A new precipitation and drought climatology based on weather patterns. (13th July 2017)

• Record Type: Journal Article
• Authors: Richardson, Douglas; Fowler, Hayley J.; Kilsby, Christopher G.; Neal, Robert
• Is Part Of: International journal of climatology. Volume 38:Number 2(2018)
• Page Start: 630
• Page End: 648
• Publication Date: 2017-07-13
• Subjects: meteorological drought -- precipitation -- climatology -- weather patterns -- Lamb weather types -- UK -- standardized precipitation index -- drought severity index; Climatology -- Periodicals; Climat -- Périodiques; Climatologie -- Périodiques; 551.605
• DOI: 10.1002/joc.5199
• Languages: English
• ISSNs: 0899-8418

Abstract

Abstract : Weather‐pattern, or weather‐type, classifications are a valuable tool in many applications as they characterize the broad‐scale atmospheric circulation over a given region. A new precipitation and meteorological drought climatology for the UK is presented here based on an objectively defined weather‐pattern classification recently developed by the Met Office. Six weather patterns are associated with drought over the entire UK, with several others linked to regional drought. This data set offers a new opportunity for classification‐based analyses in the UK. ABSTRACT: Weather‐pattern, or weather‐type, classifications are a valuable tool in many applications as they characterize the broad‐scale atmospheric circulation over a given region. This study analyses the aspects of regional UK precipitation and meteorological drought climatology with respect to a new set of objectively defined weather patterns. These new patterns are currently being used by the Met Office in several probabilistic forecasting applications driven by ensemble forecasting systems. Weather pattern definitions and daily occurrences are mapped to Lamb weather types (LWTs), and parallels between the two classifications are drawn. Daily precipitation distributions are associated with each weather pattern and LWT. Standardized precipitation index (SPI) and drought severity index (DSI) series are calculated for a range of aggregation periods and seasons. Monthly weather‐pattern frequency anomalies are calculated for SPI wet and dry periods and for the 5% most intense DSI‐based drought months. The new weather‐pattern definitions and daily occurrences largely agree with their respective LWTs, allowing comparison between the two classifications. There is also broad agreement between weather pattern and LWT changes in frequencies. The new data set is shown to be adequate for precipitation‐based analyses in the UK, although a smaller set of clustered weather patterns is not. Furthermore, intra‐pattern precipitation variability is lower in the new classification compared to the LWTs, which is an advantage in this context. Six of the new weather patterns are associated with drought over the entire UK, with several other patterns linked to regional drought. It is demonstrated that the new data set of weather patterns offers a new opportunity for classification‐based analyses in the UK.