To paraphrase Tom, I wrote a program called wee_trend during the summer of 2022 to learn a bit about Python/git/GitHub, and because it was hot and muggy in Nova Scotia. It produces 120 .png plots of weather trend data from our weewx generated NOAA files. It is available here, and the installation/usage information you need is in the README.md file:
https://github.com/ve1dx/wee_trend There are a few items I want to mention. (1) This program is not part of the core weewx project and is not a supported weeex utility. I'll try to fix any errors or omissions as best I can, but Tom et al. are not involved with wee_trend. I try to monitor this group regularly. You can also submit errors or suggestions as an issue on the above GitHub repository. (2) It will only run on systems having Python 3.5 or later. (3) Most problems encountered are quality control, of which only the user is aware. wee_trend plots are "interesting," but few to no weewx users have 20+ years of NOAA data. Also, as amateur weather observers, we typically do not maintain strict, consistent industry standards with our hardware and software. We upgrade or change weather stations, move their locations occasionally, etc. For example, my weather station was lowered from the meteorological standard of 10 meters to 8.5 meters above ground in 2019. This created a bias toward lower wind speeds. wee_trend can't know this. It also can't know if a bird built a nest in your rain gauge for several months. These things may make the plots appear to show trends that are not statistically significant. - Paul VE1DX -- You received this message because you are subscribed to the Google Groups "weewx-user" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/weewx-user/606296c5-f4c3-425e-ba70-71ee52f1b13cn%40googlegroups.com.
