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Multi- wavelength Doppler Spectra A new avenue to explore cloud microphysics ?. Stefan Kneifel , Heike Kalesse , Pavlos Kollias - McGill Frederic Tridon – Univ. Leicester Ed Luke - BNL. Forward operator (radar) Full Doppler Spectrum Multi-frequency Polarization (spectral !).
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Multi-wavelength Doppler Spectra A newavenuetoexplorecloudmicrophysics? Stefan Kneifel, Heike Kalesse, PavlosKollias- McGill Frederic Tridon – Univ. Leicester Ed Luke - BNL
Forward operator (radar) • Full Doppler Spectrum • Multi-frequency • Polarization (spectral !) Physical understanding of abs./scattering properties (some better, some worse) FocusedObservations • Identifyspecificprocessesin observationaldatasets • Aggregation • Riming • Meltingsnow • …. • => ourbestwecan do withcurrentradartechnology Microphysical Models • Depositional Growth • Aggregation • Riming • …. • => ourbesttheoreticalunderstanding/implementationofprocesses Microphysical Fingerprint Multi-Doppler Fingerprint
Exampleforobservationalfingerprints: Riming KaZR@NSA: Ze Doppler vel. Iceandsnow LidarBackscatter: Clear Indicatorof 2 liquid waterlayers Cloud droplets Rimed
Let‘sstartdiscussing… • Today‘scloudradartechnology SHOWS signaturesofmicrophysics • Howmuchinformationcanweextract? • Howcanweensuretolook at processesand not advection? • Howcanweidentifyobservationsclearlyrelatedto a specificprocess (riming, aggregation, breakup, …) • Whatmodelstudies do weneedtorepresenttheseprocesses in themodelworld (1D-bin modelenough, LES, others?)
ExampleforProcess Fingerprints: Aggregation Non-precipitatingthickicecloud at NSA Ze – W band Ze – Ka band „Standard“ DWR DWR indicates larger characteristicsize, but do wereallyseeaggregates?
ExampleforProcess Fingerprints: Aggregation NSA - KaZR NSA - WSACR Slowerfallingice Slowerfallingice Fasterfallingaggregates Fasterfallingaggregates
ExampleforProcess Fingerprints: Aggregation NSA - KaZR NSA - WSACR Slowerfallingice Slowerfallingice Fasterfallingaggregates Fasterfallingaggregates