Abstract
Abstract. In the frame of the project “MOSAIK – Model-based city planning and application in climate change”, a German-wide research project within the call “Urban Climate Under Change” ([UC]2) funded by the German Federal Ministry of Education and Research (BMBF), a biometeorology module was implemented into the Parallelized Large-Eddy Simulation Model (PALM) system. The new biometeorology module is comprised of methods for the calculation of UV-exposure quantities, a human–biometeorologically weighted mean radiant temperature (Tmrt), as well as for the estimation of human thermal comfort or stress. The latter is achieved through the implementation of the three widely used thermal indices: perceived temperature (PT), Universal Thermal Climate Index (UTCI), as well as physiologically equivalent temperature (PET). Comparison calculations were performed for the PT, UTCI and PET indices based on the SkyHelios model and showing PALM calculates higher values in general. This is mostly due to a higher radiational gain leading to higher values of mean radiant temperature. For a more direct comparison, the PT, PET and UTCI indices were calculated by the biometeorology module, as well as the programs provided by the attachment to Verein Deutscher Ingenieure (VDI) guideline 3787, as well as by the RayMan model based on the very same input dataset. Results show deviations below the relevant precision of 0.1 K for PET and UTCI and some deviations of up to 2.683 K for PT caused by repeated unfavorable rounding in very rare cases (0.027 %).
Highlights
Urban areas show slightly different diurnal variability in air temperature (Ta) compared to their surroundings (e.g., Oke, 1995; Helbig et al, 1999)
Comparison calculations were performed for the perceived temperature (PT), Universal Thermal Climate Index (UTCI) and physiologically equivalent temperature (PET) indices based on the SkyHelios model and showing Parallelized LargeEddy Simulation Model (PALM) calculates higher values in general
For a more direct comparison, the PT, PET and UTCI indices were calculated by the biometeorology module, as well as the programs provided by the attachment to Verein Deutscher Ingenieure (VDI) guideline 3787, as well as by the RayMan model based on the very same input dataset
Summary
Urban areas show slightly different diurnal variability in air temperature (Ta) compared to their surroundings (e.g., Oke, 1995; Helbig et al, 1999). To facilitate the identification of hotspots and the assessment of potential for the reduction of thermal stress, the program “Urban Climate Under Change” ([UC]2) is funded by the German Federal Ministry of Education and Research (BMBF). It “aims at the development, validation and application of an innovative urban climate model for entire cities” (Todo: UC2 homepage). One of the new modules is the biometeorology module capable of calculating the static thermal PT, UTCI and PET indices (Maronga et al, 2019b)
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