Introduction – Descriptive Climatological Graphs and Charts for Ten Major Metropolitan Area Weather Stations Distributed Across the United States was orginally created by Meteorologist Charles Fisk with the objective to present in the form of floating-bar graphs the remarkably lengthy year-to-year history of Minneapolis-St.Paul MN area daily temperatures, the vicinity having a virtually uninterrupted daily series dating back to 1820. Since that time, nine additional stations, most with climatic histories approaching or exceeding a century in length have been added (New York Central Park, Chicago, Los Angeles, San Francisco, San Diego, and Portland), to go with those of Las Vegas, Miami, and Seattle, the latter three with daily periods of record back to the late 1940’ s. Parameters other than those of temperature have also been introduced (e.g. Rainfall, Snowfall, and Winds) and a number of different statistical graphics’ types have been utilized to depict their variability climatologically, including a “climogram” type which portrays the hour-by-month variation (means, percent frequencies, extremes, etc.) of specified parameters on a grid-layout analogous to a topographic map. Other statistical graphics’ additions have been annual time series plots, boxplots, probability density distribution charts, and depictions of diurnal resultant wind character, the result of clustering analyses

The charts can be perused by teachers, students, planners, decision makers, and general weather enthusiasts – for some specified purpose(s), or simply for their own sake. The primary focus is purposely visualizations, but raw supporting data are usually available upon request.

Charts pertaining to the current year in question are updated on a semi-weekly to semi-monthly basis. Public data sources were (are) utilized to acquire the raw data, with attributions given, and generation of the assorted in climate statistics and creation of their graphical depictions done on an original, “in-house” basis.


Charles Fisk

I'm a research meteorologist with an interest in environmental statistics, statistical climatology, statistical graphics, and most recently Data Mining.
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