ArticleNature communications2026
Reconciling observed and modeled estimates of urban terpenoid emissions.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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
1 citing paper in PubMed.
- Reconciling observed and modeled estimates of urban terpenoid emissions.Nature communications · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Extensive observations highlight the significance of terpenoids in urban air quality. However, emission frameworks fail to capture their magnitude and spatial variability, limiting air quality management and atmospheric modeling. Here we reconcile observed and modeled urban terpenoid emissions and uncover intense, underrepresented anthropogenic sources in Greater Los Angeles by combining improved emission inventories, airborne flux measurements, and ground-based mobile measurements. We demonstrate that an enhanced biogenic inventory significantly reduces the discrepancy between modeled and observed isoprene fluxes, and the remaining gap in monoterpenoids is explained predominantly by anthropogenic sectors. We identify that these emissions originate from previously overlooked food industry and commercial businesses, which exhibit a biogenic-like temperature dependence. These anthropogenic sources account for 44% of the top 10% observed monoterpenoid flux hotspots and contribute 17% of the total flux. Given their ubiquity in urban and industrialized regions worldwide, these poorly characterized sources may influence air quality beyond Los Angeles.
Identifiers
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Registered trials
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