Causal inference using observational data - case studies in climate science
We are in an era where atmospheric science is data-rich in both observations (e.g., satellite/ sensor data) and model output. Our goal with causal discovery is to apply suitable data science approaches to climate data to make inferences about the cause-effect relationships between climate variables. In this research, we focus on using observational studies, an approach that does not rely on controlled experiments, to infer cause-effect. Due to reasons such as latent variables, these observational studies do not allow us to prove causal relationships. Nevertheless, they provide data-driven ...
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Samarasinghe, Savini M.
born digital; doctoral dissertations
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Aspen mortality in the Colorado and southern Wyoming Rocky Mountains: extent, severity, and causal factors Author(s):Dudley, MeganDate Issued:2011Format:born digital; masters thesesQuaking aspen (Populus tremuloides Michx) is a deciduous hardwood tree widely distributed throughout North America. In Colorado, quaking aspen is found on a wide variety of sites, from the lower-elevation foothills of the ...
Intraspecific variability of Geosmithia morbida the causal agent of thousand cankers disease, and effects of temperature, isolate and host family (Juglans nigra) on canker development Author(s):Freeland, EmilyDate Issued:2012Format:born digital; masters thesesSince the mid-1990's widespread mortality of Black Walnut (Juglans nigra) in the western United States has been noted. This mortality is the result of aggressive feeding of the Walnut twig beetle (Pityophthorus juglandis) ...
Author(s):Josey, Kevin PatrickDate Issued:2020Format:born digital; doctoral dissertationsNearly every discussion of a clinical research study includes an evaluation of internal and external validity. While randomized clinical trials can overcome several threats to internal validity, they may be prone to poor ...