Universität zu Köln

Joannes-Boyau, Renaud ORCID: 0000-0002-0452-486X, Bodin, Thomas ORCID: 0000-0002-7393-6112, Scheffers, Anja ORCID: 0000-0002-9143-5389, Sambridge, Malcolm ORCID: 0000-0003-2858-3175 and May, Simon Matthias ORCID: 0000-0001-6762-7500 (2015). Using Benford's law to investigate Natural Hazard dataset homogeneity. Sci Rep, 5. LONDON: NATURE PUBLISHING GROUP. ISSN 2045-2322

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Abstract

Working with a large temporal dataset spanning several decades often represents a challenging task, especially when the record is heterogeneous and incomplete. The use of statistical laws could potentially overcome these problems. Here we apply Benford's Law (also called the First-Digit Law) to the traveled distances of tropical cyclones since 1842. The record of tropical cyclones has been extensively impacted by improvements in detection capabilities over the past decades. We have found that, while the first-digit distribution for the entire record follows Benford's Law prediction, specific changes such as satellite detection have had serious impacts on the dataset. The least-square misfit measure is used as a proxy to observe temporal variations, allowing us to assess data quality and homogeneity over the entire record, and at the same time over specific periods. Such information is crucial when running climatic models and Benford's Law could potentially be used to overcome and correct for data heterogeneity and/or to select the most appropriate part of the record for detailed studies.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Joannes-Boyau, Renaud UNSPECIFIED orcid.org/0000-0002-0452-486X UNSPECIFIED Bodin, Thomas UNSPECIFIED orcid.org/0000-0002-7393-6112 UNSPECIFIED Scheffers, Anja UNSPECIFIED orcid.org/0000-0002-9143-5389 UNSPECIFIED Sambridge, Malcolm UNSPECIFIED orcid.org/0000-0003-2858-3175 UNSPECIFIED May, Simon Matthias UNSPECIFIED orcid.org/0000-0001-6762-7500 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-398920
DOI:	10.1038/srep12046
Journal or Publication Title:	Sci Rep
Volume:	5
Date:	2015
Publisher:	NATURE PUBLISHING GROUP
Place of Publication:	LONDON
ISSN:	2045-2322
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language TRENDS Multiple languages Multidisciplinary Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/39892