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GFDL Statistical Downscaling Research Team Members & Collaborators
NOAA GFDL federal employees:
Keith Dixon, NOAA/GFDL
– Team Lead
Keith’s research focuses on the use of state-of-the-art computer models to simulate the global climate. His interest in statistical downscaling stems from a desire to assess the capabilities of climate models and downscaling methods. He also is active in the science communications arena – seeking to enhance the exchange of scientifically credible information between the realms of large-scale climate research and local-scale impacts and applications.
John is interested in climate change and climate variability on a variety of time scales. His work involves the use of statistics and data analysis techniques as applied to both observed and model (GCM) generated data. Recently his focus has shifted to the evaluation and development of statistical downscaling methods and data, with some emphasis on extremes and the use of synthetic time series to enhance the evaluation process.
Mary Jo’s efforts are focused on contributing to the development, documentation and use of the team’s statistical downscaling software infrastructure. She provides support to in-house team members in the use of off-the-shelf and custom-built software, and in the creation, access, and management of datasets associated with the team’s downscaling projects.
Engility® contract staff:
Carolyn, a 2012 graduate of Wellesley College, joined the ESD team in May 2014. Carolyn is supporting the ESD team by working on tasks that benefit from her Python and R programming skills, as well as drawing upon her experiences in the GIS and data analysis arenas.
UCAR contract staff:
Dennis joined the ESD team in June 2016. Dennis brings in-depth knowledge of statistical methods, R programming and climate data. He is supporting the creation of an empirical framework for downscaling climate model output and analyzing the results for sensitivities to the downscaling method.
Our External Collaborators
Katharine Hayhoe, Professor at Texas Tech UniversityAnne Marie Stoner, Research Associate / Post Doc at Texas Tech University
Katharine and Anne are perhaps best known for their development of the ARRM statistical downscaling method. Starting in 2012, TTU and GFDL researchers have been collaborating on evaluating the stationarity assumption in statistical downscaling applications – an effort supported, in part, by the South Central Climate Science Center.
Kenneth Boykin, Research Associate Professor at New Mexico State University
Niki Harings, Eric Salas, & Virginia Ann Seamster, Post Doctoral Research Scientists at New Mexico State University
During the early phases of a project modeling the effect of environmental change on crucial wildlife habitat, Ginny was the ecologist at New Mexico State University with whom we at GFDL most directly interacted. Ginny’s since taken a position at New Mexico Department of Game and Fish, so Niki and Eric are joining the effort This collaboration with staff and affiliates of the New Mexico Cooperative Fish and Wildlife Research Unit is supported by the USGS South Central Climate Science Center.