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<font face="Times New Roman, Times, serif">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.</font><br>
<p><font face="Times New Roman, Times, serif">These talks will be
presented via Zoom, with the following connection information:</font><br>
</p>
<font face="Times New Roman, Times, serif"> </font><a class="moz-txt-link-freetext" href="https://fsu.zoom.us/j/98491660566?pwd=NzBxNzN4LzdsbSs4R3B6RzliOGhhdz09" moz-do-not-send="true">https://fsu.zoom.us/j/98491660566?pwd=NzBxNzN4LzdsbSs4R3B6RzliOGhhdz09</a><br>
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Meeting ID: 984 9166 0566<br>
<p> Passcode: 478314</p>
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<p>Xu Chen: Modeling the potential impact of future climate and
water management scenarios on the hydrography of Apalachicola Bay,
Florida.</p>
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<div>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.</div>
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<div>Philippe Miron: CloudDrift: Accelerating Lagrangian analyses of
oceanic data<br class="">
<br class="">
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. <br class="">
<br class="">
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).</div>
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<div>Olmo Zavala-Romero: PARTICLEVIZ: Open-Source Web Visualization
Software For Lagrangian Modeling
<p>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 <a class="moz-txt-link-freetext" href="http://marinelitter.coaps.fsu.edu/">http://marinelitter.coaps.fsu.edu/</a>.
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You can access the alpha version of this software at <a class="moz-txt-link-freetext" href="https://urldefense.com/v3/__https://olmozavala.github.io/particleviz/__;!!PhOWcWs!gQ_Ezfv9AnGQgTpKf92Aac0PbLEXk2vSw6NFe4oAO1wRltuVru_0rxIRODofsb3n$">https://olmozavala.github.io/particleviz/</a></div>
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