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Kevin Arrigo

Kevin Arrigo

Affiliate
Donald and Donald M. Steel Professor in Earth Sciences and Director, Earth Systems Program
Earth, Energy & Environmental Sciences
Kevin Arrigo received his B.S in Natural Resources from the University of Michigan in 1983. After working for the Michigan Department of Natural Resources, he attended the University of Southern California where he earned his Ph.D. in Biological Sciences in 1992. He went on to a postdoctoral position at the NASA Goddard Space Flight Center and became a civil servant there in 1995. In 1999, he joined the Stanford University faculty as an Assistant Professor in the Department of Geophysics, where he stayed until 2007 when he joined the Department of Environmental Earth System Science. Arrigo served as director of the interdisciplinary Graduate Program in Earth, Energy, and Environmental Sciences from 2005-2013. In 2012, he became co-director of the Earth Systems Program within the School of Earth Sciences. He has served on a number of university committees, including the Committee on Academic Computing and Information Services (2010-2012), Committee for the Review of Undergraduate Majors (2010-2013), and the Bing Overseas Studies Faculty Oversight Committee (2011-present). As a biological oceanographer, his principal interest has been in the role marine microalgae play in modulating the cycling of carbon and nitrogen, with particular emphasis on the scales of temporal and spatial variability of biological productivity in polar oceans. This knowledge is essential to understanding how anthropogenic and atmospheric forcing controls the biogenic flux of carbon dioxide into the oceans, and ultimately, to the sediments. His research is highly interdisciplinary and incorporates three fundamental approaches, (1) satellite remote sensing, (2) ecophysiological modeling, and (3) laboratory and field studies. By combining these techniques, it is possible to address many complex aspects of ocean biogeochemistry at spatial and temporal scales that would not be possible using a single approach