作者: Leszek Kolendowicz , Bartosz Czernecki , Marek Półrolniczak , Mateusz Taszarek , Arkadiusz M. Tomczyk
DOI: 10.1007/S00704-018-2560-Z
关键词: Homogeneity (statistics) 、 Atmospheric sciences 、 Air temperature 、 Homogeneous 、 Climate change 、 Environmental science 、 Temperature measurement 、 Data series
摘要: A long-term series of meteorological measurements will allow for a better understanding the rate and nature climate change. Such analysis presumes historical knowledge particular place changing measurement techniques, as well further evaluation quality available data. This research focuses on city Poznan temperature conducted from 1848 to 2016. By 1919, location stations had changed five times, causing time-series inhomogeneities. In 1921, began be carried out at Poznan-Ławica airport, which have there been maintained this day. The monthly means air period 1848–1919 clearly indicate break in their homogeneity. For reason, main objective study is reconstruct 169-year long records homogeneous way so make it coherent with surrounding measurements. Data gaps are supplemented by constant difference method based homogenized data nearest stations. according Alexanderson’s Standard Normal Homogeneity Test. addition, annual, seasonal, trends also provided. An increasing trend can observed entire analysis. years 1848–2016, grew 1.1 °C per 100 years. As far seasons go, highest increase was Winter (+ 1.5 °C/100 years) lowest Summer (+ 0.6 °C/100 years). last 30 years, pace has increased + 4.6 °C 100 years, values recorded (+ 7.5 °C/100 years).