14B.4 Scoping the Climate Lens on Delaware: Using Statistically Downscaled Climate Models to Inform Delaware's Climate Adaptation Plan and Community-level Planning

Thursday, 16 January 2025: 11:30 AM
243 (New Orleans Ernest N. Morial Convention Center)
Christina Callahan, University of Delaware, Newark, DE; and D. J. Leathers, K. R. Brinson, C. Hughes, M. Shatley, and E. Olamiriki

Global climate models (GCMs) provide opportunities for scientists to communicate future global climate scenarios with world leaders and communities. With the assistance of downscaling techniques, this same information can be effectively communicated at regional and state levels to assist in forward-thinking adaptation planning. This presentation will focus on the use of statistically downscaled models used to produce local-level data and messaging for use in developing the State of Delaware Climate Adaptation Plan and for support in the Delaware Climate Office research, education, and outreach efforts.

Two widely-used statistical downscaling datasets were used to produce deliverables for the State of Delaware: the Localized Constructed Analogs Version 2 (LOCA2) trained by the Livneh-unsplit data with 6km spatial resolution and the Seasonal Trends and Analysis of Residuals, Empirical-Statistical Downscaling Model (STAR-ESDM) trained by NClimGrid-Daily data with a 5km spatial resolution. Both of these datasets were used in the recent Fifth National Climate Assessment (NCA5) and have undergone a number of comparative studies, which serve as immeasurable guides to the development of a meaningful final product for our assessment. Thirteen CMIP6 models were selected for this study. Ensemble means and medians were created for Delaware climate divisions to help compare to a serially complete historical record.

Climate indicators of interest were identified based on conversations with state practitioners and their needs. In addition to the common temperature and precipitation variables, Delaware practitioners are interested in understanding how to prepare for changes in extreme heat stressors that would dramatically affect both human and agricultural environments, including the large poultry industry. Key extremes indicators such as prolonged high heat days (heat waves), changes in growing season length, and precipitation intensities will likely have serious impacts to the ecosystems in and around Delaware as well as the economy.

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner