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Latest News

  • Now Accepting Applications: Early Career Researcher Professional Development Training

    2.19.2018 (Mon)

    We are pleased to announce our third Early Career Researcher Professional Development Training designed for graduate students, postdocs, and early… Read More »

  • Application Open: Undergraduate Summer Internship for Underrepresented Minorities

    1.08.2018 (Mon)

    We are pleased to announce that we will be offering a summer undergraduate internship opportunity in 2018 for students ofRead More »

  • SC CSC Researchers Seeking Freshwater Conservation Postdoctoral Associate

    9.01.2017 (Fri)

    The OU Department of Geography and Environmental Sustainability is seeking a postdoctoral researcher. The selected candidate would join an interdisciplinary… Read More »

Research Highlight

Climate Data to Improve Decision-Making: Collaborating with the NOAA Geophysical Fluid Dynamics Lab

12.14.2017 (Thu)

NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL) has been an essential part of the South Central Climate Science Center’s consortium of partner organizations since 2012. As world leaders in global and regional climate modeling, NOAA GFDL researchers provide the climate science knowledge and technical expertise necessary to close critical climate information gaps in the south central region. With SC CSC funding, NOAA GFDL and SC CSC researchers are developing projections and maps that provide users with potential future temperature and precipitation changes through 2100. SC CSC stakeholders have already incorporated this information into their planning efforts to address local management concerns.

Recent publications resulting from this collaborative work include:

Some Pitfalls in Downscaling of Future Climate. Bulletin of the American Meteorological Society. While localized climate projections are extremely valuable for a variety of SC CSC stakeholders, this publication highlights specific circumstances in which they might not be ideal for use in decision-making.

Evaluating the stationarity assumption in statistically downscaled climate projections: is past performance an indicator of future results? Climatic Change. This research contributes to generating more reliable local-scale climate projections by testing the assumption that the climatological relationships which existed in the past will continue to exist in the future.

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Our Vision Statement

We are a regional partnership of researchers, land managers, and tribes working collaboratively to develop science that addresses climate impacts on natural and human communities.