---
OA_type: closed access
_id: '22550'
abstract:
- lang: eng
text: 'Extreme rainfall is quantified in engineering practice using Intensity–Duration–Frequency
curves (IDF) that are traditionally derived from rain-gauges and more recently
also from remote sensing instruments, such as weather radars. These instruments
measure rainfall at different spatial scales: rain-gauge samples rainfall at the
point scale while weather radar averages precipitation on a relatively large area,
generally around 1 km2. As such, a radar derived IDF curve is representative of
the mean areal rainfall over a given radar pixel and neglects the within-pixel
rainfall variability. In this study, we quantify subpixel variability of extreme
rainfall by using a novel space–time rainfall generator (STREAP model) that downscales
in space the rainfall within a given radar pixel. The study was conducted using
a unique radar data record (23 years) and a very dense rain-gauge network in the
Eastern Mediterranean area (northern Israel). Radar–IDF curves, together with
an ensemble of point-based IDF curves representing the radar subpixel extreme
rainfall variability, were developed fitting Generalized Extreme Value (GEV) distributions
to annual rainfall maxima. It was found that the mean areal extreme rainfall derived
from the radar underestimate most of the extreme values computed for point locations
within the radar pixel (on average, ∼70%). The subpixel variability of rainfall
extreme was found to increase with longer return periods and shorter durations
(e.g. from a maximum variability of 10% for a return period of 2 years and a duration
of 4 h to 30% for 50 years return period and 20 min duration). For the longer
return periods, a considerable enhancement of extreme rainfall variability was
found when stochastic (natural) climate variability was taken into account. Bounding
the range of the subpixel extreme rainfall derived from radar–IDF can be of major
importance for different applications that require very local estimates of rainfall
extremes.'
article_processing_charge: No
article_type: original
author:
- first_name: Nadav
full_name: Peleg, Nadav
last_name: Peleg
- first_name: Francesco
full_name: Marra, Francesco
last_name: Marra
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Athanasios
full_name: Paschalis, Athanasios
last_name: Paschalis
- first_name: Peter
full_name: Molnar, Peter
last_name: Molnar
- first_name: Paolo
full_name: Burlando, Paolo
last_name: Burlando
citation:
ama: Peleg N, Marra F, Fatichi S, Paschalis A, Molnar P, Burlando P. Spatial variability
of extreme rainfall at radar subpixel scale. Journal of Hydrology. 2018;556:922-933.
doi:10.1016/j.jhydrol.2016.05.033
apa: Peleg, N., Marra, F., Fatichi, S., Paschalis, A., Molnar, P., & Burlando,
P. (2018). Spatial variability of extreme rainfall at radar subpixel scale. Journal
of Hydrology. Elsevier. https://doi.org/10.1016/j.jhydrol.2016.05.033
chicago: Peleg, Nadav, Francesco Marra, Simone Fatichi, Athanasios Paschalis, Peter
Molnar, and Paolo Burlando. “Spatial Variability of Extreme Rainfall at Radar
Subpixel Scale.” Journal of Hydrology. Elsevier, 2018. https://doi.org/10.1016/j.jhydrol.2016.05.033.
ieee: N. Peleg, F. Marra, S. Fatichi, A. Paschalis, P. Molnar, and P. Burlando,
“Spatial variability of extreme rainfall at radar subpixel scale,” Journal
of Hydrology, vol. 556. Elsevier, pp. 922–933, 2018.
ista: Peleg N, Marra F, Fatichi S, Paschalis A, Molnar P, Burlando P. 2018. Spatial
variability of extreme rainfall at radar subpixel scale. Journal of Hydrology.
556, 922–933.
mla: Peleg, Nadav, et al. “Spatial Variability of Extreme Rainfall at Radar Subpixel
Scale.” Journal of Hydrology, vol. 556, Elsevier, 2018, pp. 922–33, doi:10.1016/j.jhydrol.2016.05.033.
short: N. Peleg, F. Marra, S. Fatichi, A. Paschalis, P. Molnar, P. Burlando, Journal
of Hydrology 556 (2018) 922–933.
