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Image Interpretation for Weather Analysis

Enhance weather analysis skills with examples showing GOES imagery interpretation for thunderstorm detection, cloud boundary identification, snow vs. clouds differentiation, urban heat islands, water vapor and jet stream analysis. Learn to locate ridges, troughs, and water vapor features while improving fog and supercooled cloud detection methods.

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Image Interpretation for Weather Analysis

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  1. Image Interpretation for Weather Analysis Part 2 3 November 2009 Dr. Steve Decker

  2. Improvement Example • Registration GOES-12 vs. GOES-13 • Battery power

  3. Severe Thunderstorm Detection • Severe thunderstorms often have notable overshooting tops • Vis: Shadow effects • IR: “Enhanced-V” signature • Example: VisIR

  4. Boundary Detection • Boundary: Subtle separation between two air masses • Region of enhanced lifting • Clouds • Thunderstorms • Best seen in Vis • Lake Breeze example

  5. Blowing Snow • Can produce whiteout conditions, even with no precipitation • Vis example

  6. Common Channels • Visible • 0.65 μm (red) • Infrared (IR) • 10.7 μm • Water Vapor • 6.7 μm • Shortwave IR • 3.9 μm

  7. Atmospheric Absorptivity

  8. Shortwave IR • An infrared window channel • Just like “longwave” IR • Also sees solar radiation (blackbody curve overlap) • Works best for warmer temps • > -30°C • Cold clouds (e.g., cirrus) look mottled • Good for fire detection • Fog detection • Supercooled vs. ice clouds • Snow vs. cloud

  9. Fire Detection with Shortwave IR • Fires show up as “hot spots” • SoCal fire example

  10. Fog Detection • Emissivity of liquid water cloud at 3.9 μm is less than at longer wavelengths. • Fog shows up as lower temperatures • Appears brighter • Opposite true for ice crystals (cirrus)

  11. Fog Detection • Emissivity of liquid water cloud at 3.9 μm is less than at longer wavelengths. • Fog shows up at lower temperatures • Appears brighter • Differences can be maximized by taking the difference between the longwave and shortwave IR images

  12. Supercooled Cloud Detection • Supercooled cloud droplets frequently occur for -20°C < T < 0°C • Detection method • Identify cloud-top temperatures conducive for supercooled droplets using longwave IR • Just like fog/stratus droplets, supercooled droplets emit less radiation in shortwave IR

  13. Supercooled Example http://weather.msfc.nasa.gov/sport/goes_imager/goes_imager.html

  14. Snow vs. Cloud • During the day, low clouds will reflect more solar radiation than snow at 3.9 μm, so low clouds appear darker (more signal) than snow.

  15. Urban Heat Islands • Shortwave IR is more sensitive to emissions from warmer temperatures • Urban heat islands show up better

  16. Water Vapor Channel • Not an IR window • Does not see the ground (Exception) • Absorbed/emitted by water vapor • Colder temperatures imply: • More moisture in the mid and upper troposphere • Possible regions of ascent • Temperature differences important; not their magnitudes • Example

  17. Identifying Jet Streams • Jet Streams • Ribbons of quickly moving air near the tropopause • Separate air masses • Support active weather • Vis: Band of cirrus clouds on equatorward side • Vapor: Strong moisture gradient • Dry air poleward • Moist air equatorward

  18. Locating Ridges and Troughs • Upper tropospheric flow often contains a ridge/trough pattern • Clouds often occur downstream of troughs, but upstream of ridges • If ridge has small amplitude, clouds may “spill over” ridge • Cloud band ahead of trough often indicates “warm conveyor belt” immediately ahead of a surface cold front • Southern extent of solid band marks trough axis

  19. Water Vapor Examples • Eddies • Cyclone development • Occlusion stage 12 • Mountain waves • Java example • Current weather

  20. Many More Examples • CIMSS Satellite Blog

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