Preprints
https://doi.org/10.5194/amt-2021-148
https://doi.org/10.5194/amt-2021-148

  22 Jul 2021

22 Jul 2021

Review status: this preprint is currently under review for the journal AMT.

Coincident In-situ and Triple-Frequency Radar Airborne Observations in the Arctic

Cuong M. Nguyen1, Mengistu Wolde1, Alessandro Battaglia2,3,4, Leonid Nichman1, Natalia Bliankinshtein1, Samuel Haimov5, Kenny Bala1, and Dirk Schuettemeyer6 Cuong M. Nguyen et al.
  • 1Flight Research Laboratory, National Research Council Canada, Ottawa, K1A 0R6, Canada
  • 2DIATI, Politecnico di Torino, Torino, Italy
  • 3Earth Observation Science, Department of Physics and Astronomy, University of Leicester, Leicester, United Kingdom
  • 4National Centre for Earth Observation, University of Leicester, Leicester, United Kingdom
  • 5University of Wyoming, Laramie, USA
  • 6European Space Agency, Noordwijk, NL

Abstract. The dataset collected during the Radar Snow Experiment (RadSnowExp) presents the first-ever triple-frequency radar reflectivities combined with almost perfectly co-located and coincident airborne in situ microphysics probes on board the National Research Council Canada (NRC) Convair-580 aircraft. Over 12 hours of flight data in mixed phased and glaciated clouds with more than 3.4 hours in non-Rayleigh regions for at least one of the radar frequencies provide a unique opportunity for studying the relationship between cloud microphysical properties and radar triple-frequency signals. The in situ particle imagery data for this study include imagery from the CPI probe, which provides high resolution particle imagery and allow accurate identification of particle types including level of riming within the DFR plane. The airborne triple-frequency radar data are analysed and grouped based on the dominant particle compositions and microphysical processes (level of aggregation and riming). The results from this study are consistent with the main findings of previous modelling studies with specific regions of the dual-frequency ratio (DFR) plane associated with unique scattering properties of different ice habits, especially in clouds where radar signal is dominated by large aggregates. Moreover, the analysis shows that the close relationships between the triple-frequency signatures and particles’ bulk density, level of riming and aggregations and characteristic size of the particle size distribution (PSD).

Cuong M. Nguyen et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • AC1: 'Updated preprint', Cuong Nguyen, 27 Jul 2021
  • RC1: 'Comment on amt-2021-148', Anonymous Referee #1, 03 Aug 2021
  • RC2: 'Comment on amt-2021-148', Anonymous Referee #2, 18 Aug 2021
  • RC3: 'Comment on amt-2021-148', Anonymous Referee #3, 26 Aug 2021

Cuong M. Nguyen et al.

Cuong M. Nguyen et al.

Viewed

Total article views: 398 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
309 80 9 398 2 3
  • HTML: 309
  • PDF: 80
  • XML: 9
  • Total: 398
  • BibTeX: 2
  • EndNote: 3
Views and downloads (calculated since 22 Jul 2021)
Cumulative views and downloads (calculated since 22 Jul 2021)

Viewed (geographical distribution)

Total article views: 366 (including HTML, PDF, and XML) Thereof 366 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Sep 2021
Download
Short summary
A dataset from the RadSnowExp represents the first-ever triple-frequency radar reflectivities at X-Ka-W-band combined with almost perfectly co-located and coincident airborne in situ microphysics probes. Results confirm the main findings of previous modelling works with radar dual frequency ratios (DFRs) occur at different zones of the DFR plane associated with different ice habits. Moreover, the dataset could be used to produce look-up tables for retrieving microphysical properties.