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Simultaneous assessment of the summer urban heat island in Moscow megacity based on in situ observations, thermal satellite images and mesoscale modeling

https://doi.org/10.24057/2071-9388-2019-10

Abstract

This study compares three popular approaches to quantify the urban heat island (UHI) effect in Moscow megacity in a summer season (June-August 2015). The first approach uses the measurements of the near-surface air temperature obtained from weather stations, the second is based on remote sensing from thermal imagery of MODIS satellites, and the third is based on the numerical simulations with the mesoscale atmospheric model COSMO-CLM coupled with the urban canopy scheme TERRA_URB. The first approach allows studying the canopy-layer UHI (CLUHI, or anomaly of a near- surface air temperature), while the second allows studying the surface UHI (SUHI, or anomaly of a land surface temperature), and both types of the UHI could be simulated by the atmospheric model. These approaches were compared in the daytime, evening and nighttime conditions. The results of the study highlight a substantial difference between the SUHI and CLUHI in terms of the diurnal variation and spatial structure. The strongest differences are found at the daytime, at which the SUHI reaches the maximal intensity (up to 10°С) whereas the CLUHI reaches the minimum intensity (1.5°С). However, there is a stronger consistency between CLUHU and SUHI at night, when their intensities converge to 5–6°С. In addition, the nighttime CLUHI and SUHI have similar monocentric spatial structure with a temperature maximum in the city center. The presented findings should be taken into account when interpreting and comparing the results of UHI studies, based on the different approaches. The mesoscale model reproduces the CLUHI-SUHI relationships and provides good agreement with in situ observations on the CLUHI spatiotemporal variations (with near-zero biases for daytime and nighttime CLUHI intensity and correlation coefficients more than 0.8 for CLUHI spatial patterns). However, the agreement of the simulated SUHI with the remote sensing data is lower than agreement of the simulated CLUHI with in situ measurements. Specifically, the model tends to overestimate the daytime SUHI intensity. These results indicate a need for further in-depth investigation of the model behavior and SUHI–CLUHI relationships in general.

About the Authors

Mikhail I. Varentsov
Lomonosov Moscow State University; A.M. Obukhov Institute of Atmospheric Physics; Hydrometeorological Research Center of Russia
Russian Federation

Lomonosov Moscow State University, Faculty of Geography / Research Computing Center

Moscow



Mikhail Y. Grishchenko
Lomonosov Moscow State University
Russian Federation

Faculty of Geography / Research Computing Center

Moscow



Hendrik Wouters
Ghent University
Belgium

Department of Forest and Water Management

Ghent



References

1. Baldina E. A., Grishchenko M. Yu. (2014). Interpretation of multi-temporal space imagery in thermal infrared band. Moscow University Vestnik. Series 5. Geography, 3, pp. 35-42 (in Russian with English summary).

2. Bohnenstengel S. I., Evans S., Clark P. A., and Belcher S. E. (2011). Simulations of the London urban heat island. Quarterly Journal of the Royal Meteorological Society, 137(659), pp. 1625–1640, DOI: 10.1002/qj.855.

3. Buechley R. W., Van Bruggen J., and Truppi L. E. (1972). Heat island = death island? Environmental Research, 5(1), pp. 85–92, DOI: 10.1016/0013-9351(72)90022-9.

4. Cheval S. and Dumitrescu A. (2015). The summer surface urban heat island of Bucharest (Romania) retrieved from MODIS images. Theoretical and Applied Climatology, 121(3–4), pp. 631–640, DOI: 10.1007/s00704-014-1250-8.

5. Cheval S. and Dumitrescu A. (2017). Rapid daily and sub-daily temperature variations in an urban environment. Climate Research, 73(3), pp. 233–246. DOI: 10.3354/cr01481.

6. Choi Y.-Y., Suh M.-S., and Park K.-H. (2014). Assessment of Surface Urban Heat Islands over Three Megacities in East Asia Using Land Surface Temperature Data Retrieved from COMS. Remote Sensing, 6(6), pp. 5852–5867, DOI: 10.3390/rs6065852.

