Surface and Atmospheric Driven Variability of the Single-Layer Urban Canopy Model Under Clear-Sky Conditions Over London
Urban canopy models (UCMs) are parametrization schemes that are used to improve weather forecasts in urban areas. The performance of UCMs depends on understanding potential uncertainty sources that can generally originate from the (a) urban surface parameters, (b) atmospheric forcing, and (c) physical description. Here, we investigate the relative importance of surface and atmospheric driven model sensitivities of the single-layer urban canopy model when fully interactive with a 1-D configuration of the Weather Research and Forecasting model (WRF). The impact of different physical descriptions in UCMs and other key parameterization schemes of WRF is considered. As a case study, we use a 54-hr period with clear-sky conditions over London. Our analysis is focused on the surface radiation and energy flux partitioning and the intensity of turbulent mixing. The impact of changes in atmospheric forcing and surface parameter values on model performance appears to be comparable in magnitude. The advection of potential temperature, aerosol optical depth, exchange coefficient and roughness length for heat, surface albedo, and the anthropogenic heat flux are the most influential. Some atmospheric forcing variations have similar impact on the key physical processes as changes in surface parameters. Hence, error compensation may occur if one optimizes model performance using a single variable or combinations that have potential for carryover effects (e.g., temperature). Process diagrams help differences to be understood in the physical description of different UCMs, boundary layer, and radiation schemes and between the model and the observations.
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| Language: | English |
| Subjects: | London, WRF, atmospheric boundary layer, land-atmosphere interactions, surface energy balance, urban surface model, |
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dig-wur-nl-wurpubs-5684712024-12-04 Tsiringakis, A. Holtslag, A.A.M. Grimmond, Sue Steeneveld, G.J. Article/Letter to editor Journal of Geophysical Research: Atmospheres 125 (2020) 14 ISSN: 2169-897X Surface and Atmospheric Driven Variability of the Single-Layer Urban Canopy Model Under Clear-Sky Conditions Over London 2020 Urban canopy models (UCMs) are parametrization schemes that are used to improve weather forecasts in urban areas. The performance of UCMs depends on understanding potential uncertainty sources that can generally originate from the (a) urban surface parameters, (b) atmospheric forcing, and (c) physical description. Here, we investigate the relative importance of surface and atmospheric driven model sensitivities of the single-layer urban canopy model when fully interactive with a 1-D configuration of the Weather Research and Forecasting model (WRF). The impact of different physical descriptions in UCMs and other key parameterization schemes of WRF is considered. As a case study, we use a 54-hr period with clear-sky conditions over London. Our analysis is focused on the surface radiation and energy flux partitioning and the intensity of turbulent mixing. The impact of changes in atmospheric forcing and surface parameter values on model performance appears to be comparable in magnitude. The advection of potential temperature, aerosol optical depth, exchange coefficient and roughness length for heat, surface albedo, and the anthropogenic heat flux are the most influential. Some atmospheric forcing variations have similar impact on the key physical processes as changes in surface parameters. Hence, error compensation may occur if one optimizes model performance using a single variable or combinations that have potential for carryover effects (e.g., temperature). Process diagrams help differences to be understood in the physical description of different UCMs, boundary layer, and radiation schemes and between the model and the observations. en application/pdf https://research.wur.nl/en/publications/surface-and-atmospheric-driven-variability-of-the-single-layer-ur 10.1029/2019JD032167 https://edepot.wur.nl/528848 London WRF atmospheric boundary layer land-atmosphere interactions surface energy balance urban surface model https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research |
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London WRF atmospheric boundary layer land-atmosphere interactions surface energy balance urban surface model London WRF atmospheric boundary layer land-atmosphere interactions surface energy balance urban surface model |
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London WRF atmospheric boundary layer land-atmosphere interactions surface energy balance urban surface model London WRF atmospheric boundary layer land-atmosphere interactions surface energy balance urban surface model Tsiringakis, A. Holtslag, A.A.M. Grimmond, Sue Steeneveld, G.J. Surface and Atmospheric Driven Variability of the Single-Layer Urban Canopy Model Under Clear-Sky Conditions Over London |
| description |
Urban canopy models (UCMs) are parametrization schemes that are used to improve weather forecasts in urban areas. The performance of UCMs depends on understanding potential uncertainty sources that can generally originate from the (a) urban surface parameters, (b) atmospheric forcing, and (c) physical description. Here, we investigate the relative importance of surface and atmospheric driven model sensitivities of the single-layer urban canopy model when fully interactive with a 1-D configuration of the Weather Research and Forecasting model (WRF). The impact of different physical descriptions in UCMs and other key parameterization schemes of WRF is considered. As a case study, we use a 54-hr period with clear-sky conditions over London. Our analysis is focused on the surface radiation and energy flux partitioning and the intensity of turbulent mixing. The impact of changes in atmospheric forcing and surface parameter values on model performance appears to be comparable in magnitude. The advection of potential temperature, aerosol optical depth, exchange coefficient and roughness length for heat, surface albedo, and the anthropogenic heat flux are the most influential. Some atmospheric forcing variations have similar impact on the key physical processes as changes in surface parameters. Hence, error compensation may occur if one optimizes model performance using a single variable or combinations that have potential for carryover effects (e.g., temperature). Process diagrams help differences to be understood in the physical description of different UCMs, boundary layer, and radiation schemes and between the model and the observations. |
| format |
Article/Letter to editor |
| topic_facet |
London WRF atmospheric boundary layer land-atmosphere interactions surface energy balance urban surface model |
| author |
Tsiringakis, A. Holtslag, A.A.M. Grimmond, Sue Steeneveld, G.J. |
| author_facet |
Tsiringakis, A. Holtslag, A.A.M. Grimmond, Sue Steeneveld, G.J. |
| author_sort |
Tsiringakis, A. |
| title |
Surface and Atmospheric Driven Variability of the Single-Layer Urban Canopy Model Under Clear-Sky Conditions Over London |
| title_short |
Surface and Atmospheric Driven Variability of the Single-Layer Urban Canopy Model Under Clear-Sky Conditions Over London |
| title_full |
Surface and Atmospheric Driven Variability of the Single-Layer Urban Canopy Model Under Clear-Sky Conditions Over London |
| title_fullStr |
Surface and Atmospheric Driven Variability of the Single-Layer Urban Canopy Model Under Clear-Sky Conditions Over London |
| title_full_unstemmed |
Surface and Atmospheric Driven Variability of the Single-Layer Urban Canopy Model Under Clear-Sky Conditions Over London |
| title_sort |
surface and atmospheric driven variability of the single-layer urban canopy model under clear-sky conditions over london |
| url |
https://research.wur.nl/en/publications/surface-and-atmospheric-driven-variability-of-the-single-layer-ur |
| work_keys_str_mv |
AT tsiringakisa surfaceandatmosphericdrivenvariabilityofthesinglelayerurbancanopymodelunderclearskyconditionsoverlondon AT holtslagaam surfaceandatmosphericdrivenvariabilityofthesinglelayerurbancanopymodelunderclearskyconditionsoverlondon AT grimmondsue surfaceandatmosphericdrivenvariabilityofthesinglelayerurbancanopymodelunderclearskyconditionsoverlondon AT steeneveldgj surfaceandatmosphericdrivenvariabilityofthesinglelayerurbancanopymodelunderclearskyconditionsoverlondon |
| _version_ |
1819145067948933120 |