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2018-01-01T00:00:00Z
date_updated: 2026-08-06T08:09:51Z
day: '01'
doi: 10.1016/j.jhydrol.2016.05.033
extern: '1'
intvolume: ' 556'
keyword:
- Extreme rainfall variability
- High resolution rainfall modeling
- IDF curves
- Precipitation downscaling
- Subpixel scale
- Weather radar
language:
- iso: eng
month: '01'
oa_version: None
page: 922-933
publication: Journal of Hydrology
publication_identifier:
eissn:
- 1879-2707
issn:
- 0022-1694
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Spatial variability of extreme rainfall at radar subpixel scale
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 556
year: '2018'
...
---
OA_type: closed access
_id: '22524'
abstract:
- lang: eng
text: "The analysis of changes in precipitation is nowadays of great interest because
rainfall space-time distribution is considered one of the most important indexes
in the natural climatic cycle. This study proposes an investigation of precipitation
time series recorded in the region of Tuscany (Central Italy) in the period 1916–2003.
Forty indexes are defined to evaluate changes in the precipitation patterns and
trend detection is performed through statistical tests to assess the significance
of temporal and spatial changes in the precipitation regime. The presented analysis
does not show strong evidence of nonstationarity. A few indexes in a given number
of stations of the analysed territory do show a slight trend, but the significance
of those trends is lost once the multiple location testing issue is considered.
The complexity of the climate in central Italy, i.e. the presence of numerous
feedbacks might in fact distort or remove the consequences of global warming on
the precipitation regime. \r\n"
article_processing_charge: No
article_type: review
author:
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Enrica
full_name: Caporali, Enrica
last_name: Caporali
citation:
ama: Fatichi S, Caporali E. A comprehensive analysis of changes in precipitation
regime in Tuscany. International Journal of Climatology. 2009;29(13):1883-1893.
doi:10.1002/joc.1921
apa: Fatichi, S., & Caporali, E. (2009). A comprehensive analysis of changes
in precipitation regime in Tuscany. International Journal of Climatology.
Wiley. https://doi.org/10.1002/joc.1921
chicago: Fatichi, Simone, and Enrica Caporali. “A Comprehensive Analysis of Changes
in Precipitation Regime in Tuscany.” International Journal of Climatology.
Wiley, 2009. https://doi.org/10.1002/joc.1921.
ieee: S. Fatichi and E. Caporali, “A comprehensive analysis of changes in precipitation
regime in Tuscany,” International Journal of Climatology, vol. 29, no.
13. Wiley, pp. 1883–1893, 2009.
ista: Fatichi S, Caporali E. 2009. A comprehensive analysis of changes in precipitation
regime in Tuscany. International Journal of Climatology. 29(13), 1883–1893.
mla: Fatichi, Simone, and Enrica Caporali. “A Comprehensive Analysis of Changes
in Precipitation Regime in Tuscany.” International Journal of Climatology,
vol. 29, no. 13, Wiley, 2009, pp. 1883–93, doi:10.1002/joc.1921.
short: S. Fatichi, E. Caporali, International Journal of Climatology 29 (2009) 1883–1893.
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2009-11-15T00:00:00Z
date_updated: 2026-08-06T10:16:30Z
day: '15'
doi: 10.1002/joc.1921
extern: '1'
intvolume: ' 29'
issue: '13'
keyword:
- Stationarity
- Climate change
- Trend
- Extreme rainfall
- Daily rainfall
- Spatial analysis
- Multiple testing
language:
- iso: eng
month: '11'
oa_version: None
page: 1883-1893
publication: International Journal of Climatology
publication_identifier:
eissn:
- 1097-0088
issn:
- 0899-8418
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: A comprehensive analysis of changes in precipitation regime in Tuscany
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 29
year: '2009'
...