Search from over 60,000 research works

Advanced Search

Evaluation of the urban tile in MOSES using surface energy balance observations

[thumbnail of BLM_2006_martin.pdf]
Preview
BLM_2006_martin.pdf - Accepted Version (395kB) | Preview
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Best, M. J., Grimmond, C. S. B. orcid id iconORCID: https://orcid.org/0000-0002-3166-9415 and Villani, M. G. (2006) Evaluation of the urban tile in MOSES using surface energy balance observations. Boundary-Layer Meteorology, 118 (3). pp. 503-525. ISSN 0006-8314 doi: 10.1007/s10546-005-9025-5

Abstract/Summary

The UK Met Office has introduced a new scheme for its urban tile in MOSES 2.2 (Met Office Surface Exchange Scheme version 2.2), which is currently implemented within the operational Met Office weather forecasting model. Here, the performance of the urban tile is evaluated in two urban areas: the historic core of downtown Mexico City and a light industrial site in Vancouver, Canada. The sites differ in terms of building structures and mean building heights. In both cases vegetation cover is less than 5%. The evaluation is based on surface energy balance flux measurements conducted at approximately the blend- ing height, which is the location where the surface scheme passes flux data into the atmo- spheric model. At both sites, MOSES 2.2 correctly simulates the net radiation, but there are discrepancies in the partitioning of turbulent and storage heat fluxes between predicted and observed values. Of the turbulent fluxes, latent heat fluxes were underpredicted by about one order of magnitude. Multiple model runs revealed MOSES 2.2 to be sensitive to changes in the canopy heat storage and in the ratio between the aerodynamic roughness length and that for heat transfer (temperature). Model performance was optimum with heat capacity values smaller than those generally considered for these sites. The results suggest that the current scheme is probably too simple, and that improvements may be obtained by increasing the complexity of the model.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/72065
Item Type Article
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher Springer
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar