""" Multi_Tool: Feature Relative by Lead (with lead groupings) ========================================================== model_applicaitons/medium_range/TCStat_SeriesAnalysis_fcstGFS_obsGFS_FeatureRelative_SeriesByLead.conf """ ############################################################################## # .. contents:: # :depth: 1 # :local: # :backlinks: none ############################################################################## # Scientific Objective # -------------------- # # 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 # PV anomaly and jet, etc.) can be related directly to the model forecasts and provide # improvement guidance by accurately depicting interactions with significant weather # features around and within the cyclone. This is in contrast to the traditional # method of regional averaging cyclone observations in a fixed grid, which # "smooths out" system features and limits the meaningful metrics that can be gathered. # Specifically, this use case creates bins of forecast lead times as specified by the # given ranges which provides additional insight directly into forecast lead time accuracy. ############################################################################## # Version Added # ------------- # # METplus version 3.0 ############################################################################## # Datasets # -------- # # **Forecast:** ADeck Automated Tropical Cyclone Forecasting System (ATCF) # and NOAA Global Forecast System (GFS) # # **Observation:** BDeck Automated Tropical Cyclone Forecasting System (ATCF) # and NOAA Global Forecast System (GFS) analysis # # **Climatology:** None # # **Location:** All of the input data required for this use case can be # found in a sample data tarball. Each use case category will have # one or more sample data tarballs. It is only necessary to download # the tarball with the use case’s dataset and not the entire collection # of sample data. Click here to access the METplus releases page and download sample data # for the appropriate release: https://github.com/dtcenter/METplus/releases # This tarball should be unpacked into the directory that you will # set the value of INPUT_BASE. See :ref:`running-metplus` section for more information. ############################################################################## # External Dependencies # --------------------- # # You will need to use a version of Python 3.6+ that has the following packages installed:: # # * netCDF4 ############################################################################## # METplus Components # ------------------ # # This use case first runs TCPairs and ExtractTiles wrappers to generate matched # tropical cyclone data and regrid them into appropriately-sized tiles # along a storm track. The MET tc-stat tool is used to filter the # track data, and the MET regrid-dataplane tool is used to regrid the # data (GRIB1 or GRIB2 into netCDF). Next, a series analysis by lead time is # performed on the results and plots (.ps and .png) are generated for all # variable-level-stat combinations from the specified variables, levels, and # requested statistics. The final results are aggregated into forecast hour # groupings as specified by the start, end and increment in the METplus # configuration file, as well as labels to identify each forecast hour grouping. ############################################################################## # METplus Workflow # ---------------- # # **Beginning time (INIT_BEG):** 20141214 # # **End time (INIT_END):** 20141214 # # **Increment between beginning and end times (INIT_INCREMENT):** None # # **Sequence of forecast leads to process:** # # | LEAD_SEQ_1 = begin_end_incr(0,18,6) # | LEAD_SEQ_1_LABEL = Day1 # | # | LEAD_SEQ_2 = begin_end_incr(24,42,6) # | LEAD_SEQ_2_LABEL = Day2 # # The following tools are used for each run time: # # TCPairs > RegridDataPlane, TCStat > SeriesAnalysis # # This example loops by forecast/lead time (with begin, end, and increment as specified in the METplus # TCStat_SeriesAnalysis_fcstGFS_obsGFS_FeatureRelative_SeriesByLead.conf file). # The following will be run based on the availability of data corresponding to the initialization time # (in this example, we only have 20141214 as our initialization time) and the requested forecast leads, resulting # in the run times below. # # Run times: # # **Init:** 20141214_0Z # # **Forecast lead:** 6, 12, 18, 24, 30, 36, 42 ############################################################################## # METplus