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Breakout sessing „The liquid people “ Summary about Prior datasets for

Breakout sessing „The liquid people “ Summary about Prior datasets for liquid clouds / precipitation retrievals. Prior datasets for liquid clouds besides Z=a LWC b relationships Challenges : Classification of clouds before applying conditional retrieval ?

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Breakout sessing „The liquid people “ Summary about Prior datasets for

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  1. Breakoutsessing „The liquid people“ Summary about Prior datasetsfor liquid clouds/precipitationretrievals

  2. Prior datasetsfor liquid cloudsbesides Z=a LWCbrelationships Challenges: Classificationofcloudsbeforeapplyingconditionalretrieval? Difficultytodeterminewhetheror not precipitatingcloud (dBZthreshold?) Degreeofturbulence, entrainmentatcloud top, mixingwithincloud? Degreesoffreedomdeterminedbymodelcomplexity DSD byaircraftobservationsoften a meanover a longdistance Skewnessofdopplerspectrumdeterminesclouddroplet/drizzlerelation

  3. Prior datasetsfor liquid cloudsbesides Z=a LWCbrelationships Variabilityof a and b withinonecloud? Can a and b beadjusted? Meanprofile? spatialdistributionofdroplets? no uniform distribution, bigimpactofscattering conditionalsamplingof DSD Melpitzcampaignwith ACTOS in September 2013 calculatedreflectivityfrom in-situ probes (ACTOS) comparedtoreflectivityfromcloudradar

  4. Prior datasetsfor liquid cloudsbesides Z=a LWCbrelationships Datasets available? in situ: towers, aircrafts Ballooncampaign -> verticaldistribution Dual wavelengthradar -> LWC directly, howeververy sensitive toanyothererrors, e.g. pointing (beam matching), smalldifferences in reflectivityhavetobedetected. Availableat ARM, Chilbolton! LES model (Cabauwcontinuouslyrunningfor 1.5 years) LES outputasconstraintforretrievals

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