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SOLWEIG 1.0 – Modelling spatial variations of 3D radiant fluxes and mean radiant temperature in complex urban settings
Abstract
The mean radiant temperature, T(mrt), which sums up all shortwave and longwave radiation fluxes (both direct and reflected) to which the human body is exposed is one of the key meteorological parameters governing human energy balance and the thermal comfort of man. In this paper, a new radiation model (SOLWEIG 1.0), which simulates spatial variations of 3D radiation fluxes and T(mrt) in complex urban settings, is presented. The T(mrt) is derived by modelling shortwave and longwave radiation fluxes in six directions (upward, downward and from the four cardinal points) and angular factors. The model requires a limited number of inputs, such as direct, diffuse and global shortwave radiation, air temperature, relative humidity, urban geometry and geographical information (latitude, longitude and elevation). The model was evaluated using 7 days of integral radiation measurements at two sites with different building geometries--a large square and a small courtyard in Göteborg, Sweden (57 degrees N)--across different seasons and in various weather conditions. The evaluation reveals good agreement between modelled and measured values of T(mrt), with an overall good correspondence of R (2) = 0.94, (p < 0.01, RMSE = 4.8 K). SOLWEIG 1.0 is still under development. Future work will incorporate a vegetation scheme, as well as an improvement of the estimation of fluxes from the four cardinal points.
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“However, not only Tmrt but also Tg, Tnw can be indirectly estimated using various models based weather station data, geographical locations, time of the day, day of the year, etc. (Matzarakis et al. 2007; Lindberg et al. 2008; Schreier et al. 2013; Błażejczyk et al. 2014; Kruger et al. 2014).”
From Occupational heat stress assessment and protective strategies in the context of climate change (2018) · cites this paper as Lindberg et al. 2008
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“However, not only Tmrt but also Tg, Tnw can be indirectly estimated using various models based weather station data, geographical locations, time of the day, day of the year, etc. (Matzarakis et al. 2007; Lindberg et al. 2008; Schreier et al. 2013; Błażejczyk et al. 2014; Kruger et al. 2014).”
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Metadata
- Authors
- Lindberg, F., Holmer, B., & Thorsson, S.
- Affiliations
- University of Gothenburg (SE)
- Corresponding author
- Lindberg, Fredrik
- Venue
- International Journal of Biometeorology
- Published
- 2008-06-04
- Volume
- 52
- Issue
- 7
- Pages
- 697-713
- ISSN
- 0020-7128 (ISSN-L)
- 1432-1254
- OpenAlex
- W2029291334
- Cited by
- 574
- References
- 30
- Citations by year
- 2026: 88 · 2025: 68 · 2024: 45 · 2023: 46 · 2022: 42 · 2021: 37 · 2020: 50 · 2019: 37 · 2018: 36 · 2017: 27 · 2016: 23 · 2015: 22 · 2014: 18 · 2013: 13 · 2012: 5
- FWCI
- 5.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Biometeorology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Svenska Forskningsrådet Formas
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Environmental Science › Environmental Engineering › Wind and Air Flow Studies
- Keywords
- mean radiant temperature, SOLWEIG, shortwave radiation, longwave radiation, urban microclimate, thermal comfort, human energy balance, radiation model, urban geometry, building geometry, courtyards
- MeSH terms
- Algorithms, Cities, Data Interpretation, Statistical, Environmental Monitoring, Hot Temperature, Radiation Dosage, Radiometry, Scattering, Radiation, Software, Temperature, Thermography, Models, Statistical, Ecosystem
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