Burian, S. J., Brown, M., McPherson, T. N., Hartman, J., Han, W., Jeyachandran, I., and Rush, J.: Emerging urban databases for meteorological and dispersion, Sixth Symposium on the Urban Environment, Atlanta, GA, 28 January–2 February, Am. Meteorol. Soc.: Boston, MA, Paper 5.2, 2006.
Burian, S. J., Brown, M. J., and Augustus, N.: Development and assessment of the second generation National Building Statistics database, Seventh Symposium on the Urban Environment, San Diego, CA, 10–13 September, Am. Meteorol. Soc.: Boston, MA, Paper 5.4, 2007.
California Department of Water Resources (CDWR): A guide to estimating irrigation water needs of landscape plantings in California: The landscape coefficient method and WUCOLS III, Department of Water Resources, State of California, 1–150, 2000.
Changnon, S. A. and Huff, F. A.: The urban-related nocturnal rainfall anomaly at St. Louis, J. Climate Appl. Meteorol., 25, 1985–1995, https://doi.org/10.1175/1520-0450(1986)025<1985:TURNRA>2.0.CO;2, 1986.
Changnon, S. A.: Inadvertent weather modification in urban area: Lessons for global climate change, B. Am. Meteorol. Soc., 73, 619–627, https://doi.org/10.1175/1520-0477(1992)073<0619:IWMIUA>2.0.CO;2, 1992.
Chen, F. and Dudhia, J.: Coupling an advanced land-surface/hydrology model with the Penn State/NCAR MM5 modeling system. Part I: model implementation and sensitivity, Mon. Weather Rev., 129, 569–585, 2001.
Chen, F., Mitchell, K., Schaake, J., Xue, Y., Pan, H.-L., Koren, V., Duan, Q. Y., Ek, M., and Betts, A.: Modeling of land-surface evaporation by four schemes and comparison with FIFE observations, J. Geophys. Res., 101, 7251–7268, https://doi.org/10.1029/95JD02165, 1996.
Chen, F., Janjic, Z., and Mitchell, K.: Impact of atmospheric surface layer parameterization in the new land-surface scheme of the NCEP mesoscale Eta model, Boundary-Lay. Meteorol., 85, 391–421, https://doi.org/10.1023/A:1000531001463, 1997.
Chen, F., Kusaka, H., Tewari, M., Bao, J. W., and Harakuchi, H.: Utilizing the coupled WRF/LSM/urban modeling system with detailed urban classification to simulate the urban heat island phenomena over the Greater Houston area, Paper 9.11, Am. Meteorol. Soc., Fifth Symposium on the Urban Environment, Vancouver, BC, Canada, 2004.
Chen, F., Kusaka, H., Bornstein, R., Ching, J., Grimmond, C. S. B., Grossman-Clarke, S., Loridan, T., Manning, K. W., Martilli, A., Miao, S., Sailor, D., Salamanca, F. P., Taha, H., Tewari, M., Wang, X., Wyszogrodzki, A. A., and Zhang, C.: The integrated WRF/urban modelling system: development, evaluation, and applications to urban environmental problems, Int. J. Climatol., 31, 273–288, https://doi.org/10.1002/joc.2158, 2011.
Cheng, F. Y. and Byun, D. W.: Application of High Resolution Land Use and Land Cover Data for Atmospheric Modeling in the Houston-Galveston Metropolitan Area: Part I, Meteorological Simulation Results, Atmos. Environ., 42, 7795–7811, https://doi.org/10.1016/j.atmosenv.2008.04.055, 2008.
Cheng, F. Y., Hsu, Y. C., Lin, P. L., and Lin, T. H.: Investigation of the Effects of Different Land Use and Land Cover Patterns on Mesoscale Meteorological Simulations in the Taiwan Area, J. Appl. Meteorol. Climatol., 52, 570–587, https://doi.org/10.1175/JAMC-D-12-0109.1, 2013.
Ching, J., Brown, M., McPherson, T., Burian, S., Chen, F., Cionco, R., Hanna, A., Hultgren, T., Sailor, D., Taha, H., and Williams, D.: National Urban Database and Access Portal Tool, NUDAPT, B. Am. Meteorol. Soc., 90, 1157–1168, https://doi.org/10.1175/2009BAMS2675.1, 2009.
