Guest Essay by Kip Hansen In today’s digital and Internet-of-Things world, it is easy to transform information into images — graphs, charts and other visuals that are colorful and informative. Modern math and statistical software packages can do it all for you with a few clicks of your mouse or taps on the screen. …
By Dr Fabio Capezzuoli Recent posts and discussions on WUWT regarding air temperature sampling frequencies and their influence on the daily average – propagating to monthly and yearly trends – demonstrated that the classic sampling method of Tmax and Tmin is not adequate to correctly represent daily averages (Tav); to produce a representative value at least…
Guest Post by Willis Eschenbach There are a number of lovely folks in this world who know how to use a shovel, but who have never sharpened a shovel. I’m not one of them. I like to keep my tools sharp and to understand their oddities. So I periodically think up and run new tests…
Weather spotters who report storm measurements and observations to a U.S. national compendium of storm data often exaggerate winds speeds—by about one third, on average. By Elizabeth Deatrick EOS.org People may think they know how hard the wind is blowing, but science shows that they usually get it wrong. Researchers have known this for years,…
Guest Post by Willis Eschenbach As a confirmed data junkie, I’m fond of hourly data. The interesting processes in the climate system unfold on the scale of minutes and hours, not years. So I picked up a project I’d started a while ago, but as is too often the case I’d gotten sidetractored by ……
Guest Essay by Kip Hansen WARNING: This is not a technical essay. There is almost no science in it. It is not about AGW or any issue involved in the Climate Wars. My editor describes it as “chatty”. It does ask two extremely important questions. We are all constantly bombarded by numbers….in the press, on…
Guest Essay by Kip Hansen Spoiler Alert: This essay is not about the mathematical entity the imaginary number. I do think that an essay here about imaginary numbers of that sort would be interesting, but this isn’t going to be it. This essay, while not about the usual fare seen here – AGW; CAGW;…
An analysis of the U.S. Historical Climatological Network (USHCN) shows that only about 8%-1% (depending on the stage of processing) of the data survives in the climate record as unaltered/estimated data. Guest essay by John Goetz A previous post showed that the adjustment models applied to the GHCN data produce estimated values for approximately 66% of…
Guest essay by John Goetz As noted in an earlier post here, approximately 66% of the GHCN record is estimated after processing by the GHCN adjustment models. In the current GHCN data set, there are 226 unique country codes represented. Following are the top and bottom stewards of temperature data, by country, based on the…
Summary of GHCN Adjustment-Model Effects on Temperature Data Guest essay by John Goetz As the debate over whether or not this year will be the hottest year ever burns on, it is worth revisiting a large part of the data used to make this determination: GHCN v3. The charts in this post use the dataset…