Praha Klementinum - daily data from portal.chmi.cz - long-period moving averages 1775-2017.
Data for Praha Klementinum was downloaded from portal.chmi.cz in year 2018, then data are aviable for period 01.01.1775-31.12.2017. Then for every year 1775-2017 was computed average, highest, lowest values for daily average, maximum, minimum temperature, daily temperature amplitude, and yearly sum, daily highest amount for precipitation. Then statistics - number of days with some temperature-precipitation specification was computed.
Newly - statistics for year 2018:https://diskuse.in-pocasi.cz/tema-4-4980-Rok_2018.html?strana=3#msg500656
For temperature - average, highest, lowest values of daily maximum, minimum, average temperature and temperature amplitude are aviable for years 1775-2017 (precipitation yearly sum and highest daily amount for years 1805-2017). Then from these yearly values have been computed long-period moving averages. Always - year, which belongs to values of long-period averages, are in the middle of longer interval (values of 31-years moving average 2000-2030 belongs to year 2015). But we have yearly data only 1775-2017. First and last year of period for long-term moving average have to be always in range 1775-2017 (for precipitation 1805-2017). That's why 201-moving average is aviable only for few years. (Precipitation data starts 01.05.1804, but it is probably complete continuous since 1807).
Scripts have been checked, but there might be always mistake.
For example 101-years moving average to year 1950 is from period 1900-2000, for year 2000 is impossible to create 101-years moving average yet. Longer period for moving average means, it is aviable for less years. And of course, longer period for moving average means smaller fluctuations.
Moving averages was computed like 1-year (classical yearly averages), 3-years, 5-years, 7-years, 11-years, 15-years, 21-years, 31-years, 41-years, 51-years, 75-years, 101-years, 151-years, 201-years, at all 14 differently long periods.
There is linear trend for every moving average. Linear value by x
is important - it means change in one year by linear estimating, absolute value not with x is not important.Somebody thinks still that climate change is not true. How they explain this graphs ?http://www.nwoo.org/category/zdravi-potraviny-ekologie/podvod-s-globalnim-oteplovanim/
Praha Klementinum 1775-2017 from portal.chmi.cz - Long-term moving averages - daily average, maximum, minimum temperature.