Skip to main content
Log in

Statistical and dynamical characteristics of the urban heat island intensity in Seoul

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

The statistical and dynamical characteristics of the urban heat island (UHI) intensity in Seoul are investigated for non-precipitation days and precipitation days using 4-year surface meteorological data with 1-h time intervals. Furthermore, the quantitative influence of synoptic pressure pattern on the UHI intensity is examined using a synoptic condition clustering method. The statistical analysis shows that the daily maximum UHI intensity in Seoul for non-precipitation days is strongest in autumn (4.8°C) and weakest in summer (3.5°C). The daily maximum UHI intensity is observed around midnight in all seasons except in winter when the maximum occurrence frequency is found around 08 LST. This implies that anthropogenic heating contributes to the UHI in the cold season. The occurrence frequency of the UHI intensity has a negatively skewed distribution for non-precipitation days but a positively skewed distribution for precipitation days. The amplitude of the heating/cooling rate and the difference in the heating/cooling rate between the urban and rural areas are smaller in all seasons for precipitation days than for non-precipitation days, resulting in weaker UHI intensities for precipitation days. The urban cool island occurs very often in the daytime, with an occurrence frequency being 77% of the total non-precipitation days in spring. The analysis of the impact of large-scale dynamical forcing shows that the daily maximum UHI intensity varies with synoptic pressure pattern, ranging from −22% in spring to 28% in summer relative to the seasonal mean daily maximum UHI intensity. Comparison of the UHI intensity calculated using station-averaged temperatures to that based on the conventional two-station approach indicates that local effects on the UHI intensity are minimized by using multiple-station data. Accordingly, an estimation of the UHI intensity using station-averaged temperatures for both urban and rural areas is suggested.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Arnfield AJ (2003) Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island. Int J Climatol 23:1–26

    Article  Google Scholar 

  • Atkinson BW (2003) Numerical modelling of urban heat-island intensity. Boundary-Layer Meteorol 109:285–310

    Article  Google Scholar 

  • Baik JJ, Kim YH, Chun HY (2001) Dry and moist convection forced by an urban heat island. J Appl Meteorol 40:1462–1475

    Article  Google Scholar 

  • Bejaran RA, Camilloni IA (2003) Objective method for classifying air masses: an application to the analysis of Buenos Aires’ (Argentina) urban heat island intensity. Theor Appl Climatol 74:93–103

    Article  Google Scholar 

  • Chow WTL, Roth M (2006) Temporal dynamics of the urban heat island of Singapore. Int J Climatol 26:2243–2260

    Article  Google Scholar 

  • Eliasson I (1996) Urban nocturnal temperatures, street geometry and land use. Atmos Environ 30:379–392

    Article  Google Scholar 

  • Fan H, Sailor DJ (2005) Modeling the impacts of anthropogenic heating on the urban climate of Philadelphia: a comparison of implementations in two PBL schemes. Atmos Environ 39:73–84

    Article  Google Scholar 

  • Figuerola PI, Mazzeo NA (1998) Urban–rural temperature differences in Buenos Aires. Int J Climatol 18:1709–1723

    Article  Google Scholar 

  • Gedzelman SD, Austin S, Cermak R, Stefano N, Partridge S, Quesenberry S, Robinson DA (2003) Mesoscale aspects of the urban heat island around New York City. Theor Appl Climatol 74:29–42

    Google Scholar 

  • Jauregui E (1997) Heat island development in Mexico City. Atmos Environ 31:3821–3831

    Article  Google Scholar 

  • Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo KC, Ropelewski C, Wang J, Leetmaa A, Reynolds R, Jenne R, Joseph D (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:437–471

    Article  Google Scholar 

  • Kim YH, Baik JJ (2002) Maximum urban heat island intensity in Seoul. J Appl Meteorol 41:651–659

    Article  Google Scholar 

  • Kim YH, Baik JJ (2004) Daily maximum urban heat island intensity in large cities of Korea. Theor Appl Climatol 79:151–164

    Article  Google Scholar 

  • Kim YH, Baik JJ (2005) Spatial and temporal structure of the urban heat island in Seoul. J Appl Meteorol 44:591–605

    Article  Google Scholar 

  • Klysik K, Fortuniak K (1999) Temporal and spatial characteristics of the urban heat island of Lodz, Poland. Atmos Environ 33:3885–3895

    Article  Google Scholar 

  • Lee SH, Park SU (2008) A vegetated urban canopy model for meteorological and environmental modelling. Boundary-Layer Meteorol 126:73–102

    Article  Google Scholar 

  • Lee SH, Song CK, Baik JJ, Park SU (2009) Estimation of anthropogenic heat emission in the Gyeong-In region of Korea. Theor Appl Climatol 96:291–303

    Article  Google Scholar 

  • Makar PA, Gravel S, Chirkov V, Strawbridge KB, Froude F, Arnold J, Brook J (2006) Heat flux, urban properties, and regional weather. Atmos Environ 40:2750–2766

    Article  Google Scholar 

  • Morris CJG, Simmonds I (2000) Associations between varying magnitudes of the urban heat island and the synoptic climatology in Melbourne, Australia. Int J Climatol 20:1931–1954

    Article  Google Scholar 

  • Morris CJG, Simmonds I, Plummer N (2001) Quantification of the influences of wind and cloud on the nocturnal urban heat island of a large city. J Appl Meteorol 40:169–182

    Article  Google Scholar 

  • Oke TR (1973) City size and the urban heat island. Atmos Environ 7:769–779

    Article  Google Scholar 

  • Oke TR (1982) The energetic basis of the urban heat island. Q J R Meteorol Soc 108:1–24

    Google Scholar 

  • Oke TR, Maxwell BB (1975) Urban heat island dynamics in Montreal and Vancouver. Atmos Environ 9:191–200

    Article  Google Scholar 

  • Park SU, Yoon IH (1991) The characteristic features of local weather phenomena under the various synoptic winds over South Korea. J Korean Meteorol Soc 27:87–118

    Google Scholar 

  • Segal M, Arritt RW (1992) Nonclassical mesoscale circulations caused by surface sensible heat-flux gradients. Bull Am Meteorol Soc 73:1593–1604

    Article  Google Scholar 

  • Szymanowski M (2005) Interactions between thermal advection in frontal zones and the urban heat island of Wroclaw, Poland. Theor Appl Climatol 82:207–224

    Article  Google Scholar 

  • Unger J (1996) Heat island intensity with different meteorological conditions in a medium-sized town: Szeged, Hungary. Theor Appl Climatol 54:147–151

    Article  Google Scholar 

  • Vukovich FM, Dunn J, Crissman B (1976) A theoretical study of the St. Louis heat island: the wind and temperature distribution. J Appl Meteorol 15:417–440

    Article  Google Scholar 

  • Yague C, Zurita E, Martinez A (1991) Statistical analysis of the Madrid urban heat island. Atmos Environ 25B:327–332

    Google Scholar 

Download references

Acknowledgments

The authors are very grateful to two anonymous reviewers for providing valuable comments on this paper. This work was funded by the Korea Meteorological Administration Research and Development Program under Grant CATER 2006-2202.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jong-Jin Baik.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lee, SH., Baik, JJ. Statistical and dynamical characteristics of the urban heat island intensity in Seoul. Theor Appl Climatol 100, 227–237 (2010). https://doi.org/10.1007/s00704-009-0247-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-009-0247-1

Keywords

Navigation