COMPASS Friday

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GET STARTED
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Visit
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COMPASS Friday

SPRING 2019
Fridays at 11:00 am, RSMAS Auditorium

Jan 18: NO SEMINAR

Jan 25: STUDENT SEMINARS

John Lodise (MPO)
Vertical Structure of Ocean Surface Currents Under High Winds
from Massive Arrays of Drifters
John Lodise, Tamay Özgökmen, Annalisa Griffa, and Maristella Berta

Very near surface ocean currents have large impacts on the transport of buoyant materials in the ocean, but have proved difficult to measure with modern instrumentation. Here, observations of ocean currents at two depths within the first meter of the surface are made utilizing trajectory data from both drogued and undrogued CARTHE drifters, which have draft depths of 60 cm and 5 cm, respectively. Trajectory data were collected during the LAgrangian Submesoscale ExpeRiment (LASER) that took place from January to March of 2016 in the Northern Gulf of Mexico. Examination of the drifter velocities reveal that the surface currents become strongly wind- and wave-driven during periods of high wind, with the pre-existing regional circulation contributing only a small fraction (~20-30%) to the total surface velocities. During these high wind events, we deconstruct the full surface current velocities captured by each drifter type into their wind- and wave-driven components after subtracting an estimate for the pre-existing circulation. The submesoscale to mesoscale circulation preceding each high wind event is estimated using a Lagrangian variational method to create hourly velocity fields using both drifter types, separately. Synoptic wind and wave output data from the Unified Wave INterface-Coupled Model (UWIN-CM), a fully coupled atmosphere, wave and ocean circulation model, are used for analysis. Results indicate there is significant vertical shear in the purely wind-driven component of the surface flow, which exhibits a rotation to the right with depth between the two surface layers measured, with both surface layers reaching higher deflection angles at higher wind speeds.

Bosong Zhang (ATM)
Constraining GCM Projections of Regional Precipitation Change

As communities prepare for the impacts of climate change, policy makers and stakeholders increasingly require locally resolved projections of future climate that often exceed the resolution of current models. Statistical downscaling (SD) uses low resolution outputs from global climate models and historical climate observations to both enhance the spatial resolution of the projections and correct for systematic model biases. Here we examine the efficacy of various SD methods to reduce the uncertainty in future rainfall projections over land. While bias corrections are effective in removing systematic biases in the representation of the current climate, they are ineffective in reducing the intermodel spread in future regional rainfall projections. However, the regional pattern of future rainfall change is shown to be strongly dependent upon the current climatological distribution of rainfall. We show that this dependence of future changes upon the current mean state provides an effective tool to constrain regional projections.

Feb 01: Yi Dai
Department of Atmospheric Sciences, RSMAS
(one-hour ATM student seminar)

Feb 08: NO SEMINAR (Recruitment Weekend)

Feb 15: Dr. Georg Heygster
University of Bremen, Germany

Feb 22: STUDENT SEMINARS

Chelsi Lopez (OCE)

Mingming Shao (AMP)

Mar 01: STUDENT SEMINARS

James Hlywiak (MPO)

Kelsey Malloy (ATM)

Sara Purdue (ATM)

Mar 08: STUDENT SEMINARS

Bingkun Luo (MPO)

Xingchen Yang (MPO)

Simge Bilgen (MPO)

Mar 15:  Dr. Yoshiaki Miyamoto
Keio University, Fujisawa, Japan

Mar 22: STUDENT SEMINARS

Houraa Daher (OCE)

Shannon Doherty (OCE)

Kaycie Lanpher (OCE)

Mar 29: STUDENT SEMINARS

Luna Hiron (MPO)

Chong Jia (MPO)

Mampi Sarkar (MPO)

Apr 05: STUDENT SEMINARS

Kayla Besong (ATM)

Matthew Grossi (MPO)

Wei Zhang (MPO)

Apr 12: STUDENT SEMINARS

Romain Chaput (OCE)

Alessandro Cresci (OCE)

Glorianne Rivera (OCE)

Apr 19: STUDENT SEMINARS

Greg Koman (MPO)

Szandra Peter (MPO)

Steven Simon (MPO)

Wei-Ming Tsai (ATM)

Apr 26: STUDENT SEMINARS

Valeria Donets (ATM)

Yu Gao (MPO)

Breanna Zavadoff (MPO)