De Ridder, K., Bertrand, C., Casanova, G., and Lefebvre, W.: Exploring a new method for the retrieval of urban thermophysical properties using thermal infrared remote sensing and deterministic modeling, J. Geophys. Res., 117, D17108, https://doi.org/10.1029/2011JD017194, 2012.
Ek, M. B., Mitchell, K. E., Lin, Y., Rogers, E., Grunmann, P., Koren, V., Gayno, G., and Tarpley, J. D.: Implementation of Noah land surface model advances in the National Center for Environmental Prediction operational mesoscale Eta model, J. Geophys. Res., 108, 8851, https://doi.org/10.1029/2002JD003296, 2003.
Giannaros, T. M., Melas, D., Daglis, I. A., Keramitsoglou, I., and Kourtidis, K.: Numerical study of the urban heat island over Athens (Greece) with the WRF model, Atmos. Environ., 73, 103–111, https://doi.org/10.1016/j.atmosenv.2013.02.055, 2013.
Gutman, G. and Ignatov, A.: Derivation of green vegetation fraction from NOAA/AVHRR for use in numerical weather prediction models, Int. J. Remote Sens., 19, 1533–1543, 1998.
Hanasaki, N., Kanae, S., Oki, T., Masuda, K., Motoya, K., Shirakawa, N., Shen, Y., and Tanaka, K.: An integrated model for the assessment of global water resources – Part 1: Model description and input meteorological forcing, Hydrol. Earth Syst. Sci., 12, 1007–1025, https://doi.org/10.5194/hess-12-1007-2008, 2008a.
Hanasaki, N., Kanae, S., Oki, T., Masuda, K., Motoya, K., Shirakawa, N., Shen, Y., and Tanaka, K.: An integrated model for the assessment of global water resources – Part 2: Applications and assessments, Hydrol. Earth Syst. Sci., 12, 1027–1037, https://doi.org/10.5194/hess-12-1027-2008, 2008b.
Jiang, X., Wiedinmyer, C., Chen, F., Yang, Z. L., and Lo, J. C. F.: Predicted impacts of climate and land use change on surface ozone in the Houston, Texas, area, J. Geophys. Res., 113, D20312, https://doi.org/10.1029/2008JD009820, 2008.
Jin, M. and Shepherd J. M.: Inclusion of urban landscape in a climate model – How can satellite data help?, B. Am. Meteorol. Soc., 86, 681–689, https://doi.org/10.1175/BAMS-86-5-681, 2005.
Johnson, T. D. and Belitz K.: A remote sensing approach for estimating 1 the location and rate of urban irrigation in semi-arid climates, J. Hydrology, 414–415, 86–98, 2012.
Justice, C. O., Townshend, J. R. G., Vermote, E. F., Masuoka, E., Wolfe, R. E., Saleous, N., Roy, D. P., and Morisette, J. T.: An overview of MODIS land data processing and product status, Remote Sens. Environ., 83, 3–15, 2002.
Kusaka, H. and Kimura, F.: Thermal effects of urban canyon structure on the nocturnal heat island:Numerical experiment using a mesoscale model coupled with an urban canopy model, J. Appl. Meteorol., 43, 1899–1910, 2004.
Kusaka, H., Kondo, H., Kikegawa, Y., and Kimura, F.: A simple single-layer urban canopy model for atmospheric models: Comparison with multi-layer and slab models, Boundary-Lay. Meteorol., 101, 329–358, 2001.
Latifi, H. and Galos, B.: Remote sensing-supported vegetation parameters for regional climate models: a brief review, iForest, 3, 98–101, https://doi.org/10.3832/ifor0543-003, 2010.
Li, D. and Bou-Zeid, E.: Quality and Sensitivity of High-Resolution Numerical Simulation of Urban Heat Islands, Environ. Res. Lett., 9, 055001, https://doi.org/10.1088/1748-9326/9/5/055001, 2014.
Liang, S.: Narrowband to broadband conversions of land surface albedo: I Algorithms, Remote Sens. Environ., 76, 213–238, 2000.
