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Matthew Shupe Von Walden Ed Eloranta Taneil Uttal James Campbell Masataka Shiobara

Cloud Occurrence and Phase at Arctic Atmospheric Observatories: Further progress towards understanding Arctic clouds. Matthew Shupe Von Walden Ed Eloranta Taneil Uttal James Campbell Masataka Shiobara Sandy Starkweather. AMS Polar Met. & Ocean. 2009 Madison, WI. Observatories.

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Matthew Shupe Von Walden Ed Eloranta Taneil Uttal James Campbell Masataka Shiobara

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  1. Cloud Occurrence and Phase at Arctic Atmospheric Observatories: Further progress towards understanding Arctic clouds Matthew Shupe Von Walden Ed Eloranta Taneil Uttal James Campbell Masataka Shiobara Sandy Starkweather AMS Polar Met. & Ocean. 2009 Madison, WI

  2. Observatories

  3. Methods and Details • “What is a Cloud?” It depends on your perspective and objective • Clouds identified using thresholds for each sensor that aim to distinguish cloudy from clear sky signals. • Different sensors at each site impact the results • Phase classification requires radar, lidar, mwr, and radiosonde (only available at 3 sites)

  4. Cloud Occurrence Fraction

  5. Variability in time and space

  6. Cloud “Phase” Type Fraction Barrow SHEBA Eureka All (black) Ice (blue) Mixed-Phase (orange) Liquid (red) Liquid present (red dash)

  7. Vertical Distribution

  8. Diurnal Cycle ANOMALY [%]

  9. Cloud Occurrence Fraction Cloud Fraction Anomaly [%]

  10. Cloud “Persistence”

  11. Phase vs. Temperature

  12. To Conclude • Detailed perspective from the surface complements satellite climatologies and in situ campaigns. • Results are appropriate for model evaluation and comparisons with satellite retrievals. • Need more observations to better establish baselines and to detect change. • Needs: E. Arctic, over the sea-ice, longer records. • Much of data used in this analysis is available at CADIS archive (www.eol.ucar.edu/projects/aon-cadis)

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