Evidence map›Paper›PMID 39695236›Full record

ArticleScientific data2024

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

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chenghao WangSchool of Meteorology, University of Oklahoma, Norman, OK, USA. chenghao.wang@ou.edu.ORCID http://orcid.org/0000-0001-8846-4130
Chengbin DengDepartment of Geography and Environmental Sustainability, University of Oklahoma, Norman, OK, USA.
Henry HorseyNational Renewable Energy Laboratory, Golden, CO, USA.
Janet L ReynaNational Renewable Energy Laboratory, Golden, CO, USA.
Di LiuDepartment of Geography and Environmental Sustainability, University of Oklahoma, Norman, OK, USA.
Sarah FeronKnowledge Infrastructure, University of Groningen, Wirdumerdijk 34, 8911, CE, Leeuwarden, Netherlands.
Raúl R CorderoKnowledge Infrastructure, University of Groningen, Wirdumerdijk 34, 8911, CE, Leeuwarden, Netherlands.
Jiyun SongState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China.
Robert B JacksonDepartment of Earth System Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-8846-7147

Funding

National Science Foundation (NSF) CNS-2301858National Science Foundation (NSF) OIA-2327435United States Department of Commerce | National Oceanic and Atmospheric Administration (NOAA) NA21OAR4590361University of Oklahoma (OU) Data Institute for Societal Challenges Seed Funding Grant
6 · The paper itself

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.

Identifiers

PMID39695236
PMCPMC11655666

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.