In the last decades, the increasing number of populations in urban areas is dramatically increased. According to the to the 2018 Revision of World Urbanization Prospects more people live in urban areas, around 55 percent of the world’s population in 2018 and are projected into two thirds of global population in 2050. As the world continues to growth, the lands need to be converted thus deforestation happen. If this continues, the greenhouse gas emission will increase and the climate change will become a threat in the future. Therefore, it become essential to understand how the climate will change in the future through model scenario. The study will asses from three aspects of climate, namely, precipitation, near surface air temperature and maximum wind speed in Prague City, the city that was heavily populated and one of popular destinations for tourism. The objectives were to analyse the future climate based on these three aspects and predict what future hazard which might come n the upcoming years. The outcome can be a basis for early-warning system in urban areas. The methods were employed by using Recipient Concentration Pathways (RCP) scenario of 4.5 as stabilization scenario and 8.5 as pessimistic scenario in Regional Model RCA4. The study found that in several years until 2060, Prague will face more urban flooding based on the model scenario RCP 8.5.


Adedeji, O. Reuben O, and Olatoye, O. (2014). Global Climate Change. Journal of Geoscience and Environment Protection, 2, 114-122. http://dx.doi.org/10.4236/gep.2014.22016

Granier C, Bessagnet B, Bond T, D’Angiola A, van der Gon HG, Frost G, Heil A, Kainuma M, Kaiser J, and Kinne S (2011) Evolution of anthropogenic and biomass burning emissions at global and regional scales during the 1980–2010 period. Climatic Change. doi: 10.1007/s10584-011-0154-1.

Gherraz, H., Guechi, I., And Alkama, D. (2020). Quantifying the effects of spatial patterns of green spaces on urban climate and urban heat island in a semi-arid climate. Bulletin de la Société Royale des Sciences de Liège, Vol. 89, articles, 2020, p. 164 – 185.

IPPC. (2013). IPCC Fifth Assessment Report. Climate Change 2013: The Physical Science Basis. Summary for Policymakers.

Natayu, A., Kamila, F., Dananjaya, I., Reflin, R., and Fikri, M. (2021). Understanding the Climate Behavior Through Data Interpretation: Java-Bali-Nusa Tenggara Case. Indonesian Journal of Computing, Engineering and Design (IJoCED), 130–145. https://doi.org/10.35806/ijoced.v3i2.184

Kassai, J. R., Feltran-Barbieri, R., Carvalho, L. N., Cintra, Y. C., Afonso, L. E., and Foschine, A. (2012). The Environmental balance sheet of nations: Reflections on global climate change scenarios. Brazilian Business Review, 9(1), 60–102. https://doi.org/10.15728/bbr.2012.9.1.4

Lamarque JF, Page Kyle G, Meinshausen M, Riahi K, Smith S, van Vuuren DP, Conley AJ, and Vitt F (2011). Global and regional evolution of short-lived radiatively-active gases and aerosols in the Representative Concentration Pathways. Climatic change. doi: 10.1007/s10584-011-0155-0.

Masui T, Matsumoto K, Hijioka Y, Kinoshita T, Nozawa T, Ishiwatari S, Kato E, Shukla PR, Yamagata Y, and Kainuma M (2011). An emission pathway to stabilize at 6 W/m2 of radiative forcing. Climatic Change. doi: 10.1007/s10584-011-0150-5

Matawal, D. S. and Maton, D. J. (2013). Climate Change and Global Warming: Signs, Impact and Solutions. International Journal of Environmental Science and Development, 4(1), 62–66. https://doi.org/10.7763/IJESD.2013.V4.305

Meinshausen M, Smith SJ, Calvin K, Daniel JS, Kainuma MLT, Lamarque J-F, Matsumoto K, Montzka SA, Raper S, and Riahi K (2011) The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic Change. doi: 10.1007/s10584-011-0156-z

Moss et.al. 2010. The next generation of scenarios for climate change research and assessment. Nature, doi:10.1038/nature08823

Naughton, J. (2019). Evaluating Variability of Urban Land Surface Temperatures Using Drone Observations. Master's Theses. Marquette University, United States. 552. https://epublications.marquette.edu/theses_open/552

Riahi K, Krey V, Rao S, Chirkov V, Fischer G, Kolp P, Kindermann G, Nakicenovic N, Rafai P (2011). RCP-8.5: exploring the consequence of high emission trajectories Climatic Change. doi: 10.1007/s10584-011-0149-y

Rogelj, J., Meinshausen, M., and Knutti, R. (2012). Global warming under old and new scenarios using IPCC climate sensitivity range estimates. Nature Climate Change, 2(4), 248–253. https://doi.org/10.1038/nclimate1385

Thomson, A.M., Calvin, K.V., and Smith, S.J. (2011). RCP4.5: a pathway for stabilization of radiative forcing by 2100. Climatic Change 109, 77. (https://doi.org/10.1007/s10584-011-0151-4

Unger, J., G, Tamás, Rakonczai, J., Mucsi, L., Szatmári, J., Tobak, Z., Leeuwen, B. V. Fiala, K. (2009). Air Temperature Versus Surface Temperature in Urban Environment. The seventh International Conference on Urban Climate, 29 June - 3 July 2009, Yokohama, Japan.

United Nations. (2019). World Urbanization Prospects: The 2018 Revision. New York, United Nations. Retrieved from https://population.un.org/wup/Publications/Files/WUP2018- Report.pdf.

Van Vuuren, D.P., Edmonds, and J., Kainuma, (2011). The representative concentration pathways: an overview. Climatic Change 109, 5. https://doi.org/10.1007/s10584-011-0148-z

Wayne, G.P. (2013). The Beginner’s Guide to Representative Concentration Pathways, Version 1.0 August 2013.