• Introduction to Data Fusion
    • Data Fusion in Severe Local Storm Forecasts and Warnings
    • Learning Objectives
    • WOC Course Completion Info
    • What is Data Fusion?
    • Four Data Fusion Considerations
  • Lesson Hub
    • Data Fusion Tools and Case Study
  • Tools
    • RAOBs
    • Surface Observations
    • Hand Analysis of Observations
    • Radar
    • Satellite
    • SPC Mesoanalysis
    • Point Model Soundings
    • CAMs Output
    • Spotter Reports
  • Case: Nov 29, 2019
    • The Phoenix CWA and Briefing
    • 00 UTC Upper Air Charts
    • GOES-17 RGB Airmass Loop
    • Forcings
    • RAP 13 Convective Parameters
    • HRRR Convective
    • Initial HRRR10Z-Sounding-PHX
    • SPC Day 1 Outlook
    • NWS PSR Threat Matrix
    • Forecast Problem 1: Frontal Analysis
    • 10 UTC Data Sources
    • Radar and Surface Sites
    • It's 10 UTC Nov 29: Strategy to Determine
    • Question About Front-Normal 0-3 km Shear
    • Survey Question 1
    • Survey Question 2
    • Survey Question 3
    • 1000 UTC Instructor's Review
    • 1100z Decision
    • 1130z Decision
    • Feedback Question 1
    • Feedback Question 2
    • Survey Question 4
    • Survey Question 5
    • Survey Question 6
    • Survey Question 7
    • 1100 UTC Instructor Review
    • Alternative Views: MRMS Products
    • Alternative Views: Nearby Single Radar
    • Alternative Views: Far Range Single Radar
    • Reports
    • Case Summary 1 of 3
    • Case Summary 2 of 3
    • Case Summary 3 of 3
  • Summary
    • Summary: Alternate Data Sources
    • Summary: Data Fusion Considerations
    • Exiting Summary
  • Quiz
    • Questions to Answer
  • For Help
    • Help and Information

Terms

Geostationary Operational Environmental Satellite Infrared Cloud Top Temperature

This means that you know what data you need to answer for a forecast problem.

The MRMS Azimuthal Shear product highlights areas of strong azimuthal shear in the WSR-88D network.

This refers to the confidence you gain byt he level of agreement among the data sources behind your decision.

This refers to the endemic limitations of a data source. This is distinct from the quality of those data.

DQ represents the degradation or erros in the data relative to normal, or missing data.

This is the Earth Networks Incorporated total lightning density product that comes in 3, 5 8 km resolution for typically 5 minute intervals that may update in 1 and 5 minutes.

Flash Extent Density

This refers to the density of flashes, usually over a prescribed time, from the Geostationary Lightning Mapper.

High Shear, Low CAPE Quasi-Linear Convective System

A network of closely spaced surface weather stations in the Western United States.

Data Fusion in Severe Storms Forecasting v2

Here are some useful links and documents:

  • GOES Airmass RGB quick guide
  • Rapid Refresh Model webpage
  • GOES-R Cyclogenesis Vorticity Concepts
Data Fusion in Severe Storms Forecasting v2
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