Evidence map›Paper›PMID 33909138›Full record

ArticleInternational journal of biometeorology2021

Improved methods for estimating mean radiant temperature in hot and sunny outdoor settings.

Jennifer K Vanos, Konrad Rykaczewski, Ariane Middel, Daniel J Vecellio, Robert D Brown, Terry J Gillespie

Abstract read
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In one paragraph

Article in International journal of biometeorology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
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

4 citing papers in PubMed, 69 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Jennifer K VanosSchool of Sustainability, Arizona State University, Tempe, AZ, USA. jvanos@asu.edu.ORCID http://orcid.org/0000-0003-1854-9096
Konrad RykaczewskiSchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA.ORCID https://orcid.org/0000-0002-5801-7177
Ariane MiddelSchool of Arts, Media and Engineering, Herberger Institute for Design and the Arts, Arizona State University, Tempe, AZ, USA.ORCID https://orcid.org/0000-0002-1565-095X
Daniel J VecellioDepartment of Geography, Texas A&M University, College Station, TX, USA.ORCID https://orcid.org/0000-0001-9431-0744
Robert D BrownDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA.ORCID https://orcid.org/0000-0001-6955-910X
Terry J GillespieSchool of Environmental Sciences, University of Guelph, Guelph, Ontario, Canada.
Arizona State University · USTexas A&M University · USUniversity of Guelph · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thermal comfort research has utilized various sensors and models to estimate the mean radiant temperature (MRT) experienced by a human, including the standard black globe thermometer (SGT), acrylic globe thermometers (AGT), and cylindrical radiation thermometers (CRT). Rather than directly measuring radiation, a temperature is measured in the center of these low-cost sensors that can be related to MRT after theoretically accounting for convection. However, these sensors have not been systematically tested under long-term hot and clear conditions. Further, under variable weather conditions, many issues can arise due to slow response times, shape, inaccuracies in material properties and assumptions, and color (albedo, emissivity) inconsistencies. Here, we assess the performance of MRT produced by various heat transfer models, with and without new average surface temperature ([Formula: see text]) correction factors, using five instruments-the SGT (15 cm, black), tan and black CRTs, gray and black 38 mm AGTs-compared to 3D integral radiation measurements. Measurements were taken on an unobscured roof throughout summer-to-early-fall months in Tempe, Arizona, examining 58 full-sun days. Deviations without correcting for asymmetrical surface heating-found to be the main cause of errors-reached ± 15-20 °C MRT. By accounting for asymmetric heating through [Formula: see text] calculations, new corrective algorithms were derived for the low-cost sensor models. Results show significant improvements in the estimated MRT error for each sensor (i.e., ∆MRT

Indexed as

Hot TemperatureSunlightArizonaHumansTemperatureWindAbsorbed radiationCylindrical radiation thermometerExtreme heatGlobe thermometerMean radiant temperatureRadiation geometry

Identifiers

PMID33909138
OpenAlexW3159570256

What OpenQuestion holds

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Registered trials

None linked

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.