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| Titel |
Precipitation and microphysical studies with a low cost high resolution X-band radar: an innovative project prospective |
| VerfasserIn |
J. Baelen, Y. Pointin, W. Wobrock, A. Flossmann, G. Peters, F. Tridon, C. Planche |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: Observation, Prediction and Verification of Precipitation (EGU Session 2008) ; Nr. 20 (2009-03-16), S.25-32 |
| Datensatznummer |
250014331
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| Publikation (Nr.) |
 copernicus.org/adgeo-20-25-2009.pdf |
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| Zusammenfassung |
This paper describes an innovative project which has just been launched at
the "Laboratoire de Météorologie Physique" (LaMP) in
Clermont-Ferrand in collaboration with the "Meteorologische Institut" in
Hamburg, where a low cost X-band high resolution precipitation radar is
combined with supporting measurements and a bin microphysical cloud
resolving model in order to develop adapted Z–R relationships for accurate
rain rate estimates over a local area such as a small catchment basin, an
urban complex or even an agriculture domain.
In particular, the use of K-band micro rain radars which can retrieve
vertical profiles of drop size distribution and the associated reflectivity
will be used to perform direct comparisons with X-band radar volume samples
while a network of rain-gauges provides ground truth to which our rain
estimates will be compared. Thus, the experimental suite of instrumentation
should provide a detailed characterization of the various rain regimes and
their associated Z–R relationship. Furthermore, we will make use of the
hilly environment of the radar to test the use of novel attenuation
methods in order to estimate rainfall rates.
A second important aspect of this work is to use the detailed cloud modeling
available at LaMP. Simulations of precipitating clouds in highly resolved 3-D
dynamics model allow predicting the spectra of rain drops and precipitating ice
particles. Radar reflectivity determined from these model studies will be
compared with the observations in order to better understand which raindrop
size spectrum shape factor should be applied to the radar algorithms as a
function of the type of precipitating cloud. Likewise, these comparisons
between the modeled and the observed reflectivity will also give us the
opportunity to further improve our model microphysics and the
parameterizations for meso-scale models. |
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