Loridan, T., Grimmond, C. S. B., Grossman-Clarke, S., Chen, F., Tewari, M., Manning, K., Martilli, A., Kusaka, H., and Best, M.: Trade-offs and responsiveness of the single-layer urban parameterization in WRF: an offline evaluation using the MOSCEM optimization algorithm and field observations, Q. J. R. Meteorol. Soc., 136, 997–1019, https://doi.org/10.1002/qj.614, 2010.
Lowry, W.: Urban effects on precipitation amount, Prog. Phys. Geog., 22, 477–520, https://doi.org/10.1177/030913339802200403, 1998.
Marshall, C. H., Pielke, R. A., Steyaert, L., and Willard, D.: The impact of anthropogenic land-cover change on the Florida peninsula sea breezes and warm season sensible weather, Mon. Weather Rev., 132, 28–52, https://doi.org/10.1175/1520-0493(2004)132<0028:TIOALC>2.0.CO;2, 2004.
McPherson, E. G., Simpson, J. R., Xiao, Q., and Wu, C.: Los Angeles 1-million tree canopy cover assessment, Gen. Tech. Rep. PSW-GTR-207, Albany, CA: US Department of Agriculture, Forest Service, Pacific Southwest Research Station, 52 p., 2008.
Miao, S. and Chen, F.: Formation of horizontal convective rolls in urban areas, Atmos. Res., 89, 298–304, https://doi.org/10.1016/j.atmosres.2008.02.013, 2008.
Miao, S., Chen F., LeMone, M. A., Tewari M., Li, Q., and Wang, Y.: An observational and modeling study of characteristics of urban heat island and boundary layer structures in Beijing, J. Appl. Meteorol. Climatol., 48, 484–501, https://doi.org/10.1175/2008JAMC1909.1, 2009.
Mini, C., Hogue, T. S., and Pincetl, S.: Estimation of Residential Outdoor Water Use in Los Angeles, California, Landscape Urban Plan., 127, 124–135, https://doi.org/10.1016/j.landurbplan.2014.04.007, 2014.
Moering, D. C.: A comparative study of evapotranspiration rates between irrigated and non-irrigated parks in Los Angeles, M.S. thesis, Dep. of Civil and Env. Eng., University of California Los Angeles, Los Angeles, California, 2011.
National Weather Service (NWS): Jet Stream – The Marine Layer, NOAA National Weather Service, available at: http://www.srh.noaa.gov/jetstream/ocean/marine.htm (last access: 24 February 2013), 2011.
Niyogi, D., Holt, T., Zhong, S., Pyle, P. C., and Basara, J.: Urban and land surface effects on the 30 July 2003 mesoscale convective system event observed in the Southern Great Plains, J. Geophys. Res., 111, D19107, https://doi.org/10.1029/2005JD006746, 2006.
Pielke, R. A. Sr., Marland, G., Betts, R. A., Chase, T. N., Eastman, J. L., Niles, J. O., Niyogi, D., and Running, S.: The influence of land-use change and landscape dynamics on the climate system: Relevance to climate change policy beyond the radiative effect of greenhouse gases, Phil. Trans. R. Soc. London A, 360, 1705–1719, 2002.
Pokhrel, Y., Hanasaki, N., Koirala, S., Cho, J., Kim, H., Yeh, P. J.-F., Kanae, S., and Oki, T.: Incorporating anthropogenic water regulation modules into a land surface model, J. Hydrometeorol., 13, 255–269, https://doi.org/10.1175/JHM-D-11-013.1, 2012.
Shuai, Y., Schaaf, C. B., Strahler, A. H., Liu, J., and Jiao, Z.: Quality assessment of BRDF/albedo retrievals in MODIS operational system, Geophys. Res. Lett., 35, L05407, https://doi.org/10.1029/2007GL032568, 2008.
Shuai, Y., Masek, J. G., Gao, F., and Schaaf, C. B.: An algorithm for the retrieval of 30-m snow-free albedo from Landsat surface reflectance and MODIS BRDF, Remote Sens. Environ., 115, 2204–2216, https://doi.org/10.1016/j.rse.2011.04.019, 2011.
Sobrino, J. A. and Raissouni, N.: Toward remote sensing methods for land cover dynamic monitoring: Application to Morocco, Int. J. Remote Sens., 21, 353–366, https://doi.org/10.1080/014311600210876, 2000.
