Abstract:[1] Eddy covariance (EC) observations above the densely built-up center of Marseille during the Expérience sur site pour contraindre les modèles de pollution atmosphérique et de transport d'émissions (ESCOMPTE) summertime measurement campaign extend current understanding of surface atmosphere exchanges in cities. The instrument array presented opportunities to address issues of the representativeness of local-scale fluxes in urban settings. Separate EC systems operated at two levels, and a telescoping tower al… Show more
“…Combining these previous steps results in an energy flux from traffic of 6.3 W m À2 per 10 mmol m À2 s À1 CO 2 . Following the CO 2 flux measurements of Grimmond et al [2004], the diurnal CO 2 flux values range from 10 mmol m À2 s À1 during the night to 30 mmol m À2 s À1 , which corresponds to a range of Q Fv between 6.3 (night) to 18.9 W m À2 (day). To determine hourly energy flux values from traffic it is then fitted (within its measurement errors) to the diurnal evolution of the measured CO 2 flux, resulting in a traffic induced anthropogenic heat of 5.3 W m À2 between 20 and 5 h GMT, a linear increase (decrease) between 5 and 8 h GMT (18 -20 h GMT) from 5.3 W m À2 to 18.9 W m À2 and a constant flux between 8 and 18 h GMT of 18.9 W m À2 , resulting in a daily mean of 12.3 W m À2 .…”
Section: Discussionmentioning
confidence: 99%
“…The absorption of CO 2 by vegetation during the day results in a negative (downward) CO 2 flux, which should be taken into account while interpreting the CO 2 measurements of Grimmond et al [2004] to obtain the ''pure'' traffic signal. Therefore we use the water use efficiency, which returns the amount of assimilated CO 2 per kg evaporated water.…”
Section: Discussionmentioning
confidence: 99%
“…[48] The total anthropogenic heat flux of 18.6 W m À2 is calculated for the CAAM site using the CO 2 fluxes measured by Grimmond et al [2004]. Following Lemonsu et al [2004] and Hamdi and Schayes [2005] the plan area of vegetated surfaces per total plan area for this urban measurement site adds up to 14%.…”
Section: A3 Conclusionmentioning
confidence: 99%
“…In order to be able to compare our simple approach to the results from LUMPS, we use the observation done by Grimmond et al [2004] to calculate all fluxes. A full explanation of LUMPS is given by Grimmond and Oke [2002], and hereby, only a short description of its configuration is given.…”
[1] During the ESCOMPTE campaign (Experience sur Site pour COntraindre les Modeles de Pollution atmospherique et de Transport d'Emissions), a 4-day intensive observation period was selected to evaluate the Advanced Regional Prediction System (ARPS), a nonhydrostatic meteorological mesoscale model that was optimized with a parameterization for thermal roughness length to better represent urban surfaces. The evaluation shows that the ARPS model is able to correctly reproduce temperature, wind speed, and direction for one urban and two rural measurements stations. Furthermore, simulated heat fluxes show good agreement compared to the observations, although simulated sensible heat fluxes were initially too low for the urban stations. In order to improve the latter, different roughness length parameterization schemes were tested, combined with various thermal admittance values. This sensitivity study showed that the Zilitinkevich scheme combined with and intermediate value of thermal admittance performs best.
