Presentation Details
| Integrated day-to-hour downscaling of irradiance and temperature for climate projection Jing Huang, Marc Perez, Richard Perez. Clean Power Research, Napa, CA, USA |
Abstract
Climate projection data is commonly available at daily time resolution from sources like CMIP. However, solar PV applications typically require hourly time resolution for key variables including irradiance and temperature. To bridge this gap, we develop an integrated framework to downscale daily climate projection variables to hourly resolution. Our approach uses a t-copula to downscale irradiance and a random forest model to downscale temperature, enabling efficient, lightweight computation suitable for personal computers rather than high-performance clusters. The framework successfully reproduces the statistical distributions, diurnal structure, and daily extremes of irradiance and temperature.
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No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.
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