CHUWD-H v1.0: a comprehensive historical hourly weather database for U.S. urban energy system modeling

Wang, Chenghao; Deng, Chengbin; Horsey, Henry; Reyna, Janet L.; Liu, Di; Feron, Sarah; Cordero, Raúl R.; Song, Jiyun; Jackson, Robert B.

doi:10.1038/s41597-024-04238-4

CHUWD-H v1.0: a comprehensive historical hourly weather database for U.S. urban energy system modeling

Journal Article · Wed Dec 18 00:00:00 EST 2024 · Scientific Data

DOI:https://doi.org/10.1038/s41597-024-04238-4· OSTI ID:2497736

^[1]; Deng, Chengbin ^[1]; ^[2]; ^[2]; Liu, Di ^[1]; Feron, Sarah ^[3]; Cordero, Raúl R. ^[4]; Song, Jiyun ^[5]; ^[6]

Univ. of Oklahoma, Norman, OK (United States)
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Univ. of Groningen (Netherlands); Universidade de Santiago de Chile (Chile)
Univ. of Groningen (Netherlands)
Wuhan Univ. (China)
Stanford Univ., CA (United States)

Reliable and continuous meteorological data are crucial for modeling the responses of energy systems and their components to weather and climate conditions, particularly in densely populated urban areas. However, existing long-term datasets often suffer from spatial and temporal gaps and inconsistencies, posing great challenges for detailed urban energy system modeling and cross-city comparison under realistic weather conditions. Here we introduce the Historical Comprehensive Hourly Urban Weather Database (CHUWD-H) v1.0, a 23-year (1998-2020) gap-free and quality-controlled hourly weather dataset covering 550 weather station locations across all urban areas in the contiguous United States. CHUWD-H v1.0 synthesizes hourly weather observations from stations with outputs from a physics-based solar radiation model and a reanalysis dataset through a multi-step gap filling approach. A 10-fold Monte Carlo cross-validation suggests that the accuracy of this gap filling approach surpasses that of conventional gap filling methods. Designed primarily for urban energy system modeling, CHUWD-H v1.0 should also support historical urban meteorological and climate studies, including the validation and evaluation of urban climate modeling.

View Accepted Manuscript (DOE)

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: National Oceanic and Atmospheric Administration (NOAA); National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 2497736

Report Number(s):: NREL/JA--5500-92631; MainId:94412; UUID:3668c32a-ba14-402e-8b67-c181aee3a7ec; MainAdminId:75664

Journal Information:: Scientific Data, Journal Name: Scientific Data Journal Issue: 1 Vol. 11; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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