SIParCS 2023 - Kenton Wu
Kenton Wu, University of Texas at Austin
Creating Bias-Corrected Global Model Output to Support Regional Climate Research
The goal of this project is to work with an NCAR scientist to update and improve existing software to create a new version of an existing global bias-corrected climate dataset that is built from the NCAR Community Earth System Model (CESM) output. The previous version of this dataset was produced under phase 5 of the Coupled Model Intercomparison Project (CMIP5), and the new updated dataset produced in this internship will be built from CESM output as part of the newer CMIP6 initiative and which supports the Intergovernmental Panel on Climate Change Sixth Assessment Report (IPCC AR6). Since all global climate models contain regional scale biases due to insufficient spatial resolution and limited representation of some physical processes, it is common to bias correct the climate model output before using it as input to regional scale models. This new dataset will provide a valuable community resource for regional climate researchers to run numerical simulation experiments based on the most recent climate model predictions, and use the results to determine the expected regional and local impacts from a range of future climate change scenarios. Additionally, the intern will gain experience in data curation, management, and preservation by archiving the new dataset in the NCAR Research Data Archive.
Mentors: Thomas Cram, Cindy Bruyere (CPAESS), Riley Conroy
Slides and poster