Bias-Corrected and Dynamically-Downscaled Hourly Temperature Projections for Sea-Tac

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Authors

Mauger, Guillaume
Won, Jason

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University of Washington Climate Impacts Group

Abstract

Load 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.

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Citation

Mauger, 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.

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