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A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

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Page 1: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System

as seen by Satellite

Ralf BennartzUniversity of Wisconsin – Madison

Page 2: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Outline

• What do we want to know?

• Cloud microphysical parameters

• Cloud fraction and albedo

• Conclusions and outlook

Page 3: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Clouds are the single-most important factor modulating climate sensitivity…..

… and we know very little about forcings and feedbacks

IPCC 2007

Page 4: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

IPCC 2007

21 climate models- one scenario

Page 5: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

How can observations help narrow down these uncertainties?

Page 6: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

What do we need to know?

• Cloud droplet number concentration (N)

• Liquid water path (LWP)

• Drizzle/rain? Rain water path (RWP)

• Cloud fraction

• Albedo

Page 7: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

(Sub) adiabatic stratiform clouds

LWC

Page 8: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

• LWP from VIS/NIR: Factor f depends on stratification of cloud (e.g. f=5/9 for adiabatic, f=2/3 for vertically uniform)

• N for an adiabatic cloud related to optical depth and LWP. C depends weakly on temperature and width of droplet spectrum

Basic physical relations

Page 9: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

• LWP from VIS/NIR: Factor f depends on stratification of cloud (e.g. f=5/9 for adiabatic, f=2/3 for vertically uniform)

• N for an adiabatic cloud related to optical depth and LWP. C depends weakly on temperature and width of droplet spectrum

• MW: Very direct measurement. Mass absorption coefficient depends slightly on temperature, σr depends on rain water content too.

Basic physical relations

Page 10: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Basic physical relations

Bennartz et al. (2010)

Page 11: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Basic physical relations

Bennartz et al. (2010)

Page 12: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Three input variables (τVIS reff τMW)

Three output variables (N,LWP,RWP)

Basic physical relations

Page 13: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Three input variables (τVIS reff τMW)

Three output variables (N,LWP,RWP)

Auxiliary data, assumptions:

• Cloud top height• Cloud top temperature• Drizzle/rain particle size distribution• Width of cloud droplet spectrum

Basic physical relations

Page 14: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

• Direct physical relationship between MW/VNIR optical properties and cloud physical properties.

• Errors and uncertainties due to input and auxiliary parameters can be specified and dependencies can be explicitly spelled out.

• Validity of assumptions can be assessed from observations.

• No unknown unknowns (though a lot of known unknowns).

Basic physical relations

Page 15: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Bennartz et al. (2010), Bennartz (2007), Rausch et al. (2010)

Products

Page 16: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Cloud droplet number concentration

Page 17: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Cloud droplet number concentration

Page 18: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Cloud droplet number concentration

Bennartz et al. (2011)

Page 19: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Cloud droplet number concentration

Bennartz et al. (2011)

Page 20: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Application example: Constraining cloud-aerosol interaction processes in GCMs

Storelvmo, Lohmann, Bennartz (2009)

Differences in cloud droplet activation account for about 65 % (1.3 W/m2) of the total spread in shortwave forcing (2 W/m2) in IPCC AR4 models

Page 21: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

• Deviations from adiabaticity valid ‘targets’ can be identified by checking multi-spectral agreement of reff with adiabatic assumption.

Open issues & proposed solutions

Page 22: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Effective Radius

Page 23: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

• Deviations from adiabaticity valid ‘targets’ can be identified by checking multi-spectral agreement of reff with adiabatic assumption.

Open issues & proposed solutions

Page 24: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

• Deviations from adiabaticity valid ‘targets’ can be identified by checking multi-spectral agreement of reff with adiabatic assumption.

• Physical explanation for differences in reff still outstanding: partly cloudy pixels, subscale variability, rain, 3D…. Probably all of them to some extend

Open issues & proposed solutions

Page 25: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Validating models: LWP observations against iRAM

Lauer et al. (2009)

Page 26: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Special Sensor Microwave/Imager

Page 27: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Liquid Water Path [kg/m2]

Local Time [hours]

Page 28: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Liquid Water Path [kg/m2]

Local Time [hours]

Page 29: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Liquid Water Path [kg/m2]

Local Time [hours]

Page 30: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Liquid Water Path [kg/m2]

Local Time [hours]

Page 31: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Liquid Water Path [kg/m2]

Local Time [hours]

Page 32: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Conclusions

• Satellite observations provide a wealth of information about cloud microphysical and radiative properties.

• Simple physically-based cloud models provide an excellent framework to interpret satellite observations and brigde gap between observations and GCMs

• Caveats, uncertainties, and the limits of our current understanding need to be conveyed.

• Working closely with GCM/RCM community.

Page 33: A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison

Acknowledgements

Collaborations: A. Lauer (U Hawaii), T. Storelvmo (Yale), U. Lohmann (ETH), J. Rausch (UW-AOS), L. Borg, (UW-AOS), A. Heidinger, (NOAA), M. Foster (CIMSS), R. Leung (PNNL), J. Fan (PNNL), C. O’Dell (CSU), R. Wood (UW)

Funding: NASA MODIS Science Team, NOAA/Joint Center for Satellite Data Assimilation, DOE Regional Climate Modeling