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MicroInverse is a Python package for inversion of a transport operator from tracer data.

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:alt: Documentation Status

MicroInverse is a Python package for inversion of a transport operator from tracer data.

It is based on the simple stochastic climate model approximation

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Where **x** is the vector of tracer anomaly timeseries, **B** is the transport operator, and **f** is
the forcing of the system. Assuming that the forcing has a shorter decorrelation timescale than
the tracer we can solve for the transport operator:

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Where tau is the chosen decorrelation timescale which should be larger than the forcing decorrelation timescale,
but smaller than the decorrelation timescale of the tracer.

In practice tau is hard to choose a priori which is why we suggest first inverting your data at multiple values
of tau and combining the results afterwards using MicroInverse.MicroInverse_utils.combine_Taus().

MicroInverse will also relate **B** to velocity, diffusivity, and decay via advection-diffusion-relaxation equation (see `Nummelin et al. (2018)`__ for details)

* Free software: MIT license
* Documentation:




This package is based on work by `Nummelin et al. (2018)`_ and Jeffress and Haine (2014a_, 2014b_)

.. _Nummelin et al. (2018):
.. _2014a:
.. _2014b:

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter:
.. _`audreyr/cookiecutter-pypackage`:


0.1.0 (2018-04-03)

* First release on PyPI.

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Filename, size & hash SHA256 hash help File type Python version Upload date
MicroInverse-0.2.0-py2.py3-none-any.whl (17.6 MB) Copy SHA256 hash SHA256 Wheel py2.py3 Apr 5, 2018
MicroInverse-0.2.0.tar.gz (28.2 kB) Copy SHA256 hash SHA256 Source None Apr 5, 2018

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