Target Audience: Flood Intelligence Cell Reservists: People with little or no knowledge of flood intelligence or WaterRIDE and other related systems.
Duration: 4hrs
Location: 1NS, Room 6.1
Content: What is it and how does it work?

Flood intel
Flood Intel Officer
Flooding
Flood Extent
Flood Intel sources = what are they ? (wR, Guardian, Enviromon, BOM website, Other websites, Flood Cameras, Flood Gauges, basically anywhere you can get info on flooding from)
Flood Intel input
Flood Intel output
Flood Studies
Flood Modelling
Flood Forecast Models
Hydrology / Ratings Curves / Grids / etc
Flood Intel accuracy and expectations / common misconceptions / usual things to look for / useful tips / etc
Datum – mAHD vs LHD – issues with both being used at the same time creating confusion on actual water level
Basics on how waterRIDE works behind the scenes
- flood studies are pre-loaded in by waterRIDE
- Flood gauge data automatically loaded in from flood gauges
- Flood forecast data from BOM forecast models loaded in automatically
- uses pre-canned surfaces and surface interpolation to produce flood extent based on current/forecast water levels
- each flood gauge has a ZOI
- backwaters
- soil moisture saturation levels – losses
- various models that can be run
  - QPF12hr - good when its raining
  - ADFD 10% Worset Case
  - ADFD 25% Most Likely Case
  - ADFD 50% Best Case
  - Options: 7 days rain on ground / 7 days rain forecast / etc
- Calibrated Radar
- Merged Rain Radar