@article{MTMT:34561168, title = {Modeling urban air temperature using satellite-derived surface temperature, meteorological data, and local climate zone pattern—a case study in Szeged, Hungary}, url = {https://m2.mtmt.hu/api/publication/34561168}, author = {Guo, Yuchen and Unger, János and Khabibolla, Almaskhan and Tian, Guohang and He, Ruizhen and Li, Huawei and Gál, Tamás Mátyás}, doi = {10.1007/s00704-024-04852-7}, journal-iso = {THEORET APPL CLIMAT}, journal = {THEORETICAL AND APPLIED CLIMATOLOGY}, unique-id = {34561168}, issn = {0177-798X}, abstract = {Urban air temperature is a crucial variable for many urban issues. However, the availability of urban air temperature is often limited due to the deficiency of meteorological stations, especially in urban areas with heterogeneous land cover. Many studies have developed different methods to estimate urban air temperature. However, meteorological variables and local climate zone (LCZ) have been less used in this topic. Our study developed a new method to estimate urban air temperature in canopy layer during clear sky days by integrating land surface temperature (LST) from MODIS, meteorological variables based on reanalysis data, and LCZ data in Szeged, Hungary. Random forest algorithms were used for developing the estimation model. We focused on four seasons and distinguished between daytime and nighttime situations. The cross-validation results showed that our method can effectively estimate urban air temperature, with average daytime and nighttime root mean square error (RMSE) of 0.5 ℃ ( R 2 = 0.99) and 0.9 ℃ ( R 2 = 0.95), respectively. The results based on a test dataset from 2018 to 2019 indicated that the optimal model selected by cross-validation had the best performance in summer, with time-synchronous RMSE of 2.1 ℃ ( R 2 = 0.6, daytime) and 2.2 ℃ ( R 2 = 0.86, nighttime) and seasonal mean RMSE of 1.5 ℃ ( R 2 = 0.34, daytime) and 1.2 ℃ ( R 2 = 0.74, nighttime). In addition, we found that LCZ was more important at night, while meteorological data contributed more to the model during the daytime, which revealed the temporal mechanisms of the effect of these two variables on air temperature estimation. Our study provides a novel and reliable method and tool to explore the urban thermal environment for urban researchers.}, year = {2024}, eissn = {1434-4483}, orcid-numbers = {Unger, János/0000-0002-0637-0091; Gál, Tamás Mátyás/0000-0002-1761-3239} } @inbook{MTMT:34524930, title = {Hőhullámos és normál nyári időszakok hőkomfort viszonyainak regionális és városi léptékű összehasonlítása}, url = {https://m2.mtmt.hu/api/publication/34524930}, author = {Unger, János and Skarbit, Nóra and Gál, Tamás Mátyás}, booktitle = {Tanulmánykötet Prof. Dr. Mika János születésének 70. évfordulója alkalmából}, unique-id = {34524930}, year = {2023}, pages = {355-368}, orcid-numbers = {Unger, János/0000-0002-0637-0091; Skarbit, Nóra/0000-0002-6894-4310; Gál, Tamás Mátyás/0000-0002-1761-3239} } @mastersthesis{MTMT:34197922, title = {A lokális klímazónák városklimatológiai alkalmazása}, url = {https://m2.mtmt.hu/api/publication/34197922}, author = {Gál, Tamás Mátyás}, publisher = {Universití of Szeged}, unique-id = {34197922}, year = {2023}, orcid-numbers = {Gál, Tamás Mátyás/0000-0002-1761-3239} } @{MTMT:34163103, title = {Potential risks related to heat load, energy demand and water balance based on EURO-CORDEX climate projections in the broader Carpathian region}, url = {https://m2.mtmt.hu/api/publication/34163103}, author = {Skarbit, Nóra and Unger, János and Gál, Tamás Mátyás}, booktitle = {Natural