Atmospheric rivers (ARs) are intensive poleward moisture transport with filamentary structure, which is important to the global hydrology cycle. We define an AR event which consists of a series of spatiotemporally connected instantaneous AR objects. A new object-based tracking algorithm is developed, which aims to identify an AR event and investigate its life cycle from origin to termination. Utilizing the AR tracking algorithm, we investigate the statistical features (frequency, lifetime, and intensity), large-scale development, and moisture budget focusing on Pacific AR events that make landfall in US West Coast. Contributions from dynamical and thermodynamical components are discussed. Future work will focus on understanding changes in ARs and the related physical processes in climate projections.
About the Speaker: Yang Zhou, Ph.D. Candidate, Stony Brook University
Yang Zhou is a Ph.D. candidate at Stony Brook University. Her research interests include extreme moisture transport (known as atmospheric rivers), climate variability and prediction. Her previous work focused on the interannual variability and seasonal prediction of atmospheric rivers. Her on-going projects include understanding the large- scale developments and climate modulations associated with atmospheric rivers. One of her future work aims to understand the changes in extreme events and the underlying mechanisms in climate projections.
Hosts: Bill Collins & Travis O’Brien