Using urban climate modelling and improved land use classifications to support climate change adaptation in urban environments: A case study for the city of Klagenfurt, Austria

16286 8 89400 2 257206 document 89400 1-s2.0-S2212095519302846-main.pdf application/pdf 1d9faecea4b0d49be81a57dae005c4c7 MD5 4979718 2020-02-03 06:42:23 https://pure.iiasa.ac.at/id/eprint/16286/1/1-s2.0-S2212095519302846-main.pdf 16286 1 1 application/pdf text en public cc_by_nc_nd_4

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published 89411 1 257222 document 89411 indexcodes.txt text/x-c++ fc63a3992619ddfb184ab99f10764674 MD5 14818 2020-02-03 06:52:22 https://pure.iiasa.ac.at/id/eprint/16286/2/indexcodes.txt 16286 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/89400 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/89400 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/89400 archive 353 disk0/00/01/62/86 2020-02-03 06:44:23 2021-08-27 17:32:36 2020-02-03 06:44:23 article show Oswald S.M. Hollosi B. Žuvela-Aloise M. See L. 8571 0000-0002-2665-7065 Guggenberger S. Hafner W. Prokop G. Storch A. Schieder W. Using urban climate modelling and improved land use classifications to support climate change adaptation in urban environments: A case study for the city of Klagenfurt, Austria pub prog_esm Urban Heat Island; Climate adaptation measures; MUKLIMO_3; Green roofs This study outlines the results of current and future climate scenarios, and potentially realizable climate adaptation measures, for the city of Klagenfurt, Austria. For this purpose, we used the microscale urban climate model (MUKLIMO_3), in conjunction with the cuboid method, to calculate climate indices such as the average number of summer and hot days per year. For the baseline simulation, we used meteorological measurements from 1981 to 2010 from the weather station located at Klagenfurt Airport. Individual building structures and canopy cover from several land monitoring services were used to derive accurate properties for land use classes in the study domain. To characterize the effectiveness of climate adaptation strategies, we compared changes in the climate indices for several (future) climate adaptation scenarios to the reference simulation. Specifically, we considered two major adaptation pathways: (i) an increase in the albedo values of sealed areas (i.e., roofs, walls and streets) and (ii) an increase in green surfaces (i.e., lawns on streets and at roof level) and high vegetated areas (i.e., trees). The results indicate that some climate adaptation measures show higher potential in mitigating hot days than others, varying between reductions of 2.3 to 11.0%. An overall combination of adaptation measures leads to a maximum reduction of up to 44.0%, indicating a clear potential for reduction/mitigation of urban heat loads. Furthermore, the results for the future scenarios reveal the possibility to remain at the current level of urban heat load during the daytime over the next three decades for the overall combination of measures. 2020-03 published Elsevier 10.1016/j.uclim.2020.100582 276 public Urban Climate 31 e100582 TRUE 2212-0955 FALSE no info:eu-repo/semantics/article