Evaluation of different WRF-Urban Canopy Models performance in city-scale numerical simulations in Tehran Metropolis

نوع مقاله : مقاله پژوهشی‌

نویسندگان

1 Ph.D., Department of Marine and Atmospheric Science (non-Biologic), University of Hormozgan, Bandar Abbas, Iran

2 Professor, Department of Marine and Atmospheric Science (non-Biologic), University of Hormozgan, Bandar Abbas, Iran

چکیده

Simulation of near-surface weather parameters is a challenging process, especially in urban areas, because it is difficult to precisely identify surface characteristics in urban micro-scales. Different urban parameterizations for the representation of urban structure are coupled with numerical weather or climate models to improve the accuracy of the micro-scale simulations. In this study, the numerical results of the Weather Research and Forecasting model (WRF) with three different urban configurations, namely no urban canopy or the SLAB scheme, Single-Layer Urban Canopy Model (SLUCM) and Multi-Layer UCM or the Building Effect Parameterization (BEP) in the simulation of near-surface air temperature, relative humidity and wind speed are evaluated against the observations in Tehran Metropolis, during 15 to 29 June 2016. Overall, results show that SLUCM and BEP predict meteorological parameters more accurately than SLAB scheme. Although the performance of the model is not the same in different weather stations, comparing SLUCM and BEP results, on average, over four stations of Tehran shows that BEP results in minimum errors and the maximum Pearson coefficients. In addition, the more intense night-time urban heat island is also simulated in BEP (over 2.5°C) in comparison to SLUCM (1.5°C) and SLAB (0.5°C). However, the daytime UHI intensity is approximately simulated with the same intensity in the three mentioned simulations. Since high-resolution numerical simulations are time-consuming and expensive, current results can be used in other related studies to avoid extra costs.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Evaluation of different WRF-Urban Canopy Models performance in city-scale numerical simulations in Tehran Metropolis

نویسندگان [English]

  • Somayeh Arghavani 1
  • Hossein Malakooti 2
1 Ph.D., Department of Marine and Atmospheric Science (non-Biologic), University of Hormozgan, Bandar Abbas, Iran
2 Professor, Department of Marine and Atmospheric Science (non-Biologic), University of Hormozgan, Bandar Abbas, Iran
چکیده [English]

Simulation of near-surface weather parameters is a challenging process, especially in urban areas, because it is difficult to precisely identify surface characteristics in urban micro-scales. Different urban parameterizations for the representation of urban structure are coupled with numerical weather or climate models to improve the accuracy of the micro-scale simulations. In this study, the numerical results of the Weather Research and Forecasting model (WRF) with three different urban configurations, namely no urban canopy or the SLAB scheme, Single-Layer Urban Canopy Model (SLUCM) and Multi-Layer UCM or the Building Effect Parameterization (BEP) in the simulation of near-surface air temperature, relative humidity and wind speed are evaluated against the observations in Tehran Metropolis, during 15 to 29 June 2016. Overall, results show that SLUCM and BEP predict meteorological parameters more accurately than SLAB scheme. Although the performance of the model is not the same in different weather stations, comparing SLUCM and BEP results, on average, over four stations of Tehran shows that BEP results in minimum errors and the maximum Pearson coefficients. In addition, the more intense night-time urban heat island is also simulated in BEP (over 2.5°C) in comparison to SLUCM (1.5°C) and SLAB (0.5°C). However, the daytime UHI intensity is approximately simulated with the same intensity in the three mentioned simulations. Since high-resolution numerical simulations are time-consuming and expensive, current results can be used in other related studies to avoid extra costs.

کلیدواژه‌ها [English]

