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A Hybrid Dynamical–Statistical Downscaling Technique. Part I: Development and Validation of the Technique

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Daniel B. Walton, Fengpeng Sun, Alex Hall, and Scott Capps, 2015-06, A Hybrid Dynamical–Statistical Downscaling Technique. Part I: Development and Validation of the Technique: Journal of Climate, v. 28, iss. 12, 4597–4617 p.

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Abstract (from http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-14-00196.1): In this study (Part I), the mid-twenty-first-century surface air temperature increase in the entire CMIP5 ensemble is downscaled to very high resolution (2 km) over the Los Angeles region, using a new hybrid dynamical–statistical technique. This technique combines the ability of dynamical downscaling to capture finescale dynamics with the computational savings of a statistical model to downscale multiple GCMs. First, dynamical downscaling is applied to five GCMs. Guided by an understanding of the underlying local dynamics, a simple statistical model is built relating the GCM input and the dynamically downscaled output. This statistical model is used to approximate [...]

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  • National and Regional Climate Adaptation Science Centers
  • Southwest CASC

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journalJournal of Climate
parts
typedoi
value10.1175/JCLI-D-14-00196.1
typeVolume
value28
typeIssue
value12
typePages
value4597–4617

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