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Cloud Screening and Classification in Satellite Imagery

Cloud Screening and Classification in Satellite Imagery. Shona Mackie PhD student, University of Edinburgh CASE studentship: Met Office, U.K. Supervisor: Chris Merchant. Clouds are important!. Weather and climate Energy budget Temperature Precipitation. Height Optical thickness

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Cloud Screening and Classification in Satellite Imagery

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  1. Cloud Screening and Classification in Satellite Imagery Shona Mackie PhD student, University of Edinburgh CASE studentship: Met Office, U.K. Supervisor: Chris Merchant

  2. Clouds are important! • Weather and climate • Energy budget • Temperature • Precipitation • Height • Optical thickness • Diurnal variation www.larc.nasa.gov/SCOOL/cloudeffects.jpg

  3. Weather Forecasting • Numerical Forecast • Cloud treatment not perfect • Spatial and temporal • Sub-grid parameterisation • Satellite Imagery • Visual inspection • amendments • Automated assimilation

  4. Overall Aim • Bayesian Cloud Classification (Chris Old) • Physically based • Flexible • Expand • To land • To cloud types

  5. Current state of project • Problems • Ocean fronts • Coastline • Land • Clustering

  6. General Method • Small area of one image scene • Cloud detection on clusters • Classification?

  7. PLAN Clustering to aid detection Expand technique to land Expand to cloud types (low, medium, high) Expand to refined cloud types Implement method at the MET Office

  8. The End

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