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High resolution atmospheric profiling with the S-band Doppler polarimetric radar TARA

High resolution atmospheric profiling with the S-band Doppler polarimetric radar TARA Christine Unal, Marta Girame Ibanez, Yann Dufournet and Herman Russchenberg Delft University of Technology, The Netherlands TARA type of measurement Near vertical wind profiling mode

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High resolution atmospheric profiling with the S-band Doppler polarimetric radar TARA

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  1. High resolution atmospheric profiling with the S-band Doppler polarimetric radar TARA Christine Unal, Marta Girame Ibanez, Yann Dufournet and Herman Russchenberg Delft University of Technology, The Netherlands TARA type of measurement Near vertical wind profiling mode First comparisons of TARA wind profiling with radiosondes

  2. Hornisgrinde (site H) TARA (Transportable Atmospheric Radar) wavelength = 9.1 cm 1 s < time resolution < 10 s 3 m< height resolution< 30 m 4.5 Tb of raw data • can simultaneously measure • dynamics (wind profiling with 3 beams) • microphysics (polarimetry) of precipitation, ice clouds, mixed-phased clouds and clear air scattering

  3. MB VV HV HH OB1 OB2 measurement sequence time Measurement configuration 3 beams  3 mean Doppler velocities  horizontal wind + vertical wind

  4. 1.3 m/s 2.5 m/s Radiosondes comparison Sites H and M About 30 mn time difference 6.5 deg. 17.6 deg.

  5. IOP-5a: reflectivity and horizontal wind

  6. Comparison of TARA horizontal wind with radiosonde H Standard deviation (radar measurement of 3 mn) Wind speed: from 1 m/s (cloud) to 2 m/s (rain) Wind direction: from 2 deg. (cloud) to 5 deg. (rain) Differences of the order of 5 m/s and 25 deg. between TARA and radiosonde H

  7. IOP-5a: horizontal wind and vertical velocity (zoom on 6 mn) heterogeneity

  8. IOP-8b: reflectivity and 3D wind

  9. Comparison of TARA horizontal wind with radiosondes Differences of the order of 5 m/s and 90 deg. between TARA and radiosonde H Compared to precipitation, clear air scattering has a low signal-to-noise ratio and less data for the averaging period

  10. IOP-8b: 3D wind (zoom on 30 mn) turbulence

  11. Status atmosphere dynamics  evaluation of TARA wind estimates - different meteorological conditions - accuracy - COPS user needs atmosphere microphysics  research on mixed-phased clouds (Yann Dufournet) problems with TARA during COPS  data quality ok (raw data) but a part of the processing is thus not automatic  study cases will be selected

  12. IOP-5a: 3 time series of mean Doppler velocities

  13. IOP-8b: 3 time series of mean Doppler velocities

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