Abstract

It is a common experience that rainfall is intermittent in space and time. This is reflected by the fact that the statistics of area‐ and/or time‐averaged rain rate is described by a mixed distribution with a nonzero probability of having a sharp value zero. In this paper we have explored the dependence of the probability of zero rain on the averaging space and time scales in large multiyear data sets based on radar and rain gauge observations. A stretched exponential formula fits the observed scale dependence of the zero‐rain probability. The proposed formula makes it apparent that the space‐time support of the rain field is not quite a set of measure zero as is sometimes supposed. We also give an explanation of the observed behavior in terms of a simple probabilistic model based on the premise that rainfall process has an intrinsic memory.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.