Coincident in situ and triple-frequency radar airborne observations in the Arctic
<p>The dataset collected during the Radar Snow Experiment (RadSnowExp) presents the first-ever airborne triple-frequency radar observations combined with almost perfectly co-located and coincident airborne microphysical measurements from a single platform, the National Research Council Canada...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-02-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://amt.copernicus.org/articles/15/775/2022/amt-15-775-2022.pdf |
| Summary: | <p>The dataset collected during the Radar Snow Experiment
(RadSnowExp) presents the first-ever airborne triple-frequency radar
observations combined with almost perfectly co-located and coincident
airborne microphysical measurements from a single platform, the National
Research Council Canada (NRC) Convair-580 aircraft. The potential of this
dataset is illustrated using data collected from one flight during an Arctic
storm, which covers a wide range of snow habits from pristine ice crystals and
low-density aggregates to heavily rimed particles with maximum size
exceeding 10 mm. Three different flight segments with well-matched in situ
and radar measurements were analyzed, giving a total of 49 min of
triple-frequency observations. The in situ particle imagery data for this
study include high-resolution imagery from the Cloud Particle Imager (CPI)
probe, which allows accurate identification of particle types, including
rimed crystals and large aggregates, within the dual-frequency ratio (DFR)
plane. The airborne triple-frequency radar data are 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 modeling studies, with specific regions of the
DFR plane associated with unique scattering properties of different ice
habits, especially in clouds where the radar signal is dominated by large
aggregates. Moreover, the analysis shows close relationships between the
triple-frequency signatures and cloud microphysical properties (particle
characteristic size, bulk density, and level of riming).</p> |
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| ISSN: | 1867-1381 1867-8548 |