1 / 13

Understanding Arctic Clouds: Observatories Study Cloud Occurrence and Phases

Explore the progress in Arctic cloud research through observatories. Learn about cloud identification methods, phase classification, diurnal cycles, and cloud persistence. Gain insights crucial for model evaluation and comparisons with satellite data. Access the data at CADIS archive.

lyre
Download Presentation

Understanding Arctic Clouds: Observatories Study Cloud Occurrence and Phases

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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)

More Related