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Atmospheric Sciences and Global Change
  • Pacific storm track simulation

    Uncovering Global Effects of Clouds on Climate

    Scientists from Texas A&M and PNNL provided a first-time global perspective of the impacts of Asian pollution on the Pacific storm track and subsequent weather. They found that a unique modeling technique developed at PNNL allowed them to understand the global scale effect of tiny pollution particles to strengthen storm clouds and rain.

  • Herd of cattle at a watering hole

    Agriculture's Growing Effects on Rain

    Increased agricultural activity is a rain taker, not a rain maker, according to researchers at PNNL and their collaborators at UCLA and the University of Texas. They found the expansion of agriculture in the African Sahel region decreases summer rainfall through its impact on monsoon rains. The model simulations show a decrease in summer rainfall reaches 10 percent over the Sahel, a region that is already stressed by water demand for human and ecological use.

  • Riihimaki Recipient of Lab Director Honor, Fitzner-Eberhardt Award

    Congratulations to Dr. Laura Riihimaki, atmospheric scientist Pacific Northwest National Laboratory, who was selected one of three winners of the 2014 PNNL Lab Director's Fitzner/Eberhardt Awards for Outstanding Contributions to Science and
    Engineering Education. Her exceptional dedication to improving climate understanding is helping to shape the next-generation of scientists.

  • Bond-Lamberty Appointed to Global Change Biology Editorial Board

    Congratulations to Dr. Ben Bond-Lamberty, a PNNL terrestrial scientist working out of the Joint Global Climate Research Institute (JGCRI), who was appointed to a three-year term on the Editorial Advisory Board of Global Change Biology. Bond-Lamberty has research expertise in climate change, carbon cycle, and ecosystem modeling. JGCRI is a partnership between Pacific Northwest National Laboratory and the University of Maryland.

  • Clarifying the Uncertain

    To test the uncertainty characterization process applied with the PRIMA framework and develop a decision-focused sensitivity analysis to identify factors that most influence stakeholder decisions, PNNL scientists used a fractional-factorial analysis of building energy and climate policies under multiple uncertainty scenarios, which reduced the number of model runs needed to successfully identify and compare key sensitivities.

How do human activities and natural systems interact to affect the Earth's climate? Ultimately, that is the question challenging scientists in PNNL’s Atmospheric Sciences & Global Change Division.

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Atmospheric Sciences & Global Change

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