Pushed by my supervisor and friend Uli, two years ago I bought a weather station. The idea was to play around, and look a bit at the weather next to my home town. Look and the climatology, on the long tem, climatology in a country where we don't really do anything for monitoring and properly observing. So, this was my personal, private, supersmall attempt.
The challenge is to try to get something out of these data. We installed a pluvio and the standard meteo (P, T, RH) station at the end of 2019, and some months later we added the sonic anemometer.
The goal is to look at the statistics of rain, at possible correlations in winds, and RH observed values. On the long tem, i'd like to characterize the climatology of the location where the station is, next to the lake of Santa Luce. I will make all the scripts I use to extract and elaborate the data and produce plots all available on the web. The idea is that all this is open-source and free. I am also trying to find a way to make the entire dataset available online. Let's see, stay tuned :)
Weekly mean values of pressure, temperature and humidity are already quite curious. In 2019 the station did not measure temperatures below zero degrees. Also, extremely large T were recorded during summer with maximum teperature of the week above 35 degrees at least 3 times, and mean temperature stable between 27 and 30 degrees.
The pressure variations also reflect the synoptic situation of the different seasons, separated by grey dashed lines. In winter, the pressure has a stronger variability, with larger standard deviations and marger max and min of the season. In spring, the variability remains high, but the tendency for P is to increase up to 1010-1020 Hpa. The summer period is characterized by smaller variability and more stable trends. This changes at the end of the summer, where we see that the variability increases again, due probably to the larger instability of the atmosphere. In autum we have various data gaps, but the variability seems to be larger and the pressure decreases again.
The relative humidity for the first six months of the year varies from 60 to 80%, with just two weeks with RH < 60%. Summer is characterized by lower relative humidity around 60%, and then autumn is instead again very humid, with humidity for the last november month, bewteen 80 and 90%.
The rain cumulated on hours can tell us about the strong precipitating showers. from the stats, the stronger single rain events, often lasting not more than one hours, happen from end of July on, rain. From August to the beginning fo November, this is the only type of precipitation occurring on the location. Only in November it starts to rain continously with most of the hourly rain below 5 mm, with 4 rain cumulated hours with rain from 5 to 25 mm. It is in november that we observe also the largest rain cumulated over one hour. . The winter and spring seem to be characterized bi hourly cumulated rain not exceeding 5 mm.
If we calculate the cumulated rain over weeks, largest values observed occur in autums and winter, while no rain is observed for more than one entire month between june and July.
Finally, when taking the rain integrated over months, autum stands out as the season with largest cumulated rain.