GFDL - Geophysical Fluid Dynamics Laboratory

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GFDL Statistical Downscaling Team’s Projects & Linkages

Programs and organizations with whom we interact, as well as entities funding some of our work

[SC CSC]  [ESTCP]  [NCPP]  [NOAA CPO]


Current Projects & Linkages

 

[South Central Climate Science Center logo]
SC CSC: South Central Climate Science Center
Established in 2012, the South Central Climate Science Center (SC CSC) 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 others can use to translate science into management decisions. Much of GFDL’s SC CSC-related efforts have focused on statistical downscaling topics, in collaboration with colleagues at Texas Tech University (TTU) and the University of Oklahoma (OU).

 

[ESTCP logo]
ESTCP: DoD Environmental Security Technology Certification Program
In 2017, the NOAA-GFDL ESD team began partnering on a DoD ESTCP-funded project with researchers affiliated with three entities in Boulder, CO; namely NCAR-IMAGe-RISC, NOAA-ESRL PSD, and its CIRES-Univ. of Colorado cooperative institute. The ESTCP project consists of two main phases. Both phases use input data sets derived from regional dynamic climate models run as part of the North American Coordinated Regional Climate Downscaling Experiment (NA-CORDEX) program. At GFDL, we are using these inputs as we expand and extend our previous perfect model evaluation framework for assessing key aspects statistical downscaling method performance as applied to future climate projections.

 


Past Projects & Linkages

[NCPP logo]
NCPP: National Climate Predictions & Projections Platform
The NCPP effort was a collaboration of climate scientists, modelers, downscalers, and practitioners (i.e., those who use downscaled climate data for decision-support purposes). It aimed to develop an end-to-end system to connect basic climate data and climate knowledge with use in real-world applications. Toward this end, the GFDL Perfect Model test framework was adopted as one of the NCPP’s protocols. 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 GFDL-based efforts and provided us with valuable feedback and prospects for enhancing our research capabilities. This effort effectively ended a few years ago.
  • An overview of the NCPP motivation, goals and plans, including our team’s “Perfect Model” effort, were published as…
    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. [LINK]

 

[NOAA Climate Program Office logo]
NOAA CPO: National Oceanic & Atmospheric Administration Climate Program Office
Since being established in 2005, support from NOAA CPO has benefited various 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. When our team was first formed, support of the NCPP (above) by the NOAA CPO Modeling, Analysis, Predictions and Projections (MAPP) program benefited our statistical downscaling efforts.  Support of our team’s work by NOAA CPO ended a few years ago.