Publication Date:
2022-05-25
Description:
Author Posting. © Oceanography Society, 2010. This article is posted here by permission of Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 23, no. 3 (2010): 126-139, doi: 10.5670/oceanog.2010.28
Description:
Through its promotion of coordinated
international research programs, the
Intergovernmental Oceanographic
Commission (IOC) has facilitated
major progress on some of the most
challenging problems in oceanography.
Issues of global significance—such as
general ocean circulation, the carbon
cycle, the structure and dynamics
of ecosystems, and harmful algal
blooms—are so large in scope that
they require international collaboration
to be addressed systematically.
International collaborations are even
more important when these issues are
affected by anthropogenic processes—
such as climate change, CO2 enhancement,
ocean acidification, pollution,
and eutrophication—whose impacts
may differ greatly throughout the global
ocean. These problems require an entire
portfolio of research activities, including
global surveys, regional process studies,
time-series observations, laboratorybased
investigations, and satellite remote
sensing. Synthesis of this vast array of
results presents its own set of challenges
(Hofmann et al., 2010), and models
offer an explicit framework for integration
of the knowledge gained as well as
detailed investigation of the underlying
dynamics. Models help us to understand
what happened in the past, and to make
predictions of future changes—both
of which support the development of
sound policy and decision making. We
review examples of how models have
been used for this suite of purposes,
focusing on areas where IOC played a
key role in organizing and coordinating
the research activities.
Description:
Support from the
National Science Foundation, National
Aeronautics and Space Administration,
National Oceanic and Atmospheric
Administration, and National Institute
of Environmental Health Sciences.
DS acknowledges CLISAP (Integrated
Climate System Analysis and Prediction)
at the KlimaCampus of the University
of Hamburg. PG acknowledges SCOR/
LOICZ Working Group 132.
Repository Name:
Woods Hole Open Access Server
Type:
Article
Format:
application/pdf
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