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      Mean radiant temperature from global-scale numerical weather prediction models

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          Abstract

          In human biometeorology, the estimation of mean radiant temperature (MRT) is generally considered challenging. This work presents a general framework to compute the MRT at the global scale for a human subject placed in an outdoor environment and irradiated by solar and thermal radiation both directly and diffusely. The proposed framework requires as input radiation fluxes computed by numerical weather prediction (NWP) models and generates as output gridded globe-wide maps of MRT. It also considers changes in the Sun’s position affecting radiation components when these are stored by NWP models as an accumulated-over-time quantity. The applicability of the framework was demonstrated using NWP reanalysis radiation data from the European Centre for Medium-Range Weather Forecasts. Mapped distributions of MRT were correspondingly computed at the global scale. Comparison against measurements from radiation monitoring stations showed a good agreement with NWP-based MRT (coefficient of determination greater than 0.88; average bias equal to 0.42 °C) suggesting its potential as a proxy for observations in application studies.

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          Most cited references38

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          The physiological equivalent temperature - a universal index for the biometeorological assessment of the thermal environment.

          P Hoppe (1999)
          With considerably increased coverage of weather information in the news media in recent years in many countries, there is also more demand for data that are applicable and useful for everyday life. Both the perception of the thermal component of weather as well as the appropriate clothing for thermal comfort result from the integral effects of all meteorological parameters relevant for heat exchange between the body and its environment. Regulatory physiological processes can affect the relative importance of meteorological parameters, e.g. wind velocity becomes more important when the body is sweating. In order to take into account all these factors, it is necessary to use a heat-balance model of the human body. The physiological equivalent temperature (PET) is based on the Munich Energy-balance Model for Individuals (MEMI), which models the thermal conditions of the human body in a physiologically relevant way. PET is defined as the air temperature at which, in a typical indoor setting (without wind and solar radiation), the heat budget of the human body is balanced with the same core and skin temperature as under the complex outdoor conditions to be assessed. This way PET enables a layperson to compare the integral effects of complex thermal conditions outside with his or her own experience indoors. On hot summer days, for example, with direct solar irradiation the PET value may be more than 20 K higher than the air temperature, on a windy day in winter up to 15 K lower.
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            The Delta-Eddington Approximation for Radiative Flux Transfer

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              A Physically-Based Scheme For The Urban Energy Budget In Atmospheric Models

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                Author and article information

                Contributors
                claudia.dinapoli@ecmwf.int
                Journal
                Int J Biometeorol
                Int J Biometeorol
                International Journal of Biometeorology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0020-7128
                1432-1254
                9 April 2020
                9 April 2020
                2020
                : 64
                : 7
                : 1233-1245
                Affiliations
                [1 ]GRID grid.42781.38, ISNI 0000 0004 0457 8766, European Centre for Medium-Range Weather Forecasts, ; Reading, UK
                [2 ]GRID grid.9435.b, ISNI 0000 0004 0457 9566, University of Reading, ; Reading, UK
                Author information
                https://orcid.org/0000-0002-4901-3641
                https://orcid.org/0000-0002-3180-5157
                https://orcid.org/0000-0003-1766-2898
                Article
                1900
                10.1007/s00484-020-01900-5
                7295834
                32274575
                36bdd2e9-de0d-4b20-9c3b-2305a151bb05
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 21 June 2019
                : 10 January 2020
                : 3 March 2020
                Funding
                Funded by: University of Reading
                Categories
                Original Paper
                Custom metadata
                © ISB 2020

                Atmospheric science & Climatology
                mean radiant temperature,radiation,numerical weather prediction,human comfort,validation

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