A two parameter design storm for Mediterranean convective rainfall
Rafael García-Bartual and Ignacio Andrés-Doménech
Universitat Politècnica de València, Instituto Universitario de Investigación de Ingeniería del Agua y del Medio Ambiente, Camí de Vera s/n. 46 022 Valencia, Spain
Received: 02 Dec 2016 – Accepted for review: 11 Dec 2016 – Discussion started: 12 Dec 2016
Abstract. The following research explores the feasibility of building effective design storms for extreme hydrological regimes, such as the one which characterizes the rainfall regime of the East and Southeast of the Iberian Peninsula, without employing IDF curves as a starting point. Nowadays and after decades of functioning of hydrological automatic networks, there exist abundant high resolution rainfall data with a reasonable statistic representation, which enables the direct research of temporal patterns and inner structures of rainfall events at a given geographic location with the aim of establishing a statistical synthesis directly based on those observed patterns. On the former work basis, the authors propose a temporal design storm defined in analytical terms, through a two parameter gamma-type function. The two parameters are directly estimated from 73 independent storms identified from rainfall records of highly temporal resolution in Valencia (Spain). All the relevant analytical properties deriving from that function are developed in order to use this storm in real applications. In particular, in order to assign a probability to the design storm (return period), an auxiliary variable combining maximum intensity and total cumulated rainfall is introduced. As a result, for every return period, three storms with different temporal patterns but a similar magnitude are defined. The consistency of the results is verified by means of comparison with the classic method of alternating blocks based on an IDF curve, for the above mentioned study case.
García-Bartual, R. and Andrés-Doménech, I.: A two parameter design storm for Mediterranean convective rainfall, Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2016-644, in review, 2016.