old files
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.gitignore

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build
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doc/*.html
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doc/*.info
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doc/*.pdf
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doc/apiref
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doc/usrman
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doc/DATeS_Download
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dist
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__pycache__
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*.pyc
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*.pyo
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.tox
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.DS_Store
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README

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/:::/____/ \:::| /:::/ \:::\ \:::\____\/:::/ \:::\____/:::/__\:::\ \:::\____/::\ \:::\ \:::\____\
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~~ \/____/ \/____/ \/____/
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==================================================================================================================
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DATeS: Data Assimilation Testing Suite
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==================================================================================================================
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DATeS is aimed to be a unified testing suite for data assimilation applications where researchers can collaborate,
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so that it would be much easier to understand and compare different methodologies in different settings.
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____ _ _____ ____
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| _ \ / \|_ _|__/ ___|
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| | | |/ _ \ | |/ _ \___ \
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| |_| / ___ \| | __/___) |
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|____/_/ \_\_|\___|____/
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=============================================================================================
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DATeS: Data Assimilation Testing Suite
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=============================================================================================
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DATeS is aimed to be a unified testing suite for data assimilation applications where
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researchers can collaborate, so that it would be much easier to understand and compare
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different methodologies in different settings.
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The core of DATeS is implemented in Python to enable for Object-Oriented capabilities.
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The main functionalities, such as the models, the data assimilation algorithms, the linear algebra solvers, and
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the time discretization routines are independent of each other, such as to offer maximum flexibility to configure
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data assimilation applications.
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DATeS can interface easily with large third party models written in Fortran or C, & with various external solvers.
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The main functionalities, such as the models, the data assimilation algorithms,
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the linear algebra solvers, and the time discretization routines are independent of
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each other, such as to offer maximum flexibility to configure data assimilation applications.
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DATeS can interface easily with large third party models written in Fortran or C,
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and with various external solvers.
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=============================================================================================
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doc/DATeS_Download/.htaccess

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