Modeling the energy balance in Marseille: Sensitivity to roughness length parameterizations and thermal admittance

Demuzere, Matthias; Ridder, Koen De; Lipzig, Nicole Van

doi:10.1029/2007jd009113

Cited by 30 publications

(56 citation statements)

References 64 publications

(123 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The main feature of that extension is the use of Zilitinkevich (1970) thermal roughness length parametrization in urban areas, the thermal inertia which is assigned a value of 1800 J m −2 s −1/2 K −1 , and the inclusion of anthropogenic heating. The latter was specified as in Demuzere et al (2008) for Marseille, though scaled up for Paris. In Demuzere et al (2008), the estimated anthropogenic heat flux for Marseille (0), urban (1), sub-urban (2), industrial (3), grass(4), crops (5), forest (6), snow/ice (7), shrubs (8).…”

Section: Mesoscale Model Description and Set-upmentioning

confidence: 99%

“…The latter was specified as in Demuzere et al (2008) for Marseille, though scaled up for Paris. In Demuzere et al (2008), the estimated anthropogenic heat flux for Marseille (0), urban (1), sub-urban (2), industrial (3), grass(4), crops (5), forest (6), snow/ice (7), shrubs (8). The rectangular and the triangular box represent the locations of the urban (Paris-Montsouris, square) and rural (Melun, triangle) stations, respectively.…”

Section: Mesoscale Model Description and Set-upmentioning

confidence: 99%

“…The land-surface scheme was extended to represent urban surfaces as described in Demuzere et al (2008). The main feature of that extension is the use of Zilitinkevich (1970) thermal roughness length parametrization in urban areas, the thermal inertia which is assigned a value of 1800 J m −2 s −1/2 K −1 , and the inclusion of anthropogenic heating.…”

Section: Mesoscale Model Description and Set-upmentioning

confidence: 99%

See 2 more Smart Citations

The diurnal evolution of the urban heat island of Paris: a model-based case study during Summer 2006

et al. 2013

Self Cite

View full text Add to dashboard Cite

The urban heat island (UHI) over Paris during summer 2006 was simulated using the Advanced Regional Prediction System (ARPS) updated with a simple urban parametrization at a horizontal resolution of 1 km. Two integrations were performed, one with the urban land cover of Paris and another in which Paris was replaced by cropland. The focus is on a five-day clear-sky period, for which the UHI intensity reaches its maximum. The diurnal evolution of the UHI intensity was found to be adequately simulated for this five day period. The maximum difference at night in 2 m temperature between urban and rural areas stemming from the urban heating is reproduced with a relative error of less than 10%. The UHI has an ellipsoidal shape and stretches along the prevailing wind direction. The maximum UHI intensity of 6.1 K occurs at 23:00 UTC located 6 km downstream of the city centre and this largely remains during the whole night. An idealized one-column model study demonstrates that the nocturnal differential sensible heat flux, even though much smaller than its daytime value, is mainly responsible for the maximum UHI intensity. The reason for this nighttime maximum is that additional heat is only affecting a shallow layer of 150 m. An air uplift is explained by the synoptic east wind and a ramp upwind of the city centre, which leads to a considerable nocturnal adiabatic cooling over cropland. The idealized study demonstrates that the reduced vertical adiabatic cooling over the city compared to cropland induces an additional UHI build-up of 25%. The UHI and its vertical extent is affected by the boundary-layer stability, nocturnal low-level jet as well as radiative cooling. Therefore, improvements of representing these boundary-layer features in atmospheric models are important for UHI studies

show abstract

Section: Mesoscale Model Description and Set-upmentioning

confidence: 99%

Section: Mesoscale Model Description and Set-upmentioning

confidence: 99%

Section: Mesoscale Model Description and Set-upmentioning

confidence: 99%

See 1 more Smart Citation

The diurnal evolution of the urban heat island of Paris: a model-based case study during Summer 2006

et al. 2013

Self Cite

View full text Add to dashboard Cite

show abstract

“…In our study, the ARPS model was coupled to the soilvegetation-atmosphere transfer scheme of De Ridder and Schayes [1997], which was extended to represent urban surfaces, as described in De Ridder [2006] and Demuzere et al [2008]. The main feature of that extension is the use of a parameterization for the dimensionless parameter kB À1 suitable for surfaces composed of bluff-rough obstacles, as encountered in cities.…”

