[Eoas-seminar] COAPS Short Seminar Series - Monday May 2nd at 11:00AM

[eoas-seminar at lists.fsu.edu]

These talks are usually scheduled for the first Monday of each month. 
The first talk normally starts at 11:00AM.  Each talk is typically 12 
minutes long (similar to many professional meetings), with 8 minutes for 
questions.

These talks will be presented via Zoom, with the following connection 
information:

https://fsu.zoom.us/j/98491660566?pwd=NzBxNzN4LzdsbSs4R3B6RzliOGhhdz09

Meeting ID: 984 9166 0566

Passcode: 478314


Xu Chen: Modeling the potential impact of future climate and water 
management scenarios on the hydrography of Apalachicola Bay, Florida.


Description: The potential changes to the salinity regime in 
Apalachicola Bay, Florida, owing to future climate and management 
scenarios are investigated in this study using high-resolution numerical 
model experiments. As one of the most ecologically diverse areas in the 
southeastern United States, Apalachicola Bay has also been a central 
economic pillar of the region with its oyster production industry. The 
salinity field in Apalachicola Bay has been found to be closely related 
to the oyster population dynamics. A high-resolution unstructured grid 
numerical model is configured for Apalachicola Bay using the Finite 
Volume Coastal Ocean Model (FVCOM). It is forced by realistic 
atmospheric forcing, boundary conditions including tides, and river 
discharges. Using the numerical model, contrast experiments are 
conducted forced by different river discharge time series, i.e., 
observed river discharge and river discharge reflective of alternative 
climate and management approaches. The model results forced by observed 
river discharge are compared with observations of water level, 
temperature, and salinity, to verify the simulation’s accuracy. Results 
of the contrast experiments are analyzed and compared to quantitatively 
investigate the impact of the climate and management changes on the 
salinity field in Apalachicola Bay for a dry year and a normal year. The 
model configuration also serves as the first step in developing an 
estuarine and coastal biophysical model of the Apalachicola Bay.


Philippe Miron: CloudDrift: Accelerating Lagrangian analyses of oceanic data

Description: “Lagrangian data” refers to oceanic and atmosphere 
information acquired by observing platforms drifting with the flow they 
are embedded within, but also more broadly refers to the data 
originating from uncrewed platforms, vehicles, and animals that gather 
data along their unrestricted but complicated paths. Because such paths 
traverse both spatial and temporal dimensions, Lagrangian data often 
convolve spatial and temporal information that cannot always and readily 
be organized, cataloged, and stored in common data structures and file 
formats with the help of common libraries and standards. For both data 
generators and data users, Lagrangian data present challenges that 
the CloudDrift project (NSF EarthCube) aims to overcome.

As part of this seminar, we will highlight those challenges using the 
Global Drifter Program dataset and propose an efficient data structure. 
Then, we will compare the adequacy of existing Python libraries (xarray, 
pandas, and awkward) for performing three common Lagrangian tasks: (i) 
binning of a variable on an Eulerian grid (e.g. mean temperature map); 
(ii) extracting data within given geographical and/or temporal windows; 
and (iii) analyses per trajectory (e.g. single statistics, Fast Fourier 
Transforms).

Olmo Zavala-Romero: PARTICLEVIZ: Open-Source Web Visualization Software 
For Lagrangian Modeling

Description: This work presents ParticleViz, an open-source software 
that builds interactive web visualizations where a large number of 
particles are animated through time. ParticleViz is designed to display 
outputs from Lagrangian experiments, which are commonly used to 
investigate dispersal of aircraft, tracers, oil spills, marine debris, 
etc. The  two core modules of this program are a preprocessing step of 
the Lagrangian locations, where data is partitioned temporally into 
multiple binary files for fast parallel on-demand transfers through the 
web. The second module builds  web interfaces with dynamic maps and 
custom controls. ParticleViz can help scientists reducing the  
time-consuming task of building plots and animations of their Lagrangian 
experiments and can provide a robust mechanism to share insights with 
the community. A customized version of this software is used to 
visualize and analyze global marine debris of mismanaged plastic waste 
(MPW) from 2010 to 2019, available at http://marinelitter.coaps.fsu.edu/.

You can access the alpha version of this software at 
https://olmozavala.github.io/particleviz/
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