Allison Jacobel

Geology

Middlebury College

Allison Jacobel is an Assistant Professor in the Department of Earth and Climate Sciences at Middlebury College, and is also a Visiting Scientist at Brown University in the Department of Earth, Environmental and Planetary Science. Allison's research interests are in paleoclimatology, paleoceanography, and marine geochemistry.

Workshop Participant, Webinar Participant, Website Contributor

Website Content Contributions

Activities (3)

Paleoclimate and Ocean Biogeochemistry part of Project EDDIE:Teaching Materials:Modules
This module guides students through an examination of how surface ocean productivity relates to global climate on glacial-interglacial timescales and how the availability of ocean nutrients can be correlated with ...

On the Cutting Edge Exemplary Collection This activity is part of the On the Cutting Edge Exemplary Teaching Activities collection.
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Climate Reconstruction from the Sedimentary Record part of Teach the Earth:Teaching Activities
This module guides students through an examination of how Earth scientists use marine sediments to reconstruct changes in Earth's past climate. They then compare records of changes in Earth's climate from ...

Ocean Carbon Storage and Acidification part of Teach the Earth:Teaching Activities
This module guides students through an examination of how Earth scientists use marine sediments to reconstruct changes in Earth's climate and the carbon cycle. In Part A, students learn about ocean ...

Other Contribution (1)

Using the Project EDDIE Ocean Biogeochemistry and Paleoclimate Module in The Earth's Climate System part of Project EDDIE:Teaching Materials:Using Project EDDIE Materials:Instructor Stories
The Ocean Biogeochemistry and Paleoclimate module guided students in an introductory climate science course through activities that enabled them to answer the question "How does ocean primary productivity influence global climate." Along the way they gained skills in plotting and interpreting time series, and examining the correlation of datasets using linear regressions.