7. Chrysoulakis N., Grimmond S., Feigenwinter C., Lindberg F., Gastellu-Etchegorry J.-P., Marconcini M., Mitraka Z., Stagakis S., Crawford B., Olofson F., Landier L., Morrison W., and Parlow E. (2018). Urban energy exchanges monitoring from space. Scientific Reports, 8(1), p. 11498, DOI: 10.1038/s41598-018-29873-x.

8. Cox W. (2018). Demographia World Urban Areas (World Agglomerations). Wendel Cox Consultancy, Illinois (14th Annual Edition). Belleville, Illinois. URL: http://www.demographia.com/db-worldua.pdf.

9. Davies M., Steadman P., and Oreszczyn T. (2008). Strategies for the modification of the urban climate and the consequent impact on building energy use. Energy Policy, 36(12), pp. 4548–4551, DOI: 10.1016/j.enpol.2008.09.013.

10. Dee D. P., Uppala S. M., Simmons A. J., Berrisford P., Poli P., Kobayashi S., Andrae U., Balmaseda M. A., Balsamo G., Bauer P., Bechtold P., Beljaars A. C. M., van de Berg L., Bidlot J., Bormann N., Delsol C., Dragani R., Fuentes M., Geer A. J., Haimberger L., Healy S. B., Hersbach H., Holm E. V., Isaksen L., Kållberg P., Köhler M., Matricardi M., Mcnally A. P., Monge-Sanz B. M., Morcrette J. J., Park B. K., Peubey C., de Rosnay P., Tavolato C., Thepaut J. N., and Vitart F. (2011). The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137(656), pp. 553–597, DOI: 10.1002/qj.828.

11. Doms G., Förstner J., Heise E., Herzog H.-J., Mironov D., Raschendorfer M., Reinhardt T., Ritter B., Schrodin R., Schulz J.-P., and Vogel G. (2011). A description of the nonhydrostatic regional COSMO model. Part II: Physical parameterization. Deutscher Wetterdienst.

12. Dousset B., Gourmelon F., Laaidi K., Zeghnoun A., Giraudet E., Bretin P., Mauri E., and Vandentorren S. (2011). Satellite monitoring of summer heat waves in the Paris metropolitan area. International Journal of Climatology, 31(2), pp. 313–323, DOI: 10.1002/joc.2222.

13. Droste A. M., Steeneveld G. J., and Holtslag A. A. M. (2018). Introducing the urban wind island effect. Environmental Research Letters, 13(9), p. 94007. DOI: 10.1088/1748-9326/aad8ef.

14. Emelina S. V., Konstantinov P. I., Malinina E. P., and Rubinshtein K. G. (2014). Evaluation of the informativeness of several biometeorological indices for three areas of the European part of Russia. Russian Meteorology and Hydrology, 39(7), pp. 448–457, DOI: 10.3103/S1068373914070036.

15. Esau I. and Miles V. (2016). Warmer urban climates for development of green spaces in northern Siberian cities. Geography, Environment, Sustainability, 9(4), pp. 48–62, DOI: 10.24057/2071-9388-2016-9-4-48-62.

16. Flanner M. G. (2009). Integrating anthropogenic heat flux with global climate models. Geophysical Research Letters, 36(2), L02801, DOI: 10.1029/2008GL036465.

17. GCOS (2010). Implementation plan for the global observing system for climate in support of the UNFCCC (2010 update). GCOS Rep. 138, 186 pp. URL: https://library.wmo.int/doc_num.php?explnum_id=3851.

18. Gornyy V. I., Lyalko V. I., Kritsuk S. G., Latypov I. S., Tronin A. A., Filippovich V. E., Stankevich S. A., Brovkina O. V., Kiselev A. V., Davidan T. A., Lubsky N. S., and Krylova A. B. (2016). Forecast of Saint-Petersburg and Kiev thermal replies on climate change (on the basis of EOS and Landsat satellite imagery). Current Problems in Remote Sensing of the Earth from Space, 13(2), pp. 176–191, DOI: 10.21046/2070-7401-2016-13-2-176-191. (in Russian with English summary).

19. Grishchenko M. Y. and Ermilova Y. V. (2018). Mapping of the built-up areas of Russian Arctic biggest cities using satellite imagery of various spatial resolution. Geodesy and Cartography, 933(3), pp. 23–34, DOI: 10.22389/0016-7126-2018-933-3-23-34. (in Russian with English summary).

