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

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.

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Publication Details

Journal
Scientific Data
Published
2024-12-18
DOI
https://doi.org/10.1038/s41597-024-04238-4
Citations
5
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
1.33

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

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5 citations
Scientific Data
Building Energy and Comfort Optimization
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article

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

Jiyun Song, Chenghao Wang, Janet Reyna, Chengbin Deng, Sarah Féron, Ry Horsey, Robert B. Jackson, Raúl R. Cordero, Liu D
article en
5 citations

Abstract

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.

Scientific DataVol. 11(1)
National Laboratory of the Rockies (US), University of Groningen (NL), Wuhan University (CN), Universidad Bernardo O'Higgins (CL), Palo Alto Institute (US), University of Oklahoma (US), Stanford University (US)
National Science Foundation, U.S. Department of Energy, University of Oklahoma, Agencia Nacional de Investigación y Desarrollo, National Oceanic and Atmospheric Administration, Office of Energy Efficiency and Renewable Energy, Office of Energy Efficiency
Sustainable cities and communities
Openalex Percentile: Top 20%
Building Energy and Comfort Optimization
1.33
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