Loading...
Please wait, while we are loading the content...
Similar Documents
New asymptotic and preasymptotic results on rainfall maxima from multifractal theory
| Content Provider | Semantic Scholar |
|---|---|
| Author | Veneziano, Daniele Langousis, Andreas Lepore, Chiara |
| Copyright Year | 2009 |
| Abstract | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. [1] Contrary to common belief, Fisher-Tippett's extreme value (EV) theory does not typically apply to annual rainfall maxima. Similarly, Pickands' extreme excess (EE) theory does not typically apply to rainfall excesses above thresholds on the order of the annual maximum. This is true not just for long-averaging durations d but also for short d and in the high-resolution limit as d ! 0. We reach these conclusions by applying large-deviation theory to multiplicative rainfall models with scale-invariant structure. We derive several asymptotic results. One is that, as d ! 0, the annual maximum rainfall intensity in d, I yr,d , has generalized extreme value (GEV) distribution with a shape parameter k that is significantly higher than that predicted by EV theory and is always in the EV2 range. The value of k depends not on the upper tail of the marginal distribution but on regions closer to the body. Under the same conditions, the excesses above levels close to the annual maximum have generalized Pareto distribution with parameter k that is always higher than that predicted by Pickands' EE theory. For finite d, the distribution of I yr,d is not GEV, but in accordance with empirical evidence is well approximated by a GEV distribution with shape parameter k that increases as d decreases. We propose a way to estimate k under preasymptotic conditions from the scaling properties of rainfall and suggest a near-universal k(d) relationship. The new estimator promises to be more accurate and robust than conventional estimators. These developments represent a significant conceptual change in the way rainfall extremes are viewed and evaluated. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://dspace.mit.edu/openaccess-disseminate/1721.1/77991 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Approximation algorithm Asymptote Command & Conquer:Yuri's Revenge Epilepsy, Generalized Extended Validation Certificate Fluid overload Html Link Type - copyright Image resolution Image scaling Marginal model Maxima and minima Multifractal system Offset binary Pareto efficiency Population Parameter Terms of service Test scaling benefit |
| Content Type | Text |
| Resource Type | Article |
