WUDAPT, an efficient land use producing data tool for mesoscale models? Integration of urban LCZ in WRF over Madrid

Alexander, 2015, Using LCZ data to run an urban energy balance model, Urban Climate, 13, 14, 10.1016/j.uclim.2015.05.001

Arnfield, 2003, Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island, Int. J. Climatol., 23, 1, 10.1002/joc.859

Bechtel, 2012, Classification of local climate zones based on multiple earth observation data, IEEE J. Sel. Top. App. Earth Obs. Remote. Sens., 5, 1191, 10.1109/JSTARS.2012.2189873

Bechtel, 2015, Mapping local climate zones for a worldwide database of the form and function of cities, ISPRS Int. J. Geo-Inform., 4, 199, 10.3390/ijgi4010199

Breiman, 2001, Random forests, Mach. Learn., 45, 5, 10.1023/A:1010933404324

Chen, 2011, The integrated WRF/urban modelling system: development, evaluation, and applications to urban environmental problems, Int. J. Climatol., 31, 273, 10.1002/joc.2158

Ching, 2014

Ching, 2015, The portal component, strategic perspectives and review of tactical plans for full implementation of WUDAPT

Congalton, 1991, A review of assessing the accuracy of classifications of remotely sensed data, Remote Sens. Environ., 37, 35, 10.1016/0034-4257(91)90048-B

Conrad, 1991, System for Automated Geoscientific Analyses (SAGA) v. 2.1.4, Geosci. Model Dev., 8, 10.5194/gmd-8-1991-2015

Emmanuel, 2006, Influence of urban morphology and sea breeze on hot humid microclimate: the case of Colombo, Sri Lanka, Clim. Res., 30, 189, 10.3354/cr030189

Fernandez, 2011, Urban climate research in Spain, Newsl. Int. Assoc. Urban Climate, 40

Fernandez, 2012, El clima urbano: aspectos generales y su aplicación en el área de Madrid, Indice, 50, 21

Guhathakurta, 2007, The impact of the Phoenix urban heat island on residential water use, J. Am. Plan. Assoc., 73, 317, 10.1080/01944360708977980

Howard, 1833, vols. I–III

Järvi, 2011, The Surface Urban Energy and Water Balance Scheme (SUEWS): evaluation in Los Angeles and Vancouver, J. Hydrol., 411, 219, 10.1016/j.jhydrol.2011.10.001

Loridan, 2013, High resolution simulation of the variability of surface energy balance fluxes across central London with urban zones for energy partitioning, Bound.-Layer Meteorol., 147, 493, 10.1007/s10546-013-9797-y

Martilli, 2002, Numerical study of urban impact on boundary layer structure: sensitivity to wind speed, urban morphology, and rural soil moisture, J. Appl. Meteorol., 41, 1247, 10.1175/1520-0450(2002)041<1247:NSOUIO>2.0.CO;2

Martilli, 2014, An idealized study of city structure, urban climate, energy consumption, and air quality, Urban Climate, 10, 430, 10.1016/j.uclim.2014.03.003

Masson, 2000, A physically-based scheme for the urban energy budget in atmospheric models, Bound.-Layer Meteorol., 94, 357, 10.1023/A:1002463829265

Masson, 2006, Urban surface modeling and the meso-scale impact of cities, Theor. Appl. Climatol., 84, 35, 10.1007/s00704-005-0142-3

Mills, 2015, An Introduction to the WUDAPT Project

Morris, 2001, Quantification of the influences of wind and cloud on the nocturnal urban heat island of a large city, J. Appl. Meteorol., 40, 169, 10.1175/1520-0450(2001)040<0169:QOTIOW>2.0.CO;2

Oke, 1982, The energetic basis of the urban heat island, Q. J. R. Meteorol. Soc., 108, 1

Ruth, 2007, Understanding and managing the complexity of urban systems under climate change, Clim. Pol., 7, 317, 10.1080/14693062.2007.9685659

Salamanca, 2010, A new Building Energy Model coupled with an Urban Canopy Parameterization for urban climate simulations—part II. Validation with one dimension off-line simulations, Theor. Appl. Climatol., 99, 345, 10.1007/s00704-009-0143-8

Salamanca, 2010, A new building energy model coupled with an urban canopy parameterization for urban climate simulations—part I. Formulation, verification, and sensitivity analysis of the model, Theor. Appl. Climatol., 99, 331, 10.1007/s00704-009-0142-9

Salamanca, 2012, A numerical study of the Urban Heat Island over Madrid during the DESIREX (2008) campaign with WRF and an evaluation of simple mitigation strategies., Int. J. Climatol., 32, 2372, 10.1002/joc.3398

See, 2015, Developing a community-based worldwide urban morphology and materials database (WUDAPT) using remote sensing and crowdsourcing for improved urban climate modelling, 1

Souch, 2006, Applied climatology: urban climate, Prog. Phys. Geogr., 30, 270, 10.1191/0309133306pp484pr

Stewart, 2012, Local climate zones for urban temperature studies, Bull. Am. Meteorol. Soc., 93, 1879, 10.1175/BAMS-D-11-00019.1

Stewart, 2014, Evaluation of the ‘local climate zone’ scheme using temperature observations and model simulations, Int. J. Climatol., 34, 1062, 10.1002/joc.3746

Tan, 2010, The urban heat island and its impact on heat waves and human health in Shanghai, Int. J. Biometeorol., 54, 75, 10.1007/s00484-009-0256-x

United Nations. Department of Economic and Social Affairs. Population Division, 2015

Watkins, 2007, Increased temperature and intensification of the urban heat island: implications for human comfort and urban design, Built Environ., 1978, 85, 10.2148/benv.33.1.85