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bugfix 729 main_v3.1 fix SyntaxError use case doc (#730)
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* fixed formatted for use case doc

* removed duplicate glossary items that were causing a warning when building the docs
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georgemccabe authored Dec 11, 2020
1 parent e9a4406 commit 114ec93
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6 changes: 0 additions & 6 deletions docs/Users_Guide/glossary.rst
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Expand Up @@ -1637,9 +1637,6 @@ METplus Configuration Glossary
FCST_LEVEL
.. warning:: **DEPRECATED:** Please use :term:`FCST_PCP_COMBINE_INPUT_ACCUMS` instead.

FCST_MAX_FORECAST
.. warning:: **DEPRECATED:** Please use :term:`LEAD_SEQ_MAX` instead.

FCST_MODE_CONV_RADIUS
Comma separated list of convolution radius values used by mode for forecast fields. A corresponding variable exists for observation data called :term:`OBS_MODE_CONV_RADIUS`.

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TIME_SUMMARY_VAR_NAMES
.. warning:: **DEPRECATED:** Please use :term:`PB2NC_TIME_SUMMARY_VAR_NAMES` instead.

TIME_SUMMARY_TYPES
.. warning:: **DEPRECATED:** Please use :term:`PB2NC_TIME_SUMMARY_TYPES` instead.

PB2NC_TIME_SUMMARY_TYPES
Specify the time summary type list item in the MET pb2nc config file. Refer to the `MET User's Guide <https://dtcenter.org/community-code/model-evaluation-tools-met/documentation>`_ for more information.

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Expand Up @@ -7,20 +7,19 @@
_obsGFS_FeatureRelative
_SeriesByLead_PyEmbed_IVT.conf
"""

========================================================================
This use case calls multiple tools to produce diagnostic plots of systematic erros relative to a
feature (e.g. hurricane, MCS, etc...). This use case calls a user provided python script that
calculates a diagnostic of interest (e.g. integrated vapor transport, potential vorticity, etc...).
This user diagnostic is then used to define the systematic errors. This example calculates statistics
over varying forecast leads with the ability to define lead groupings. This use case is very similar
to the Multi_Tools: Feature Relative by Lead use case.
(ADeck,GFS:BDeck,GFS:ATCF,Grib2)
"""
##############################################################################
# Scientific Objective
# --------------------
#
# This use case calls multiple tools to produce diagnostic plots of systematic erros relative to a
# feature (e.g. hurricane, MCS, etc...). This use case calls a user provided python script that
# calculates a diagnostic of interest (e.g. integrated vapor transport, potential vorticity, etc...).
# This user diagnostic is then used to define the systematic errors. This example calculates statistics
# over varying forecast leads with the ability to define lead groupings. This use case is very similar
# to the Multi_Tools: Feature Relative by Lead use case.
# (ADeck,GFS:BDeck,GFS:ATCF,Grib2)
#
# By maintaining focus of each evaluation time (or evaluation time series, in this case)
# on a user-defined area around a cyclone, the model statistical errors associated
# with cyclonic physical features (moisture flux, stability, strength of upper-level
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#
# PyEmbedIngest, TCPairs, ExtractTiles, SeriesByLead
#
# This example loops by forecast/lead time (with begin, end, and increment as specified in the METplus TCStat_SeriesAnalysis_fcstGFS_obsGFS_FeatureRelative_SeriesByLead_PyEmbed_IVT.conf file).
# This example loops by forecast/lead time (with begin, end, and increment as specified in the METplus
# TCStat_SeriesAnalysis_fcstGFS_obsGFS_FeatureRelative_SeriesByLead_PyEmbed_IVT.conf file).
#
# 4 initialization times will be run over 5 lead times:
#
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#
# This use case can be run two ways:
#
# 1) Passing in TCStat_SeriesAnalysis_fcstGFS_obsGFS_FeatureRelative_SeriesByLead_PyEmbed_IVT.conf
# 1) Passing in TCStat_SeriesAnalysis_fcstGFS_obsGFS_FeatureRelative_SeriesByLead_PyEmbed_IVT.conf,
# then a user-specific system configuration file::
#
# master_metplus.py \
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