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RGB Applications for Cloud Microphysical Analysis in NinJo

RGB Applications for Cloud Microphysical Analysis in NinJo. Victor Chung SAAWSO Project Workshop April 22-24, 2013 National Lab for Nowcasting and Remote Sensing Meteorology MSC Ontario Environment Canada. Objective.

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RGB Applications for Cloud Microphysical Analysis in NinJo

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  1. RGB Applications for Cloud Microphysical Analysis in NinJo Victor Chung SAAWSO Project Workshop April 22-24, 2013 National Lab for Nowcasting and Remote Sensing Meteorology MSC Ontario Environment Canada

  2. Objective To demonstrate how to use RGB imageries in NinJo to perform daytime cloud microphysical analysis

  3. Why do we need RGB? ...because you can see more with an RGB.....

  4. Role of 3.9 µm in RGB http://www.meted.ucar.edu/satmet/goeschan/print/6_2_4_3.htm

  5. The microphysics RGB in NinJo Microphysics (day) [0.67, 3.7-10.7, 10.7i]

  6. RGB examples to differentiate between water and ice clouds

  7. Color enhanced imagery at 10.7 µm. A B F D C E

  8. Color enhanced imagery at 3.7 µm A B F D C E

  9. Let us look at cloud masses A, D, E, and B

  10. Cloud mass AAppearance in channel 10.7 and 3.7 µm 10.7µm Cloud mass A cold at IR but quite warm at NIR  super-cooled water droplets T_10.7: -23 to -29 C 3.7 µm T_3.9: 12 to 20 C

  11. Cloud mass AAppearance in RGB RGB Super-cooled water droplets

  12. Cloud mass D & EAppearance in 10.7 and 3.7 µm 10.7 µm D: cold at IR, warm at NIR  Super-cooled droplets E: cold at IR, cold at NIR  Ice particles D (-20 to -25 C) E (-20 to -25 C) 3.7 µm D (~15 C) E (-13 to -15 C)

  13. Histogram Plots for 10.7 and 3.7 µm Channels for a Line Across Cloud Masses D and E 3.9 µm (NIR) 10.7 µm (IR) Small temperature Range at IR Two distinct peak at NIR Ice Water

  14. Cloud masses D & EAppearance in RGB E: ice RGB D E D: super-cooled water

  15. Let us look at cloud mass B evolution from 19 to 21z

  16. Cloud mass B evolution from 19 to 21Z(at 19Z) Ice or water? 10.7 µm 3.7 µm It is water! 0.65 µm RGB2

  17. Scatter Plots of 3.7 versus 10.7 µm Channels for an Area over Cloud Mass B at 19Z IR  well below freezing NIR  warm  water Conclusion: super-cooled cloud droplets

  18. Histogram Plots for 10.7 and 3.7 µm Channels for an Area over Cloud Mass B at 19Z 10.7 µ 3.7 µm

  19. Cloud mass B at 20Z Ice nucleation is underway! 10.7 µm (IR) 3.7 µm (NIR) 0.65 µm RGB

  20. Scatter Plots of 3.7 vs 10.7 µm Channels for an Areaover Cloud Mass B at 20Z Large NIR spread Ice nucleation in process (water drops + ice crystals) Small IR spread

  21. Histogram Plots for 10.7 and 3.7 µm Channels for an Areaover Cloud Mass B at 20Z 3.7 µm 10.7 µm

  22. Cloud mass B at 21Z Clouds consists of mainly ice crystals 10.7 µm 3.7 µm 0.65 µm RGB

  23. Scatter Plots of 3.7 vs 10.7 µm Channels for an Areaover Cloud Mass B at 21Z More pixels with NIR temperature shift to The colder side

  24. Histogram Plots for 10.7 and 3.7 µm Channels for an Areaover Cloud Mass B at 21Z 10.7 µm 3.7 µm

  25. Conclusion • The special characteristics of the 3.7 um allows us to create a useful RGB for cloud microphysical analysis • Several examples have been used to demonstrate how to use this RGB operationally to differentiate between water and ice clouds • This RGB can be applied for summer storm analysis, for example ice nucleation and lightning • This RGB can be used in conjunction with other icing products for better cloud icing detection Ice Water

  26. Thank You! Questions?

  27. Outline --- this slide will not be shown Objective • To demonstrate how to perform cloud microphysical analysis using RGB imageries in NinJo Introduction Opener • With RGB imagery, you can see things that can not be seen with a single channel imagery • Characteristics of 3.9 um and its role on RGB imagery Topic - Use of RGB in NinJo for cloud microphysics analysis Thesis (idea convey) • RGB imagery helps forecasters to monitoring cloud microphysical properties • Good microphysical analysis helps detecting icing, and convective storm analysis The Body • A list of examples for cloud microphysical analysis Conclusion Restate the thesis - RGB should be used more for cloud top microphysical analysis to improve our weather monitoring capability Action for future works • Real-time applications for summer and winter storms • Use in conjunction with icing product

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