Abstract
To evaluate the contribution of urban surface expansion to regional warming using different methods to calculate the daily mean surface air temperature (SAT), satellite-based images displaying urban surface expansion over the past 37 years (1980–2016) across China were collected for use in nested numerical experiments using the weather research and forecasting (WRF) regional climate model. The contribution of urban surface expansion to urban-related warming was determined using the daily mean SAT averages based on four time records each day (00, 06, 12, and 18 h UTC, T4) and averages of the SAT maximum (Tmax) and minimum (Tmin) (Txn). The contribution of urban surface expansion to urban-related warming (relative value) in Beijing was 0.110°C per decade (22.8% of total warming) for T4 and 0.094°C per decade (20.2%) for Txn. The values obtained when using T4 were larger than those obtained when using Txn. Differences in the urban-related warming calculated using T4 and Txn could be attributed to the smaller changing trends in Txn in the urban-surface expansion experiment, which resulted from a large changing trend in Tmin and a much smaller changing trend in Tmax. The changes in the diurnal cycle of the energy budget due to urban surface expansion induced changes in the diurnal cycle of SAT, as evidenced by the four time records each day, as well as Tmax and Tmin. This was especially true for periods of intense urban surface expansion, although the annual mean SAT calculated using Txn was larger than that calculated using T4. The increase in impervious area (walls, streets, etc.) due to urban surface expansion, as well as the widespread use of building materials with a large heat capacity resulted in a marked increase in ground heat flux in the daytime. This restricted the increase in SAT in the daytime, but promoted it at night. The increases in SAT due to urban surface expansion were not symmetrical, being smaller in the daytime and larger at night.
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References
China Meteorological Administration. 2007. Specifications for surface meteorological observation part 6: Measurement of air temperature and humidity (QX/T 50-2007) (in Chinese). Beijing: China Meteorol Press. 14
Fita L, Fernandez J, Garcia-Diez M. 2010. CLWRF: WRF modifications for regional climate simulation under future scenarios. http://meteo. unican.es/files/pdfs/WRFusers_clwrf.pdf
Gallo K P, Easterling D R, Peterson T C. 1996. The influence of land use/land cover on climatological values of the diurnal temperature range. J Clim, 9: 2941–2944
Hansen J, Ruedy R, Sato M, Lo K. 2010. Global surface temperature change. Rev Geophys, 48: RG4004
Hu Y, Jia G, Pohl C, Feng Q, He Y, Gao H, Xu R, van Genderen J, Feng J. 2015. Improved monitoring of urbanization processes in China for regional climate impact assessment. Environ Earth Sci, 73: 8387–8404
Jia G S, Xu R H, Hu Y H, He Y T. 2015. Multi-scale remote sensing estimates of urban fractions and road widths for regional models. Clim Change, 129: 543–554
Kalnay E, Cai M. 2003. Impact of urbanization and land-use change on climate. Nature, 423: 528–531
Kanamitsu M, Ebisuzaki W, Woollen J, Yang S K, Hnilo J J, Fiorino M, Potter G L. 2002. NCEP-DOE AMIP-II reanalysis (R-2). Bull Amer Meteorol Soc, 83: 1631–1644
Karl T R, Jones P D. 1989. Urban bias in area-averaged surface air temperature trends. Bull Amer Meteorol Soc, 70: 265–270
Liu W D, Zhang B Z, You H L, Yang P. 2014. Preliminary analysis of urbanization effects on temperature change during 1978–2008 (in Chinese). Meteorol Mon, 40: 94–100
Miller A A. 1953. Climatology. 8th ed. London: Methuen and Co. Ltd. 318
Misra V, Michael J P, Boyles R, Chassignet E P, Griffin M, O’Brien J J. 2012. Reconciling the spatial distribution of the surface temperature trends in the Southeastern United States. J Clim, 25: 3610–3618
Peterson T C, Gallo K P, Lawrimore J, Owen T W, Huang A, McKittrick D A. 1999. Global rural temperature trends. Geophys Res Lett, 26: 329–332
Pielke Sr. R A, Davey C A, Niyogi D, Fall S, Steinweg-Woods J, Hubbard K, Lin X, Cai M, Lim Y K, Li H, Nielsen-Gammon J, Gallo K, Hale R, Mahmood R, Foster S, McNider R T, Blanken P. 2007. Unresolved issues with the assessment of multidecadal global land surface temperature trends. J Geophys Res, 112: D24S08
Skamarock W C, Klemp J. B., Dudhia J, Gill D O, Barker D M, Duda M G, Huang X Y, Wang W, Powers J G. 2008. A Description of the Advanced Research WRF Version 3. 113
Tang G L, Ding Y H. 2007. Impacts of the average air temperature derived from maximum and minimum temperatures on annual mean air temperatures series of China (in Chinese). J Appl Meteorol Sci, 18: 187–192
Trusilova K, Jung M, Churkina G, Karstens U, Heimann M, Claussen M. 2007. Urbanization impacts on the climate in Europe: Numerical experiments by the PSU-NCAR mesoscale model (MM5). J Appl Meteorol Climatol, 47: 1442–1455
Vose R S, Easterling D R, Gleason B. 2005. Maximum and minimum temperature trends for the globe: An update through 2004. Geophys Res Lett, 32: L23822
Wang K C. 2015. Sampling biases in datasets of historical mean air temperature over land. Sci Rep, 4: 4637
Wang J, Tett S F B, Yan Z. 2017. Correcting urban bias in large-scale temperature records in China, 1980–2009. Geophys Res Lett, 44: 401–408
Wang J, Yan Z W. 2016. Urbanization-related warming in local temperature records: A review. Atmos Ocean Sci Lett, 9: 129–138
Yan Z W, Wang J, Xia J J, Feng J M. 2016. Review of recent studies of the climatic effects of urbanization in China. Adv Clim Change Res, 7: 154–168
Zhao D M, Wu J. 2017a. Contribution of urban surface expansion to regional warming in Beijing, China. J Appl Meteorol Climatol, 56: 1551–1559
Zhao D M, Wu J. 2017b. The influence of urban surface expansion in China on regional climate. J Clim, 30: 1061–1080
Zhao J, Gong A D, Xu J. 2008. Progress in study on urban heat island at home and abroad (in Chinese). J Nat Disasters, 17: 64–67
Acknowledgements
The authors thank the reviewers for their numerous valuable comments to improve the manuscript. This work was supported by the National Natural Science Foundation of China (Grant Nos. 41775087 & 41675149), the National Key R & D Program of China (Grant No. 2016YFA0600403), the Chinese Academy of Sciences Strategic Priority Program (Grant No. XDA05090206), the National Key Basic Research Program on Global Change (Grant No. 2011CB952003), and the Jiangsu Collaborative Innovation Center for Climatic Change.
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Zhao, D., Wu, J. Comparisons of urban-related warming in Beijing using different methods to calculate the daily mean temperature. Sci. China Earth Sci. 62, 693–702 (2019). https://doi.org/10.1007/s11430-018-9298-x
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DOI: https://doi.org/10.1007/s11430-018-9298-x