@article{MTMT:34826769,
	title = {Simulation of soil temperature under maize: An inter-comparison among 33 maize models},
	url = {https://m2.mtmt.hu/api/publication/34826769},
	author = {Kimball, Bruce A. and Thorp, Kelly R. and Boote, Kenneth J. and Stockle, Claudio and Suyker, Andrew E. and Evett, Steven R. and Brauer, David K. and Coyle, Gwen G. and Copeland, Karen S. and Marek, Gary W. and Colaizzi, Paul D. and Acutis, Marco and Archontoulis, Sotirios and Babacar, Faye and Barcza, Zoltán and Basso, Bruno and Bertuzzi, Patrick and Migliorati, Massimiliano De Antoni and Dumont, Benjamin and Durand, Jean-Louis and Fodor, Nándor and Gaiser, Thomas and Gayler, Sebastian and Grant, Robert and Guan, Kaiyu and Hoogenboom, Gerrit and Jiang, Qianjing and Kim, Soo-Hyung and Kisekka, Isaya and Lizaso, Jon and Perego, Alessia and Peng, Bin and Priesack, Eckart and Qi, Zhiming and Shelia, Vakhtang and Srivastava, Amit Kumar and Timlin, Dennis and Webber, Heidi and Weber, Tobias and Williams, Karina and Viswanathan, Michelle and Zhou, Wang},
	doi = {10.1016/j.agrformet.2024.110003},
	journal-iso = {AGR FOREST METEOROL},
	journal = {AGRICULTURAL AND FOREST METEOROLOGY},
	volume = {351},
	unique-id = {34826769},
	issn = {0168-1923},
	year = {2024},
	eissn = {1873-2240},
	orcid-numbers = {Thorp, Kelly R./0000-0001-9168-875X; Evett, Steven R./0000-0003-3418-5771; Copeland, Karen S./0000-0002-2826-0280; Colaizzi, Paul D./0000-0003-4251-8724; Barcza, Zoltán/0000-0002-1278-0636; Dumont, Benjamin/0000-0001-8411-3990; Durand, Jean-Louis/0000-0003-2751-168X; Grant, Robert/0000-0002-8890-6231; Hoogenboom, Gerrit/0000-0002-1555-0537; Kim, Soo-Hyung/0000-0003-3879-4080; Kisekka, Isaya/0000-0002-2460-7777; Shelia, Vakhtang/0000-0002-9768-7958; Timlin, Dennis/0000-0003-4883-4664; Webber, Heidi/0000-0001-8301-5424; Williams, Karina/0000-0002-1185-535X}
}

@article{MTMT:34824732,
	title = {Short-term predictions of PM10 and NO2 concentrations in urban environments based on ARIMA search grid modeling},
	url = {https://m2.mtmt.hu/api/publication/34824732},
	author = {Bouzghiba, Houria and Mendyl, Abderrahmane and Kenza, Khomsi and Gabor, Geczi},
	doi = {10.1002/clen.202300395},
	journal-iso = {CLEAN-SOIL AIR WATER},
	journal = {CLEAN-SOIL AIR WATER},
	unique-id = {34824732},
	issn = {1863-0650},
	abstract = {Air pollution poses a persistent challenge for urban management departments and policymakers due to its significant health and economic impacts. Various cities worldwide have implemented diverse strategies and initiatives to enhance air quality monitoring and modeling standards. However, the outcomes of these efforts often manifest over the long term, leading to a preference for short-term statistical methods. The autoregressive integrated moving average (ARIMA) search grid modeling approach has gained widespread use for forecasting air quality. This paper presents a comprehensive time series analysis conducted to predict air quality in urban areas of Budapest, Hungary, with a focus on nitrogen dioxide (NO2) and particulate matter (PM10), using air quality data spanning from 2018 to 2022 for four monitoring categories: Urban traffic, industrial background, urban background, and suburban background. The study employs the ARIMA search grid method to forecast concentrations of these pollutants at multiple air quality monitoring stations based on Akaike information criteria (AIC) and the Bayesian information criteria (BIC) criteria along with the results of augmented Dickey-Fuller (ADF) test. The results demonstrate varying levels of forecast accuracy across different stations, indicating the model's effectiveness in short-term predicting of air quality. These findings are essential for assessing the reliability of air quality forecasts in Budapest and can inform decisions regarding air quality management and the development of strategies to address air pollution and particulate matter concerns in the region.},
	keywords = {particulate matter; air pollution; Environmental Sciences; GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY; Marine & Freshwater Biology; Short-term prediction; ARIMA search grid},
	year = {2024},
	eissn = {1863-0669}
}

@misc{MTMT:34802986,
	title = {Bicycle-based aerosol measurements in the inner city of Budapest},
	url = {https://m2.mtmt.hu/api/publication/34802986},
	author = {Tordai, Ágoston Vilmos and Mészáros, Róbert},
	doi = {10.5194/egusphere-egu24-12180},
	unique-id = {34802986},
	abstract = {Atmospheric aerosol pollution in densely populated urban areas is a pressing concern. Complex building patterns, local circulation systems and widely varying sources of pollution make traditional aerosol measurements insufficient. However, using portable OPCs and low-cost, fixed and mobile sensors enables researchers to obtain high spatial and temporal resolution air quality data in urban areas.
		
