floating frozen particle orientation inferred from global...

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Floating Frozen Particle Orientation Inferred from Global Precipitation Measurement Microwave Imager (GMI) and Compact Scanning Submillimeter-wave Imaging Radiometer (CoSSIR) Polarimetric Measurements Jie Gong 1,2 , Dong L. Wu 2 1. Universities Space Research Association, Columbia, MD, USA 2. NASA Goddard Space Flight Center, Greenbelt, MD, USA IPWG/IWSSM Workshop 1. Motivation v Cloud processes play an instrumental role in determining the surface precipitation characteristics, but cloud ice processes are among the least understood. v Retrieving frozen particle microphysical properties has been a great challenge for spaceborne remote sensing, especially for passive sensors. It depends not only on macrophysical variables (e.g., column integrated mass amount, particle size distribution, etc.), but also on frozen particle shape and orientation. v To infer frozen particle shape and orientation properties, polarimetric measurements from high frequency microwave (MW) channels (> 89 GHz) are needed. Global Precipitation Measurement Microwave Imager (GMI)’s 89 and 166 GHz polarimetric measurements provide us an unprecedented opportunity to investigate these properties on a global basis. 2. Data and Methodology v GMI is a conical-scanningmicrowave radiometer. The Polarimetric Differences (PDs), defined as Brightness Temperature (TB) difference between vertically and horizontally polarized channel pairs (i.e., TB v - TB H ), are calculated for 89 and 166 GHz. v Compact Scanning Submillimeter-wave Imaging Radiometer (CoSSIR) flown in the TC4 campaign had a 640 GHz (V,H) channel pair, which is only sensitive to cloud ice cloud. CoSSIR shared the same viewing geometry with GMI. 3. Universal Bell-curve PD-TB Relationship 5. RTM Simulations Support the Assumption 4. A Conceptual Two-layer Model 6. Conclusions v Publication: Gong, J. and Wu, D. L.: Microphysical Properties of Frozen Particles Inferred from Global Precipitation Measurement (GPM) Microwave Imager (GMI) Polarimetric Measurements, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-787, 2016. v Acknowledgement: this work and the author’s travel are supported by NASA’s NNH12ZDA001N-INVEST fund. Fig. 2: Joint Probability Density Functions (PDFs) of PD - TB V statistics from the [0°, 10°N] latitude bin for the July, 2014 - 2015 climatology. Fig. 1: A squall line case (April 29, 2014) over Southern U.S. shows that PD is small inside and away from the deep convective cores, while it is the largest at the anvil/stratiform precipitation region. Fig. 3: Bell-curve PD - TB relationship holds across different latitudes, surface conditions and frequencies. v Under cloudy-sky conditions, the PD – TB relationship follows a bottom-up bell curve that is robust across different latitudes, surface conditions and frequencies. The largest PD amplitude is independent of frequency (~ 10 K). v Assuming all ice crystals are horizontally aligned, and V- and H- pol extinctions are dominated by scattering, naturally V- and H-pol radiances pass through the same cloud with slightly different optical depths (τ V and τ H ). At large τ , eventually TB saturates at the same τ. v We can calculate that PD has a maximum of " $ &’ ( &)*+’ ( at ln /( − 1) , where the Aspect Ratio AR ≡ 9 / : . The maximum amplitude is only weakly dependent on frequency. Fig. 4: Schematic two-layer model with a liquid/rain/surface layer at T 1 and ice cloud layer at T 2 to explain the observed bell curve in the PD-TB relationship. Fig. 5: AR between 1.2 and 1.4 (black) best simulates the observed PD - TB relationships (red curves, pink indicating the standard deviation, clear-sky removed). v Frozen Particles are dominantly horizontally aligned. v Cylindrical Column (Fig. 6b) with AR = 1.46 for <= = 250 matches the observations the best. Fig. 6: Maximum of PD - TB curve at 640 GHz is sensitive to ice habitat (diff. panel) and particle size (diff color) as well. v A universal PD - TB relationship has been identified from GMI’s 89 and 166 GHz, and CoSSIR’s 640 GHz polarimetric measurements. Such a relationship is nearly independent of channel frequency, latitude and surface conditions, always peaking at ~ PD = 10 K at TB = 200 - 220 K. v By assuming all frozen particles are horizontally aligned, we can explain the observed PD - TB relationships using the Aspect Ratio (AR) factor. This factor best reproduces the observation at AR ~ 1.3. v Tumbling and mixing inside the deep convective core (i.e., random orientation) provides another plausible explanation, while stable airflow inside anvils and stratiform precipitation regions foster the horizontal alignment of non-spherical particles, resulting the largest PD signal. v Part of the PD signal comes from the stratiform precipitation, especially for 89 GHz. But floating ice and snow dominate the PD signal (not shown).

