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  • 标题:The presentation of precipitation information in televison broadcasts: what is typical?
  • 作者:Singer, Marc
  • 期刊名称:Transactions of the Missouri Academy of Science
  • 印刷版ISSN:0544-540X
  • 出版年度:2005
  • 期号:January
  • 语种:English
  • 出版社:Missouri Academy of Science
  • 摘要:A statistical analysis of precipitation values for Columbia, Missouri was performed using monthly averages for the 1971-2000 period. The data was acquired from the Missouri Climate Center. The analysis demonstrates that, unlike temperature data, precipitation values are not normally distributed, but are closer to a "gamma" distribution. Precipitation data is typically presented as a cumulative monthly total in television broadcasts, unlike temperature information. Thus, a typical daily range for precipitation cannot be displayed as has been recommended for temperature in order to incorporate simple statistical information into a broadcast. Precipitation events result from "randomly" occurring transients, thus, comparing daily precipitation information to daily statistical precipitation information is meaningless. Here it is suggested that historical monthly rainfalls can be used to partition the data into quintiles following Guinan (2004). These quintiles can then be used to compare cumulative monthly precipitation to typical by displaying "stretching" quintiles in order to provide the viewer with a better statistical context for precipitation data.
  • 关键词:Precipitation (Meteorology);Weather broadcasting

The presentation of precipitation information in televison broadcasts: what is typical?


Singer, Marc


A statistical analysis of precipitation values for Columbia, Missouri was performed using monthly averages for the 1971-2000 period. The data was acquired from the Missouri Climate Center. The analysis demonstrates that, unlike temperature data, precipitation values are not normally distributed, but are closer to a "gamma" distribution. Precipitation data is typically presented as a cumulative monthly total in television broadcasts, unlike temperature information. Thus, a typical daily range for precipitation cannot be displayed as has been recommended for temperature in order to incorporate simple statistical information into a broadcast. Precipitation events result from "randomly" occurring transients, thus, comparing daily precipitation information to daily statistical precipitation information is meaningless. Here it is suggested that historical monthly rainfalls can be used to partition the data into quintiles following Guinan (2004). These quintiles can then be used to compare cumulative monthly precipitation to typical by displaying "stretching" quintiles in order to provide the viewer with a better statistical context for precipitation data.

* Hagen, T.E., J.M. Glisan, A.R. Lupo, and P.E. Guinan. Department of Soil, Environmental, and Atmospheric Sciences, University of Missouri-Columbia.

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