ArticleScientific reports2025
Local hourly trends in near-surface and land surface temperatures.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Two-decade in-situ oceanographic and meteorological observations from Ieodo Ocean Research Station in the northern East China Sea.Scientific data · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Essential Climate Variables, such as near-surface (T2m) and land surface temperatures (LST), are typically reported in Coordinated Universal Time (UTC) for global consistency. However, their diurnal variability leads to temperature trends that differ by the local hour, a factor not analyzed on the global nor regional scale. Using ECMWF ERA5-Land reanalysis data (1981-2022), we assess temperature trends by local hour and month. Our results show that the trends can change significantly during the day. LST and T2m warming or cooling trends peak in the afternoon, while showing large spatial variability across both hemispheres. Using MODIS observations, we show how the nominal Equator crossing times of TERRA and AQUA influence LST trends. These findings highlight the necessity of accounting for local time in climate assessments to improve adaptation strategies.
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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.