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Forecast of precipitation for the 1994 flood in Piedmont: performance of an ensemble system at convection-permitting resolution

I. M. L. Cerenzia; G. Pincini; T. Paccagnella; E. Minguzzi; T. Gastaldo; V. Poli; M. S. Tesini; P. Patruno; D. Cesari
Bulletin of Atmospheric Science and Technology · Vol. 1, Issue 3-4 · pp. 319-338 · 2020

Abstract

The major flood that affected the Piedmont region in Italy in November 1994 is re-forecast after 25 years in ensemble mode at the convection-permitting resolution of 2.2 km using the regional model COSMO. The performance of the probabilistic forecast of precipitation is assessed against rain-gauge observations, also in comparison with the driver system, i.e., the probabilistic re-forecast produced by ECMWF based on the operational IFS (Cycle 46r1) at grid spacings of 18 km. The convection-allowing system dynamically downscales the ECMWF ensemble and includes an explicit treatment of deep convection. Results indicate that both systems can predict up to 4 days in advance the timing and the spatial patterns of the precipitation, although with higher confidence for the convection-resolving system. The benefit of high resolution is shown mainly in the prediction of intense precipitation and in terms of correct amounts and locations, and confidence of occurrence (at day 3, the estimated probability of exceedance of 200 mm was higher than 90% over areas actually hit by such rainfall amounts). Additionally, convection-permitting resolution improves the representation of orographic precipitation, reducing the upwind precipitation displacement typical of coarser models and including the possible development of strong convection episodes embedded in the large-scale-forced orographic rise. For the high-resolution ensemble, the spread indicates large uncertainty at the local scale, mainly in defining the flow tendency to flank or flow over each mountain.

Bibliographic Information

JournalBulletin of Atmospheric Science and Technology
PublisherSpringer
Publication Date2020-12-01
Publication Year2020
Volume1
Issue3-4
Pages319-338
Document TypeJournal Article
Print ISSN2662-1495
eISSN2662-1509
DOI10.1007/s42865-020-00025-2

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NARA Access Coverage2020-01-01~Current
Journal Homepagehttps://www.springer.com/journal/42865
Publisher PageOpen Publisher Page
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