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Feature 2098 gen ens prod doc #2100

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Mar 14, 2022
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Feature 2098 gen ens prod doc #2100

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32a7f1e
Deleted one word, switched to note callout in Sphinx regarding Ensemb…
DanielAdriaansen Mar 14, 2022
92999f0
Adds a commensurate note to Ensemble-Stat docs about the changes for …
DanielAdriaansen Mar 14, 2022
fc3ae1a
Testing hyperlink across chapters.
DanielAdriaansen Mar 14, 2022
5f3dc41
Testing hyperlink across chapters.
DanielAdriaansen Mar 14, 2022
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2 changes: 2 additions & 0 deletions met/docs/Users_Guide/ensemble-stat.rst
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Expand Up @@ -9,6 +9,8 @@ Introduction

The Ensemble-Stat tool may be run to create simple ensemble forecasts (mean, probability, spread, etc) from a set of several forecast model files to be used by the MET statistics tools. If observations are also included, ensemble statistics such as rank histograms, probability integral transform histograms, spread/skill variance, relative position and continuous ranked probability score are produced. Climatological mean and standard deviation data may also be provided, and will be used as a reference forecast in several of the output statistics. Finally, observation error perturbations can be included prior to calculation of statistics. Details about and equations for the statistics produced for ensembles are given in :numref:`Appendix C, Section %s <App_C-ensemble>`.

.. note:: This tool will be changing! The ensemble product generation step provided by Ensemble-Stat is now found within the :ref:`Gen-Ens-Prod Tool<gen-ens-prod>`. The Gen-Ens-Prod tool replaces and extends that functionality. Users are strongly encouraged to migrate ensemble product generation from Ensemble-Stat to Gen-Ens-Prod, as new features will only be added to Gen-Ens-Prod and the existing Ensemble-Stat functionality will be deprecated in a future version.

Scientific and statistical aspects
==================================

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4 changes: 2 additions & 2 deletions met/docs/Users_Guide/gen-ens-prod.rst
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Expand Up @@ -7,9 +7,9 @@ Gen-Ens-Prod Tool
Introduction
============

The Gen-Ens-Prod tool generates simple ensemble products (mean, spread, probability, etc) from gridded ensemble member input files. While it processes model inputs, but it does not compare them to observations or compute statistics. However, the output products can be passed as input to the MET statistics tools for comparison against observations. Climatological mean and standard deviation data may also be provided to define thresholds based on the climatological distribution at each grid point.
The Gen-Ens-Prod tool generates simple ensemble products (mean, spread, probability, etc) from gridded ensemble member input files. While it processes model inputs, it does not compare them to observations or compute statistics. However, the output products can be passed as input to the MET statistics tools for comparison against observations. Climatological mean and standard deviation data may also be provided to define thresholds based on the climatological distribution at each grid point.

Note that this ensemble product generation step was provided by the Ensemble-Stat tool in earlier versions of MET. The Gen-Ens-Prod tool replaces and extends that functionality. Users are strongly encouraged to migrate ensemble product generation from Ensemble-Stat to Gen-Ens-Prod, as new features will only be added to Gen-Ens-Prod and the existing Ensemble-Stat functionality will be deprecated in a future version.
.. note:: This ensemble product generation step was provided by the Ensemble-Stat tool in earlier versions of MET. The Gen-Ens-Prod tool replaces and extends that functionality. Users are strongly encouraged to migrate ensemble product generation from Ensemble-Stat to Gen-Ens-Prod, as new features will only be added to Gen-Ens-Prod and the existing Ensemble-Stat functionality will be deprecated in a future version.

Scientific and statistical aspects
==================================
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