Regionalizing short-term rainfall affected by topography in semiarid Tunisia
Jebari, Sihem LU ; Berndtsson, Ronny LU
; Bertacchi Uvo, Cintia
LU
and Bahri, A
(2007)
In Hydrological Sciences Journal
52(6).
p.1199-1215
- Abstract
- The characteristics of fine time-scale rainfall are important in many hydrological applications, such as infiltration, erosion and flooding. The spatial properties of such rainfall are, however, seldom known, especially for arid and semi-arid areas. A better knowledge of fine time-scale rainfall and also comparison with daily rainfall may yield possibilities for disaggregation. For this purpose, rainfall data of different time scales, from 1-min to daily, from 25 stations during four years (1995–1998), were spatially analysed by means of spatial correlation, empirical orthogonal function (EOF) and hierarchical clustering. The results show that the spatial correlation is typically non-isotropic and varying, depending on topography and local... (More)
- The characteristics of fine time-scale rainfall are important in many hydrological applications, such as infiltration, erosion and flooding. The spatial properties of such rainfall are, however, seldom known, especially for arid and semi-arid areas. A better knowledge of fine time-scale rainfall and also comparison with daily rainfall may yield possibilities for disaggregation. For this purpose, rainfall data of different time scales, from 1-min to daily, from 25 stations during four years (1995–1998), were spatially analysed by means of spatial correlation, empirical orthogonal function (EOF) and hierarchical clustering. The results show that the spatial correlation is typically non-isotropic and varying, depending on topography and local meteorological settings. Similarly, spatial patterns of EOF are closely related to main atmospheric synoptic situations as influenced by orography and spatial dependence regarding areas with predominant convective and frontal rainfall. The clustering displayed different homogeneous sub-groups over the Tunisian Dorsal Mountains that can be used to better manage the limited water resources that often depend on fine time-scale rainfall variability. (Less)
- Abstract (Swedish)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/587310
- author
- Jebari, Sihem
LU
; Berndtsson, Ronny
LU
; Bertacchi Uvo, Cintia
LU
and Bahri, A
- organization
- publishing date
- 2007
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- daily rainfall, multivariate analysis, regionalization, semi-arid, Tunisia, fine time-scale rainfall, spatial rainfall patterns
- in
- Hydrological Sciences Journal
- volume
- 52
- issue
- 6
- pages
- 1199 - 1215
- publisher
- Taylor & Francis
- external identifiers
-
- wos:000251963200009
- scopus:37249065694
- ISSN
- 0262-6667
- DOI
- 10.1623/hysj.52.6.1199
- language
- English
- LU publication?
- yes
- id
- 80a5296f-1b0c-4b9d-875d-34ec5d77fc49 (old id 587310)
- date added to LUP
- 2016-04-04 09:38:05
- date last changed
- 2023-09-06 02:03:01
@article{80a5296f-1b0c-4b9d-875d-34ec5d77fc49,
abstract = {{The characteristics of fine time-scale rainfall are important in many hydrological applications, such as infiltration, erosion and flooding. The spatial properties of such rainfall are, however, seldom known, especially for arid and semi-arid areas. A better knowledge of fine time-scale rainfall and also comparison with daily rainfall may yield possibilities for disaggregation. For this purpose, rainfall data of different time scales, from 1-min to daily, from 25 stations during four years (1995–1998), were spatially analysed by means of spatial correlation, empirical orthogonal function (EOF) and hierarchical clustering. The results show that the spatial correlation is typically non-isotropic and varying, depending on topography and local meteorological settings. Similarly, spatial patterns of EOF are closely related to main atmospheric synoptic situations as influenced by orography and spatial dependence regarding areas with predominant convective and frontal rainfall. The clustering displayed different homogeneous sub-groups over the Tunisian Dorsal Mountains that can be used to better manage the limited water resources that often depend on fine time-scale rainfall variability.}},
author = {{Jebari, Sihem and Berndtsson, Ronny and Bertacchi Uvo, Cintia and Bahri, A}},
issn = {{0262-6667}},
keywords = {{daily rainfall; multivariate analysis; regionalization; semi-arid; Tunisia; fine time-scale rainfall; spatial rainfall patterns}},
language = {{eng}},
number = {{6}},
pages = {{1199--1215}},
publisher = {{Taylor & Francis}},
series = {{Hydrological Sciences Journal}},
title = {{Regionalizing short-term rainfall affected by topography in semiarid Tunisia}},
url = {{http://dx.doi.org/10.1623/hysj.52.6.1199}},
doi = {{10.1623/hysj.52.6.1199}},
volume = {{52}},
year = {{2007}},
}