@article {Morin2007,
	title = {Radar-based quantitative precipitation estimation over Mediterranean and dry climate regimes},
	journal = {Journal of Geophysical Research},
	volume = {112},
	year = {2007},
	month = {oct},
	pages = {D20108},
	abstract = {viously applied in the Alps of Europe. Adjustment coefficients have been derived for 28 rainfall periods using 59 independent gauges of a quality-checked training data set. The validation was based on an independent data set composed of gauges located in eleven 20 ? 20 km2 validation areas, which are representative of different climate, topography and radar distance conditions. The WR and WMR methods were found preferable with a slight better performance of the latter. Furthermore, a novel approach has been adopted in this study, whereby radar estimates are considered useable if they provide information that is better than gauge-only estimates. The latter was derived by spatial interpolation of the gauges belonging to the training data set. Note that these gauges are outside the validation areas. As for the radar-adjusted estimates, gauge-derived estimates were assessed against gauge data in the validation areas. It was found that radar-based estimates are better for the validation areas at the dry climate regime. At distances larger than 100 km, the radar underestimation becomes too large in the two northern validation areas, while in the southern one radar data are still better than gauge interpolation. It is concluded that in ungauged areas of Israel it is preferable to use WMR-adjusted (or alternatively, simply WR-adjusted) radar echoes rather than the standard bulk adjustment method and for dry ungauged areas it is preferable over the conventional gauge-interpolated values derived from point measurements, which are outside the areas themselves. The WR and WMR adjustment methods provide useful rain depth estimates for rainfall periods for the examined areas but within the limitation stated above.},
	issn = {0148-0227},
	doi = {10.1029/2006JD008206},
	url = {http://doi.wiley.com/10.1029/2006JD008206},
	author = {Morin, Efrat and Gabella, Marco}
}
@article {Morin2007a,
	title = {Studying the extremes: hydrometeorological investigation of a flood-causing rainstorm over Israel},
	journal = {Advances in Geosciences},
	volume = {12},
	year = {2007},
	pages = {107{\textendash}114},
	abstract = {Analysis of extreme hydrometeorological events is important for characterizing and better understanding the meteorological conditions that can generate severe rainstorms and the consequent catastrophic flooding. According to several studies (e.g., Alpert et al., 2004; Wittenberg et al., 2007), the occurrence of such extreme events is increasing over the eastern Mediterranean although total rain amounts are generally decreasing. The current study presents an analysis of an extreme event utilizing different methodologies: (a) synoptic maps and high resolution satellite imagery for atmospheric condition analysis; (b) rainfall analysis by rain gauges data; (c) meteorological radar rainfall calibration and analysis; (d) field measurements for estimating maximum peak discharges; and, (e) high resolution aerial photographs together with field surveying for quantifying the geomorphic impacts. The unusual storm occurred over Israel between 30 March and 2 April, 2006. Heavy rainfall produced more than 100mm in some locations in only few hours and more than 200mm in the major core area. Extreme rain intensities with recurrence intervals of more than 100 years were found for durations of 1 h and more as well as for the daily rain depth values. In the most severely affected area,Wadi Ara, extreme flash floods caused damages and casualties. Specific peak discharges were as high as 10{\textendash}30m3/s/km2 for catchments of the size of 1{\textendash}10 km2, values larger than any recorded floods in similar climatic regions in Israel.},
	issn = {1680-7359},
	doi = {10.5194/adgeo-12-107-2007},
	url = {https://hal.archives-ouvertes.fr/hal-00297032/},
	author = {Morin, E. and Harats, N. and Jacoby, Y. and Arbel, S. and Getker, M. and Arazi, A. and Grodek, T. and Ziv, B. and Dayan, U.}
}
