Journal article
Occurrence and quantity of precipitation can be modelled simultaneously
International Journal of Climatology, Vol.24(10), pp.1231-1239
2004
Abstract
Many statistical models exist for modelling precipitation. One difficulty is that two issues need to be addressed: the probability of precipitation occurring, and then the quantity of precipitation recorded. This paper considers a family of distributions for modelling the quantity of precipitation, including those observations in which exactly no precipitation is recorded. Two examples are then discussed showing the distributions model the precipitation patterns well.
Details
- Title
- Occurrence and quantity of precipitation can be modelled simultaneously
- Authors
- Peter K Dunn (Author) - University of Southern Queensland
- Publication details
- International Journal of Climatology, Vol.24(10), pp.1231-1239
- Publisher
- John Wiley & Sons Ltd.
- Date published
- 2004
- DOI
- 10.1002/joc.1063
- ISSN
- 0899-8418
- Copyright note
- This is the peer reviewed version of the following article: Dunn, P.K. (2004), Occurrence and quantity of precipitation can be modelled simultaneously. Int. J. Climatol., 24: 1231-1239. https://doi.org/10.1002/joc.1063, which has been published in final form at https://doi.org/10.1002/joc.1063. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99450292302621
- Output Type
- Journal article
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