Configuration # --------------------- # # METplus first loads all of the configuration files found in parm/metplus_config, # then it loads any configuration files passed to METplus via the command line, # i.e. parm/use_cases/model_applications/medium_range/TCStat_SeriesAnalysis_fcstGFS_obsGFS_FeatureRelative_SeriesByLead.conf # # .. highlight:: bash # .. literalinclude:: ../../../../parm/use_cases/model_applications/medium_range/TCStat_SeriesAnalysis_fcstGFS_obsGFS_FeatureRelative_SeriesByLead.conf ############################################################################## # MET Configuration # --------------------- # # METplus sets environment variables based on user settings in the METplus configuration file. # See :ref:`How METplus controls MET config file settings` for more details. # # **YOU SHOULD NOT SET ANY OF THESE ENVIRONMENT VARIABLES YOURSELF! THEY WILL BE OVERWRITTEN BY METPLUS WHEN IT CALLS THE MET TOOLS!** # # If there is a setting in the MET configuration file that is currently not supported by METplus you'd like to control, please refer to: # :ref:`Overriding Unsupported MET config file settings` # # .. dropdown:: TCPairsConfig_wrapped # # .. literalinclude:: ../../../../parm/met_config/TCPairsConfig_wrapped # # .. dropdown:: TCStatConfig_wrapped # # .. literalinclude:: ../../../../parm/met_config/TCStatConfig_wrapped # # .. dropdown:: SeriesAnalysisConfig_wrapped # # .. literalinclude:: ../../../../parm/met_config/SeriesAnalysisConfig_wrapped ############################################################################## # Python Embedding # ---------------- # # This use case does not use Python embedding. ############################################################################## # User Scripting # -------------- # # User Scripting is not used in this use case. ############################################################################## # Running METplus # --------------- # # Pass the use case configuration file to the run_metplus.py script along # with any user-specific system configuration files if desired:: # # run_metplus.py /path/to/METplus/parm/use_cases/model_applications/medium_range/TCStat_SeriesAnalysis_fcstGFS_obsGFS_FeatureRelative_SeriesByLead.conf /path/to/user_system.conf # # See :ref:`running-metplus` for more information. ############################################################################## # Expected Output # --------------- # # A successful run will output the following both to the screen and to the logfile:: # # INFO: METplus has successfully finished running. # # Refer to the value set for **OUTPUT_BASE** to find where the output data was generated. # Output for this use case will be found in series_analysis_lead, relative to the **OUTPUT_BASE**, and in the following directories (relative to **OUTPUT_BASE**): # # * Day1 # * Day2 # * series_animate # # The *Day1* subdirectory will contain files that have the following format: # # ANLY_FILES_Fhhh_to_FHHH # # FCST_ASCII_FILES_Fhhh_to_FHHH # # series___.png # # series___.ps # # series___.nc # # Where: # # **hhh** is the starting forecast hour/lead time in hours # # **HHH** is the ending forecast hour/lead time in hours # # **varname** is the variable of interest, as specified in the METplus series_by_lead_all_fhrs config file # # **level** is the level of interest, as specified in the METplus series_by_lead_all_fhrs config file # # **stat** is the statistic of interest, as specified in the METplus series_by_lead_all_fhrs config file. # # The *Day2* subdirectory will contain files that have the same formatting as *Day1*, but for those forecast hours within 24 to 42 hours. # # | The series_animate directory contains the animations of the series analysis in .gif format for all variable, level, and statistics combinations: # # series_animate___.gif ############################################################################## # Keywords # -------- # # .. note:: # # * MediumRangeAppUseCase # * TCPairsToolUseCase # * SeriesByLeadUseCase # * TCStatToolUseCase # * RegridDataPlaneToolUseCase # * MediumRangeAppUseCase # * SeriesAnalysisUseCase # * GRIB2FileUseCase # * FeatureRelativeUseCase # * SBUOrgUseCase # * DiagnosticsUseCase # * RuntimeFreqUseCase # * TropicalCycloneUseCase # # Navigate to the :ref:`quick-search` page to discover other similar use cases. # # # # sphinx_gallery_thumbnail_path = '_static/medium_range-TCStat_SeriesAnalysis_fcstGFS_obsGFS_FeatureRelative_SeriesByLead.png' #