Accuracy of daily extreme air temperatures under natural variations in thermometer screen ventilation

Abstract Accurate air temperatures underpin environmental research. Most professional meteorological air temperature measurements still expose thermometers within traditional, naturally ventilated screens. Their representation of true air temperature depends on screen airflow, and therefore local winds. Accuracies of daily maximum ( T max ) and minimum ( T min ) air temperatures are assessed by comparison between a naturally ventilated large conventional screen and a co‐located aspirated reference screen. In over 1200 days' data, the naturally ventilated T min and T max both showed small (median < 0.06°C) cold bias, but, in 1% of cases, warm T max bias and cold T min bias >|1°C|. The T min cold bias is associated with calm clear nights, and the T max warm bias events with calm winter days at low sun angles, allowing solar heating of the screen. The prevalence of poor natural ventilation, potentially affecting T min and T max , is estimated across European sites. Poor ventilation occurred at T min for 12% of values, and at T max for 4%. Climatological averaging will reduce these effects, but, without corroborating wind data, statistical changes in T min or T max , including identifying “Tropical Nights” ( T min > 20°C) or occurrences of winter extremes, may have limited value. Wider adoption of aspirated thermometer screens, with an initial overlap period, will largely eliminate these effects.

Authors

Institutions

Publication Details

Journal
Atmospheric Science Letters
Published
2024-08-15
DOI
https://doi.org/10.1002/asl.1256
Citations
4
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
0.82

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accuracy of daily extreme air temperatures under natural variations in thermometer screen ventilation

Stephen Burt, R. G. Harrison
4 citations
Atmospheric Science Letters
Urban Heat Island Mitigation
0.82
article

Accuracy of daily extreme air temperatures under natural variations in thermometer screen ventilation

Stephen Burt, R. G. Harrison
article en
4 citations

Abstract

Abstract Accurate air temperatures underpin environmental research. Most professional meteorological air temperature measurements still expose thermometers within traditional, naturally ventilated screens. Their representation of true air temperature depends on screen airflow, and therefore local winds. Accuracies of daily maximum ( T max ) and minimum ( T min ) air temperatures are assessed by comparison between a naturally ventilated large conventional screen and a co‐located aspirated reference screen. In over 1200 days' data, the naturally ventilated T min and T max both showed small (median < 0.06°C) cold bias, but, in 1% of cases, warm T max bias and cold T min bias >|1°C|. The T min cold bias is associated with calm clear nights, and the T max warm bias events with calm winter days at low sun angles, allowing solar heating of the screen. The prevalence of poor natural ventilation, potentially affecting T min and T max , is estimated across European sites. Poor ventilation occurred at T min for 12% of values, and at T max for 4%. Climatological averaging will reduce these effects, but, without corroborating wind data, statistical changes in T min or T max , including identifying “Tropical Nights” ( T min > 20°C) or occurrences of winter extremes, may have limited value. Wider adoption of aspirated thermometer screens, with an initial overlap period, will largely eliminate these effects.

Atmospheric Science LettersVol. 25(10)
University of Reading (GB)
Met Office
Climate action
Openalex Percentile: Top 31%
Urban Heat Island Mitigation
0.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.