[Eoas-seminar] COAPS Short Seminar Series

[eoas-seminar at lists.fsu.edu]

COAPS Short Seminar Series
11:00 AM April 1st
Attend F2F (in 255 Research A) or Virtually (via Zoom)
https://fsu.zoom.us/j/92268262553

Meeting ID: 922 6826 2553
Talks are 12 minutes long with an additional 8 minutes for questions.

Observed Variability of Upwelling Filaments in the Northern Arabian Sea during Summer Monsoons
By Ethan Wright
Cold filaments of upwelled water form off the coasts of Oman and Yemen during the Indian summer monsoon and strongly contribute to cross-shelf exchanges of water mass properties and nutrients. The largest of the cold filaments typically form around the northern periphery of persistent anticyclonic eddies located off the coasts during the summer upwelling season. A novel filament detection algorithm with satellite sea surface temperature imagery is used to analyze the seasonal formation and interannual variability of upwelling filaments along the coasts of Arabia during summer monsoons. In particular, mesoscale eddy patterns associated with the development large cold filaments are analyzed using a combination of satellite altimetry and sea surface temperature products, providing insight into the role of eddies in cross-shelf exchanges of water in the Northern Arabian Sea.

The changing annual cycle of SST
By  Fucheng Yang
Description: In recent decades, many research efforts focused on global climate change, multidecadal, decadal, interannual variability, and the increasing extreme events of sea surface temperature. In contrast, the continuous evolution of the reference frame, the annual cycle of SST used to quantify the aforementioned variability and changes, has long been overlooked, resulting in difficulties in understanding the underlying physical mechanisms responsible for these variability and changes. In this study, we strive to bridge this gap on the phase changes in SST annual cycle. By devising a running correlation-based method, we can now quantify the non-sinusoidal shape of the evolving SST annual cycle, such as the advancing or delaying of summer and winter peaking times. It is revealed that the varying phases of summer or winter are more closely linked to multidecadal SST variability than to long-term climate change. Both the systematic shift of the phase and alterations in the annual cycle shape contribute to the phase changes, which explain 0.4~1.0 °C of monthly SST anomaly with respect to the climatological annual cycle in a multidecadal timescale. Furthermore, it is evident that the SST phases in historical simulations are not well captured and exhibit stronger variation compared with observation.

Introduction to Dynamic Mode Decomposition (DMD)
By Takaya Uchida
DMD is a method often applied to identify spatial modes that may be hidden in the dataset. There are similarities to Empirical Orthogonal Functions (EOFs). I will a brief overview of DMDs and provide a in-person demonstration on the utility of DMDs applied to toy datasets and observational data.\

NOTE: Please feel free to forward/share this invitation with other groups/disciplines that might be interested in this talk/topic. All are welcome to attend.

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