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Page 1: Floating Frozen Particle Orientation Inferred from Global ...ipwg/meetings/bologna-2016/Bologna2016_Posters… · Imaging Radiometer (CoSSIR) Polarimetric Measurements Jie Gong1,2,

FloatingFrozenParticleOrientationInferredfromGlobalPrecipitationMeasurementMicrowaveImager(GMI)andCompactScanningSubmillimeter-wave

ImagingRadiometer(CoSSIR)Polarimetric MeasurementsJieGong1,2,DongL.Wu2

1.UniversitiesSpaceResearchAssociation,Columbia,MD,USA2.NASAGoddardSpaceFlightCenter,Greenbelt,MD,USA

IPWG/IWSSMWorkshop

1. Motivationv Cloudprocessesplayaninstrumentalroleindetermining

thesurfaceprecipitationcharacteristics,butcloudiceprocessesareamongtheleastunderstood.

v Retrievingfrozenparticlemicrophysicalpropertieshasbeenagreatchallengeforspaceborne remotesensing,especiallyforpassivesensors.Itdependsnotonlyonmacrophysical variables(e.g.,columnintegratedmassamount,particlesizedistribution,etc.),butalsoonfrozenparticleshapeandorientation.

v Toinferfrozenparticleshapeandorientationproperties,polarimetric measurementsfromhighfrequencymicrowave(MW)channels(>89GHz)areneeded.GlobalPrecipitationMeasurementMicrowaveImager(GMI)’s89and166GHzpolarimetric measurementsprovideusanunprecedentedopportunitytoinvestigatethesepropertiesonaglobalbasis.

2.DataandMethodologyv GMIisaconical-scanningmicrowaveradiometer.The

Polarimetric Differences(PDs),definedasBrightnessTemperature(TB)differencebetweenverticallyandhorizontallypolarizedchannelpairs(i.e.,TBv - TBH),arecalculatedfor89and166GHz.

v CompactScanningSubmillimeter-waveImagingRadiometer(CoSSIR)flownintheTC4campaignhada640GHz(V,H)channelpair,whichisonlysensitivetocloudicecloud.CoSSIR sharedthesameviewinggeometrywithGMI.

3.UniversalBell-curvePD-TBRelationship 5.RTMSimulationsSupporttheAssumption

4.AConceptualTwo-layerModel 6.Conclusions

v Publication:Gong,J.andWu,D.L.:MicrophysicalPropertiesofFrozenParticlesInferredfromGlobalPrecipitationMeasurement(GPM)MicrowaveImager(GMI)Polarimetric Measurements,Atmos.Chem.Phys.Discuss.,doi:10.5194/acp-2016-787,2016.v Acknowledgement:thisworkandtheauthor’stravelaresupportedbyNASA’s

NNH12ZDA001N-INVESTfund.

Fig.2:JointProbabilityDensityFunctions(PDFs)ofPD- TBV statisticsfromthe[0°,10°N]latitudebinfortheJuly,2014- 2015climatology.

Fig.1:Asqualllinecase(April29,2014)overSouthernU.S.showsthatPDissmallinsideandawayfromthedeepconvectivecores,whileitisthelargestattheanvil/stratiformprecipitationregion.

Fig.3:Bell-curvePD- TBrelationshipholdsacrossdifferentlatitudes,surfaceconditionsandfrequencies.

v Undercloudy-skyconditions,thePD– TBrelationshipfollowsabottom-upbellcurvethatisrobustacrossdifferentlatitudes,surfaceconditionsandfrequencies.ThelargestPDamplitudeisindependentoffrequency(~10K).

v Assumingallicecrystalsarehorizontallyaligned,andV- andH- polextinctionsaredominatedbyscattering,naturallyV- andH-polradiancespassthroughthesamecloudwithslightlydifferentopticaldepths(τV andτH).Atlargeτ,eventuallyTBsaturatesatthesameτ.

v WecancalculatethatPDhasamaximumof 𝑇" − 𝑇$ 𝑒&'( − 𝑒&)*+'( atln 𝐴𝑅 /(𝐴𝑅 − 1),wheretheAspectRatioAR ≡ 𝜏9/𝜏:.Themaximumamplitudeisonlyweaklydependentonfrequency.

Fig.4:Schematictwo-layermodelwithaliquid/rain/surfacelayeratT1 andicecloudlayeratT2toexplaintheobservedbellcurveinthePD-TBrelationship.

Fig.5:ARbetween1.2and1.4(black)bestsimulatestheobservedPD- TBrelationships(redcurves,pinkindicatingthestandarddeviation,clear-skyremoved).

v FrozenParticlesaredominantlyhorizontallyaligned.

v CylindricalColumn(Fig.6b)withAR=1.46for𝐷<= =250𝜇𝑚matchestheobservationsthebest.

Fig.6:MaximumofPD- TBcurveat640GHzissensitivetoicehabitat(diff.panel)andparticlesize(diffcolor)aswell.

v AuniversalPD- TBrelationshiphasbeenidentifiedfromGMI’s89and166GHz,andCoSSIR’s 640GHzpolarimetric measurements.Sucharelationshipisnearlyindependentofchannelfrequency,latitudeandsurfaceconditions,alwayspeakingat~PD=10KatTB=200- 220K.

v Byassumingallfrozenparticlesarehorizontallyaligned,wecanexplaintheobservedPD- TBrelationshipsusingtheAspectRatio(AR)factor.ThisfactorbestreproducestheobservationatAR~1.3.

v Tumblingandmixinginsidethedeepconvectivecore(i.e.,randomorientation)providesanotherplausibleexplanation,whilestableairflowinsideanvilsandstratiform precipitationregionsfosterthehorizontalalignmentofnon-sphericalparticles,resultingthelargestPDsignal.

v PartofthePDsignalcomesfromthestratiform precipitation,especiallyfor89GHz.ButfloatingiceandsnowdominatethePDsignal(notshown).