Stefan kneifel heike kalesse pavlos kollias mcgill frederic tridon univ leicester ed luke bnl
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Stefan Kneifel , Heike Kalesse , Pavlos Kollias - McGill Frederic Tridon – Univ. Leicester PowerPoint PPT Presentation


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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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Stefan Kneifel , Heike Kalesse , Pavlos Kollias - McGill Frederic Tridon – Univ. Leicester

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Stefan kneifel heike kalesse pavlos kollias mcgill frederic tridon univ leicester ed luke bnl

Multi-wavelength Doppler Spectra

A newavenuetoexplorecloudmicrophysics?

Stefan Kneifel, Heike Kalesse, PavlosKollias- McGill

Frederic Tridon – Univ. Leicester

Ed Luke - BNL


Stefan kneifel heike kalesse pavlos kollias mcgill frederic tridon univ leicester

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


Stefan kneifel heike kalesse pavlos kollias mcgill frederic tridon univ leicester

Exampleforobservationalfingerprints: Riming

[email protected]: Ze

Doppler vel.

Iceandsnow

LidarBackscatter:

Clear Indicatorof

2 liquid waterlayers

Cloud

droplets

Rimed


Let s start discussing

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?)


Backup

Backup


Example for process fingerprints aggregation

ExampleforProcess Fingerprints: Aggregation

Non-precipitatingthickicecloud at NSA

Ze – W band

Ze – Ka band

„Standard“ DWR

DWR indicates larger characteristicsize, but do wereallyseeaggregates?


Example for process fingerprints aggregation1

ExampleforProcess Fingerprints: Aggregation

NSA - KaZR

NSA - WSACR

Slowerfallingice

Slowerfallingice

Fasterfallingaggregates

Fasterfallingaggregates


Example for process fingerprints aggregation2

ExampleforProcess Fingerprints: Aggregation

NSA - KaZR

NSA - WSACR

Slowerfallingice

Slowerfallingice

Fasterfallingaggregates

Fasterfallingaggregates


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