Estimation of urban sensible heat flux using a dense wireless network of observations

The determination of the sensible heat flux over urban terrain is challenging due to irregular surface geometry and surface types. To address this, in 2006–07, a major field campaign (LUCE) took place at the École Polytechnique Fédérale de Lausanne campus, a moderately occupied urban site. A distributed network of 92 wireless weather stations was combined with routine atmospheric profiling, offering high temporal and spatial resolution meteorological measurements. The objective of this study is to estimate the sensible heat flux over the built environment under convective conditions. Calculations were based on Monin–Obukhov similarity for temperature in the surface layer. The results illustrate a good agreement between the sensible heat flux inferred from the thermal roughness length approach and independent calibrated measurements from a scintillometer located inside the urban canopy. It also shows that using only one well-selected station can provide a good estimate of the sensible heat flux over the campus for convective conditions. Overall, this study illustrates how an extensive network of meteorological measurements can be a useful tool to estimate the sensible heat flux in complex urban environments.

[1]  Jason Ching,et al.  Simulation of Meteorological Fields Within and Above Urban and Rural Canopies with a Mesoscale Model , 2004 .

[2]  A. S. Monin,et al.  Statistical Fluid Mechanics, Vol. II , 1976 .

[3]  F. Binkowski On the empirical relationship between the Richardson number and the Monin-Obukhov stability parameter , 1975 .

[4]  Valéry Masson,et al.  A Physically-Based Scheme For The Urban Energy Budget In Atmospheric Models , 2000 .

[5]  H. Wanner,et al.  The Bise—Climatology of a regional wind north of the Alps , 1990 .

[6]  Mathias W. Rotach,et al.  Mean Flow and Turbulence Characteristics in an Urban Roughness Sublayer , 2004 .

[7]  C. S. B. Grimmond,et al.  Aerodynamic Roughness of Urban Areas Derived from Wind Observations , 1998, Boundary-Layer Meteorology.

[8]  R. Stull An Introduction to Boundary Layer Meteorology , 1988 .

[9]  M. Kanda,et al.  Roughness Lengths for Momentum and Heat Derived from Outdoor Urban Scale Models , 2007 .

[10]  Tomas Vitvar,et al.  A comparative study in modelling runoff and its components in two mountainous catchments , 2003 .

[11]  Wilfried Brutsaert,et al.  Hydrology: An Introduction , 2005 .

[12]  M. Parlange,et al.  The Effects of Building Representation and Clustering in Large-Eddy Simulations of Flows in Urban Canopies , 2009 .

[13]  Timothy R. Oke,et al.  Aerodynamic Properties of Urban Areas Derived from Analysis of Surface Form , 1999 .

[14]  W. Brutsaert Land‐surface water vapor and sensible heat flux: Spatial variability, homogeneity, and measurement scales , 1998 .

[15]  Matthias Roth,et al.  Review of atmospheric turbulence over cities , 2007 .

[16]  P. R. Owen,et al.  Heat transfer across rough surfaces , 1963, Journal of Fluid Mechanics.

[17]  I. Esau,et al.  On Integral Measures Of The Neutral Barotropic Planetary Boundary Layer , 2002 .

[18]  S. Gopalakrishnan,et al.  An LES Study of the Impacts of Land Surface Heterogeneity on Dispersion in the Convective Boundary Layer , 2000 .

[19]  François Ingelrest,et al.  SensorScope: Out-of-the-Box Environmental Monitoring , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

[20]  Y. U-H E N G T S E N G,et al.  Modeling Flow around Bluff Bodies and Predicting Urban Dispersion Using Large Eddy Simulation , 2006 .

[21]  P. Hignett Roughness lengths for temperature and momentum over heterogeneous terrain , 1994 .

[22]  W. Cotton,et al.  Large-eddy simulations of thermally forced circulations in the convective boundary layer. Part II: The effect of changes in wavelength and wind speed , 1992 .

[23]  Matthias Roth,et al.  Methodological Considerations Regarding the Measurement of Turbulent Fluxes in the Urban Roughness Sublayer: The Role of Scintillometery , 2006 .

