This report provides an analysis of the wide range of meteorological data for the U.K. that is now publicly available, focusing on the extraction of trends and cycles from monthly observations on various measures of the U.K.’s weather. A brief outline of the report is as follows. After Section 1’s brief introduction, the meteorological data for the U.K. and its districts are presented in Section 2. Section 3 develops the statistical framework, the seemingly unrelated regression (SUR) model, that is used to analyse the various weather measures. Subsequent sections thus analyse temperatures (Section 4), rainfall (Section 5), rain days (Section 6), sunshine hours (Section 7) and frost days (Section 8) using data up to 2022. The measurement of weather volatility is considered in Section 9, while Section 10 focuses on forecasts for the latest available year. 2023. A summary of the various findings are contained in Section 11, from which it is clear that, when attempting to extract the trend and cyclical movements in the weather patterns of the U.K., any analysis must be conducted at the district level, with attention also being focused on seasonal movements. The SUR statistical methodology with flexible Fourier trend-cycle functions proves to be an excellent framework with which to accomplish this.