  • Microclimate simulations
  • WRF
  • urban Canopy Models
  • Tehran Metropolis
Ali Akbar Bidokhti, A. A., Shariepour, Z., and Sehatkashani, S., 2016, Some resilient aspects of urban areas to air pollution and climate change, case study: Tehran, Iran: Scientia Iranica,Transaction A, Civil Engineering, 23(5), 1994-2004.
Alizadeh-Choobari, O., Ghafarian, P., and Adibi, P., 2016, Inter-annual variations and trends of the urban warming in Tehran: Atmospheric Research, 170, 176–185.
Arghavani, S., Malakooti, H., and Ali Akbar Bidokhti, A. A., 2020, Numerical assessment of the urban green space scenarios on urban heat island and thermal comfort level in Tehran Metropolis: Journal of Cleaner Production, 261, 121183.
Bokaie, M., Shamsipour, A., Khatibi, P., and Hosseini, A., 2019, Seasonal monitoring of urban heat island using multi-temporal Landsat and MODIS images in Tehran: International Journal of Urban Sciences, 23, 269-285.
Chen, F., and Dudhia, J., 2001, Coupling an advanced land-surface/ hydrology model with the Penn State/NCAR MM5 modeling system. Part I: Model description and implementation: Monthly Weather Review, 129, 569–585.
Chen, F., Kusaka, H., Bornstein, R., Ching, J., Grimmond, C. S. B., Grossman-Clarke, S., and Zhang, C., 2011, The integratedWRF/ urban modelling system: development, evaluation, and applications to urban environmental problems: International Journal of Climatology, 31, 273–288.
Dudhia, J., 1989, Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model: Journal of the Atmospheric Sciences, 46, 3077-3107.
Hejazi zadeh, Z., and Karbalaee, A., 2015, Thermal comfort in IRAN: Geography, 46, 21-39.
Hong, S. Y., and Lim, J. O. J., 2006, The WRF single-moment 6-class microphysics scheme (WSM6): Journal of the Korean Meteorological Society, 42, 129–151.
Jahangir, M. S., and Moghim, S., 2019, Assessment of the urban heat island in the city of Tehran using reliability methods: Atmospheric Research, 225, 144-156.
Jandaghian, Z., and Berardi, U., 2020, Comparing urban canopy models for microclimate simulations in Weather Research and Forecasting Models: Sustainable Cities and Society, 55, 102025.
Janjic, Z. I., 1994, The step-mountain Eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes: Monthly Weather Review, 122, 927–945.
Janjic, Z. I., 2002, Nonsingular Implementation of the Mellor-Yamada Level 2.5 Scheme in the NCEP Meso Model: NCEP Office Note, 437, 61.
Kain, S., 2004, The Kain–Fritsch convective parameterization: An update. Journal of Applied Meteorology, 43, 170-181.
Kusaka, H., and Kimura, F., 2004, Coupling a single-layer urban canopymodel with a simple atmospheric model: Impact on urban heat island simulation for an idealized case: Journal of the Meteorological Society of Japan, 82, 67–80.
Kusaka, H., Kondo, H., Kikegawa, Y., and Kimura, F., 2001, A simple single-layer urban canopy model for atmospheric models: comparison with multi-layer and slab models: Boundry Layer Meteorology, 101, 329–358.
Landsberg, H. E., 1981, The Urban Climate, International Geophysics Series, 28: Academic Press, New York.
Liao, J., Wang, T., Wang, X., Xie, M., Jiang, Z., Huang, X., and Zhu, J., 2014, Impacts of different urban canopy schemes in WRF/Chem on regional climate and air quality in Yangtze River Delta, China: Atmospheric Research, 145146, 226–243.
Liu, C. Y., Chen, F., Warner, T. T., and Basara, J., 2006, Verification of a mesoscale data-assimilation and forecasting system for the Oklahoma City area during the joint urban 2003 field project: Journal Of Applied Meteorology and Climatology, 45, 912–929.
Martilli, A., Clappier, A., and Rotach, M. W., 2002, An urban surface exchange parameterisation for mesoscale models: Boundary-Layer Meteorology, 104(2), 261–304.
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A., 1997, Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave: Journal of Geophysical Research, 102(D14), 16663-16682.
Oke, T. R., Crowther, J. M., McNaughton, K. G., Monteith, J. L., and Gardiner, B., 1989, The micrometeorology of the urban forest [and discussion]: Philosophical Transactions Biological Sciences, 324, 335–349.
Rotach, M. W., 1993, Turbulence close to a rough urban surface part I: Reynolds stress: Boundry Layer Meteorology, 65(1-2), 1–28.
Rousta, I., Sarif, M. O., Gupta, R. D., Olafsson, H., Ranagalage, M., Murayama, Y., Zhang, H., and Mushore, T. D., 2018, Spatiotemporal analysis of land use/land cover and its effects on surface urban heat island using landsat data: A case study of metropolitan city Tehran (1988–2018): Sustainability, 10(12), 4433.
Skamarock, W. C., and Klemp, J. B., 2008, A time-split non hydrostatic atmospheric model: Journal of Computational Physics, 227, 3465-3485.
Teixeira, J. C., Fallmann, J., Carvalho, A. C., and Rocha, A., 2019, Surface to boundary layer coupling in the urban area of Lisbon comparing different urban canopy models in WRF: Urban Climate, 28, 100454.
Wang, J., Mao, J., Zhang, Y., Cheng, T., Yu, Q., Tan, J., and Ma, W., 2019, Simulating the effects of urban parameterizations on the passage of a cold front during a pollution episode in Megacity Shanghai: Atmosphere, 10(2), 79.