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3.1

Training

  • METplus Tutorials
    • METplus v5.0 Tutorial
      • 1. Basic Verification Statistics Review
        • 1.1. Attributes of Forecast Quality
        • 1.2. Binary Categorical Forecasts
          • 1.2.1. Verification Statistics for Binary Categorical Forecasts
          • 1.2.2. Binary Categorical Skill Scores
          • 1.2.3. METplus Solutions for Binary Categorical Forecast Verification
          • 1.2.4. METplus Examples of Binary Categorical Forecast Verification
        • 1.3. Multicategorical Forecasts
          • 1.3.1. Verification Statistics for Multicategorical Forecasts
          • 1.3.2. Multicategorical Skill Scores
          • 1.3.3. METplus Solutions for Multicategorical Forecast Verification
          • 1.3.4. METplus Examples for Multicategorical Forecast Verification
        • 1.4. Continuous Forecasts
          • 1.4.1. Verification Statistics for Continuous Forecasts
          • 1.4.2. METplus Solutions for Continuous Forecast Verification
          • 1.4.3. METplus Examples for Continuous Forecast Verification
        • 1.5. Probabilistic Forecasts
          • 1.5.1. Verification Statistics for Probabilistic Forecasts
          • 1.5.2. Probabilistic Skill Scores
          • 1.5.3. METplus Solutions for Probabilistic Forecast Verification
          • 1.5.4. METplus Examples for Probabilistic Forecast Verification
      • 2. Preliminary Work: METplus Setup
        • 2.1. METplus Setup
          • 2.1.1. METplus: Initial Setup
            • 2.1.1.1. Setting up the Tutorial Environment on Cheyenne (NCAR)
            • 2.1.1.2. Setting up the Tutorial Environment on Jet (NOAA)
            • 2.1.1.3. Setting up the Tutorial Environment on Seneca (NCAR)
            • 2.1.1.4. Setting up the Tutorial Environment on Hera (NOAA)
            • 2.1.1.5. Setting up the Tutorial Environment (bash)
            • 2.1.1.6. Setting up the Tutorial Environment (csh)
          • 2.1.2. Verify Environment is Set Correctly
        • 2.2. METplus Overview
          • 2.2.1. METplus: Directories and Configuration Files - Overview
          • 2.2.2. METplus: User Configuration Settings
          • 2.2.3. METplus: How to Run with Example.conf
          • 2.2.4. Modifying Timing Control in Example.conf
          • 2.2.5. Modifying Filename Template in Example.conf
          • 2.2.6. Modifying Log Timestamp using Example.conf
      • 3. Session 1: Grid-to-Grid
        • 3.1. MET Tool: PCP-Combine
          • 3.1.1. Run Sum Command
          • 3.1.2. Output
          • 3.1.3. Add and Subtract Commands
          • 3.1.4. Derive Command
        • 3.2. MET Tool: Plot-Data-Plane
          • 3.2.1. The Field String
          • 3.2.2. Plot GRIB Data
          • 3.2.3. Plot NetCDF Data
          • 3.2.4. Python Embedding
        • 3.3. MET Tool: Gen-Vx-Mask
          • 3.3.1. Run Poly Type
          • 3.3.2. Run Lat/Lon and Grid Types
          • 3.3.3. Run Data and Solar Types
          • 3.3.4. Run Track and Circle Types
          • 3.3.5. Run Shape Type
        • 3.4. MET Tool: Grid-Stat
          • 3.4.1. Configure
          • 3.4.2. Run
          • 3.4.3. Output
          • 3.4.4. METplus Motivation
        • 3.5. METplus Use Case: GridStat
        • 3.6. End of Session 1 and Additional Exercises
          • 3.6.1. Answers to Exercises from Session 1
      • 4. Session 2: Grid-to-Obs
        • 4.1. MET Tool: PB2NC
          • 4.1.1. Configure
          • 4.1.2. Run
          • 4.1.3. Output
          • 4.1.4. Reconfigure and Rerun
        • 4.2. METplus Use Case: PB2NC
        • 4.3. MET Tool: ASCII2NC
          • 4.3.1. Run
          • 4.3.2. Output
        • 4.4. METplus Use Case: ASCII2NC with Python Embedding
        • 4.5. MET Tool: Point-Stat
          • 4.5.1. Configure
          • 4.5.2. Run
          • 4.5.3. Output
          • 4.5.4. Reconfigure
          • 4.5.5. Rerun
          • 4.5.6. Plot-Data-Plane Tool
          • 4.5.7. Output
        • 4.6. METplus Use Case: PointStat
        • 4.7. METplus Use Case: PointStat - Standard Verification of Global Upper Air
        • 4.8. METplus Use Case: PointStat - Standard Verification for CONUS Surface
        • 4.9. End of Session 2 and Additional Exercises
      • 5. Session 3: Analysis Tools
        • 5.1. MET Tool: Stat-Analysis
          • 5.1.1. Configure
          • 5.1.2. Run on Point-Stat Output
          • 5.1.3. Output
          • 5.1.4. Exercise Answers
        • 5.2. METplus Use Case: StatAnalysis
        • 5.3. MET Tool: Series-Analysis
          • 5.3.1. Configure
          • 5.3.2. Run
          • 5.3.3. Output
        • 5.4. METplus Use Case: SeriesAnalysis
        • 5.5. End of Session 3
      • 6. Session 4: Ensemble and PQPF
        • 6.1. MET Tool: Gen-Ens-Prod
          • 6.1.1. Configure
          • 6.1.2. Run
          • 6.1.3. Output
          • 6.1.4. Rerun
        • 6.2. MET Tool: Ensemble-Stat
          • 6.2.1. Configure
          • 6.2.2. Run
          • 6.2.3. Output
        • 6.3. METplus Use Case: GenEnsProd and EnsembleStat
        • 6.4. METplus Use Case: EnsembleStat with Multiple Variables and Leads
        • 6.5. METplus Use Case: PQPF
        • 6.6. End of Session 4 and Additional Exercises
      • 7. Session 5: MODE and MTD
        • 7.1. MET Tool: MODE
          • 7.1.1. Configure
          • 7.1.2. Run
          • 7.1.3. Output
        • 7.2. METplus Use Case: MODE
        • 7.3. MET Tool: MTD
          • 7.3.1. Configure
          • 7.3.2. Run
          • 7.3.3. Output
        • 7.4. METplus Use Case: MTD
        • 7.5. End of Session 5 and Additional Exercises
      • 8. Session 6: Track and Intensity
        • 8.1. MET Tool: TC-Pairs
          • 8.1.1. Input Format
          • 8.1.2. Configure
          • 8.1.3. Run
          • 8.1.4. Output
        • 8.2. MET Tool: TC-Stat
          • 8.2.1. Configure
          • 8.2.2. Run on TC-Pairs Output: Filter
          • 8.2.3. Run on TC-Pairs Output: Summary
          • 8.2.4. Plotting with R
        • 8.3. METplus Use Case: TC-Pairs
        • 8.4. METplus Use Case: TC-Stat
        • 8.5. METplus Use Case: Track and Intensity Plotting
        • 8.6. End of Session 6
      • 9. Session 7: Feature Relative Use Cases
        • 9.1. METplus Use Case: Feature Relative Init
        • 9.2. METplus Use Case: Feature Relative Lead
        • 9.3. End of Session 7
      • 10. Session 8: METplus Analysis Tools
        • 10.1. METviewer
          • 10.1.1. Time Series of Categorical Statistics Plot
          • 10.1.2. Time Series of Categorical Statistics Plot Output
          • 10.1.3. Object Based Attribute Area Box Plot
        • 10.2. METplotpy
          • 10.2.1. Histogram
            • 10.2.1.1. Overview
            • 10.2.1.2. Set Up Pre-Requisites
            • 10.2.1.3. Create the Rank Historgram Plot
            • 10.2.1.4. Create the Relative Frequency Histogram and Probability Histogram
          • 10.2.2. Wind Rose
            • 10.2.2.1. Overview
            • 10.2.2.2. Set Up Pre-Requisites
            • 10.2.2.3. Create the Wind Rose Diagram
        • 10.3. METdataio
          • 10.3.1. METreformat Overview
          • 10.3.2. METreformat Components
          • 10.3.3. Example of Running METreformat
            • 10.3.3.1. Set Up Pre-Requisites
            • 10.3.3.2. Reformat MET Point-Stat .stat Files
          • 10.3.4. Generate a METplotpy Line Plot
            • 10.3.4.1. Set Up Pre-Requisites
            • 10.3.4.2. Set the PYTHONPATH and METPLOTPY_BASE Env Vars
            • 10.3.4.3. Copy Custom Config File to user_config
            • 10.3.4.4. Modify the Custom Configuration File
            • 10.3.4.5. Generate the Line Plot
        • 10.4. End of Session 8
      • 11. Session 9: Python Embedding
        • 11.1. Python Embedding Overview
          • 11.1.1. General MET Python Embedding Elements
            • 11.1.1.1. Details for Python Embedding Scripts with 2D Gridded Data
            • 11.1.1.2. Details for Python Embedding Scripts with Point Data
          • 11.1.2. Advanced Python Requirements
          • 11.1.3. Setup for Python Embedding Practice
        • 11.2. Python Embedding for Gridded Data
          • 11.2.1. Simple Gridded Data Example with MET Tools
          • 11.2.2. Simple Gridded Data Example with METplus Wrappers
        • 11.3. Python Embedding for Point Data
          • 11.3.1. Simple Gridded Data Example with MET Tools
          • 11.3.2. Simple Gridded Data Example with METplus Wrappers
        • 11.4. Writing a Python Script for Python Embedding
        • 11.5. Use Your Python Embedding Script with MET Tools
          • 11.5.1. PYTHON_NUMPY
          • 11.5.2. PYTHON_XARRAY
        • 11.6. Using Your Python Embedding Script With METplus Wrappers
          • 11.6.1. PYTHON_NUMPY
          • 11.6.2. PYTHON_XARRAY
        • 11.7. End of Session 9
      • 12. Session 10: Subseasonal to Seasonal
        • 12.1. S2S Metrics General
          • 12.1.1. Background
          • 12.1.2. Format of Subseasonal to Seasonal Metrics
          • 12.1.3. Basic Information on UserScripts
          • 12.1.4. Configuration Sections
          • 12.1.5. Final Considerations
        • 12.2. Run METplus for the OMI Use-Case
          • 12.2.1. Configuring the METplus OMI Use Case
          • 12.2.2. Run METplus for the OMI Use Case
          • 12.2.3. Check the Output
        • 12.3. METplus Use Case: Weather Regime
          • 12.3.1. Background
          • 12.3.2. Configure the Weather Regime Use Case
          • 12.3.3. Run METplus for the Weather Regime Use Case
          • 12.3.4. Check the Output
        • 12.4. End of Session 10
      • 13. Session 11: METplus Cloud
        • 13.1. Create an EC2 Instance
      • 14. Tutorial Survey
  • Training Series
    • 2023-2024 METplus Advanced Training Series
    • 2021-2022 METplus Training Series
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