5.2. Model Applications

5.2.1. 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

EnsembleStat: Using Python Embedding for Aerosol Optical Depth

EnsembleStat: Using Python Embedding for Aerosol Optical Depth

5.2.2. Climate

Average long range earth system predictions

Grid-Stat: CESM and GFS Analysis CONUS Temp

Grid-Stat: CESM and GFS Analysis CONUS Temp

Grid-Stat: CESM and GFS Analysis CONUS Temp
MODE: CESM and GPCP Asian Monsoon Precipitation

MODE: CESM and GPCP Asian Monsoon Precipitation

MODE: CESM and GPCP Asian Monsoon Precipitation

5.2.3. Convection Allowing Models

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)

MODE: Brightness Temperature Verification

MODE: Brightness Temperature Verification

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

Grid-Stat: Brightness Temperature Distance Maps

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

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

MODE/Grid-Stat: Brightness Temperature Verification and Distance Maps
Point2Grid: Calculate Practically Perfect Probabilities

Point2Grid: Calculate Practically Perfect Probabilities

Point2Grid: Calculate Practically Perfect Probabilities
Ensemble-Stat: Ensemble Statistics using Obs Uncertainty

Ensemble-Stat: Ensemble Statistics using Obs Uncertainty

Ensemble-Stat: Ensemble Statistics using Obs Uncertainty
MODE: Hail Verification

MODE: Hail Verification

MODE: Hail Verification
Grid-Stat: Surrogate Severe and Practically Perfect Evaluation

Grid-Stat: Surrogate Severe and Practically Perfect Evaluation

Grid-Stat: Surrogate Severe and Practically Perfect Evaluation
Grid-Stat: Surrogate Severe and Practically Perfect Probabilistic Evaluation

Grid-Stat: Surrogate Severe and Practically Perfect Probabilistic Evaluation

Grid-Stat: Surrogate Severe and Practically Perfect Probabilistic Evaluation
Surrogate Severe Calculation: PCPCombine, EnsembleStat, and RegridDataPlane

Surrogate Severe Calculation: PCPCombine, EnsembleStat, and RegridDataPlane

Surrogate Severe Calculation: PCPCombine, EnsembleStat, and RegridDataPlane

5.2.4. Data Assimilation

Observational data used as part of the initial conditions for numerical weather prediction

StatAnalysis: JEDI

StatAnalysis: JEDI

StatAnalysis: JEDI

5.2.5. Marine and Cryosphere

Data related to verification involving marine and cryosphere systems, which includes sea-ice

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

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

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 to read and process ice cover

GridStat: Python Embedding to read and process ice cover
Grid-Stat and MODE: Sea Ice Validation

Grid-Stat and MODE: Sea Ice Validation

Grid-Stat and MODE: Sea Ice Validation
GridStat: Python Embedding for sea surface salinity using level 3, 8 day mean obs

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

GridStat: Python Embedding for sea surface salinity using level 3, 8 day mean obs
GridStat: Python Embedding to read and process SST

GridStat: Python Embedding to read and process SST

GridStat: Python Embedding to read and process SST
PlotDataPlane: Python Embedding of tripolar coordinate file

PlotDataPlane: Python Embedding of tripolar coordinate file

PlotDataPlane: Python Embedding of tripolar coordinate file
GridStat: Python Embedding to read and process sea surface heights

GridStat: Python Embedding to read and process sea surface heights

GridStat: Python Embedding to read and process sea surface heights

5.2.6. 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: Feature Relative by Lead using Multiple User-Defined Fields

Multi_Tool: Feature Relative by Lead using Multiple User-Defined Fields
UserScript: Calculate the Difficulty Index

UserScript: Calculate the Difficulty Index

UserScript: Calculate the Difficulty Index
Multi_Tool (MTD): Feature Relative by Lead (with lead groupings)

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

Multi_Tool (MTD): Feature Relative by Lead (with lead groupings)
Grid-Stat: Standard Verification of Surface Fields

Grid-Stat: Standard Verification of Surface Fields

Grid-Stat: Standard Verification of Surface Fields
Point-Stat: Standard Verification for CONUS Surface

Point-Stat: Standard Verification for CONUS Surface

Point-Stat: Standard Verification for CONUS Surface
Multi_Tool: Feature Relative by Lead (with lead groupings)

Multi_Tool: Feature Relative by Lead (with lead groupings)

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

Multi_Tool: Feature Relative by Init

Multi_Tool: Feature Relative by Init
Grid-Stat: Compute Anomaly Correlation using Climatology

Grid-Stat: Compute Anomaly Correlation using Climatology

Grid-Stat: Compute Anomaly Correlation using Climatology
Point-Stat: Standard Verification of Global Upper Air

Point-Stat: Standard Verification of Global Upper Air

Point-Stat: Standard Verification of Global Upper Air

5.2.7. Precipitation

Any fields that can be defined as precipitation, including rain, snow, and other precipitation types

