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Detection of Riming in Stratiform Precipitation Compatibility between 3-frequency Radar and Airborne in-situ Observations during OLYMPEX Frederic Tridon 1,2 , A. Battaglia 1,2 , R. Chase 3 , J. Turk 4 , S. Kneifel 5 , J. Leinonen 4 , K. Mroz 1,2 , S. Tanelli 4 , S. Nesbitt 3 and A. Heymsfield 6 Affiliations: 1 Earth Observation Sciences, Department of Physics and Astronomy, University of Leicester, Leicester, United-Kingdom (Corresponding author e-mail: [email protected]) 2 National Center Earth Observation, University of Leicester, Leicester, UK 3 Department of Atmospheric Sciences, University of Illinois at Urbana–Champaign, Urbana, Illinois Objectives Radar retrievals of full profiles of precipitation needed for evaluating CRMs main locks in the ice phase The microphysical characterization of ice particles (size, shape, structure, PSDs, mass-size relation) from observations is still a challenge. Complex microphysics processes (deposition, aggregation, riming) strongly alter these properties. Rimed and fluffy aggregates have distinct signatures at mm-wavelength radar frequencies optimal matching of multi-frequency radar observations for retrieving ice properties (D m , IWC). Study of a coordinated flight transect of triple frequency radar and in situ measurements obtained during OLYMPEX (Houze et al., 2017). Radar Scattering Tables SSRGA with different mass-size relations according to the degree of riming (Hogan and Westbrook, 2014 ; Leinonen et al, 2018). Case Study: 1 st December 2015 Moist southwesterly flow from the Pacific ocean leading to widespread stratiform precipitation over the Olympic Peninsula. Coordinated northwest-northwest DC-8 (APR-3 K u -K a -W radar) and Citation (in-situ observations) transect from the Olympic Mountains range to the Pacific Ocean. Conclusions and Perspectives Triple-frequency radar measurements have the potential for retrieving a degree of riming of aggregates. This requires a single scattering table which depends on the mass- size relation. Future studies will focus on the retrieval of such a parameter and further investigate the error due to the presence of supercooled liquid water. Airborne in-situ Observations PSDs obtained via the combination of 2D-S (225 mm<D<1 mm) and HVPS3 (1 mm<D<3.25 cm) probes. Calculation of IWC and D m using the mass-size relations corresponding to unrimed, rimed and heavily rimed aggregates and low-density graupel large uncertainty on IWC. Independent estimates from the Nevzorov probe and from a parameterization taking into account the fractal shape of crystals (Heymsfield, personal communication). Radar Observations Nadir curtains selected from APR-3 K u , K a and W-band cross-track swaths. Forward Modelling of Z from in-situ K u /K a : best agreement with slightly rimed aggregates mass-size relation (SSRGA-LS2015-B0p2kgm2). W-band: the 2-5 dB overestimate can be explained by attenuation from possible supercooled liquid water . Example of Retrieval on two Contrasted Profiles Variational method applied profile by profile: find the best unknowns (WC and D m profiles) optimally matching the measurements (Z Ku , Z Ka and Z w profiles) using a scattering table relating Z and attenuation to an exponential PSD. For simplicity, melting layer Z is not fitted while its extinction is parameterized as a function of the rain rate underneath. 4 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA 5 Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany 6 NCAR, Boulder, CO, USA Rimed Aggregates Classification The K u -K a combination can be used to approximately detect zones of significant riming (Tridon et al., in preparation). DC8 Citation Best matching in time Detection of Citation aircraft Mirror image Orographic enhancement Differential reflectivity effects Increase due to rain attenuation Full leg Retrieval/Comparison a) Rime accumulate in crystal interstices D>4 mm probable underestimation of Nevzorov probe IWC Agreement between the soft spheroid model and SSRGA using the same mass-size relation Underestimation from the soft spheroid model More rimed Less rimed Good homogeneity between successive retrieved profiles. Confirmation that slightly rimed aggregates are present for the majority of the leg. Fluffy aggregates Rimed aggregates In-situ using corresponding mass-size relations In-situ using corresponding mass-size relations leinonenB0p2kgm2 leinonenB0p2kgm2 Large aggregates Fluffy agg. Rimed agg. Graupel Ambiguous Ambiguous zones in yellow Typical values for OLYMPEX (Chase et al., 2018)

Detection of Riming in Stratiform Precipitation · Rimed and fluffy aggregates have distinct signatures at mm-wavelength radar frequencies optimal matching of multi-frequency radar

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Page 1: Detection of Riming in Stratiform Precipitation · Rimed and fluffy aggregates have distinct signatures at mm-wavelength radar frequencies optimal matching of multi-frequency radar

