Evaluation of vertically resolved longwave radiation in SPARTACUS-Urban 0.7.3 and the sensitivity to urban surface temperatures

Stretton, M. A. ORCID: https://orcid.org/0000-0002-1444-5735, Morrison, W., Hogan, R. J. ORCID: https://orcid.org/0000-0002-3180-5157 and Grimmond, S. ORCID: https://orcid.org/0000-0002-3166-9415 (2023) Evaluation of vertically resolved longwave radiation in SPARTACUS-Urban 0.7.3 and the sensitivity to urban surface temperatures. Geoscientific Model Development, 16 (20). pp. 5931-5947. ISSN 1991-9603 doi: 10.5194/gmd-16-5931-2023

Abstract/Summary

Cities materials and urban form impact radiative exchanges, and surface and air temperatures. Here, the ‘SPARTACUS’ multi-layer approach to modelling longwave radiation in urban areas (SPARTACUS-Urban) is evaluated using the explicit DART (Discrete Anisotropic Radiative Transfer) model. SPARTACUS-Urban describes realistic 3D urban geometry statistically, rather than assuming an infinite street canyon. Longwave flux profiles are compared across an August day for a 2 km x 2 km domain in central London. Simulations are conducted with multiple temperature configurations, including realistic temperature profiles derived from thermal camera observations. The SPARTACUS-Urban model performs well (cf. DART) when all facets are prescribed a single temperature, with normalised bias errors (nBE) < 2.5% for downwelling fluxes, and < 0.5% for top-of-canopy upwelling fluxes. Errors are larger (nBE < 8%) for net longwave fluxes from walls and roofs. Using more realistic surface temperatures, varying depending on surface shading, the nBE in upwelling longwave increases to ~2%. Errors in roof and wall net longwave fluxes increase through the day, but nBE are still 8–11%. This increase in nBE occurs because SPARTACUS-Urban represents vertical, but not horizontal, surface temperature variation within a domain. Additionally, SPARTACUS-Urban outperforms the Harman single-layer canyon approach, particularly in the longwave interception by roofs. We conclude that SPARTACUS-Urban accurately predicts longwave fluxes, requiring less computational time cf. DART, but with larger errors when surface temperatures vary due to shading. SPARTACUS-Urban could enhance multi-layer urban energy balance schemes prediction of within-canopy temperatures and fluxes.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/113548
Item Type	Article
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	European Geosciences Union
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