 |
| Titel |
Assessing gridded observations for daily precipitation extremes in the Alps with a focus on northwest Italy |
| VerfasserIn |
M. Turco, A. L. Zollo, C. Ronchi, C. Luigi, P. Mercogliano |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1561-8633
|
| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 13, no. 6 ; Nr. 13, no. 6 (2013-06-11), S.1457-1468 |
| Datensatznummer |
250018494
|
| Publikation (Nr.) |
 copernicus.org/nhess-13-1457-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| In this study we compare three gridded observed datasets of daily
precipitation (EOBS, MAP and NWIOI) over the Great Alpine Region (GAR) and a
subregion in northwest Italy (NWI) in order to better understand the past
variability of daily climate extremes and to set up a basis for developing
regional climate scenarios. The grids are first compared with respect to
their temporal similarity by calculating the correlation and relative mean
absolute error of the time series. They are then compared with respect to
their spatial similarity to the climatology of the ETCCDI indices
(characterizing total precipitation, dry and wet spells and extremes with
short return periods). The results indicate first that most EOBS gridpoint
series in northeastern Italy have to be shifted back by 1 day to have
maximum overlap of the measurement period and, second, that both the temporal
and spatial similarities of most indices are higher between the NWIOI and MAP
than between MAP or the NWIOI and EOBS. These results suggest that, although
there is generally good temporal agreement between the three datasets, EOBS
should be treated with caution, especially for extreme indices over the GAR
region, and it does not provide reliable climatology over the NWI region. The
high agreement between MAP and NWIOI, on the other hand, builds confidence in
using these datasets. Users should consider carefully the limitations of the
gridded observations available: the uncertainties of the observed datasets
cannot be neglected in the overall uncertainties cascade that characterizes
climate change studies. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|