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Seasonal surface urban energy balance and wintertime stability simulated using three land‐surface models in the high‐latitude city H elsinki
Author(s) -
Karsisto P.,
Fortelius C.,
Demuzere M.,
Grimmond C. S. B.,
Oleson K. W.,
Kouznetsov R.,
Masson V.,
Järvi L.
Publication year - 2015
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1002/qj.2659
Subject(s) - sensible heat , latent heat , environmental science , albedo (alchemy) , snow , atmospheric sciences , parametrization (atmospheric modeling) , climatology , energy balance , atmospheric instability , eddy covariance , flux (metallurgy) , latitude , climate model , land cover , meteorology , climate change , geology , land use , geography , ecosystem , wind speed , art , materials science , ecology , oceanography , engineering , biology , civil engineering , geodesy , quantum mechanics , metallurgy , art history , physics , performance art , radiative transfer
The performance of three urban land‐surface models, run in off‐line mode, with their default external parameters, is evaluated for two distinctly different sites in Helsinki: Torni and Kumpula. The former is a dense city‐centre site with 22% vegetation, while the latter is a suburban site with over 50% vegetation. At both locations the models are compared against sensible and latent heat fluxes measured using the eddy covariance technique, along with snow depth observations. The cold climate experienced by the city causes strong seasonal variations that include snow cover and stable atmospheric conditions. Most of the time the three models are able to account for the differences between the study areas as well as the seasonal and diurnal variability of the energy balance components. However, the performances are not systematic across the modelled components, seasons and surface types. The net all‐wave radiation is well simulated, with the greatest uncertainties related to snow‐melt timing, when the fraction of snow cover has a key role, particularly in determining the surface albedo. For the turbulent fluxes, more variation between the models is seen which can partly be explained by the different methods in their calculation and partly by surface parameter values. For the sensible heat flux, simulation of wintertime values was the main problem, which also leads to issues in predicting near‐surface stabilities particularly at the dense city‐centre site. All models have the most difficulties in simulating latent heat flux. This study particularly emphasizes that improvements are needed in the parametrization of anthropogenic heat flux and thermal parameters in winter, snow cover in spring, and evapotranspiration, in order to improve the surface energy balance modelling in cold‐climate cities.