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Per #2741, updating formatting and wording
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jprestop committed Nov 11, 2024
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# | * Community Land Model (CLM) file
# | * Community Atmosphere Model (CAM) file
#
# **Observations:** Raw FLUXNET2015 observations
# **Observation:** Raw FLUXNET2015 observations
#
# **Climatology:** None
#
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# set the value of INPUT_BASE. See :ref:`running-metplus` section for more information.
#
# **Data Source:** CESM - NSF NCAR Climate & Global Dynamics (CGD); FLUXNET2015 "SUBSET" Data Product: https://fluxnet.org/data/fluxnet2015-dataset/subset-data-product/
#
#
#
# Python Dependencies
#
#
# This use case requires the following Python dependencies::
#
# * Xarray
# * Pandas
# * METcalcpy 3.0.0+

##############################################################################
# METplus Components
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# not supported by METplus you’d like to control, please refer to:
# :ref:`Overriding Unsupported MET config file settings<met-config-overrides>`
#
# If there is a setting in the MET configuration file that is not controlled by an environment variable,
# you can add additional environment variables to be set only within the METplus environment using the [user_env_vars] section
# of the METplus configuration files. See the ‘User Defined Config’ section on the ‘System Configuration’ page of the METplus User’s Guide for more information.
#
# .. dropdown:: PointStatConfig_wrapped
#
# .. highlight:: bash
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# Python Embedding
# ----------------
#
# This use case requires the following Python dependencies:
#
# * Xarray
# * Pandas
# * METcalcpy 3.0.0+
#
# This use case uses a Python embedding script to read both the forecast and observation data, in order to compute TCI,
# which is the diagnostic that is being verified by MET using PointStat. The CESM forecast data is read using:
#
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#
# The raw FLUXNET2015 SUBSET data are read using:
#
# parm/use_cases/model_applications/land_surface/PointStat_fcstCESM_obsFLUXNET2015_TCI/fluxnet2015_tci.py
#
# .. highlight:: python
# .. literalinclude:: ../../../../parm/use_cases/model_applications/land_surface/PointStat_fcstCESM_obsFLUXNET2015_TCI/fluxnet2015_tci.py
# .. dropdown:: parm/use_cases/model_applications/land_surface/PointStat_fcstCESM_obsFLUXNET2015_TCI/fluxnet2015_tci.py
#
# .. highlight:: python
# .. literalinclude:: ../../../../parm/use_cases/model_applications/land_surface/PointStat_fcstCESM_obsFLUXNET2015_TCI/fluxnet2015_tci.py
#
# The user can control all command line arguments to this script via METplus config entries:
#
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# INFO: METplus has successfully finished running.
#
# Refer to the value set for **OUTPUT_BASE** to find where the output data was generated.
# Output for the use case will be found in 3 folders(relative to **OUTPUT_BASE**).
# Output for the use case will be found in 3 folders (relative to **OUTPUT_BASE**).
# Those folders are::
#
# * PyEmbedIngest
# * PointStat
# * PlotPointObs
#
# The **OUTPUT_BASE** folder contains all of the TCI output calculated using CESM files in NETCDF format::
# The PyEmbedIngest folder contains all of the TCI output calculated using CESM files in NETCDF format::
#
# * regrid_data_plane_DJF.nc
# * regrid_data_plane_JJA.nc
# * regrid_data_plane_MAM.nc
# * regrid_data_plane_SON.nc
#
# * PointStat
#
# The final folder, PointStat, contains all of the following output from the PointStat call::
# The PointStat folder contains all of the following output from the PointStat call::
#
# * point_stat_DJF_000000L_19790101_000000V_cnt.txt
# * point_stat_DJF_000000L_19790101_000000V_ctc.txt
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# * point_stat_SON_000000L_19790101_000000V_mpr.txt
# * point_stat_SON_000000L_19790101_000000V.stat
#
# * PlotPointObs
#
# The final folder plot_point_obs, contains all of the plots from the PlotPointObs call::
# The PlotPointObs folder contains all of the plots from the PlotPointObs call::
#
# * cesm_fluxnet2015_DJF.ps
# * cesm_fluxnet2015_JJA.ps
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