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Towards the operational cloud classification in Finland. Otto Hyvärinen COST 722 Expert Meeting, Helsinki, 9 June 2004. Contents. Cloud classification work with NOAA/AVHRR in FMI in Nowcasting SAF (PPS) Problems Future plans. FMI approach to cloud classification with NOAA/AVHRR.

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towards the operational cloud classification in finland
Towards the operational cloud classificationin Finland

Otto Hyvärinen

COST 722 Expert Meeting, Helsinki, 9 June 2004

contents
Contents
  • Cloud classification work with NOAA/AVHRR
    • in FMI
    • in Nowcasting SAF (PPS)
  • Problems
  • Future plans
fmi approach to cloud classification with noaa avhrr
FMI approach to cloud classification with NOAA/AVHRR
  • The statistical pattern recognition approach
    • Collect a lot of training data
    • Approximate posterior probabilities with neural networks
    • Use a principled way of handling the uncertainty
  • No physics, only data!
    • Different models for day, night and twilight
  • Unfortunately, the development has stalled...
nowcasting saf approach with noaa avhrr
Nowcasting SAF approachwith NOAA/AVHRR
  • Developed mostly in SMHI
  • Traditional thresholding
    • Thresholds computed with the help of the radiative transfer models (RTTOV)
  • Uncertainty handled more ad hoc
an example from 8 june 2004 06 20 utc
An example from 8 June 2004, 06:20 UTC

Cloud Mask

Cloud Classification

how do they compare
How do they compare?
  • Comparison against SYNOP observations of total cloudiness

All stations

Stations from "the training area"

problems
Problems?
  • Common problems
    • Twilight!
    • AVHRR
  • FMI problems
    • no physics  should explore RTMs
  • Nowcasting SAF problems
    • bad decision making methods  should explore pattern recognition methods
towards future
Towards future
  • Is Nowcasting SAF method for AVHRR "good enough" for us?
  • From AVHRR to MODIS, VIIRS, etc
    • how to make this as least painful as possible?
    • SEVIRI, how useful is it in Finland, really?
  • From the satellite cloud classification to the cloud analysis
    • how to combine remote sensing and in-situ observations with the model data to real 3D analysis of clouds, fog, and visibility?