Linking urban climate classification with an urban energy and water budget model: Multi-site and multi-seasonal evaluation

Abstract There are a number of models available for examining the interaction between cities and the atmosphere over a range of scales, from small scales - such as individual facades, buildings, neighbourhoods - to the effect of the entire conurbation itself. Many of these models require detailed morphological characteristics and material properties along with relevant meteorological data to be initialised. However, these data are difficult to obtain given the heterogeneity of built forms, particularly in newly emerging cities. Yet, the need for models which can be applied to urban areas (for instance to address planning problems) is increasingly urgent as the global population becomes more urban. In this paper, a modeling approach which derives the required land cover parameters for a mid-complex urban energy budget and water budget model (SUEWS) in a consistent manner is evaluated in four cities (Dublin, Hamburg, Melbourne and Phoenix). The required parameters for the SUEWS model are derived using local climate zones (LCZs) for land cover, and meteorological observations from off-site synoptic stations. More detailed land cover and meteorological data are then added to the model in stages to examine the impact on model performance with respect to observations of turbulent fluxes of sensible (Q H ) and latent (Q E ) heat. Replacing LCZ land cover with detailed fractional coverages was shown to marginally improve model performance, however the performance of model coupled with ‘coarse’ LCZ data was within the same range of error (20–40 W m − 2 for Q E and 40–60 W m − 2 for Q H ) as high resolution data.

[1]  Maria Tombrou,et al.  The International Urban Energy Balance Models Comparison Project: First Results from Phase 1 , 2010 .

[2]  Timothy R. Oke,et al.  Evaluation of the ‘local climate zone’ scheme using temperature observations and model simulations , 2014 .

[3]  V. Masson,et al.  Adapting cities to climate change: A systemic modelling approach , 2014 .

[4]  Peter Hoffmann,et al.  A statistical model for the urban heat island and its application to a climate change scenario , 2012 .

[5]  T. Oke,et al.  An evapotranspiration‐interception model for urban areas , 1991 .

[6]  J. Wilczak,et al.  Sonic Anemometer Tilt Correction Algorithms , 2001 .

[7]  Fredrik Lindberg,et al.  Global to city scale urban anthropogenic heat flux: model and variability , 2011 .

[8]  Gerald Mills,et al.  Using LCZ data to run an urban energy balance model , 2015 .

[9]  Michael Hebbert,et al.  Urban Climatology Applied to Urban Planning: A Postwar Knowledge Circulation Failure , 2013 .

[10]  G. Mills,et al.  The energy budget of the urban surface: two locations in Dublin , 2012 .

[11]  Timothy R. Oke,et al.  Heat Storage in Urban Areas: Local-Scale Observations and Evaluation of a Simple Model , 1999 .

[12]  Hans Peter Schmid,et al.  A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements , 2013 .

[13]  Mitsuru Arai,et al.  A two-dimensional air quality model in an urban street canyon: evaluation and sensitivity analysis , 2000 .

[14]  M. J. Best,et al.  Trade‐offs and responsiveness of the single‐layer urban canopy parametrization in WRF: An offline evaluation using the MOSCEM optimization algorithm and field observations , 2010 .

[15]  Ari Karppinen,et al.  A modelling system for predicting urban air pollution:: comparison of model predictions with the data of an urban measurement network in Helsinki , 2000 .

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

[17]  R. Kormann,et al.  An Analytical Footprint Model For Non-Neutral Stratification , 2001 .

[18]  M. Conlon,et al.  Estimating the wind resource in an urban area: A case study of micro-wind generation potential in Dublin, Ireland , 2013 .

[19]  Dieter Scherer,et al.  Spatial and temporal air temperature variability in Berlin, Germany, during the years 2001–2010 , 2014 .

[20]  S. Myint,et al.  Land cover, climate, and the summer surface energy balance in Phoenix, AZ, and Portland, OR , 2012 .

[21]  J. Finnigan,et al.  Atmospheric Boundary Layer Flows: Their Structure and Measurement , 1994 .

[22]  C. Grimmond,et al.  Multi‐site evaluation of an urban land‐surface model: intra‐urban heterogeneity, seasonality and parameter complexity requirements , 2012 .

[23]  Ingegärd Eliasson,et al.  The use of climate knowledge in urban planning , 2000 .

[24]  Gerald Mills,et al.  Local Climate Classification and Dublin's Urban Heat Island , 2014, ATMOS 2014.

[25]  Iain Stewart,et al.  Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities , 2015, ISPRS Int. J. Geo Inf..

[26]  B. Maiheu,et al.  UrbClim – A fast urban boundary layer climate model , 2015 .

[27]  J. Unger,et al.  A multiple linear statistical model for estimating the mean maximum urban heat island , 2003 .

[28]  L. J. Shieh,et al.  A Generalized Urban Air Pollution Model and Its Application to the Study of SO2 Distributions in the St. Louis Metropolitan Area , 1974 .