Song, M. and Civco, D. L.: A knowledge-based approach for reducing cloud and shadow, Proceedings of the American Society of Photogrammetry and Remote Sensing annual convention, Washington, DC: Am. Soc. Photogramm. Remote Sens., 7 p., 2002.
Stathopoulou, M. and Cartalis, C.: Daytime urban heat islands from Landsat ETM+ and Corine land cover data: An application to major cities in Greece, Sol. Energy, 81, 358–368, https://doi.org/10.1016/j.solener.2006.06.014, 2007.
Stathopoulou, M., Cartalis, C., and Petrakis, M.: Integrating Corine Land Cover data and Landsat TM for surface emissivity definition: application to the urban area of Athens, Greece, Int. J. Remote Sens., 28, 3291–3304, https://doi.org/10.1080/01431160600993421, 2007.
Stenberg, P., Rautiainen, M., Manninen, T., Voipio, P., and Smolander, H.: Reduced simple ratio better than NDVI for estimating LAI in Finnish pine and spruce stands, Silva Fennica, 38, 3–14, 2004.
Taha, H.: Meso-urban meteorological and photochemical modeling of heat island mitigation, Atmos. Environ., 42, 8795–8809, https://doi.org/10.1016/j.atmosenv.2008.06.036, 2008.
Taha, H., Douglas, S., and Haney, J.: Mesoscale meteorological and air quality impacts of increased urban albedo and vegetation, Energ. Buildings, 25, 169–177, https://doi.org/10.1016/S0378-7788(96)01006-7, 1997.
Tan, M. and Li, X.: Integrated assessment of the cool island intensity of green spaces in the mega city of Beijing, Int. J. Remote Sens., 34, 3028–3043, https://doi.org/10.1080/01431161.2012.757377, 2013.
Tewari, M., Kusaka, H., Chen, F., Coirier, W. J., Kim, S., Wyszogrodzki, A., and Warner, T. T.: Impact of coupling a microscale computational fluid dynamics model with a mesoscale model on urban scale contaminant transport and dispersion, Atmos. Res., 96, 656–664, https://doi.org/10.1016/j.atmosres.2010.01.006, 2010.
US Census: US Census Bureau Releases Data on Population Distribution and Change in the US Based on Analysis of 2010 Census Results, US Census Bureau, 24 March 2011.
Vahmani, P. and Hogue, T. S.: Modelling and analysis of the impact of urban irrigation on land surface fluxes in the Los Angeles metropolitan area, Climate and Land Surface Changes in Hydrology Proceedings of H01, IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July 2013, IAHS Publ. 359, 2013.
Vahmani, P. and Hogue, T. S.: Incorporating an Urban Irrigation Module into the Noah Land Surface Model Coupled with an Urban Canopy Model, J. Hydrometeorol., 15, 1440–1456, https://doi.org/10.1175/JHM-D-13-0121.1, 2014.
Van Wevenberg, K., De Ridder, K., and Van Rompaey, A.: Modeling the contribution of the Brussels heat island to a long temperature time series, J. Appl. Meteorol. Climatol., 47, 976E990, https://doi.org/10.1175/2007JAMC1482.1, 2008.
Wang, X. M., Chen, F., Wu, Z. Y., Zhang, M. G., Tewari, M., Guenther, A., and Wiedinmyer, C.: Impacts of weather conditions modified by urban expansion on surface ozone: comparison between the Pearl River Delta and Yangtze River Delta regions, Adv. Atmos. Sci., 26, 962–972, https://doi.org/10.1007/s00376-009-8001-2, 2009.
Wang, Z. H., Bou-Zeid, E., Au, S. K., and Smith, J. A.: Analyzing the sensitivity of WRF's single-layer urban canopy model to parameter uncertainty using advanced Monte Carlo simulation, J. Appl. Meteor. Climatol., 50, 1795–1814, https://doi.org/10.1175/2011JAMC2685.1, 2011.
Wei-guang, M., Yan-xia, Z., Jiang-nan, L., Wen-shi, L., Guang-feng, D., and Hao-rui, L.: Application of WRF/UCM in the simulation of a heat wave event and urban heat island around Guangzhou, J. Trop. Meteorol., 3, 257–267, https://doi.org/10.3969/j.issn.1006-8775.2011.03.007, 2011.