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Climapp—integrating personal factors with weather forecasts for individualised warning and guidance on thermal stress

Kingma, B. R.M. ; Steenhoff, H. ; Toftum, J. ; Daanen, H. A.M. ; Folkerts, M. A. ; Gerrett, N. ; Gao, C. LU ; Kuklane, K. LU ; Petersson, J. LU and Halder, A. LU orcid , et al. (2021) In International Journal of Environmental Research and Public Health 18(21).
Abstract

This paper describes the functional development of the ClimApp tool (available for free on iOS and Android devices), which combines current and 24 h weather forecasting with individual information to offer personalised guidance related to thermal exposure. Heat and cold stress assessments are based on ISO standards and thermal models where environmental settings and personal factors are integrated into the ClimApp index ranging from −4 (extremely cold) to +4 (extremely hot), while a range of −1 and +1 signifies low thermal stress. Advice for individuals or for groups is available, and the user can customise the model input according to their personal situation, including activity level, clothing, body characteristics, heat... (More)

This paper describes the functional development of the ClimApp tool (available for free on iOS and Android devices), which combines current and 24 h weather forecasting with individual information to offer personalised guidance related to thermal exposure. Heat and cold stress assessments are based on ISO standards and thermal models where environmental settings and personal factors are integrated into the ClimApp index ranging from −4 (extremely cold) to +4 (extremely hot), while a range of −1 and +1 signifies low thermal stress. Advice for individuals or for groups is available, and the user can customise the model input according to their personal situation, including activity level, clothing, body characteristics, heat acclimatisation, indoor or outdoor situation, and geographical location. ClimApp output consists of a weather summary, a brief assessment of the thermal situation, and a thermal stress warning. Advice is provided via infographics and text depending on the user profile. ClimApp is available in 10 languages: English, Danish, Dutch, Swedish, Norwegian, Hellenic (Greek), Italian, German, Spanish and French. The tool also includes a research functionality providing a platform for worker and citizen science projects to collect individual data on physical thermal strain and the experienced thermal strain. The application may therefore improve the translation of heat and cold risk assessments and guidance for subpopulations. ClimApp provides the framework for personalising and downscaling weather reports, alerts and advice at the personal level, based on GPS location and adjustable input of individual factors.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Cold assessment, Heat assessment, Human thermal models, Mobile application
in
International Journal of Environmental Research and Public Health
volume
18
issue
21
article number
11317
publisher
MDPI AG
external identifiers
  • scopus:85117951648
  • pmid:34769832
ISSN
1661-7827
DOI
10.3390/ijerph182111317
project
Translating climate service into personalized adaptation strategies to cope with thermal climate stress
language
English
LU publication?
yes
additional info
Funding Information: The study was supported financially by the ClimApp project, which is a part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by Svenska Forskningsr?det Formas: 2017-01739; DK Innovationsfonden: 7110-00003B; DK Innovationsfonden: 7110-00004B; Nederlandse Organisatie voor Wetenschappelijk Onderzoek: 438.17.806; with co-funding by the European Union (Grant 690462). Funding Information: Funding: The study was supported financially by the ClimApp project, which is a part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by Svenska Forskningsrådet Formas: 2017-01739; DK Innovationsfonden: 7110-00003B; DK Innovationsfonden: 7110-00004B; Nederlandse Organisa-tie voor Wetenschappelijk Onderzoek: 438.17.806; with co-funding by the European Union (Grant 690462). Publisher Copyright: © 2021 by the author. Licensee MDPI, Basel, Switzerland.
id
bb2c2cf6-9340-4619-a868-8e5757ee157c
date added to LUP
2021-11-05 13:55:37
date last changed
2024-06-16 22:32:26
@article{bb2c2cf6-9340-4619-a868-8e5757ee157c,
  abstract     = {{<p>This paper describes the functional development of the ClimApp tool (available for free on iOS and Android devices), which combines current and 24 h weather forecasting with individual information to offer personalised guidance related to thermal exposure. Heat and cold stress assessments are based on ISO standards and thermal models where environmental settings and personal factors are integrated into the ClimApp index ranging from −4 (extremely cold) to +4 (extremely hot), while a range of −1 and +1 signifies low thermal stress. Advice for individuals or for groups is available, and the user can customise the model input according to their personal situation, including activity level, clothing, body characteristics, heat acclimatisation, indoor or outdoor situation, and geographical location. ClimApp output consists of a weather summary, a brief assessment of the thermal situation, and a thermal stress warning. Advice is provided via infographics and text depending on the user profile. ClimApp is available in 10 languages: English, Danish, Dutch, Swedish, Norwegian, Hellenic (Greek), Italian, German, Spanish and French. The tool also includes a research functionality providing a platform for worker and citizen science projects to collect individual data on physical thermal strain and the experienced thermal strain. The application may therefore improve the translation of heat and cold risk assessments and guidance for subpopulations. ClimApp provides the framework for personalising and downscaling weather reports, alerts and advice at the personal level, based on GPS location and adjustable input of individual factors.</p>}},
  author       = {{Kingma, B. R.M. and Steenhoff, H. and Toftum, J. and Daanen, H. A.M. and Folkerts, M. A. and Gerrett, N. and Gao, C. and Kuklane, K. and Petersson, J. and Halder, A. and Zuurbier, M. and Garland, S. W. and Nybo, L.}},
  issn         = {{1661-7827}},
  keywords     = {{Cold assessment; Heat assessment; Human thermal models; Mobile application}},
  language     = {{eng}},
  month        = {{11}},
  number       = {{21}},
  publisher    = {{MDPI AG}},
  series       = {{International Journal of Environmental Research and Public Health}},
  title        = {{Climapp—integrating personal factors with weather forecasts for individualised warning and guidance on thermal stress}},
  url          = {{http://dx.doi.org/10.3390/ijerph182111317}},
  doi          = {{10.3390/ijerph182111317}},
  volume       = {{18}},
  year         = {{2021}},
}