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Faculty of Physics and Earth Sciences Vertical thermodynamic phase distribution in convective clouds derived from cloud side observations Evelyn Jäkel.

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Presentation on theme: "Faculty of Physics and Earth Sciences Vertical thermodynamic phase distribution in convective clouds derived from cloud side observations Evelyn Jäkel."— Presentation transcript:

1 Faculty of Physics and Earth Sciences Vertical thermodynamic phase distribution in convective clouds derived from cloud side observations Evelyn Jäkel 1, Sandra Kanter 1,2, Manfred Wendisch 1, Florian Ewald 3, Tobias Kölling 3 1 Leipzig Institute for Meteorology (LIM) University of Leipzig, 2 Max Planck Institute for Chemistry Mainz, 3 Meteorological Institute, Ludwig-Maximilians-University Munich (LMU) EGU - General Assembly 2015 Vienna | Austria | 12 – 17 April 2015 e.jaekel@uni-leipzig.de

2 Faculty of Physics and Earth Sciences MotivationMethodExamples Conclusion Retrieval of particle size Thermodynamic phase Motivation Radiation energy budget

3 Faculty of Physics and Earth Sciences MotivationMethodExamples Conclusion Motivation Retrieval of particle size Thermodynamic phase Radiation energy budget Precipitation formation & lifetime after Rosenfeld and Woodley (2003) Coalescence Mixed-phase Ice Maritime Warm rainout

4 Faculty of Physics and Earth Sciences MotivationMethodExamples Conclusion Motivation Retrieval of particle size Thermodynamic phase Radiation energy budget Precipitation formation & lifetime after Rosenfeld and Woodley (2003) Diffusion Ice Maritime Continental Coalescence Mixed-phase C M I R I

5 Faculty of Physics and Earth Sciences MotivationMethodExamples Conclusion Motivation Retrieval of particle size Thermodynamic phase Radiation energy budget Precipitation formation & lifetime after Rosenfeld and Woodley (2003) Maritime Continental Polluted Diffusion Ice D C M C M R I I Mixed-phase

6 Faculty of Physics and Earth Sciences MotivationMethodExamples Conclusion Instrumentation & Method Imaging spectrometer (specMACS) 1312+320 spatial pixels in line 400 + 256 spectral pixels (VIS+NIR) Time Spatial Pixel 37°

7 Faculty of Physics and Earth Sciences MotivationMethodExamples Conclusion Instrumentation & Method Imaging spectrometer (specMACS) 1312+320 spatial pixels in line 400 + 256 spectral pixels (VIS+NIR) Time Spatial Pixel

8 Faculty of Physics and Earth Sciences Phase index derived from water and ice clouds based on 3D simulations Jäkel et al. 2013 Phase Index Phase Index: positive  ice negative  liquid water MotivationMethodExamples Conclusion Instrumentation & Method Jäkel et al. (2013)

9 Faculty of Physics and Earth Sciences Phase index depends on: particle size viewing geometry Jäkel et al. 2013 Phase Index: positive  ice negative  liquid water MotivationMethodExamples Conclusion Jäkel et al. (2013) Phase Index Instrumentation & Method

10 Faculty of Physics and Earth Sciences MotivationMethodExamples Conclusion Mixed-phase layer Simulations Instrumentation & Method Jäkel et al. (2013)

11 Faculty of Physics and Earth Sciences MotivationMethodExamples Conclusion Phase Index Profile Instrumentation & Method Continental Diffusion Coallesence Mixed-phase Ice T - r eff Profile vs.

12 Faculty of Physics and Earth Sciences MotivationMethodExamples Conclusion Phase Index Profile Instrumentation & Method Continental Diffusion Coallesence Mixed-phase Ice T - r eff Profile vs. Do we see an increase of the phase index in the measurements?

13 Faculty of Physics and Earth Sciences Examples MotivationMethodExamples Conclusion Vertical Pixel 16.53 16.54 16.55 16.56 UTC 1 Sept 2014

14 Faculty of Physics and Earth Sciences Examples 0.5 0.4 0.3 0.2 0.1 0.0 -0.1 -0.2 -0.3 -0.4 -0.5 Phase Index Liquid Ice MotivationMethodExamples Conclusion Vertical Pixel 16.53 16.54 16.55 16.56 UTC 1 Sept 2014 only ice phase

15 Faculty of Physics and Earth Sciences Exclude shadow regions! MotivationMethodExamples Conclusion Examples

16 Faculty of Physics and Earth Sciences significant fraction of diffuse radiation originated from unknown directions MotivationMethodExamples Conclusion Exclude shadow regions! Examples

17 Faculty of Physics and Earth Sciences Examples MotivationMethodExamples Conclusion 0.5 0.4 0.3 0.2 0.1 0.0 -0.1 -0.2 -0.3 -0.4 -0.5 Phase Index Liquid Ice 1 Sept 2014 Vertical Pixel 15.57 15.58 15.59 15.60 UTC only liquid phase

18 Faculty of Physics and Earth Sciences Examples MotivationMethodExamples Conclusion 1 Sept 2014 Vertical Pixel 17.46 17.47 17.48 UTC 0.5 0.4 0.3 0.2 0.1 0.0 -0.1 -0.2 -0.3 -0.4 -0.5 Phase Index Liquid Ice Ice / liquid / mixed-phase

19 Faculty of Physics and Earth Sciences Examples MotivationMethodExamples Conclusion 1 Sept 2014 Vertical Pixel 17.46 17.47 17.48 UTC 0.5 0.4 0.3 0.2 0.1 0.0 -0.1 -0.2 -0.3 -0.4 -0.5 Phase Index Liquid Ice Ice / liquid / mixed-phase

20 Faculty of Physics and Earth Sciences Examples MotivationMethodExamplesConclusion -0.10.00.10.2 0.30.4 Phase Index a -0.10.00.10.2 0.30.4 Phase Index 5. 5 km 7.6 km 11.7 km a b Ice / liquid / mixed-phase

21 Faculty of Physics and Earth Sciences Conclusion & Outlook Conclusion: Advantage of imaging technique Phase retrieval has proven to work Mixed-phase layer could be identified So far: no impact on pollution on vertical distribution of phase Outlook: Statistical evaluation / combining scenes Retrieval of effective radius profiles Advice for the future: stick on one cloud Ground-based measurements at ATTO (Amazonian Tall Tower Observatory) J. Lavric MotivationMethodExamplesConclusion

22 Faculty of Physics and Earth Sciences Extra

23 Faculty of Physics and Earth Sciences Examples Height determination Image correction (roll, pitch, camera distortion) Stereogrammetry FOVh = 91° FOVv = 59° Image 1Image 2 MotivationMethodExamplesOutlook

24 Faculty of Physics and Earth Sciences Examples MotivationMethodExamplesOutlook 0.5 0.4 0.3 0.2 0.1 0.0 -0.1 -0.2 -0.3 -0.4 -0.5 Phase Index Liquid Ice „Polluted case“

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