ArticleScientific data2024
The High-resolution Urban Meteorology for Impacts Dataset (HUMID) daily for the Conterminous United States.
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 11 papers.
What it found
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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.
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.
Who cites it
11 citing papers in PubMed.
- Data Considerations for Estimating Ambient Heat Exposure for Environmental Epidemiological Studies.Current environmental health reports · 2026Review
- The High-resolution Urban Meteorology for Impacts Dataset for Atlanta Metropolitan Region (HUMID-Atlanta).Scientific data · 2026Article
- Multi-sensor microclimate and tree canopy dataset from a linden tree for green infrastructure validation.Scientific data · 2026Article
- Extreme ambient heat and outcomes of assisted reproduction in the continental United States, 1996 to 2018.Environmental research · 2026Article
- Short-term associations between ambient air pollution and emergency department visits for Parkinson disease, multiple sclerosis, migraine, and seizure in California, 2005-2018.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Article
- Identifying county-level effect modifiers of the association between heat waves and preterm birth using a Bayesian spatial meta regression approach.Spatial and spatio-temporal epidemiology · 2025Article
- Improved High Resolution Heat Exposure Assessment With Personal Weather Stations and Spatiotemporal Bayesian Models.GeoHealth · 2025Article
- Identifying county-level effect modifiers of the association between heat waves and preterm birth using a Bayesian spatial meta regression approach.medRxiv : the preprint server for health sciences · 2025Article
- Associations Between Temperature and Location of Injury or Condition Among Heat-Related Emergency Department Visits.GeoHealth · 2025Article
- Heat Waves and Early Birth: Exploring Vulnerability by Individual- and Area-Level Factors.GeoHealth · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Many current gridded surface meteorological datasets are inadequate for quantifying near-surface spatiotemporal variability because they do not fully represent the impacts of land surface heterogeneity. Of note, explicit representation of the spatial structure and magnitude of local urban warming are usually lacking. Here we enhance the representation of spatial meteorological variability over urban areas in the conterminous United States (CONUS) by employing the High-Resolution Land Data Assimilation System (HRLDAS), which accounts for the fine-scale impacts of spatiotemporally varying land surfaces on weather. We also synthesize in situ meteorological data including local mesonets to create a 1 km grid spacing model-observation fusion product spanning 1981-2018 over the CONUS at daily temporal resolution. Daily maximum, minimum, and mean values for a variety of temperature estimates, humidity, and surface energy budget terms, among others, are included. This High-resolution Urban Meteorology for Impacts Dataset (HUMID) will be useful for studies examining spatial variability of near surface meteorology and the impacts of urban heat islands across many disciplines including epidemiology, ecology, and climatology.
Identifiers
What OpenQuestion holds
Registered trials
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.