Attributions of Rainfall Anomalies to Weather Systems and Their Spatial and Temporal Variabilities: A Case Study of Victoria in Southeast Australia

• Published in: International journal of climatology 2024-12, Vol.44 (15), p.5418-5440
• Main Authors: Fu, Guobin, Chiew, Francis H. S., Post, David A., Pepler, Acacia, Rudeva, Irina
• Format: Article
• Language: English
• Subjects: Anomalies; Case studies; Cyclones; Datasets; Drought; Maximum daily rainfall; millennium drought; Precipitation; Rain; Rainfall; Rainfall anomalies; rainfall anomaly; Rainfall intensity; southeast Australia; spatio‐temporal variability; Stream discharge; Stream flow; Summer rainfall; Temporal variability; Temporal variations; Thunderstorms; Variability; Weather; weather systems; Weather types
• ISSN: 0899-8418; 1097-0088
• DOI: 10.1002/joc.8644

ABSTRACT Attributions of rainfall anomalies to weather systems and their spatio‐temporal variability in Victoria, southeast Australia are investigated with a multimethod weather type dataset and two popularly used gridded daily rainfall datasets for the period 1979–2015. The rainfall anomalies before, during and after the Millennium Drought (1997–2009) are compared to quantify the temporal variability of rainfall responses to weather type changes. The results show: (1) Three weather systems (Front, Cyclone and Thunderstorm) and their combinations contribute 89% of total rainfall; (2) Contributions of weather types to rainfall vary from month to month with winter season rainfall coming from more diverse weather types than summer rainfall; (3) The contributions of weather types to rainfall in three periods show temporal variabilities and there is a clear shift of contribution pattern after the Millennium Drought, such as front‐thunderstorm (FT) is now the largest contributor to rainfall compared with cyclone‐frontal‐thunderstorm (CFT) before and during the Millennium Drought; (4) A seasonal shift in the post‐drought period is found with higher rainfall in February and March and lower rainfall in September and October. The increased rainfall in February mainly results from Front–Thunderstorm (FT) and Thunderstorm‐only (TO), while rainfall declines in September from all weather types; (5) Several rainfall characteristics that are important for streamflow generation, such as rainfall intensity, probability of rainfall occurrence, number of rainfall days and the maximum daily rainfall, do depend on the weather types; (6) The results are similar with different rainfall datasets, but differences do exist, especially at the local scale. The conclusions of this study are drawn from an Australian case study but have implications for other regions to investigate the attributions of rainfall characteristic changes to weather systems. Attributions of rainfall anomalies to weather systems and their spatial and temporal variabilities are investigated in this article and results show that three weather systems (Front, Cyclone and Thunderstorm) and their combinations contribute 89% of total rainfall and the contributions display spatial and temporal heterogenous patterns. Contributions of rainfall intensity, rainy days (RD) and their interaction to total rainfall anomaly (mm) before, during and after the Millennium Drought (1997–2009) over the long‐term (1979–2015) for each