		In recent years, the popularity of cycling and other forms of public transport has increased in Budapest, the capital city of Hungary, raising concerns about individual aerosol exposure and its health effects. In our study, calibrated instruments mounted on bicycles are used to assess aerosol pollution along some of the most important bicycle routes in Budapest. The objectives of this project are to create a quality-assured reference database for further research (e.g. human health-related calculations), to identify trends and hotspots of air pollution, to develop a measurement methodology for mobile measurements by low-cost instruments, and to develop a relevant metadata structure.
		
		Two DustTrak™ II Aerosol Monitor 8532 instruments equipped with physical impactors were used to measure PM10 and PM2.5 in parallel. Air temperature and relative humidity were recorded using a Testo 635-2 datalogger with additional sensor shielding; both were sampled at 2-second resolution and averaged over 10 seconds. Detailed GPS data was recorded using a mobile phone application at a 1-second resolution. About 150 measurement datasets were recorded on pre-selected routes. The data is processed using a primarily automated algorithm written in Matlab. In order to allow comparison of individual routes and further statistical calculations, the data is projected onto a domain of 0.2° × 0.2° covered by a regular geographic grid with 200 grid cells in each direction (one grid cell measuring approximately 110 × 110 meters).
		
		This study outlines the measurement setup, the gridded dataset and demonstrates the applicability of our database through case studies. The ratio of PM2.5/PM10 and its spatial and temporal patterns are assessed using the entire dataset and in selected situations. Additionally, the percentage deviation of each PM fraction from the median for an entire measurement route and the spatial distribution of the deviations are presented.
		
		The research was funded by the National Multidisciplinary Laboratory for Climate Change, RRF-2.3.1-21-2022-00014 project.},
	year = {2024},
	orcid-numbers = {Tordai, Ágoston Vilmos/0000-0002-8617-0531; Mészáros, Róbert/0000-0002-0550-9266}
}

@misc{MTMT:34794904,
	title = {A légköri változók szerepe a fehér akác nektárszekréciójában},
	url = {https://m2.mtmt.hu/api/publication/34794904},
	author = {Vincze, Csilla and Zajácz, Edit and Leelőssy, Ádám and Mészáros, Róbert},
	unique-id = {34794904},
	year = {2024},
	orcid-numbers = {Vincze, Csilla/0000-0002-6658-0090; Leelőssy, Ádám/0000-0001-9583-0127; Mészáros, Róbert/0000-0002-0550-9266}
}

@article{MTMT:34783008,
	title = {Surface urban heat island in Budapest during heat waves and droughts - comparing the summers of 2003, 2007 and 2022},
	url = {https://m2.mtmt.hu/api/publication/34783008},
	author = {Soósné Dezső, Zsuzsanna and Pongrácz, Rita and Bartholy, Judit},
	doi = {10.1016/j.uclim.2024.101899},
	journal-iso = {URBAN CLIM},
	journal = {URBAN CLIMATE},
	volume = {55},
	unique-id = {34783008},
	issn = {2212-0955},
	year = {2024},
	eissn = {2212-0955},
	pages = {101899},
	orcid-numbers = {Soósné Dezső, Zsuzsanna/0000-0003-1325-1303; Pongrácz, Rita/0000-0001-7591-7989; Bartholy, Judit/0000-0002-3911-7981}
}

@misc{MTMT:34782105,
	title = {A légköri változók szerepe a fehér akác nektárszekréciójában},
	url = {https://m2.mtmt.hu/api/publication/34782105},
	author = {Vincze, Csilla and Zajácz, Edit and Leelőssy, Ádám and Mészáros, Róbert},
	unique-id = {34782105},
	year = {2024},
	orcid-numbers = {Vincze, Csilla/0000-0002-6658-0090; Leelőssy, Ádám/0000-0001-9583-0127; Mészáros, Róbert/0000-0002-0550-9266}
}

@CONFERENCE{MTMT:34762086,
	title = {Meteorological and Soil Moisture Measurements in Mount Kenya Region at Various Scales},
	url = {https://m2.mtmt.hu/api/publication/34762086},
	author = {Musyimi, Peter Kinyae and Székely, Balázs and Hellen, W. Kamiri and Tom, Ouna and Weidinger, Tamás},
	booktitle = {EGU General Assembly 2024 : abstracts},
	doi = {10.5194/egusphere-egu24-579},
	unique-id = {34762086},
	year = {2024},
	orcid-numbers = {Székely, Balázs/0000-0002-6552-4329; Weidinger, Tamás/0000-0001-7500-6579}
}

