Research

Research Theme: Human Dimensions

Here is an atmospheric-level view of all the Human Dimensions
research and happenings at INSTAAR.

Research that addresses the effects of humans on the environment through their actions, behavior, beliefs, and use of land and resources; and how people are affected by the environment: health, natural hazards and disasters, and resources. Archaeological research is included in this category.

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Recent Publications

Jorge Ivan Ramírez, Lee, J., Grady, S. C. 2018: Mapping multi-disease risk during El Niño: An ecosyndemic approach. International Journal of Environmental Research and Public Health, 15(12): article 2639. DOI: 10.3390/ijerph15122639

Oltmans, S. J., Cheadle, L. C., Johnson, B. J., Schnell, R. C., Detlev Helmig, Thompson, A. M., Cullis, P., Hall, E., Jordan, A., Sterling, C., McClure-Begley, A., Sullivan, J., McGee, T. J., Wolfe, D. 2019: Boundary layer ozone in the Northern Colorado Front Range in July-August 2014 during FRAPPE and DISCOVER-AQ from vertical profile measurements. Elementa: Science of the Anthropocene, 7(6): article 6. DOI: 10.1525/elementa.345

Tzompa-Sosa, Z. A., Henderson, B. H., Keller, C. A., Travis, K., Mahieu, E., Franco, B., Estes, M., Detlev HelmigAlan FriedDirk RichterPetter WeibringJames Walega, Blake, D. R, Hannigan, J. W., Ortega, I., Conway, S., Strong, K., Fischer, E. V. 2019: Atmospheric implications of large C2-C5 alkane emissions from the US oil and gas industry. Journal of Geophysical Research—Atmospheres, 124(2): 1148-1169. DOI: 10.1029/2018JD028955

Moon, T. A., Irina Overeem, Druckenmiller, M., Holland, M., Huntington, H., Kling, G., Lovecraft, A. L., Gifford H. Miller, Scambos, T., Schädel, C., Schuur, E. A. G., Trochim, E., Wiese, F., Williams, D., Wong, G. 2019: The expanding footprint of rapid Arctic change. Earth's Future, accepted. DOI: 10.1029/2018EF001088

Mitra, R., Tom Marchitto, Ge, Q., Zhong, B., Kanakiya, B., Cook, M. S., Fehrenbacher, J. S., Ortiz, J. D., Tripati, A., Lobaton, E. 2019: Automated species-level identification of planktic foraminifera using convolutional neural networks, with comparison to human performance. Marine Micropaleontology, 147: 16-24. DOI: 10.1016/j.marmicro.2019.01.005

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