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| Titel |
Improved Micro Rain Radar snow measurements using Doppler spectra post-processing |
| VerfasserIn |
M. Maahn, P. Kollias |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 5, no. 11 ; Nr. 5, no. 11 (2012-11-12), S.2661-2673 |
| Datensatznummer |
250003166
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| Publikation (Nr.) |
 copernicus.org/amt-5-2661-2012.pdf |
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| Zusammenfassung |
| The Micro Rain Radar 2 (MRR) is a compact Frequency Modulated Continuous
Wave (FMCW) system that operates at 24 GHz. The MRR is
a low-cost, portable radar system that requires minimum supervision in
the field. As such, the MRR is a frequently used radar system for
conducting precipitation research. Current MRR drawbacks are the lack
of a sophisticated post-processing algorithm to improve its
sensitivity (currently at +3 dBz), spurious artefacts
concerning radar receiver noise and the lack of high quality Doppler
radar moments. Here we propose an improved processing method which is
especially suited for snow observations and provides reliable values
of effective reflectivity, Doppler velocity and spectral width. The
proposed method is freely available on the web and features a noise
removal based on recognition of the most significant peak. A dynamic
dealiasing routine allows observations even if the Nyquist velocity
range is exceeded. Collocated observations over 115 days of a MRR and
a pulsed 35.2 GHz MIRA35 cloud radar show a very high
agreement for the proposed method for snow, if reflectivities are
larger than −5 dBz. The overall sensitivity is increased to
−14 and −8 dBz, depending on range. The proposed method
exploits the full potential of MRR's hardware and substantially
enhances the use of Micro Rain Radar for studies of solid
precipitation. |
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