Hazards and Climate Change - conference and workshop for identifying and tackling challenges together}, unique-id = {34163103}, year = {2023}, pages = {45}, orcid-numbers = {Skarbit, Nóra/0000-0002-6894-4310; Unger, János/0000-0002-0637-0091; Gál, Tamás Mátyás/0000-0002-1761-3239} } @article{MTMT:33883696, title = {Finding the Green Grass in the Haystack? Integrated National Assessment of Ecosystem Services and Condition in Hungary, in Support of Conservation and Planning}, url = {https://m2.mtmt.hu/api/publication/33883696}, author = {Tanács, Eszter and Vári, Ágnes and Bede-Fazekas, Ákos and Báldi, András and Csákvári, Edina and Endrédi, Anett and Fabók, Veronika and Kisné Fodor, Lívia and Kiss, Márton and Koncz, Péter and Kovács-Hostyánszki, Anikó and Mészáros, János and Pásztor, László and Rezneki, Rita and Standovár, Tibor and Zsembery, Zita and Török, Katalin}, doi = {10.3390/su15118489}, journal-iso = {SUSTAINABILITY-BASEL}, journal = {SUSTAINABILITY}, volume = {15}, unique-id = {33883696}, abstract = {Human well-being needs healthy ecosystems, providing multiple ecosystem services. Therefore, the assessment of ecosystems on large scales is a priority action. In Hungary, this work (MAES-HU) took place between 2016 and 2022. Twelve ecosystem services (ES) were mapped and assessed along with several ecosystem condition (EC) indicators. Their integrated spatial analysis aimed to identify patterns of ES multifunctionality, reveal relationships between EC and ES and delineate ES bundles. The results show outstanding multifunctionality of natural ecosystem types compared with the more artificial types, emphasizing the importance of natural areas in order to fulfil human needs. Native forests provide the most varied range of services, which underlines the importance of forest management to consider multiple services. There is a positive correlation between condition and multifunctionality in forests; areas in better condition (in terms of species composition and structure) provide more services at an outstanding level. ES bundles mainly reflect the major ecosystem types, topography and forest condition. Our analysis represents an example of synthesizing national MAES results with a combination of methods. Finding ES hotspots on a national scale and connecting them with an assessment of EC may help in finding optimal strategies to balance conservation targets and competing land uses.}, year = {2023}, eissn = {2071-1050}, orcid-numbers = {Tanács, Eszter/0000-0003-1953-9340; Vári, Ágnes/0000-0001-5285-847X; Bede-Fazekas, Ákos/0000-0002-2905-338X; Báldi, András/0000-0001-6063-3721; Kiss, Márton/0000-0002-5621-7976; Mészáros, János/0000-0003-2604-3052; Pásztor, László/0000-0002-1605-4412; Standovár, Tibor/0000-0002-4686-3456} } @{MTMT:33728932, title = {Assessment of climate-related impacts and risks on the tourism sector}, url = {https://m2.mtmt.hu/api/publication/33728932}, author = {Kovács, Attila}, booktitle = {Natural Hazards and Climate Change - conference and workshop for identifying and tackling challenges together}, unique-id = {33728932}, year = {2023}, pages = {30-30}, orcid-numbers = {Kovács, Attila/0000-0002-4766-8898} } @{MTMT:33733135, title = {8.3.9.3. LÉGSZENNYEZÉS-MEGKÖTÉS}, url = {https://m2.mtmt.hu/api/publication/33733135}, author = {Kiss, Márton and Báthoryné, Nagy Ildikó Réka and Buzás, Kálmán and Csőszi, Mónika and Gulyás, Ágnes and Lenkei, Péter and Mészáros, Róbert and Pinke, Zsolt László}, booktitle = {Hazai ökoszisztéma-szolgáltatások térképezése és értékelése}, unique-id = {33733135}, year = {2022}, pages = {161-164}, orcid-numbers = {Kiss, Márton/0000-0002-5621-7976; Gulyás, Ágnes/0000-0002-1515-0517; Mészáros, Róbert/0000-0002-0550-9266; Pinke, Zsolt László/0000-0001-5644-7256} } @{MTMT:33733124, title = {8.3.9.2. Csapadékvíz-tározás}, url = {https://m2.mtmt.hu/api/publication/33733124}, author = {Kiss, Márton and Báthoryné, Nagy Ildikó Réka and Buzás, Kálmán and Csőszi, Mónika and Gulyás, Ágnes and Lenkei, Péter and Mészáros, Róbert and Pinke, Zsolt László}, booktitle = {Hazai ökoszisztéma-szolgáltatások térképezése és értékelése}, unique-id = {33733124}, year = {2022}, pages = {157-160}, orcid-numbers = {Kiss, Márton/0000-0002-5621-7976; Gulyás, Ágnes/0000-0002-1515-0517; Mészáros, Róbert/0000-0002-0550-9266; Pinke, Zsolt László/0000-0001-5644-7256} } @{MTMT:33733117, title = {8.3.9.1. Mikroklíma-szabályozás városi területeken}, url = {https://m2.mtmt.hu/api/publication/33733117}, author = {Kiss, Márton and Báthoryné, Nagy Ildikó Réka and Buzás, Kálmán and Csőszi, Mónika and Gulyás, Ágnes and Lenkei, Péter and Mészáros, Róbert and Pinke, Zsolt László}, booktitle = {Hazai ökoszisztéma-szolgáltatások térképezése és értékelése}, unique-id = {33733117}, year = {2022}, pages = {152-156}, orcid-numbers = {Kiss, Márton/0000-0002-5621-7976; Gulyás, Ágnes/0000-0002-1515-0517; Mészáros, Róbert/0000-0002-0550-9266; Pinke, Zsolt László/0000-0001-5644-7256} } @article{MTMT:33400808, title = {Projected values of thermal and precipitation climate indices for the broader Carpathian region based on EURO-CORDEX simulations}, url = {https://m2.mtmt.hu/api/publication/33400808}, author = {Skarbit, Nóra and Unger, János and Gál, Tamás Mátyás}, doi = {10.15201/hungeobull.71.4.2}, journal-iso = {HUNG GEOGR BULL (2009-)}, journal = {HUNGARIAN GEOGRAPHICAL BULLETIN (2009-)}, volume = {71}, unique-id = {33400808}, issn = {2064-5031}, abstract = {Since our climate is in a rapid changing phase, it is crucial to get information about the regional patterns of basic climatic parameters and indices. The EURO-CORDEX project provides high quality regional climate model outputs, but these raw datasets are not convenient for the application in wider geoscience studies. According to the authors’ knowledge, there is a lack in published spatial information about basic climate parameters and indices in Central-Europe and especially in the broader Carpathian region therefore the basic aim of this study to fill this gap. The study presents the future trends in daily air temperature and precipitation and various climatic indices in the broader Carpathian Basin region during the 21st century. The indices are calculated using multi-model average temperature and precipitation data from EURO-CORDEX model simulations for the future time periods (2021–2050, 2071–2100) and emission scenarios (RCP4.5, RCP8.5). The indices present the future trends of the heat load, energy demand as well as extreme precipitation and drought characteristics. Based on the results the temperature increase is obvious and the heat load and energy demand quantifying indices follow the temperature trend. However, the trend is difficult to evaluate in case of precipitation. The changes in the precipitation and the related indices can be considered small and appear within the regions. The future changes are the most considerable in the Carpathian Basin, but the entire examined region faces crucial changes in the following decades.}, year = {2022}, eissn = {2064-5147}, pages = {325-347}, orcid-numbers = {Skarbit, Nóra/0000-0002-6894-4310; Unger, János/0000-0002-0637-0091; Gál, Tamás Mátyás/0000-0002-1761-3239} }