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The entire rainfall sequence should be shown on loop on 4K demonstration stands forever.
Such a rainfall sequence suggests that over and above any cyclical change to weather patterns that are naturally occurring, other factors are likely to be at work, fuelling suspicions that climate change is playing its part.
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To this end, the stochastic generation of continuous rainfall sequences is often coupled with the continuous hydrological modelling.
Continuous rainfall sequences are often used as inputs in hydrologic modeling, particularly where a probabilistic assessment is required.
This paper describes an algorithm for disaggregating daily rainfall into sub-daily rainfall 'fragments' (fine-resolution rainfall sequences) under a future, warmer climate.
Poisson cluster stochastic rainfall generators (e.g., modified Bartlett-Lewis rectangular pulse, MBLRP) have been widely applied to generate synthetic sub-daily rainfall sequences.
Continuous rainfall sequences provide a means for accounting of all aspects of rainfall that produce flooding, for example, not just the design rainfall event but also the rainfall prior to the extreme rainfall event.
We then test the sensitivity of different rainfall sequences on sediment output using a well-tested landscape evolution and sediment transport model (CAESAR-Lisflood) over a simulated period of 100 y on a proposed rehabilitated mine landform.
The aim of such a study is not so much to explore the properties of rainfall, but to use the rainfall sequences as inputs for another modeling to understand the hydrologic processes (Buishand 1978).
The temporal sequence of rainfall intensities and the particular severity of rainfall showers at small temporal scale, together with the size of the sub-basin hit by the most intense part of the rainfall were the unfortunate concurrent ingredients that led to an "almost perfect" flash flood.
A 13 years long sequence of rainfall events was run with this model.
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