Grid-Stat: 6hr QPF in NetCDF format

Grid-Stat: 6hr QPF in NetCDF format

Grid-Stat: 6hr QPF in NetCDF format
Ensemble-Stat: WoFS

Ensemble-Stat: WoFS

Ensemble-Stat: WoFS
Grid-Stat: 6hr PQPF Probability Verification

Grid-Stat: 6hr PQPF Probability Verification

Grid-Stat: 6hr PQPF Probability Verification
Point-Stat: Investigating Preciptitation Types

Point-Stat: Investigating Preciptitation Types

Point-Stat: Investigating Preciptitation Types
MTD: Build Revision Series to Evaluate Forecast Consistency

MTD: Build Revision Series to Evaluate Forecast Consistency

MTD: Build Revision Series to Evaluate Forecast Consistency
Grid-Stat: 6hr QPF in GEMPAK format

Grid-Stat: 6hr QPF in GEMPAK format

Grid-Stat: 6hr QPF in GEMPAK format
Grid-Stat: 24-hour QPF Use Case

Grid-Stat: 24-hour QPF Use Case

Grid-Stat: 24-hour QPF Use Case
MTD: 6hr QPF Use Case

MTD: 6hr QPF Use Case

MTD: 6hr QPF Use Case
Ensemble-Stat: Basic Post-Processing only

Ensemble-Stat: Basic Post-Processing only

Ensemble-Stat: Basic Post-Processing only

5.2.8. 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)

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

TCGen: Genesis Density Function (GDF) and Track Density Function (TDF)
UserScript: Make a Cross Spectra plot

UserScript: Make a Cross Spectra plot

UserScript: Make a Cross Spectra plot
UserScript: Make a Hovmoeller plot

UserScript: Make a Hovmoeller plot

UserScript: Make a Hovmoeller plot
UserScript: Make zonal and meridonial means

UserScript: Make zonal and meridonial means

UserScript: Make zonal and meridonial means
Blocking Calculation: ERA RegridDataPlane, PcpCombine, and Blocking python code

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

Blocking Calculation: ERA RegridDataPlane, PcpCombine, and Blocking python code
UserScript: Make OMI plot from calculated MJO indices

UserScript: Make OMI plot from calculated MJO indices

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

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

UserScript: Make a Phase Diagram plot from input RMM or OMI
WeatherRegime Calculation: ERA RegridDataPlane, PcpCombine, and WeatherRegime python code

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

WeatherRegime Calculation: ERA RegridDataPlane, PcpCombine, and WeatherRegime python code
UserScript: Make RMM plots from calculated MJO indices

UserScript: Make RMM plots from calculated MJO indices

UserScript: Make RMM plots from calculated MJO indices
WeatherRegime Calculation: GFS and ERA RegridDataPlane, PcpCombine, and WeatherRegime python code

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

WeatherRegime Calculation: GFS and ERA RegridDataPlane, PcpCombine, and WeatherRegime python code
UserScript: Make OMI plot from calculated MJO indices

UserScript: Make OMI plot from calculated MJO indices

UserScript: Make OMI plot from calculated MJO indices
Grid-Stat and Series-Analysis: BMKG APIK Seasonal Forecast

Grid-Stat and Series-Analysis: BMKG APIK Seasonal Forecast

Grid-Stat and Series-Analysis: BMKG APIK Seasonal Forecast
Blocking Calculation: GFS and ERA RegridDataPlane, PcpCombine, and Blocking python code

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

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

5.2.9. Space Weather

Upper atmosphere and geospace model configurations

GenVxMask: Solar Altitude

GenVxMask: Solar Altitude

GenVxMask: Solar Altitude
Grid-Stat: Analysis validation

Grid-Stat: Analysis validation

Grid-Stat: Analysis validation

5.2.10. Tropical Cyclone and Extra Tropical Cyclone

Any field that is associated with Tropical Cyclone and Extra-tropical Cyclones

TCRMW: Hurricane Gonzalo

TCRMW: Hurricane Gonzalo

TCRMW: Hurricane Gonzalo
Track and Intensity Plotter: Generate mean, median and box plots

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

Track and Intensity Plotter: Generate mean, median and box plots
CyclonePlotter: Extra-TC Tracker and Plotting Capabilities

CyclonePlotter: Extra-TC Tracker and Plotting Capabilities

CyclonePlotter: Extra-TC Tracker and Plotting Capabilities
Grid-Stat: Verification of TC forecasts against merged TDR data

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

Grid-Stat: Verification of TC forecasts against merged TDR data
Point-Stat: Standard Verification for CONUS Surface

Point-Stat: Standard Verification for CONUS Surface

Point-Stat: Standard Verification for CONUS Surface
TCGen:  2021 Global Forecast System (GFS) Tropical Cyclone Genesis Forecast

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

TCGen: 2021 Global Forecast System (GFS) Tropical Cyclone Genesis Forecast
Cyclone Plotter: From TC-Pairs Output

Cyclone Plotter: From TC-Pairs Output

Cyclone Plotter: From TC-Pairs Output
CycloneVerification: TC Verification Compare ADECK vs BDECK

CycloneVerification: TC Verification Compare ADECK vs BDECK

CycloneVerification: TC Verification Compare ADECK vs BDECK

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