20. Grishchenko M. Y. (2012). ETM+ thermal infrared imagery application for Moscow urban heat island study. Current Problems in Remote Sensing of the Earth from Space, 9(4), pp. 95–101. (in Russian with English summary).

21. Ho H. C., Knudby A., Xu Y., Hodul M., and Aminipouri M. (2016). A comparison of urban heat islands mapped using skin temperature, air temperature, and apparent temperature (Humidex), for the greater Vancouver area. Science of The Total Environment, 544, pp. 929–938, DOI: 10.1016/j.scitotenv.2015.12.021.

22. Hu L., Brunsell N.A., Monaghan A.J., Barlage M., and Wilhelmi O.V. (2014). How can we use MODIS land surface temperature to validate long-term urban model simulations? Journal of Geophysical Research Atmospheres, 119(6), pp. 3185–3201, DOI: 10.1002/2013JD021101.

23. Kislov A.V., ed. (2017). Climate of Moscow in conditions of global warming. Moscow, Russia: Publishing house of Moscow University. 288 pp. (in Russian).

24. Krayenhoff E. S., Moustaoui M., Broadbent A. M., Gupta V., and Georgescu M. (2018). Diurnal interaction between urban expansion, climate change and adaptation in US cities. Nature Climate Change, 8(12), pp. 1097–1103, DOI: 10.1038/s41558-018-0320-9.

25. Konstantinov P. I., Grishchenko M. Y., and Varentsov M. I. (2015). Mapping urban heat islands of arctic cities using combined data on field measurements and satellite images based on the example of the city of Apatity (Murmansk Oblast). Izvestiya -Atmospheric and Ocean Physics, 51(9), pp. 992–998, DOI: 10.1134/S000143381509011X.

26. Konstantinov P., Varentsov M., and Esau I. (2018). A high density urban temperature network deployed in several cities of Eurasian Arctic. Environmental Research Letters, 13(7), p. 75007, DOI: 10.1088/1748-9326/aacb84.

27. Lemonsu A. and Masson V. (2002). Simulation of a summer urban breeze over Paris. Boundary-Layer Meteorology, 104(3), pp. 463–490, DOI: 10.1023/A:1016509614936.

28. Lokoshchenko M. A. (2014). Urban “heat island” in Moscow. Urban Climate, 10, Part 3, pp. 550–562, DOI: 10.1016/j.uclim.2014.01.008.

29. Mariani L., Parisi S. G., Cola G., Lafortezza R., Colangelo G., and Sanesi G. (2016). Climatological analysis of the mitigating effect of vegetation on the urban heat island of Milan, Italy. Science of the Total Environment, 569–570, pp. 762–773, DOI: 10.1016/j.scitotenv.2016.06.111.

30. Martilli A., Clappier A., and Rotach M. W. (2002). An urban surface exchange parameterization for mesoscale models. Boundary-Layer Meteorology, 104, pp. 261–304, DOI: 10.1023/A:1016099921195.

31. Masson V. (2000). A physically based scheme for the urban energy budget in atmospheric models. Boundary Layer Meteorology, 94(3), pp. 357–397, DOI: 10.1023/A:1002463829265.

32. Miles V. and Esau I. (2017). Seasonal and Spatial Characteristics of Urban Heat Islands (UHIs) in Northern West Siberian Cities. Remote Sensing, 9(10), p. 989, DOI: 10.3390/rs9100989.

33. Muller C.L., Chapman L., Grimmond C.S.B., Young D.T., and Cai X. (2013). Sensors and the city: A review of urban meteorological networks. International Journal of Climatology, 33(7), pp. 1585–1600, DOI: 10.1002/joc.3678.

34. Oke T.R. (1982). The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108(455), pp. 1–24, DOI: 10.1002/qj.49710845502.

35. Oke T. R. (1987). Boundary layer climates (2nd ed.). Routledge. 435 pp.

36. Peng S., Piao S., Ciais P., Friedlingstein P., Ottle C., Bréon F.-M., Nan H., Zhou L., and Myneni R.B. (2012). Surface Urban Heat Island Across 419 Global Big Cities. Environmental Science and Technology, 46(2), pp. 696−703, DOI: 10.1021/es301245j.