“…Combining these previous steps results in an energy flux from traffic of 6.3 W m À2 per 10 mmol m À2 s À1 CO 2 . Following the CO 2 flux measurements of Grimmond et al [2004], the diurnal CO 2 flux values range from 10 mmol m À2 s À1 during the night to 30 mmol m À2 s À1 , which corresponds to a range of Q Fv between 6.3 (night) to 18.9 W m À2 (day). To determine hourly energy flux values from traffic it is then fitted (within its measurement errors) to the diurnal evolution of the measured CO 2 flux, resulting in a traffic induced anthropogenic heat of 5.3 W m À2 between 20 and 5 h GMT, a linear increase (decrease) between 5 and 8 h GMT (18 -20 h GMT) from 5.3 W m À2 to 18.9 W m À2 and a constant flux between 8 and 18 h GMT of 18.9 W m À2 , resulting in a daily mean of 12.3 W m À2 .…”
Section: Discussionmentioning
confidence: 99%
“…The absorption of CO 2 by vegetation during the day results in a negative (downward) CO 2 flux, which should be taken into account while interpreting the CO 2 measurements of Grimmond et al [2004] to obtain the ''pure'' traffic signal. Therefore we use the water use efficiency, which returns the amount of assimilated CO 2 per kg evaporated water.…”
Section: Discussionmentioning
confidence: 99%
“…[48] The total anthropogenic heat flux of 18.6 W m À2 is calculated for the CAAM site using the CO 2 fluxes measured by Grimmond et al [2004]. Following Lemonsu et al [2004] and Hamdi and Schayes [2005] the plan area of vegetated surfaces per total plan area for this urban measurement site adds up to 14%.…”
Section: A3 Conclusionmentioning
confidence: 99%
“…In order to be able to compare our simple approach to the results from LUMPS, we use the observation done by Grimmond et al [2004] to calculate all fluxes. A full explanation of LUMPS is given by Grimmond and Oke [2002], and hereby, only a short description of its configuration is given.…”
[1] During the ESCOMPTE campaign (Experience sur Site pour COntraindre les Modeles de Pollution atmospherique et de Transport d'Emissions), a 4-day intensive observation period was selected to evaluate the Advanced Regional Prediction System (ARPS), a nonhydrostatic meteorological mesoscale model that was optimized with a parameterization for thermal roughness length to better represent urban surfaces. The evaluation shows that the ARPS model is able to correctly reproduce temperature, wind speed, and direction for one urban and two rural measurements stations. Furthermore, simulated heat fluxes show good agreement compared to the observations, although simulated sensible heat fluxes were initially too low for the urban stations. In order to improve the latter, different roughness length parameterization schemes were tested, combined with various thermal admittance values. This sensitivity study showed that the Zilitinkevich scheme combined with and intermediate value of thermal admittance performs best.
“…Using measurements of CO 2 fluxes as an indication of human activity in the area, Grimmond et al (2004) Figure 7(b)). In a related study using data from the meso-NH mesoscale model and two intensive observation periods (21-23 and 24-26 June), Pigeon et al (2007) have shown that for a particular set of synoptic conditions (e.g.…”
For an increasing number of applications, mesoscale modelling systems now aim to better represent urban areas. The complexity of processes resolved by urban parametrization schemes varies with the application. The concept of fitness-forpurpose is therefore critical for both the choice of parametrizations and the way in which the scheme should be evaluated. A systematic and objective model response analysis procedure (Multiobjective Shuffled Complex Evolution Metropolis (MOSCEM) algorithm) is used to assess the fitness of the single-layer urban canopy parametrization implemented in the Weather Research and Forecasting (WRF) model. The scheme is evaluated regarding its ability to simulate observed surface energy fluxes and the sensitivity to input parameters. Recent amendments are described, focussing on features which improve its applicability to numerical weather prediction, such as a reduced and physically more meaningful list of input parameters. The study shows a high sensitivity of the scheme to parameters characterizing roof properties in contrast to a low response to road-related ones. Problems in partitioning of energy between turbulent sensible and latent heat fluxes are also emphasized. Some initial guidelines to prioritize efforts to obtain urban land-cover class characteristics in WRF are provided.
A number of recent studies investigated impacts of Land-Use and Land-Cover Changes (LULCC) on climate with global Earth System Models (ESMs). Yet many ESMs are still missing a representation of the most extreme form of natural landscape modification -urban settlements. Moreover, long-term (i.e., decades to century) transitions between build-up and other land cover types due to urbanization and deurbanization have not been examined in the literature. In this study we evaluate a new urban canopy model (UCM) that characterizes urban physical and biogeochemical processes within the subgrid tiling framework of the Geophysical Fluid Dynamics Laboratory (GFDL) land model, LM3. The new model LM3-UCM is based on the urban canyon concept and simulates exchange of energy, water (liquid and solid), and carbon between urban land and the atmosphere. LM3-UCM has several unique features, including explicit treatment of vegetation inside the urban canyon and dynamic transition between urban, agricultural and unmanaged tiles. The model is evaluated using observational data sets collected at three urban sites: Marseille in France, Basel in Switzerland and Baltimore in the United States. It is found that LM3-UCM satisfactorily reproduces canyon air temperature, surface temperatures, radiative fluxes, and turbulent heat fluxes at the three urban sites. LM3-UCM can capture urban features in a computationally efficient manner and is incorporated into the land component of GFDL ESMs. This new capability will enable improved understanding of climate change effects on cities and the impacts of urbanization on climate.
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