@article{MTMT:34734650,
	title = {Seasonal trends in the Early Twentieth Century Warming (ETCW) in a centennial instrumental temperature record from Central Europe},
	url = {https://m2.mtmt.hu/api/publication/34734650},
	author = {Jakuschné Kocsis, Tímea and Pongrácz, Rita and Hatvani, István Gábor and Magyar, Norbert and Anda, Angéla and Kovácsné Székely, Ilona},
	doi = {10.15201/hungeobull.73.1.1},
	journal-iso = {HUNG GEOGR BULL (2009-)},
	journal = {HUNGARIAN GEOGRAPHICAL BULLETIN (2009-)},
	volume = {73},
	unique-id = {34734650},
	issn = {2064-5031},
	keywords = {time series analysis; Change-point detection; Early Twentieth Century Warming; temperature records},
	year = {2024},
	eissn = {2064-5147},
	pages = {3-16},
	orcid-numbers = {Jakuschné Kocsis, Tímea/0000-0003-3430-5569; Pongrácz, Rita/0000-0001-7591-7989; Hatvani, István Gábor/0000-0002-9262-7315}
}

@article{MTMT:34734182,
	title = {Combined use of HYSPLIT model and MODIS aerosols optical depth to study the spatiotemporal circulation patterns of Saharan dust events over Central Europe},
	url = {https://m2.mtmt.hu/api/publication/34734182},
	author = {Gammoudi, Nadia and Kovács, János and Gresina, Fruzsina and Varga, György},
	doi = {10.1016/j.aeolia.2024.100899},
	journal-iso = {AEOLIAN RES},
	journal = {AEOLIAN RESEARCH},
	volume = {67-69},
	unique-id = {34734182},
	issn = {1875-9637},
	year = {2024},
	eissn = {2212-1684},
	orcid-numbers = {Kovács, János/0000-0001-7742-5515; Varga, György/0000-0003-4784-6372}
}

@article{MTMT:34680880,
	title = {Inter-annual trends of ultrafine particles in urban Europe},
	url = {https://m2.mtmt.hu/api/publication/34680880},
	author = {Garcia-Marlès, Meritxell and Lara, Rosa and Reche, Cristina and Pérez, Noemí and Tobías, Aurelio and Savadkoohi, Marjan and Beddows, David and Salma, Imre and Vörösmarty, Máté and Weidinger, Tamás and Hueglin, Christoph and Mihalopoulos, Nikos and Grivas, Georgios and Kalkavouras, Panayiotis and Ondracek, Jakub and Zikova, Nadezda and Niemi, Jarkko V. and Manninen, Hanna E. and Green, David C. and Tremper, Anja H. and Norman, Michael and Vratolis, Stergios and Eleftheriadis, Konstantinos and Gómez-Moreno, Francisco J. and Alonso-Blanco, Elisabeth and Wiedensohler, Alfred and Weinhold, Kay and Merkel, Maik and Bastian, Susanne and Hoffmann, Barbara and Altug, Hicran and Petit, Jean-Eudes and Favez, Olivier and Santos, Sebastiao Martins Dos and Putaud, Jean-Philippe and Dinoi, Adelaide and Contini, Daniele and Timonen, Hilkka and Lampilahti, Janne and Petäjä, Tuukka and Pandolfi, Marco and Hopke, Philip K. and Harrison, Roy M. and Alastuey, Andrés and Querol, Xavier},
	doi = {10.1016/j.envint.2024.108510},
	journal-iso = {ENVIRON INT},
	journal = {ENVIRONMENT INTERNATIONAL},
	volume = {185},
	unique-id = {34680880},
	issn = {0160-4120},
	year = {2024},
	eissn = {1873-6750},
	orcid-numbers = {Garcia-Marlès, Meritxell/0000-0003-2680-5627; Lara, Rosa/0000-0003-2667-5973; Savadkoohi, Marjan/0000-0002-3707-2601; Salma, Imre/0000-0001-8319-1647; Weidinger, Tamás/0000-0001-7500-6579; Grivas, Georgios/0000-0001-5023-7039; Zikova, Nadezda/0000-0001-8753-386X; Eleftheriadis, Konstantinos/0000-0003-2265-4905; Hoffmann, Barbara/0000-0002-8435-5575; Altug, Hicran/0000-0001-9430-6155; Favez, Olivier/0000-0002-8821-1923; Contini, Daniele/0000-0003-4454-0642; Petäjä, Tuukka/0000-0002-1881-9044; Alastuey, Andrés/0000-0002-5453-5495}
}