37. Peterson T.C. (2003). Assessment of Urban Versus Rural In Situ Surface Temperatures in the Contiguous United States: No Difference Found. Journal of Climate, 16(18), pp. 2941–2959, DOI: 10.1175/1520-0442(2003)016<2941:AOUVRI>2.0.CO;2.

38. Rockel B., Will A., and Hense A. (2008). The regional climate model COSMO-CLM (CCLM). Meteorologische Zeitschrift, 17(4), pp. 347–348, DOI: 10.1127/0941-2948/2008/0309.

39. Ryu Y.-H., and Baik J.-J. (2012). Quantitative Analysis of Factors Contributing to Urban Heat Island Intensity. Journal of Applied Meteorology and Climatology, 51(5), pp. 842–854, DOI: 10.1175/JAMC-D-11-098.1.

40. Samsonov T.E., Konstantinov P.I., and Varentsov M.I. (2015). Object-oriented approach to urban canyon analysis and its applications in meteorological modeling. Urban Climate, 13, pp. 122–139, DOI: 10.1016/j.uclim.2015.07.007.

41. Samsonov T.E. and Trigub K. S. (2018). Mapping of local climate zones of Moscow city. Geodesy and Cartography, 936(6), pp. 4–25, DOI: 10.22389/0016-7126-2018-936-6-14-25 (in Russian with English summary).

42. Shen H., Huang L., Zhang L., Wu P., and Zeng C. (2016). Long-term and fine-scale satellite monitoring of the urban heat island effect by the fusion of multi-temporal and multi-sensor remote sensed data: A 26-year case study of the city of Wuhan in China. Remote Sensing of Environment, 172, 109–125, DOI: 10.1016/j.rse.2015.11.005.

43. Sheng L., Tang X., You H., Gu Q., and Hu H. (2017). Comparison of the urban heat island intensity quantified by using air temperature and Landsat land surface temperature in Hangzhou, China. Ecological Indicators, 72, pp. 738–746, DOI: 10.1016/j.ecolind.2016.09.009.

44. Sobrino J.A., Oltra-Carrió R., Sòria G., Bianchi R., and Paganini M. (2012). Impact of spatial resolution and satellite overpass time on evaluation of the surface urban heat island effects. Remote Sensing of Environment, 117, pp. 50–56, DOI: 10.1016/j.rse.2011.04.042.

45. Stewart I. D. and Kennedy C. A. (2017). Metabolic heat production by human and animal populations in cities. International Journal of Biometeorology, 61(7), pp. 1159–1171, DOI: 10.1007/s00484-016-1296-7.

46. Stewart I.D. and Oke T.R. (2012). Local climate zones for urban temperature studies. Bulletin of the American Meteorological Society, 93(12), pp. 1879–1900. DOI: 10.1175/BAMS-D-11-00019.1.

47. Sun H., Chen Y., and Zhan W. (2015). Comparing surface-and canopy-layer urban heat islands over Beijing using MODIS data. International Journal of Remote Sensing, 36(21), pp. 5448–5465, DOI: 10.1080/01431161.2015.1101504.

48. Tan J., Zheng Y., Tang X., Guo C., Li L., Song G., Zhen X., Yuan D., Kalkstein A. J., Li F., and Chen H. (2010a). The urban heat island and its impact on heat waves and human health in Shanghai. International Journal of Biometeorology, 54(1), pp. 75–84, DOI: 10.1007/s00484-009-0256-x

49. Tan K.C., Lim H.S., MatJafri M.Z., and Abdullah K. (2010b). Landsat data to evaluate urban expansion and determine land use/land cover changes in Penang Island, Malaysia. Environmental Earth Sciences, 60(7), pp. 1509–1521, DOI: 10.1007/s12665-009-0286-z.

50. Varentsov M.I., Samsonov T.E., Kislov A.V., and Konstantinov P.I. (2017a). Simulations of Moscow agglomeration heat island within framework of regional climate model COSMO-CLM. Moscow University Vestnik. Series 5. Geography, 6, pp. 25-37 (in Russia with English summary).

51. Varentsov M.I., Konstantinov P.I., and Samsonov T.E. (2017b). Mesoscale modelling of the summer climate response of Moscow metropolitan area to urban expansion. IOP Conference Series: Earth and Environmental Science, 96, p. 12009, DOI: 10.1088/1755-1315/96/1/012009.

