Environmental Internship Program - 2019 Booklet
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Lauren von Berg ’20<br />
COMPUTER SCIENCE<br />
CLIMATE CHANGE AND<br />
ENVIRONMENTAL SCIENCE<br />
PROJECT TITLE<br />
Maud Rise Polynyas<br />
Linked to Largest<br />
Phytoplankton Bloom in<br />
Southern Ocean<br />
ORGANIZATION(S)<br />
Scripps Institution of<br />
Oceanography, University<br />
of California–San Diego<br />
LOCATION(S)<br />
La Jolla, California<br />
MENTOR(S)<br />
Sarah Gille, Professor,<br />
Scripps Institution of<br />
Oceanography;<br />
Lynne Talley, Professor,<br />
Scripps Institution of<br />
Oceanography;<br />
Matt Mazloff,<br />
Associate Researcher,<br />
Scripps Institution of<br />
Oceanography;<br />
Channing Prend,<br />
Ph.D. candidate,<br />
Scripps Institution<br />
of Oceanography<br />
I studied the Maud Rise, a large seamount in<br />
the Southern Ocean associated with strong<br />
upwelling and weak stratification. Maud Rise<br />
experiences rare polynya events during which<br />
a hole forms in the seasonal sea ice above it,<br />
the most recent of which occurred in 2016<br />
and 2017. My goal was to determine how these<br />
polynyas affect phytoplankton blooms near<br />
Maud Rise by using the biogeochemical data<br />
collected by the autonomous Argo floats that<br />
circulate the region to estimate chlorophyll<br />
and concentrations of particulate organic<br />
carbon. I used Python to analyze the relevant<br />
float data in conjunction with satellite sea-ice<br />
and reanalysis data. This allowed my group<br />
to develop hypotheses linking the two recent<br />
polynyas to observed changes in phytoplankton<br />
bloom timing, size and vertical structure. During<br />
my research, I learned a lot about Python data<br />
analysis and data visualization tools, as well as<br />
about oceanography. This internship was a very<br />
positive research experience and showed me<br />
that I would like to be involved in science as a<br />
computer science concentrator.<br />
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