Mauger, GuillaumeWon, Jason2022-07-082022-07-082021-12Mauger, G.S. and J.S. Won. 2021. Bias-Corrected and Dynamically-Downscaled Hourly Temperature Projections for Sea-Tac. Report prepared for Seattle City Light. Climate Impacts Group, University of Washington.http://hdl.handle.net/1773/48650Load forecasting requires hourly temperature estimates in order to better estimate energy demand. This memo describes the bias-correction approach used to develop new dynamically-downscaled projections of historical and future hourly temperatures at SeaTac. The purpose of this memo is two-fold: 1. Describe the general approach to bias correcting all WRF hourly temperatures, and 2. Describe the additional bias-correction applied to correct for anomalous cold snaps.en-USclimate adaptationclimate changetemperatureprojectionsmodelingTechnical Report