52. Varentsov M., Wouters H., Platonov V., and Konstantinov P. (2018). Megacity-Induced Mesoclimatic Effects in the Lower Atmosphere: A Modeling Study for Multiple Summers over Moscow, Russia. Atmosphere, 9(2), p. 50, DOI: 10.3390/atmos9020050.

53. Vil’fand R. M., Rivin G.S., and Rozinkina I.A. (2010). COSMO-RU system of nonhydrostatic mesoscale short-range weather forecast of the hydrometcenter of Russia: The first stage of realization and development. Russian Meteorology and Hydrology, 35(8), pp. 503–514, DOI: 10.3103/S1068373910080017.

54. Voogt J. and Oke T.R. (2003). Thermal remote sensing of urban climates. Remote Sensing of Environment, 86(3), pp. 370–384, DOI: 10.1016/S0034-4257(03)00079-8.

55. Weng Q. and Lu D. (2008). A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States. International Journal of Applied Earth Observation and Geoinformation, 10(1), pp. 68–83, DOI: 10.1016/j.jag.2007.05.002.

56. Wouters H., De Ridder K., Demuzere M., Lauwaet D., and Van Lipzig N. P. M. (2013). The diurnal evolution of the urban heat island of Paris: A model-based case study during Summer 2006. Atmospheric Chemistry and Physics, 13(17), pp. 8525–8541. DOI: 10.5194/acp-13-8525-2013.

57. Wouters H., De Ridder K., Poelmans L., Willems P., Brouwers J., Hosseinzadehtalaei P., Tabari H., Vanden Broucke S., van Lipzig N. P. M., and Demuzere M. (2017). Heat stress increase under climate change twice as large in cities as in rural areas: A study for a densely populated midlatitude maritime region. Geophysical Research Letters, 44(17), pp. 8997–9007. DOI: 10.1002/2017GL074889.

58. Wouters H., Demuzere M., Blahak U., Fortuniak K., Maiheu B., Camps J., Tielemans D., and van Lipzig N. P. M. (2016). The efficient urban canopy dependency parametrization (SURY) v1.0 for atmospheric modelling: description and application with the COSMO-CLM model for a Belgian summer. Geoscientific Model Development, 9(9), pp. 3027–3054, DOI: 10.5194/gmd-9-3027-2016.

59. Wouters H., Petrova I.Y., van Heerwaarden C.C., Vilà-Guerau de Arellano J., Teuling A.J., Meulenberg V., Santanello J. A., and Miralles D.G. (2019). Atmospheric boundary layer dynamics from balloon soundings worldwide: CLASS4GL v1.0. "Geoscientific Model Development, 12 (12), pp. 2139-2153, DOI: 10.5194/gmd-12-2139-2019"

60. Yang Y.Z., Cai W.H., and Yang J. (2017). Evaluation of MODIS land surface temperature data to estimate near-surface air temperature in Northeast China. Remote Sensing, 9(5), p. 410, DOI: 10.3390/rs9050410.

61. Zhou B., Rybski D., and Kropp J.P. (2013). On the statistics of urban heat island intensity. Geophysical Research Letters, 40(20), pp. 5486–5491, DOI: 10.1002/2013GL057320.

62. Zhou B., Rybski D., and Kropp J. P. (2017). The role of city size and urban form in the surface urban heat island. Scientific Reports, 7(1), p. 4791, DOI: 10.1038/s41598-017-04242-2.

63. Zhou D., Xiao J., Bonafoni S., Berger C., Deilami K., Zhou Y., Frolking S., Yao R., Qiao Z., and Sobrino J. (2018). Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives. Remote Sensing, 11(1), p. 48, DOI: 10.3390/rs11010048.

64. Zhou D., Zhao S., Zhang L., Sun G., and Liu Y. (2015). The footprint of urban heat island effect in China. Scientific Reports, 5, pp. 2–12, DOI: 10.1038/srep11160.


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Varentsov M.I., Grishchenko M.Y., Wouters H. Simultaneous assessment of the summer urban heat island in Moscow megacity based on in situ observations, thermal satellite images and mesoscale modeling. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2019;12(4):74-95. https://doi.org/10.24057/2071-9388-2019-10

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