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GFDL Statistical Downscaling Team’s Projects & Linkages
Committees, programs, and organizations with whom we interact, as well as entities funding some of our work
Established in 2012, the South Central Climate Science Center is one of eight regional centers created by the US Department of the Interior and managed through the U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center (NCCWSC). NOAA GFDL is one of seven institutions that together comprise the Consortium of the SC CSC. The Consortium is charged with providing scientific information, tools, and techniques that resource managers and otherscan use to translate science into management decisions. Carlos Gaitán is a post-doc affiliated with the SC CSC and is stationed at GFDL. Much of GFDL’s SC CSC-related efforts have focused on statistical downscaling topics, in collaboration with colleagues at Texas Tech University (TTU, also a Consortium member institution).
- South Central Climate Science Center home page
- SC CSC 2 page fact sheet (June 2012)
- GFDL’s SC CSC web page
- A pair of one-year research proposals that directly support the GFDL – TTU statistical downscaling collaboration have been announced by the SC CSC.[2012-2013 Project] [2013-2014 Project]
- Our SC CSC-affiliated post-doc is providing statistical downscaling expertise to a SC CSC project examining projected change of flows in the Red River Basin.[2013-2015 Project]
- GFDL will provide physical climate science expertise to researchers affiliated with the New Mexico Fish and Wildlife Research Unit for a SC CSC study of the effects of environmental change on crucial wildlife habitat.[2013-2015 Project]
The NCPP effort is a collaboration of climate scientists, modelers, downscalers, and practitioners (i.e., those who use downscaled climate data for decision-support purposes). It is focused on developing an end-to-end system to connect basic climate data and climate knowledge with use in real-world applications. One goal of the NCPP is to systematically evaluate different downscaling methods (statistical and dynamical) using a community-oriented approach. Toward this end, the GFDL Perfect Model test framework has been adopted as one of the NCPP’s protocols, and as such will serve as one of the evaluation standards aimed to establish certification of the quality of downscaled climate information. Four members of GFDL’s statistical downscaling team attended the NCPP’s August 2013 Quantitative Evaluation of Downscaling workshop – a week-long event that raised the visibility of our efforts and provided us with valuable feedback and prospects for enhancing our research capabilities.
The motto of NOAA’s Climate Program Office is ?Understanding climate variability and change to enhance society?s ability to plan and respond.? Since being established in 2005, support from NOAA CPO has benefited GFDL researchers in their pursuit of increasing the scientific understanding of climate variability and change, with a focus on advancing the computer modeling of climate across a wide range of time scales. NOAA CPO support has also benefited our statistical downscaling efforts.
- May 4, 2015 – Keith Dixon delivered a presentation featuring illustrative Perfect Model experimental results at the 2016 Joint Assembly, in Montreal, Canada
- November 12, 2013 – An overview of the NCPP motivation, goals and plans, including our “Perfect Model” effort, were published in EOS.Barsugli, J. J., et al. (2013), The Practitioner’s Dilemma: How to
Assess the Credibility of Downscaled Climate Projections, Eos Trans.
AGU, 94(46), 424.
- August 12-16, 2013 – Four team members attended and presented our work at the NCPP Quantitative Evaluation of Downscaling Workshop.