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starting to work on mean climate
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@@ -31,7 +31,7 @@ GETTING STARTED | |
=============== | ||
Installation requirements and instructions are available on the :ref:`install` page | ||
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An overview for using the package and template scripts are detailed on the :ref:`metrics-overview` page | ||
An overview of the summary statistics available via the package are summarized with interactive Jupyter notebooks in the :ref:`metrics-overview` page | ||
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Some installation support for CMIP participating modeling groups is available: [email protected] | ||
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Observational climatologies | ||
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A database of `observational climatologies <https://github.com/PCMDI/PCMDIobs-cmor-tables/blob/master/catalogue/pcmdiobs2_clims_byVar_catalogue_v20201210.json>`_ is available to users of the PMP. To obtain this, please contact the PMP user group ([email protected]) and you will promptly provided with the database. A subset of this database is available via the demo data made available for the PMP tutorials via a `jupyter notebook demo <https://github.com/PCMDI/pcmdi_metrics/blob/master/doc/jupyter/Demo/Demo_0_download_data.ipynb>`_ or via the version of python included as part of the PMP environment. | ||
A database of `observational climatologies <https://github.com/PCMDI/PCMDIobs-cmor-tables/blob/master/catalogue/pcmdiobs2_clims_byVar_catalogue_v20201210.json>`_ is available to users of the PMP. To obtain this, please contact the PMP user group ([email protected]) and you will be promptly provided with the database. A subset of this database is available via the demo data made available for the PMP tutorials via a `jupyter notebook demo <https://github.com/PCMDI/pcmdi_metrics/blob/master/doc/jupyter/Demo/Demo_0_download_data.ipynb>`_. Once you have downloaded this demo data you can interactively run the mean climate and other demos. | ||
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The `mean climate notebook <https://github.com/PCMDI/pcmdi_metrics/blob/master/doc/jupyter/Demo/Demo_1_mean_climate.ipynb>`_ provides a series of examples that demonstrate the options available. | ||
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Preparation of model climatologies | ||
################################## | ||
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Sample model climatologies are available as part of the PMP demo database noted above and are used for the mean climate notebook. However, if a user wants to create and use their own model climatologies the a simple example is provide in the mean climate notebook itself or the `PMP github repository <https://github.com/PCMDI/pcmdi_metrics/tree/master/sample_setups/pcmdi_parameter_files/mean_climate/make_clims>`_. | ||
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Construction of an input paramater file | ||
####################################### | ||
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The PMP mean climate metrics can be controlled via an input parameter file, the command line, or both. With the command line only it is executed via: :: | ||
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mean_climate_driver.py -p basic_param.py | ||
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or as a combination of an input parameter file and the command line, e.g.: :: | ||
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mean_climate_driver.py -p basic_param.py --vars rlut pr | ||
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where the list of variables to run the analysis on includes the variables 'rlut' (outgoing TOA longwave radiation) and 'pr' (precipitation). | ||
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Because there are a minimum of 5(?) parameters to be set with the mean climate statistics. | ||
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SOME DISCUSSION HERE ON THE MINIMUM SET OF INPUT PARAMETERS. | ||
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In addition to the minimum set of parameters noted above, the following summarizes additional options than can be controlled for the mean climate: | ||
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* Select regridding option | ||
* Define a different set of regions | ||
* Provide or estimate a land-sea mask | ||
* Define regional masking (e.g., land-only or ocean-only) | ||
* Select to output (or not) interpolate climatologies including masking | ||
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.. _using-the-package: | ||
.. _metrics-overview: | ||
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***************** | ||
Documentation and Demos | ||
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