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| Titel |
Validation of satellite OPEMW precipitation product with ground-based weather radar and rain gauge networks |
| VerfasserIn |
D. Cimini, F. Romano, E. Ricciardelli, F. Di Paola, M. Viggiano, F. S. Marzano, V. Colaiuda, E. Picciotti, G. Vulpiani, V. Cuomo |
| 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 ; 6, no. 11 ; Nr. 6, no. 11 (2013-11-22), S.3181-3196 |
| Datensatznummer |
250085113
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| Publikation (Nr.) |
 copernicus.org/amt-6-3181-2013.pdf |
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| Zusammenfassung |
| The Precipitation Estimation at Microwave Frequencies (PEMW) algorithm was
developed at the Institute of Methodologies for Environmental Analysis of
the National Research Council of Italy (IMAA-CNR) for inferring surface rain
intensity (sri) from satellite passive microwave observations in the range
from 89 to 190 GHz. The operational version of PEMW (OPEMW) has been
running continuously at IMAA-CNR for two years. The OPEMW sri estimates,
together with other precipitation products, are used as input to an
operational hydrological model for flood alert forecast. This paper presents
the validation of OPEMW against simultaneous ground-based observations from
a network of 20 weather radar systems and a network of more than 3000 rain
gauges distributed over the Italian Peninsula and main islands. The
validation effort uses a data set covering one year (July 2011–June 2012).
The effort evaluates dichotomous and continuous scores for the assessment of
rain detection and quantitative estimate, respectively, investigating both
spatial and temporal features. The analysis demonstrates 98% accuracy in
correctly identifying rainy and non-rainy areas; it also quantifies the
increased ability (with respect to random chance) to detect rainy and
non-rainy areas (0.42–0.45 Heidke skill score) or rainy areas only
(0.27–0.29 equitable threat score). Performances are better than average
during summer, fall, and spring, while worse than average in the winter
season. The spatial–temporal analysis does not show seasonal dependence
except over the Alps and northern Apennines during winter. A binned analysis
in the 0–15 mm h−1 range suggests that OPEMW tends to slightly overestimate
sri values below 6–7 mm h−1 and underestimate sri above those values. With
respect to rain gauges (weather radars), the correlation
coefficient is larger than 0.8 (0.9). The monthly mean difference and
standard deviation remain within ±1 and 2 mm h−1 with respect to rain
gauges (respectively −2–0 and 4 mm h−1 with respect to weather radars). |
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