All Outputs (2)

Identifying the origins of extreme rainfall using storm track classification (2019)
Journal Article
Barnes, A. P., Santos, M. S., Garijo, C., Mediero, L., Prosdocimi, I., McCullen, N., & Kjeldsen, T. R. (2020). Identifying the origins of extreme rainfall using storm track classification. Journal of Hydroinformatics, 22(2), 296-309. https://doi.org/10.2166/hydro.2019.164

Identifying patterns in data relating to extreme rainfall is important for classifying and estimating rainfall and flood frequency distributions routinely used in civil engineering design and flood management. This study demonstrates the novel use of s... Read More about Identifying the origins of extreme rainfall using storm track classification.

Atmospheric origins of extreme rainfall in the UK (2019)
Conference Proceeding
Barnes, A., McCullen, N., & Kjeldsen, T. (2019). Atmospheric origins of extreme rainfall in the UK

Drawing causal relationships between physical processes and extreme rainfall is important for understand the extent of the impact these events can have. Current techniques fail to capture the causes of extreme rainfall, relying mostly on correlation... Read More about Atmospheric origins of extreme rainfall in the UK.