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Evaluation of cirrus microphysics in CAM5 using aircraft data. C. Bardeen, A. Gettelman , E. Jensen ATTREX Science Team Meeting October 24, 2013. Ice Water Path. Bardeen et al., [2013]. IWP: Tropical Bias. Global Tropics. IWP: Tropics, JF. Cloud Fraction & Ice Water Content. IWC Bias.
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Evaluation of cirrus microphysics in CAM5 using aircraft data C. Bardeen, A. Gettelman, E. Jensen ATTREX Science Team Meeting October 24, 2013
Ice Water Path Bardeen et al., [2013]
IWP: Tropical Bias Global Tropics
IWC Bias Low Z, High IWC: 2C-ICE > DARDAR High Z, Low IWC: DARDAR > 2C-ICE
SPartICus Deng et al., [2012]
SD-CAM: Tropical T, H2O, RH CAM5 relative humidity too high
Clear Sky: RH vs T Krämer et al., [2009] ATTREX 1 & 2 Don’t see higher frequencies of RH > 100% when T < 190 K like Krämer et al. [2009]
Cloudy: RH vs T Krämer et al., [2009] ATTREX 1 & 2 Don’t see as much higher frequencies of RH > 100% when T < 190 K like Krämer et al. [2009].
Cloud N & Re vs T Krämer et al., [2009] ATTREX 1 & 2
Subgrid Scale Clouds • Cloud Fraction • Wilson & Ballard [1999] • CF α ice mass • Subgrid Saturation • Nucleation • Growth • Siceα 1/CF Many clouds should fill the gridbox, but never get CF = 1.0 in model
Model: RH vs T ATTREX 1 & 2 CAM/CARMA Clear GridboxAvg Cloudy
Model: In-Cloud N & Re vs T ATTREX 1 & 2 CAM/CARMA Concentration much lower and effective radius too big
Summary • Significant difference between DARDAR and 2C-ICE IWP, but clear tropical bias in the models • Relative humidity too high in CAM5 • ATTREX RHvsT looks like Krämer et al., but not as high at low T • Model low in ice concentration and high in effective radius • How to deal with subgrid scale clouds: saturation, cloud fraction, …?