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bikegeek committed Jan 20, 2024
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"""
UserScript: Reformat MET ECNT linetype, Aggregate based on XYZ, and generate a spread skill plot
=================================================================================================
model_applications/
short_range/
UserScript_fcstRRFS_fcstOnly_Reformat_Aggregate_Plot.py
"""

#################################################################################
# Scientific Objective
# --------------------
#
# This use case illustrates how to use MET .stat output (using the ECNT linetype data) to generate a
# spread skill plot using a subset of the METplus Analysis Tools (METdataio, METcalcpy,
# and METplotpy). The METdataio METreformat module extracts the ECNT linetype data and
# performas reformatting, the METcalcpy pre-processing module performs aggregation, and the
# METplotpy line plot is used to generate the spread skill plot.
#

#################################################################################
# Datasets
# --------
#
# * Forecast dataset: RRFS
# * Observation dataset: None
#

##############################################################################
# METplus Components
# ------------------
#
# This use case runs the UserScript wrapper tool to run a user provided script,
# in this case, reformat_ecnt_linetype.py, XYZ.py and plot_spread_skill.py.
#

##############################################################################
# METplus Workflow
# ----------------
#
# This use case reads in the MET .stat output that contains the ECNT linetype (from
# either the MET ensemble-stat tool).
# The use case loops over two processes, computing and plotting the
# cross-spectra. The user is able to edit the process list to turn off the
# computation part if only plotting is desired, or vice versa.
#

##############################################################################
# METplus Configuration
# ---------------------
#
# METplus first loads all the configuration files found in parm/metplus_config,
# then it loads any configuration files passed to METplus via the command line
# with the -c option, i.e. -c parm/use_cases/model_applications/s2s/UserScript_fcstS2S_obsERAI_CrossSpectra.conf
#
# .. highlight:: bash
# .. literalinclude:: ../../../../parm/use_cases/model_applications/s2s/UserScript_fcstS2S_obsERAI_CrossSpectra.conf
#

#############################################################################
# MET Configuration
# ---------------------
#
# There are no MET tools used in this use case. The use case uses MET .stat
# output as input for the reformatting step.
#

##############################################################################
# Python Embedding
# ----------------
#
# There is no python embedding in this use case
#

##############################################################################
# Python Scripts
# ----------------
#
# This use case uses the following Python script to reformat the MET .stat ECNT linetype data
# into a format that can be used by the plotting scripts.
# .. highlight:: python
# .. literalinclude:: ../../../../parm/use_cases/model_applications/short_range/UserScript_fcstRRFS_fcstOnly_Reformat_Aggregate_Plot/reformat_ecnt.py
#

# This use case uses a Python script to aggregate based on XYZ
#
# .. highlight:: python
# .. literalinclude:: ../../../../parm/use_cases/model_applications/short_range/UserScript_fcstRRFS_fcstOnly_Reformat_Aggregate_Plot/plot_spread_skill.py
#

# This use case uses a Python script to perform plotting
#
# .. highlight:: python
# .. literalinclude:: ../../../../parm/use_cases/model_applications/short_range/UserScript_fcstRRFS_fcstOnly_Reformat_Aggregate_Plot/plot_spread_skill.py
#

##############################################################################
# Running METplus
# ---------------
#
# This use case can be run two ways:
#
# 1) Passing in UserScript_fcstRRFS_fcstOnly_Reformat_Aggregate_Plot.conf,
# then a user-specific system configuration file::
#
# run_metplus.py -c /path/to/METplus/parm/use_cases/model_applications/short_range/UserScript_fcstRRFS_fcstOnly_Reformat_Aggregate_Plot.conf -c /path/to/user_system.conf
#
# 2) Modifying the configurations in parm/metplus_config, then passing in UserScript_fcstRRFS_fcstOnly_Reformat_Aggregate_Plot.conf::
#
# run_metplus.py -c /path/to/METplus/parm/use_cases/model_applications/short_range/UserScript_fcstRRFS_fcstOnly_Reformat_Aggregate_Plot.conf
#
# The former method is recommended. Whether you add them to a user-specific configuration file or modify the metplus_config files, the following variables must be set correctly:
#
# * **INPUT_BASE** - Path to directory where sample data tarballs are unpacked (See Datasets section to obtain tarballs). This is not required to run METplus, but it is required to run the examples in parm/use_cases
# * **OUTPUT_BASE** - Path where METplus output will be written. This must be in a location where you have write permissions
# * **MET_INSTALL_DIR** - Path to location where MET is installed locally
#
# and for the [exe] section, you will need to define the location of NON-MET executables.
# If the executable is in the user's path, METplus will find it from the name.
# If the executable is not in the path, specify the full path to the executable here (i.e. RM = /bin/rm)
# The following executables are required for performing series analysis use cases:
#
# Example User Configuration File::
#
# [dir]
# INPUT_BASE = /path/to/sample/input/data
# OUTPUT_BASE = /path/to/output/dir
# MET_INSTALL_DIR = /path/to/met-X.Y
#
# [exe]
# RM = /path/to/rm
# CUT = /path/to/cut
# TR = /path/to/tr
# NCAP2 = /path/to/ncap2
# CONVERT = /path/to/convert
# NCDUMP = /path/to/ncdump
#

##############################################################################
# Expected Output
# ---------------
#
# A successful run will output the following both to the screen and to the logfile::
#
# INFO: METplus has successfully finished running.
#

##############################################################################
# Keywords
# --------
#
# .. note::
#
# * UserScriptUseCase
# * ShortRangeAppUseCase
# * METdataioUseCas
# * METcalcpyUseCase
# * METplotpyUseCase
#
# Navigate to the :ref:`quick-search` page to discover other similar use cases.
#
#
#
# sphinx_gallery_thumbnail_path = '_static/short_range-UserScript_fcstRRFS_fcstOnly_spread_skill_ecnt.png'

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