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| Titel |
First results from the International Urban Energy Balance Model Comparison: Model Complexity |
| VerfasserIn |
M. Blackett, S. Grimmond, M. Best |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250024072
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| Zusammenfassung |
| A great variety of urban energy balance models has been developed. These vary in
complexity from simple schemes that represent the city as a slab, through those which model
various facets (i.e. road, walls and roof) to more complex urban forms (including street
canyons with intersections) and features (such as vegetation cover and anthropogenic heat
fluxes). Some schemes also incorporate detailed representations of momentum and energy
fluxes distributed throughout various layers of the urban canopy layer. The models
each differ in the parameters they require to describe the site and the in demands
they make on computational processing power. Many of these models have been
evaluated using observational datasets but to date, no controlled comparisons have been
conducted.
Urban surface energy balance models provide a means to predict the energy exchange
processes which influence factors such as urban temperature, humidity, atmospheric stability
and winds. These all need to be modelled accurately to capture features such as the urban
heat island effect and to provide key information for dispersion and air quality modelling. A
comparison of the various models available will assist in improving current and future models
and will assist in formulating research priorities for future observational campaigns within
urban areas.
In this presentation we will summarise the initial results of this international urban energy
balance model comparison. In particular, the relative performance of the models involved will
be compared based on their degree of complexity. These results will inform us on ways in
which we can improve the modelling of air quality within, and climate impacts of, global
megacities.
The methodology employed in conducting this comparison followed that used in
PILPS (the Project for Intercomparison of Land-Surface Parameterization Schemes)
which is also endorsed by the GEWEX Global Land Atmosphere System Study
(GLASS) panel. In all cases, models were run offline to ensure no feedback to larger
scale conditions within the modelling domain. Initially, participants were issued
with just forcing data from an unknown urban site (termed “Alpha”); in subsequent
stages, further details of the site were provided. Results from each stage, for each
participating model, were then compared using a variety of statistical and graphical
techniques.
* The EGU2009-5713 Team: C.S.B. Grimmond1, M. Blackett1, M. Best2 and J.
Barlow3and J.-J. Baik4, S. Belcher3, S. Bohnenstengel3, I. Calmet5, F. Chen6, A. Dandou7,
K. Fortuniak8, M. Gouvea1, R. Hamdi9, M. Hendry2, H. Kondo10, S. Krayenhoff11, S. H.
Lee4, T. Loridan1, A. Martilli12, S. Miao13, K. Oleson6, G. Pigeon14, A. Porson2,3, F.
Salamanca12, L. Shashua-Bar15, G.-J. Steeneveld16, M. Tombrou7, J. Voogt17, N.
Zhang18.
1King’s College London, UK, 2UK Met Office, UK, 3University of Reading, UK, 4Seoul
National University, Korea, 5Ecole Centrale de Nantes, France, 6National Center for
Atmospheric Research, USA, 7University of Athens, Greece, 8University of Ł ódźÂ , Poland,
9Royal Meteorological Institute, Belgium, 10National Institute of Advanced Industrial
Science and Technology, Japan, 11University of British Columbia, Canada, 12CIEMAT,
Spain, 13IUM, CMA, China, 14Meteo France, France, 15Ben Gurion University, Israel,
16Wageningen University, Netherlands, 17University of Western Ontario, Canada, 18Nanjing
University, China. |
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