.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "generated/model_applications/s2s/GridStat_fcstCFSv2_obsGHCNCAMS_MultiTercile.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_generated_model_applications_s2s_GridStat_fcstCFSv2_obsGHCNCAMS_MultiTercile.py: GridStat: Determine dominant ensemble members terciles and calculate categorical outputs ======================================================================================== model_applications/s2s/GridStat_fcstCFSv2_obsGHCNCAMS_MultiTercile.conf .. GENERATED FROM PYTHON SOURCE LINES 9-13 .. contents:: :depth: 1 :local: :backlinks: none .. GENERATED FROM PYTHON SOURCE LINES 15-23 Scientific Objective -------------------- This use case ingests a CFSv2 Ensemble forecast, with all ensemble members in a single file for a given year. 29 years of forecast ensembles are used to create probabilities for each tercile, which is accomplished by a Python script. Of the terciles, each gridpoint is assigned a value corresponding to the tercile that is most likely to occur. This is compared to an observation set that contains the tercile data and MCTS line type is requested. This use case highlights the inclusion of tercile data for calculating HSS; in particular, how to utilize the hss_ec_value option to preset the expected values rather than relying on categorical values. .. GENERATED FROM PYTHON SOURCE LINES 25-29 Version Added ------------- METplus version 5.0 .. GENERATED FROM PYTHON SOURCE LINES 31-48 Datasets -------- **Forecast:** 29 CFSv2 Ensemble files, 2m temperature fields **Observations:** GHCNCAMS, 2m temperature field **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. .. GENERATED FROM PYTHON SOURCE LINES 50-56 METplus Components ------------------ This use case calls a Python script 29 times, once for each year of data of the CFSv2 ensemble. Each time a successful call to the script is made, a grid of 1s, 2s, and 3s is returned, representing which tercile was dominant for the gridpoint. GridStat processes the forecast and observation fields, and outputs the requested line types. .. GENERATED FROM PYTHON SOURCE LINES 58-76 METplus Workflow ---------------- **Beginning time (INIT_BEG):** 1982010100 **End time (INIT_END):** 2010020100 **Increment between beginning and end times (INIT_INCREMENT):** 1Y **Sequence of forecast leads to process (LEAD_SEQ):** None This use case utilizes 29 years of forecast data, with 24 members in each ensemble forecast. The following boundary times are used for the entire script: | **Init Beg:** 1982-01-01 | **Init End:** 2010-01-02 Because the increment is 1 year, all January 1st from 1982 to 2010 are processed for a total of 29 years. .. GENERATED FROM PYTHON SOURCE LINES 78-88 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/s2s/GridStat_fcstCFSv2_obsGHCNCAMS_MultiTercile.conf .. highlight:: bash .. literalinclude:: ../../../../parm/use_cases/model_applications/s2s/GridStat_fcstCFSv2_obsGHCNCAMS_MultiTercile.conf .. GENERATED FROM PYTHON SOURCE LINES 90-105 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:: GridStatConfig_wrapped .. literalinclude:: ../../../../parm/met_config/GridStatConfig_wrapped .. GENERATED FROM PYTHON SOURCE LINES 107-111 Python Embedding ---------------- This use case does not use Python embedding. .. GENERATED FROM PYTHON SOURCE LINES 113-117 User Scripting -------------- User Scripting is not used in this use case. .. GENERATED FROM PYTHON SOURCE LINES 119-128 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/s2s/GridStat_fcstCFSv2_obsGHCNCAMS_MultiTercile /path/to/user_system.conf See :ref:`running-metplus` for more information. .. GENERATED FROM PYTHON SOURCE LINES 130-151 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 the use case will be found in 29 folders(relative to **OUTPUT_BASE**). The output will follow the time information of the run. Specifically: * YYYY01 where YYYY will be replaced by values corresponding to each of the years (1982 through 2010). Each of those folders will have the following files: * grid_stat_000000L_19820101_000000V_pairs.nc * grid_stat_000000L_19820101_000000V_mctc.txt * grid_stat_000000L_19820101_000000V_mcts.txt * grid_stat_000000L_19820101_000000V.stat .. GENERATED FROM PYTHON SOURCE LINES 153-168 Keywords -------- .. note:: * GridStatToolUseCase * ProbabilityVerificationUseCase * PythonEmbeddingFileUseCase * S2SAppUseCase * NETCDFFileUseCase Navigate to the :ref:`quick-search` page to discover other similar use cases. .. _sphx_glr_download_generated_model_applications_s2s_GridStat_fcstCFSv2_obsGHCNCAMS_MultiTercile.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: GridStat_fcstCFSv2_obsGHCNCAMS_MultiTercile.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: GridStat_fcstCFSv2_obsGHCNCAMS_MultiTercile.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: GridStat_fcstCFSv2_obsGHCNCAMS_MultiTercile.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_