[29]  J. Beringer,et al.  Impact of Increasing Urban Density on Local Climate: Spatial and Temporal Variations in the Surface Energy Balance in Melbourne, Australia , 2007 .

[30]  V. Masson,et al.  Advances in Urban Climate Modeling , 2008, Annals of the New York Academy of Sciences.

[31]  H. Mayer,et al.  Numerical study on the effects of aspect ratio and orientation of an urban street canyon on outdoor thermal comfort in hot and dry climate , 2006 .

[32]  L. Myrup,et al.  A Numerical Model of the Urban Heat Island. , 1969 .

[33]  J. Bouyer,et al.  Using Local Climate Zone scheme for UHI assessment: Evaluation of the method using mobile measurements , 2015 .

[34]  M. Shcherbakov,et al.  A Survey of Forecast Error Measures , 2013 .

[35]  L. Norford,et al.  The urban weather generator , 2013 .

[36]  Edward Ng,et al.  Climate Information for Improved Planning and Management of Mega Cities (Needs Perspective) , 2010 .

[37]  Dean Vickers,et al.  Quality Control and Flux Sampling Problems for Tower and Aircraft Data , 1997 .

[38]  E. K. Webb,et al.  Correction of flux measurements for density effects due to heat and water vapour transfer , 1980 .

[39]  Jason Ching,et al.  A perspective on urban canopy layer modeling for weather, climate and air quality applications , 2013 .

[40]  A. Guevara-Escobar,et al.  The role of urban vegetation in temperature and heat island effects in Querétaro city, Mexico , 2015 .

[41]  Ian N. Harman,et al.  The surface energy balance and boundary layer over urban street canyons , 2006 .

[42]  T. Oke,et al.  Local Climate Zones for Urban Temperature Studies , 2012 .

[43]  F. Kimura,et al.  Coupling a Single-Layer Urban Canopy Model with a Simple Atmospheric Model: Impact on Urban Heat Island Simulation for an Idealized Case , 2004 .

[44]  Ian N. Harman,et al.  Scalar Fluxes from Urban Street Canyons Part II: Model , 2004 .

[45]  Heike Konow,et al.  Atmospheric boundary layer measurements at the 280 m high Hamburg weather mast 1995-2011: mean annual and diurnal cycles , 2012 .

[46]  Timothy R. Oke,et al.  Parameterization of Net All-Wave Radiation for Urban Areas , 2003 .

[47]  E. S. Krayenhoff,et al.  Initial results from Phase 2 of the international urban energy balance model comparison , 2011 .

[48]  David J. Sailor,et al.  Modeling the impacts of anthropogenic heating on the urban climate of Philadelphia: a comparison of implementations in two PBL schemes , 2005 .

[49]  K. Taylor.  Summarizing multiple aspects of model performance in a single diagram , 2001 .

[50]  T. Oke,et al.  Turbulent Heat Fluxes in Urban Areas: Observations and a Local-Scale Urban Meteorological Parameterization Scheme (LUMPS) , 2002 .

[51]  C. Grimmond,et al.  The Surface Urban Energy and Water Balance Scheme (SUEWS): Evaluation in Los Angeles and Vancouver , 2011 .

[52]  S. Guhathakurta,et al.  Impact of urban form and design on mid-afternoon microclimate in Phoenix Local Climate Zones , 2014 .

[53]  T. Oke,et al.  Spatial variability of energy fluxes in suburban terrain , 1991 .

[54]  A. Rosenfeld,et al.  Residential cooling loads and the urban heat island—the effects of albedo , 1988 .

[55]  B. W. Atkinson.  Numerical Modelling of Urban Heat-Island Intensity , 2003 .

[56]  David J. Sailor,et al.  Correcting aggregate energy consumption data to account for variability in local weather , 2006, Environ. Model. Softw..

[57]  Timothy R. Oke,et al.  Towards better scientific communication in urban climate , 2006 .

[58]  E. Vivoni,et al.  Seasonal dynamics of a suburban energy balance in Phoenix, Arizona , 2014 .

[59]  Ian N. Harman,et al.  Scalar fluxes from urban street canyons. Part I: Laboratory simulation , 2004 .

[60]  Ian B. Strachan,et al.  Development of the Surface Urban Energy and Water Balance Scheme (SUEWS) for cold climate cities , 2014 .

[61]  Liam Heaphy.  The role of climate models in adaptation decision-making: the case of the UK climate projections 2009 , 2015 .

[62]  Klaus Keuler,et al.  Impacts of anthropogenic heat on regional climate patterns , 2004 .

[63]  Gail Brager,et al.  Developing an adaptive model of thermal comfort and preference , 1998 .

[64]  Fredrik Lindberg,et al.  Meteorological forcing data for urban outdoor thermal comfort models from a coupled convective boundary layer and surface energy balance scheme , 2015 .