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Aviation and Marine Applications

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Turbulence-Generating Mechanisms. Shear instability along jet and upper fronts ... Extreme turbulence possible downwind from convection. Pilot Reports - 4 Feb ... – PowerPoint PPT presentation

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Title: Aviation and Marine Applications


1
Aviation and Marine Applications
  • COMET Satellite Meteorology
  • Gary Ellrod (NOAA/NESDIS)
  • Camp Springs, Maryland

SatMet 99-2 Thursday, 29 April 1999
2
Aviation/Marine Outline
  • Aviation
  • Stratus and fog
  • Aircraft icing
  • Jet streams / Clear Air Turbulence (CAT)
  • Mountain waves
  • Microbursts / gust fronts
  • Marine
  • Sea fog
  • Oceanic convection
  • Surface winds / cyclones

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Is it fog or Sc/Ac?
  • Fog looks smoother
  • Sc/Ac is mottled
  • Fog is brighter (if depth equal)
  • Fog has distinct edges
  • Higher clouds may have shadows
  • Fog is warmer in CH4 IR (10.7 mm)
  • Fog moves/develops more slowly

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Resolution vs Fog Detection
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Meteorological Factors Conducive to Icing
  • Temperature (0 to -20C)
  • Liquid Phase (supercooled droplets)
  • Large drop sizes (gt50 mm)
  • High Liquid Water Content (gt0.25 gm-3)
  • Weak vertical motion (1 mbar s-1)
  • Embedded convection
  • Large areal extent

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GOES Channels Useful in Icing Detection
  • Visible (0.6 mm)
  • Thickness, coverage, phase, convection
  • IR2 (3.9 mm)
  • Cloud phase, drop size
  • IR4 (10.7 mm)
  • Cloud top temperatures, thickness, coverage
  • IR5 (12.0 mm)
  • Thin cirrus detection

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GOES Icing Risk Product
  • Multiple channel screening technique
  • Product available hourly day and night
  • Strengths
  • High POD (70), low FAR
  • Good spatial, temporal coverage
  • Weaknesses
  • Obscuration by high clouds
  • No data 2 hr after sunrise / before sunset

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Turbulence-Generating Mechanisms
  • Shear instability along jet and upper fronts
  • Flow over obstacles
  • Mountains
  • Thunderstorms
  • Convection (thunderstorms, dry thermals)
  • Low level mechanical (strong winds over rough
    terrain)
  • Wake turbulence from other aircraft

17
Detection of Turbulence Using Satellite Imagery
  • Clear Air Turbulence (CAT)
  • Water vapor imagery (8 km)
  • Subsidence warming with time along fronts
  • Infrared (4 km)
  • Transverse cirrus cloud bands
  • Deformation zone cloud boundaries
  • Visible (1 km)
  • Billow wave clouds (K-H instability)
  • Mountain waves
  • Transverse cloud bands (IR/Vis)
  • Lee-of-mountain cirrus with lee gap (IR/WV)

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Extreme Turbulence Scenario
  • Environmental conditions
  • Strong jet intersects
  • Cold front with
  • Low top convection
  • Extreme turbulence possible downwind from
    convection

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Pilot Reports - 4 Feb 99/15-18Z
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Microburst/Downburst Detection with GOES
  • Leading Edge (IR) Gradients (LEG) - mirrors
    WSR-88D reflectivity gradients
  • Anvil warming to rear of storm (IR) - evidence of
    rear inflow jet
  • Extensive clouds to rear of gust fronts
  • Rapid storm motion
  • GOES Sounder products
  • WIND Index (WINDEX)
  • Dry Microburst Potential (DMPI)
  • Max. Theta-e Difference (Sfc-300mb)

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Hazards of Volcanic Ash
  • Reduced engine performance, possible stalls
  • Abrasion, pitting of leading edges
  • Electrical discharges (St. Elmos fire)
  • Ash difficult for pilots to see at night
  • Volcanoes in remote areas (North Pacific) where
    few alternate airfields available
  • Height/depth of ash difficult to determine

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Smoke as an Aviation Hazard
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Marine Applications
  • Sea fog
  • Oceanic convection
  • Cyclones
  • Strong wind zones
  • Quantitative surface wind data

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Cloud Streets/ Open Cell Convection
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Gulf Stream Convection
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Strong Wind Zones in Oceanic Cyclones
  • Indicators of Rapid Cyclogenesis
  • Cloud pattern evolution (leaf to 360o comma in lt
    18 hours)
  • Strong dry slot subsidence (warming in WV)
  • Mesoscale Cloud Features
  • Closely spaced cloud streets
  • Open cell convection / arc lines
  • Ring Cloud feature at storm center
  • Hooking or sharply-tapered comma head

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Ring Cloud Thermal Structure
Nieman, et al., 1993
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Ocean Surface Winds from Satellite Data
  • IR/Visible Cloud Drift (cloud base motion)
  • Passive microwave (SSM/I, AMSU)
  • 16v GHz, 22v GHz, 37vh GHz
  • Valid at 20 m height upper limit 25 m/sec
  • Scatterometer radar (ERS-2)
  • Correlates backscattered energy to surface wind
    direction and speed
  • Valid at 10 m height

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ERS-2 Scatterometer Swaths
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