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| Titel |
Meteorological considerations and satellite retrievals in supporting to the assessment of local hydrologic homogeneity over Italy |
| VerfasserIn |
Salvatore Gabriele, Sante Laviola, Francesco Chiaravalloti |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250095156
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| Publikation (Nr.) |
 EGU/EGU2014-10600.pdf |
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| Zusammenfassung |
| Regional frequency analysis is a useful tool for estimating precipitation quantiles more
accurately than at-site frequency analysis, especially in the case of regions with a
brief history of short-time rainfall records. Since the rainfalls with short duration
are mainly due to convective phenomena, usually affecting areas of few square
kilometers, the description of these events with traditional tools such as in-situ
rain gauges is often incomplete and not exhaustive. Thus, the application of these
datasets to the regional analysis typically provides unrealistic description of the
event and large miscalculations of the return time, usually higher than observation.
Therefore, in order to evaluate the possible regional homogeneity and improve the
performance of hydrologic models the inference analysis of the regional climatic
regimes is revealed a useful tool. Starting from the intense rainfall of 19 November
2013 over Southern Italy, we demonstrate that the synoptic meteorological situation
well-matched with results of Gabriele & Chiaravalloti (2013a, 2013b) where the regional
homogeneity has been calculated on the basis of different climate indexes such
as Convective Available Potential Energy (CAPE) and the Q-vector Divergence
(QD). In support to that analysis two different methodologies based on satellite
microwave information have been applied: the Water vapor Strong Lines at 183
GHz (183-WSL) (Laviola and Levizzani, 2011) algorithm provides to define the
precipitation patterns while the MicroWave Cloud Classification (MWCC) (Miglietta
et al., 2013) characterizes the cloud type in terms of stratiform and convective.
Although, this study is still in progress the current results clearly demonstrate that the
Mediterranean storms move on a sort of “preferential trajectories” especially during
the months September-November where the most intense convections have been
found.
Laviola, S., and V. Levizzani, 2011: The 183-WSL fast rainrate retrieval algorithm. Part I:
Retrieval design. Atmos. Res., 99, 443-461.
Miglietta, M. M., S. Laviola, A, Malvaldi, D. Conte, V. Levizzani, and C. Price, 2013:
Analysis of tropical-like cyclone over the Mediterranean Sea through a combined modeling
and satellite approach. Geophys. Res. Lett., 40, 2400-2405, doi:10.1002/grl.50432.
Gabriele,S., and F. Chiaravalloti, 2013a: Searching regional rainfall homogeneity using
atmospheric fields, Advances in Water Resources, 53, 163-174
Gabriele,S., and F. Chiaravalloti, 2013b: Using meteorological information for the
regional frequency analysis: an application to Sicily, Water Resour. Manage. 27, 1721-1735 |
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