Rather than expressing this measure as a flux density, i.e. The MRT is a measure of the total radiation from the atmosphere and the ground ( radiant environment) incident on an object from all directions. Nevertheless, together with air temperature, humidity and wind speed, it is essential to describe the thermo-physiological effects of the outdoor environment on the human heat balance and comfort. The mean radiant temperature (MRT) is considered the most problematic variable to estimate in the assessment of human biometeorological comfort (Kántor and Unger 2011). 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 ☌) suggesting its potential as a proxy for observations in application studies. Mapped distributions of MRT were correspondingly computed at the global scale. The applicability of the framework was demonstrated using NWP reanalysis radiation data from the European Centre for Medium-Range Weather Forecasts. 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 proposed framework requires as input radiation fluxes computed by numerical weather prediction (NWP) models and generates as output gridded globe-wide maps of MRT. 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. In human biometeorology, the estimation of mean radiant temperature (MRT) is generally considered challenging.
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