A nonparametric wet/dry spell model is developed for resampling daily precipitation at a site. The model considers alternating sequences of wet and dry days in a given season of the year. All marginal, joint, and conditional probability densities of interest (e.g., dry spell length, wet spell length, precipitation amount, and wet spell length given prior to dry spell length) are estimated nonpa...

the wet and dry spells can be defined as a number of consecutive months with rain amount greater or less than the truncation level, respectively.analysis of the wet and dry spell properties of monthly rainfall series at 40 meteorology stations in the golestan province is carried out for an extended period of 34 years (1974–2007). the results proved that the patterns of wet and dry spell duratio...

Wet/dry spell characteristics of daily precipitation are of interest for a number of hydrologic applications (e.g., flood forecasting or assessment of erosion potential). Here, we examine issues related to designing an appropriate nonparametric scheme that focuses on spell characteristics for resampling historical daily precipitation data. A subset of the nonparametric wet/dry spell model prese...

Annual series of three stochastic rainfall model parameters — the seasonal wet day amount (or intensity), the conditional dry–day probability (or dry–spell persistence), and the conditional wet-day probability (or wet-spell persistence) — were examined using daily rainfall records for ten UK stations for the period 1901–1995. The purpose was first, to determine the extent to which these indices...

the effective patterns and mechanisms of synoptic systems during the wet and dry spells in midwest of iran(mwi) analyzed and discussed on seasonal scales from 1974 to 2003. synoptic analysis is based on synoptic chartson sea level pressure (slp), 850 and 500 hpa levels. the results of synoptic analysis show that dry spells in mwiare mostly corresponded to azores high (azh) intensifying and its ...

Markov chain models are a commonly used statistical technique to generate realistic sequences of precipitation, but the choice model order can strongly affect their performance. Although it is widely accepted that first-order reproduces precipitation occurrence in temperate latitudes quite well, also well known have several shortcomings. These include limited memory rare events and inaccurately...