[24]  W. P. Lowry,et al.  observations of the urban heal island in a small city , 1967 .

[25]  T. Oke,et al.  Area-Averaged Sensible Heat Flux and a New Method to Determine Zero-Plane Displacement Length over an Urban Surface using Scintillometry , 2002 .

[26]  Charles Meneveau,et al.  Large‐eddy simulation of neutral atmospheric boundary layer flow over heterogeneous surfaces: Blending height and effective surface roughness , 2004 .

[27]  T. Oke City size and the urban heat island , 1973 .

[28]  Marc B. Parlange,et al.  Regional shear stress of broken forest from radiosonde wind profiles in the unstable surface layer , 1993 .

[29]  M. S. Moran,et al.  Sensible heat flux - Radiometric surface temperature relationship for eight semiarid areas , 1994 .

[30]  T. Oke,et al.  Complete urban surface temperatures , 1997 .

[31]  C. R. Philbrick,et al.  A Large-Eddy Simulation Study of the Convective Boundary Layer over Philadelphia during the 1999 Summer NE-OPS Campaign , 2003 .

[32]  W. Brutsaert Evaporation into the atmosphere , 1982 .

[33]  A. Clappier,et al.  Towards improving the simulation of meteorological fields in urban areas through updated/advanced surface fluxes description , 2008 .

[34]  C. Grimmond The suburban energy balance: Methodological considerations and results for a mid-latitude west coast city under winter and spring conditions , 1992 .

[35]  Rachel Spronken-Smith,et al.  Comparison of summer‐ and winter‐time suburban energy fluxes in Christchurch, New Zealand , 2002 .

[36]  François Ingelrest,et al.  SensorScope: Application-specific sensor network for environmental monitoring , 2010, TOSN.

[37]  James A. Voogt,et al.  Modeling Surface Sensible Heat Flux Using Surface Radiative Temperatures in a Simple Urban Area , 2000 .

[38]  G. G. Rooney,et al.  Comparison Of Upwind Land Use And Roughness Length Measured In The Urban Boundary Layer , 2001 .

[39]  Y. Malhi The behaviour of the roughness length for temperature over heterogeneous surfaces , 1996 .

[40]  Martin J. Wooster,et al.  Modelling of urban sensible heat flux at multiple spatial scales: A demonstration using airborne hyperspectral imagery of Shanghai and a temperature–emissivity separation approach , 2008 .

[41]  Alan H. Strahler,et al.  The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research , 1998, IEEE Trans. Geosci. Remote. Sens..

[42]  B. Hurk,et al.  Estimation of the sensible heat flux of a semi-arid area using surface radiative temperature measurements , 1993 .

[43]  Marc B. Parlange,et al.  Regional roughness of the landes forest and surface shear stress under neutral conditions , 1989 .

[44]  A. Van Rompaey,et al.  Modeling the Contribution of the Brussels Heat Island to a Long Temperature Time Series , 2008 .

[45]  Marcel Bottema,et al.  Urban roughness modelling in relation to pollutant dispersion , 1997 .

[46]  Koen De Ridder Testing Brutsaert's temperature roughness parameterization for representing urban surfaces in atmospheric models , 2006 .

[47]  W. Brutsaert,et al.  Optimal Measurement Strategy for Surface Temperature to Determine Sensible Heat Flux From Anisothermal Vegetation , 1996 .

[48]  Wilfried Brutsaert,et al.  The unstable surface layer above forest: Regional evaporation and heat flux , 1992 .

[49]  Monique Y. Leclerc,et al.  Footprint prediction of scalar fluxes from analytical solutions of the diffusion equation , 1990 .

[50]  M. Parlange,et al.  On the Parameterization of Surface Roughness at Regional Scales , 2005 .

[51]  On the Brutsaert temperature roughness length model for sensible heat flux estimation , 1997 .

[52]  H. Schmid Source areas for scalars and scalar fluxes , 1994 .

[53]  T. W. Horst The Footprint for Estimation of Atmosphere-Surface Exchange Fluxes by Profile Techniques , 1999 .