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Atmospher Sci & Global Chg

January 2018

PNNL Researchers Co-Author National Science Review's Most Read Paper of 2017

Pacific Northwest National Laboratory researchers Ghassem Asrar and Fernando Miralles-Wilhelm are co-authors of National Science Review's most read paper of 2017. Their paper has received close to 7,900 views on the journal's website.

National Science Review published the paper, "Modeling sustainability: population, inequality, consumption, and bidirectional coupling of the Earth and Human Systems," in December 2016. The paper argues that Earth and human system models must be coupled bidirectionally to get a better understanding of how these systems influence each other. Otherwise, critical feedbacks from population and demographics to the Earth system, and impacts of Earth system changes on different human systems, are missed. The paper calls for collaboration among natural and social scientists and engineers in multidisciplinary research and modeling to develop coupled Earth-human system models.

National Science Review, a freely available online, peer-reviewed journal, looks at cutting-edge scientific and technological developments in China and around the world. It explores all areas of natural sciences, including Earth, life, and information sciences. With a Journal Impact Factor of 8.8 according to the latest Journal Citation Reports (Clarivate Analytics, 2017), National Science Review ranks fifth out of 64 journals in the Multidisciplinary Sciences category.

Asrar and Miralles-Wilhelm work at the Joint Global Change Research Institute (JGCRI), a collaboration between PNNL and the University of Maryland, College Park. Asrar is the JGCRI director. Miralles-Wilhelm, a water resources research scientist, is interim director of the Earth System Science Interdisciplinary Center at the University of Maryland. He has a joint appointment with JGCRI/PNNL.

Asrar and Miralles-Wilhelm co-authored the paper with researchers from the University of Maryland, College Park; the Institute for Global Environment and Society; the University Corporation for Atmospheric Research; Johns Hopkins University; NASA Goddard Space Flight Center; Columbia University; Brown University; RIKEN Advanced Institute for Computational Science (Japan); Northeastern University; and George Mason University.

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