Detection of Riming in Stratiform PrecipitationCompatibility between 3-frequency Radar and Airborne in-situ Observations during OLYMPEX

Frederic Tridon1,2, A. Battaglia1,2, R. Chase3, J. Turk4, S. Kneifel5, J. Leinonen4, K. Mroz1,2, S. Tanelli4, S. Nesbitt3 and A. Heymsfield6

Affiliations: 1Earth Observation Sciences, Department of Physics and Astronomy, University of Leicester, Leicester, United-Kingdom(Corresponding author e-mail: [email protected])

2National Center Earth Observation, University of Leicester, Leicester, UK3Department of Atmospheric Sciences, University of Illinois at Urbana–Champaign, Urbana, Illinois

ObjectivesRadar retrievals of full profiles of

precipitation needed for evaluating CRMsmain locks in the ice phase

The microphysical characterization of iceparticles (size, shape, structure, PSDs, mass-sizerelation) from observations is still a challenge.Complex microphysics processes (deposition,aggregation, riming) strongly alter theseproperties.

Rimed and fluffy aggregates have distinctsignatures at mm-wavelength radar frequencies optimal matching of multi-frequency radarobservations for retrieving ice properties (Dm,IWC).

Study of a coordinated flight transect oftriple frequency radar and in situmeasurements obtained during OLYMPEX(Houze et al., 2017).

Radar Scattering TablesSSRGA with different mass-size relations

according to the degree of riming (Hogan andWestbrook, 2014 ; Leinonen et al, 2018).

Case Study: 1st December 2015Moist southwesterly flow from the Pacific

ocean leading to widespread stratiformprecipitation over the Olympic Peninsula.

Coordinated northwest-northwest DC-8(APR-3 Ku-Ka-W radar) and Citation (in-situobservations) transect from the OlympicMountains range to the Pacific Ocean.

Conclusions and Perspectives

Triple-frequency radar measurements have the potential for retrieving a degree ofriming of aggregates. This requires a single scattering table which depends on the mass-size relation. Future studies will focus on the retrieval of such a parameter and furtherinvestigate the error due to the presence of supercooled liquid water.

Airborne in-situ Observations

PSDs obtained via the combination of 2D-S (225 mm<D<1mm) and HVPS3 (1 mm<D<3.25 cm) probes.

Calculation of IWC and Dm using the mass-size relationscorresponding to unrimed, rimed and heavily rimedaggregates and low-density graupel large uncertainty onIWC.

Independent estimates from the Nevzorov probe andfrom a parameterization taking into account the fractalshape of crystals (Heymsfield, personal communication).

Radar ObservationsNadir curtains selected from APR-3 Ku, Ka and

W-band cross-track swaths.

Forward Modelling of Z from in-situKu/Ka: best agreement with slightly rimed aggregates

mass-size relation (SSRGA-LS2015-B0p2kgm2).W-band: the 2-5 dB overestimate can be explained by

attenuation from possible supercooled liquid water .

Example of Retrieval on two Contrasted Profiles

Variational method applied profile by profile: find the best unknowns (WC and Dm

profiles) optimally matching the measurements (ZKu, ZKa and Zw profiles) using ascattering table relating Z and attenuation to an exponential PSD.

For simplicity, melting layer Z is not fitted while its extinction is parameterized as afunction of the rain rate underneath.

Transition Zone Stratiform Region

4Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA5Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany6NCAR, Boulder, CO, USA

Rimed Aggregates ClassificationThe Ku-Ka combination can be used to

approximately detect zones of significant riming(Tridon et al., in preparation).

DC8 Citation

Best matching

in time

Detection of Citation aircraft

Mirror image

Orographic enhancement

Differential reflectivity effects

Increase due to rain attenuation

Full leg Retrieval/Comparison

a) R

ime

acc

um

ula

te in

cr

ysta

l in

ters

tice

s

D>4 mm probable underestimation of Nevzorov probe IWC

Agreement between the soft spheroid model and SSRGA using the same mass-size relation

Underestimation from the soft spheroid model

More rimedLess rimed

Good homogeneity betweensuccessive retrieved profiles.

Confirmation that slightly rimedaggregates are present for the majorityof the leg.

Fluffy aggregates

Rimed aggregates

In-situ using corresponding mass-size relations

In-situ using corresponding mass-size relations

leinonenB0p2kgm2

leinonenB0p2kgm2

Large aggregates

Fluffy agg. Rimed agg.

Graupel

Ambiguous

Ambiguous zones in yellow

Typical values for OLYMPEX(Chase et al., 2018)