 |
| Titel |
Automated rain rate estimates using the Ka-band ARM zenith radar (KAZR) |
| VerfasserIn |
A. Chandra, C. Zhang, P. Kollias, S. Matrosov, W. Szyrmer |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1867-1381
|
| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 8, no. 9 ; Nr. 8, no. 9 (2015-09-14), S.3685-3699 |
| Datensatznummer |
250116573
|
| Publikation (Nr.) |
 copernicus.org/amt-8-3685-2015.pdf |
|
|
|
|
|
| Zusammenfassung |
| The use of millimeter wavelength radars for probing precipitation has
recently gained interest. However, estimation of precipitation variables is
not straightforward due to strong signal attenuation, radar receiver
saturation, antenna wet radome effects and natural microphysical variability.
Here, an automated algorithm is developed for routinely retrieving rain rates
from the profiling Ka-band (35-GHz) ARM (Atmospheric Radiation
Measurement) zenith radars (KAZR). A 1-dimensional, simple, steady state
microphysical model is used to estimate impacts of microphysical processes
and attenuation on the profiles of radar observables at 35-GHz and thus
provide criteria for identifying situations when attenuation or microphysical
processes dominate KAZR observations. KAZR observations are also screened for
signal saturation and wet radome effects. The algorithm is implemented in two
steps: high rain rates are retrieved by using the amount of attenuation in
rain layers, while low rain rates are retrieved from the reflectivity–rain
rate (Ze–R) relation. Observations collected by the KAZR, rain gauge,
disdrometer and scanning precipitating radars during the DYNAMO/AMIE field
campaign at the Gan Island of the tropical Indian Ocean are used to validate
the proposed approach. The differences in the rain accumulation from the
proposed algorithm are quantified. The results indicate that the proposed
algorithm has a potential for deriving continuous rain rate statistics in the
tropics. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|