The Importance of Weather and Climate to Energy Systems A Workshop on Next Generation Challenges in Energy–Climate Modeling

• Published in: Bulletin of the American Meteorological Society Vol. 102; no. 1; pp. E159 - E167
• Main Authors: Bloomfield, H. C., Gonzalez, P. L. M., Lundquist, J. K., Stoop, L. P., Browell, J., Dargaville, R., De Felice, M., Gruber, K., Hilbers, A., Kies, A., Panteli, M., Thornton, H. E., Wohland, J., Zeyringer, M., Brayshaw, D. J.
• Format: Journal Article
• Language: English
• Published: Boston American Meteorological Society 01.01.2021
• Subjects: Anthropogenic climate changes; Anthropogenic factors; Atmospheric models; climate; Climate change; Climate models; Climate science; Climate variability; Climatic data; Datasets; Energy; Global climate; Global climate models; MEETING SUMMARY; modeling; Planning; Post-production processing; Scientists; Simulation; Variability; Weather; WIND ENERGY
• ISSN: 0003-0007; 1520-0477
• DOI: 10.1175/BAMS-D-20-0256.1

When: 22–23 June 2020 Where: Online via Zoom, hosted by the University of Reading Energy systems across the globe are becoming increasingly sensitive to weather and climate variability. Not only does the increased weather sensitivity of the energy system amplify its exposure to present-day climate variability, but anthropogenic climate change may result in changes to the distributions and spatiotemporal covariability/evolution of meteorological variables relevant for both supply and demand in the energy system. Power system dispatch and planning models can now consider a few decades of climate data, derived from historical meteorological reanalyses or global climate model (GCM) simulations. In addition to the apparent overabundance of climate data, energy system modelers lack guidance for selecting which gridded atmospheric product is most appropriate for a given purpose, as well as for adequately post-processing that data (e.g., downscaling, bias correction) before using it as an input into an energy system model.