7.2. Model Applications
7.2.1. Air Quality and Composition
Data related to all areas of atmospheric composition, including ozone, smoke, dust, AOD and PM2.5

EnsembleStat: Using Python Embedding for Aerosol Optical Depth
7.2.2. Climate
Average long range earth system predictions
7.2.3. Data Assimilation
Observational data used as part of the initial conditions for numerical weather prediction
7.2.4. Marine and Cryosphere
Data related to verification involving marine and cryosphere systems, which includes sea-ice

PointStat: read in buoy ASCII files to compare to model wave heights

GridStat: Python Embedding for sea surface salinity using level 3, 1 day composite obs

GridStat: Python Embedding to read and process ice cover

GridStat: Python Embedding for sea surface salinity using level 3, 8 day mean obs

GridStat: Python Embedding to read and process SST

PlotDataPlane: Python Embedding of tripolar coordinate file

GridStat: Python Embedding to read and process sea surface heights

UserScript: Python Script to compute cable transport
7.2.5. Medium Range
Lower resolution model configuration (>4km) usually producing forecasts out to 7-14 days (also referred to as global models)

Multi_Tool: Feature Relative by Lead using Multiple User-Defined Fields

Multi_Tool (MTD): Feature Relative by Lead (with lead groupings)

GridStat: Use binary observation field to verify percentile forecast

Grid-Stat: Standard Verification of Surface Fields

Point-Stat: Standard Verification for CONUS Surface

Multi_Tool: Feature Relative by Lead (with lead groupings)

Grid-Stat: Compute Anomaly Correlation using Climatology

Point-Stat: Standard Verification of Global Upper Air
7.2.6. Precipitation
Any fields that can be defined as precipitation, including rain, snow, and other precipitation types

MTD: Build Revision Series to Evaluate Forecast Consistency

PointStat: Compare community observed precipitation to model forecasts
7.2.7. Subseasonal to Seasonal
Subseasonal-to-Seasonal model configurations; Lower resolution model configurations (>4km) usually producing forecasts out beyond 14 days and up 1 year

TCGen: Genesis Density Function (GDF) and Track Density Function (TDF)

SeriesAnalysis: Standardize ensemble members and calculate probabilistic outputs

GridStat: Determine dominant ensemble members terciles and calculate categorical outputs

Grid-Stat and Series-Analysis: BMKG APIK Seasonal Forecast
7.2.8. Subseasonal to Seasonal: Mid-Latitude
Subseasonal-to-Seasonal model configurations relating to middle latitudes

Blocking Calculation: ERA RegridDataPlane, PcpCombine, and Blocking python code

WeatherRegime Calculation: ERA RegridDataPlane, PcpCombine, and WeatherRegime python code

WeatherRegime Calculation: GFS and ERA RegridDataPlane, PcpCombine, and WeatherRegime python code

Blocking Calculation: GFS and ERA RegridDataPlane, PcpCombine, and Blocking python code
7.2.9. Subseasonal to Seasonal: Madden-Julian Oscillation
Subseasonal-to-Seasonal model configurations relating to the Madden-Julian oscillation

UserScript: Make OMI plot from calculated MJO indices

UserScript: Make a Phase Diagram plot from input RMM or OMI

UserScript: Make RMM plots from calculated MJO indices

UserScript: Make MaKE-MaKI plot from calculated MaKE and MaKI indices

UserScript: Make OMI plot from calculated MJO indices
7.2.10. Short Range
High resolution model configurations (1-4km) usually producing forecasts between 0-3 days (also referred to as limited area models, stand-alone regional, and short range weather applications); Previously named Convection Allowing Models

MODE/Grid-Stat: Brightness Temperature Verification and Distance Maps

UserScript: Physics Tendency Vertical Profile plot

Point2Grid: Calculate Practically Perfect Probabilities

Ensemble-Stat: Ensemble Statistics using Obs Uncertainty

Grid-Stat: Surrogate Severe and Practically Perfect Evaluation

UserScript: Physics Tendency Vertical Cross Section plot

Grid-Stat: Surrogate Severe and Practically Perfect Probabilistic Evaluation

Surrogate Severe Calculation: PCPCombine, GenEnsProd, and RegridDataPlane
7.2.11. Space Weather
Upper atmosphere and geospace model configurations
7.2.12. Tropical Cyclone and Extra Tropical Cyclone
Any field that is associated with Tropical Cyclone and Extra-tropical Cyclones

Track and Intensity Plotter: Generate mean, median and box plots

CyclonePlotter: Extra-TC Tracker and Plotting Capabilities

Grid-Stat: Verification of TC forecasts against merged TDR data

Point-Stat: Standard Verification for CONUS Surface

TCGen: 2021 Global Forecast System (GFS) Tropical Cyclone Genesis Forecast

CycloneVerification: TC Verification Compare ADECK vs BDECK
7.2.13. Unstructured Grids
Unstructured grids used by models for numerical weather prediction.