National Himawari Training Campaign

Learning Action Map - accessible version

Hierarchy of the Learning Action Map

The learning Action Map has the following hierarchy:

  • Goal
  • Job Tasks
  • Learning Activites
  • Essential Knowledge and Skills

Thes are illustrated in more detail in the table below.

 

Goal The Campaign will assist Australian Bureau of Meteorology, WMO Region V and other stakeholders in preparing for the effective use of Himawari-8 data prior to its availability using existing satellite resources with ongoing support after Himwari-8 data availability
Job Tasks
  • Analyse Rapid Scan and RGB product satellite data effectively in combination with other meteorological data
  • Use Rapid Scan and RGB product satellite data in combination with other meteorological data for nowcasting / short term forecasting
Learning Activities
  • Phase 1: Familiarisation
  • Phase 2: Training and Assessment
  • Phase 3: Ongoing Support after Himawari-8 availability
Essential Knowledge and Skills
  • Understand the advantages and disadvantages of Rapid Scan and RGB product satellite data over existing MTSAT data
  • Develop analysis / nowcasting / short-term forecasting skills to effectively use a rapidly changing dataset (Rapid Scan) and a complex product (RGB product)
  • Be able to use the new data in combination with other meteorological data to forecast meteorological features of interest and to assess the severity of associated weather
  • Understand the delays in receiving the data and the operational implications of this
  • Know and understand the tools (eg. Alerts) that operational Forecasters can use to enhance the use of Rapid Scan data within a busy Forecasters routine.
  • Gain an understanding how Rapid Scan satellite imagery compares to RADAR data
  • Be able to use the new data in verifying high resolution NWP models
  • Gain a knowledge of ingredients of RGB products, corresponding thresholds and adjustment of these for low latitudes.

 

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