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| Titel |
The CASA quantitative precipitation estimation system: a five year validation study |
| VerfasserIn |
V. Chandrasekar, Y. Wang, H. Chen |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 12, no. 9 ; Nr. 12, no. 9 (2012-09-12), S.2811-2820 |
| Datensatznummer |
250011095
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| Publikation (Nr.) |
 copernicus.org/nhess-12-2811-2012.pdf |
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| Zusammenfassung |
| Flooding is one of the most common natural hazards that produce substantial
loss of life and property. The QPE products that are derived at high
spatiotemporal resolution, which is enabled by the deployment of a dense
radar network, have the potential to improve the prediction of
flash-flooding threats when coupled with hydrological models. The US
National Science Foundation Engineering Research Center for Collaborative
Adaptive Sensing of the Atmosphere (CASA) is dedicated to revolutionizing our
ability to observe, understand, predict, and respond to hazardous weather
events, especially in the lower atmosphere. CASA's technology enables
precipitation observation close to the ground and QPE is one of the
important products generated by the system. This paper describes the CASA
QPE system built on the various underlying technologies of networked X-band
radar systems providing high-resolution (in space and time) measurements,
using the rainfall products from the radar. Evaluation of the networked
rainfall product using 5 yr of data from the CASA IP-1 test bed is
presented. Cross validation of the product using 5 yr of data with a
gauge network is also provided. The validation shows the excellent
performance of the CASA QPE system with a standard error of 25% and a low
bias of 3.7%. Examples of various CASA rainfall products including
instantaneous and hourly rainfall accumulations are shown. |
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