Nudging a Pseudo-Science Towards a Science—The Role of Statistics in a Rainfall Enhancement Trial in Oman

IF 1.7 3区 数学 Q1 STATISTICS & PROBABILITY International Statistical Review Pub Date : 2022-02-02 DOI:10.1111/insr.12486
Ray Chambers, Stephen Beare, Scott Peak, Mohammed Al-Kalbani
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引用次数: 1

Abstract

Although cloud seeding is a commonly used and plausible method for rainfall enhancement, its practical efficacy has not been established for seeding of convective clouds with hygroscopic materials. Other methods of rainfall enhancement are viewed as much less plausible. Thus, although increased electrical charge has been shown to enhance precipitation in cloud chamber experiments, exactly how ionisation of clouds can increase rainfall in the open atmosphere remains conjectural. A trial of the efficacy of ionisation for rainfall enhancement in the Hajar Mountains of Oman was carried out over 2013–2018. This paper provides some background to this non-mainstream approach to increasing rainfall, showing how statistical modelling of rainfall data might be used to nudge rainfall enhancement via ionisation towards a more scientifically acceptable status. Analysis of the data collected in the trial shows that ionisation led to a statistically significant enhancement in positive rainfall in gauges located up to 70 km downwind of the ionisers. A headline analysis specified prior to commencement of the trial resulted in an estimate of 16.23% enhancement relative to rainfall that would have fallen without any ionisation, while a more sophisticated after the event analysis increased this estimate to 17.64%.

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将伪科学推向科学——统计在阿曼增雨试验中的作用
虽然人工降雨是一种常用和可行的增雨方法,但其实际效果尚未确定用吸湿材料播种对流云。其他增强降雨的方法被认为不太可信。因此,尽管在云室实验中已经证明电荷的增加可以增加降水,但是云的电离如何在开放大气中增加降雨仍然是推测性的。2013-2018年,在阿曼哈贾尔山脉进行了一项关于电离增强降雨效果的试验。本文为这种非主流的增加降雨方法提供了一些背景,展示了如何使用降雨数据的统计建模来通过电离推动降雨增强,使其达到更科学可接受的状态。对试验中收集的数据的分析表明,电离导致位于电离器下风70公里处的仪表的正降雨量在统计上显著增加。在试验开始前进行的一项标题分析得出,相对于没有任何电离作用的降雨量,估计增加了16.23%,而更复杂的事后分析将这一估计提高到17.64%。
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来源期刊
International Statistical Review
International Statistical Review 数学-统计学与概率论
CiteScore
4.30
自引率
5.00%
发文量
52
审稿时长
>12 weeks
期刊介绍: International Statistical Review is the flagship journal of the International Statistical Institute (ISI) and of its family of Associations. It publishes papers of broad and general interest in statistics and probability. The term Review is to be interpreted broadly. The types of papers that are suitable for publication include (but are not limited to) the following: reviews/surveys of significant developments in theory, methodology, statistical computing and graphics, statistical education, and application areas; tutorials on important topics; expository papers on emerging areas of research or application; papers describing new developments and/or challenges in relevant areas; papers addressing foundational issues; papers on the history of statistics and probability; white papers on topics of importance to the profession or society; and historical assessment of seminal papers in the field and their impact.
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