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ray-chew committed Mar 18, 2024
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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: 4f40424870496e9f13f2148c368ddb2c
tags: 645f666f9bcd5a90fca523b33c5a78b7
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16 changes: 16 additions & 0 deletions _sources/api.rst.txt
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API
===
.. toctree::

modules/inputs
modules/runs
modules/wrappers
modules/src
modules/vis


.. .. autosummary::
.. :toctree: modules
.. :recursive:
..
.. inputs
7 changes: 7 additions & 0 deletions _sources/changelog.rst.txt
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Change log
==========

.. changelog::
:towncrier: ../../
:towncrier-skip-if-empty:
:changelog_file: ../../CHANGELOG.rst
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CSAM's Home
===========

.. toctree::
:hidden:

self
quick_start
tutorial
api
changelog
refs

.. toctree::
:hidden:
:caption: Links

GitHub repo <https://github.com/ray-chew/spec_appx>



This page documents the codebase for the Constrained Spectral Approximation Method (CSAM). CSAM is a physically sound and robust method for approximating the spectrum of subgrid-scale orography. It operates under the following constraints:

* Utilises a limited number of spectral modes (no more than 100)
* Significantly reduces the complexity of physical terrain by over 500 times
* Maintains the integrity of physical information to a large extent
* Compatible with unstructured geodesic grids
* Inherently scale-aware

This method is primarily used to represent terrain for weather forecasting purposes, but it also shows promise for broader data analysis applications.

Acknowledgment
--------------
This work has been made possible by the generosity of Eric and Wendy Schmidt through the `Schmidt Futures Virtual Earth System Research Institute’s <https://www.schmidtfutures.org/our-work-old/virtual-earth-system-research-institute-vesri/>`_ `DataWave Project <https://datawaveproject.github.io/>`_.

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inputs.lam\_run
===============

.. automodule:: inputs.lam_run



















22 changes: 22 additions & 0 deletions _sources/modules/inputs.rst.txt
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`inputs`
========

.. automodule:: inputs

.. rubric:: Modules

.. toctree::
:maxdepth: 2

inputs.lam_run
inputs.selected_run

.. :toctree:
.. :recursive:
.. inputs.corrections_diagnostics
.. inputs.diagnostics
.. inputs.iter_solve
.. inputs.lam_alaska_pmf_selector
..
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inputs.selected\_run
====================

.. automodule:: inputs.selected_run



















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