Section: Modelmentioning

confidence: 99%

“…Sugawara et al [2001] used ground-based thermal infrared radiometric measurements to estimate the effective thermal admittance for an area within Tokyo (Japan), finding values in the range 1760-2050 J m À2 s À1/2 K À1 . Demuzere et al [2008], using ground-based measurements of sensible heat flux over Marseille (France), obtained lower values of approximately 1230 J m À2 s À1/2 K À1 . [5] As is the case for thermal admittance, only a limited amount of data exists regarding appropriate values of kB À1 over urban areas.…”

Section: Introductionmentioning

confidence: 99%

Exploring a new method for the retrieval of urban thermophysical properties using thermal infrared remote sensing and deterministic modeling

Ridder¹,

Bertrand²,

Casanova³

et al. 2012

J. Geophys. Res.

Self Cite

View full text Add to dashboard Cite

[1] Increasingly, mesoscale meteorological and climate models are used to predict urban weather and climate. Yet, large uncertainties remain regarding values of some urban surface properties. In particular, information concerning urban values for thermal roughness length and thermal admittance is scarce. In this paper, we present a method to estimate values for thermal admittance in combination with an optimal scheme for thermal roughness length, based on METEOSAT-8/SEVIRI thermal infrared imagery in conjunction with a deterministic atmospheric model containing a simple urbanized land surface scheme. Given the spatial resolution of the SEVIRI sensor, the resulting parameter values are applicable at scales of the order of 5 km. As a study case we focused on the city of Paris, for the day of 29 June 2006. Land surface temperature was calculated from SEVIRI thermal radiances using a new split-window algorithm specifically designed to handle urban conditions, as described in Appendix A, including a correction for anisotropy effects. Land surface temperature was also calculated in an ensemble of simulations carried out with the ARPS mesoscale atmospheric model, combining different thermal roughness length parameterizations with a range of thermal admittance values. Particular care was taken to spatially match the simulated land surface temperature with the SEVIRI field of view, using the so-called point spread function of the latter. Using Bayesian inference, the best agreement between simulated and observed land surface temperature was obtained for the Zilitinkevich (1970) and Brutsaert (1975) thermal roughness length parameterizations, the latter with the coefficients obtained by Kanda et al. (2007) Citation: De Ridder, K., C. Bertrand, G. Casanova, and W. Lefebvre (2012), Exploring a new method for the retrieval of urban thermophysical properties using thermal infrared remote sensing and deterministic modeling,

show abstract

Impact of urban canopy models and external parameters on the modelled urban energy balance in a tropical city

Demuzere

Harshan

Järvi

et al. 2017

Quart J Royal Meteoro Soc

Self Cite

View full text Add to dashboard Cite

To date, existing urban land surface models (ULSMs) have been mostly evaluated and optimized for mid‐ and high‐latitude cities. For the first time, we provide a comparative evaluation of four ULSMs for a tropical residential neighbourhood in Singapore using directly measured energy balance components. The simulations are performed offline, for an 11 month period, using the bulk scheme TERRA_URB and three models of intermediate complexity (CLM, SURFEX and SUEWS). In addition, information from three different parameter lists are used to quantify the impact (interaction) of (between) external parameter settings and model formulations on the modelled urban energy balance components. Encouragingly, overall results indicate good model performance for most energy balance components and align well with previous findings for midlatitude regions, suggesting the transferability of these models to (sub)tropical regions. Similar to results from midlatitude regions, the outgoing long‐wave radiation and latent heat flux remain the most problematic fluxes. In addition, the various combinations of models and different parameter values suggest that error statistics tend to be dominated more by the choice of the latter than the choice of model. Finally, our intercomparison framework enabled the attribution of common deficiencies in the different model approaches found previously in midlatitude regions: the simple representation of water intercepted by impervious surfaces leading to a positive bias in the latent heat flux directly after a precipitation event; and the positive bias in modelled outgoing long‐wave radiation that is partly due to neglecting the radiative interactions of water vapour between the surface and the tower sensor. These findings suggest that future developments in urban climate research should continue the integration of more physically based processes in urban canopy models, ensure the consistency between the observed and modelled atmospheric properties and focus on the correct representation of urban morphology, water storage and thermal and radiative characteristics.

show abstract

Modeling the energy balance in Marseille: Sensitivity to roughness length parameterizations and thermal admittance

Cited by 30 publications

References 64 publications

The diurnal evolution of the urban heat island of Paris: a model-based case study during Summer 2006

The diurnal evolution of the urban heat island of Paris: a model-based case study during Summer 2006

Exploring a new method for the retrieval of urban thermophysical properties using thermal infrared remote sensing and deterministic modeling

Impact of urban canopy models and external parameters on the modelled urban energy balance in a tropical city

Contact Info

Product

Resources

About