@article{MTMT:34819318,
	title = {A numerical investigation of aerosol effect on cloud microphysics in an idealized tropical cyclone using the WRF piggybacking framework},
	url = {https://m2.mtmt.hu/api/publication/34819318},
	author = {Deng, L. and Xue, L. and Huang, W. and Wu, W. and Thompson, G. and Gao, W. and Sarkadi, Noémi and Geresdi, István},
	doi = {10.1016/j.atmosres.2024.107422},
	journal-iso = {ATMOS RES},
	journal = {ATMOSPHERIC RESEARCH},
	volume = {304},
	unique-id = {34819318},
	issn = {0169-8095},
	year = {2024},
	eissn = {1873-2895},
	orcid-numbers = {Sarkadi, Noémi/0000-0002-2370-8621; Geresdi, István/0000-0002-3160-7900}
}

@article{MTMT:34758659,
	title = {Numerical prediction of fog: A novel parameterization for droplet formation},
	url = {https://m2.mtmt.hu/api/publication/34758659},
	author = {Peterka, András and Thompson, Gregory and Geresdi, István},
	doi = {10.1002/qj.4704},
	journal-iso = {Q J ROY METEOR SOC},
	journal = {QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY},
	unique-id = {34758659},
	issn = {0035-9009},
	abstract = {Abstract A novel aerosol activation scheme was developed and implemented into the WRF Thompson?Eidhammer Aerosol-Aware microphysical module. While in most of the numerical weather prediction (NWP) models the activation is based on updraft velocity, even in the fog, the new parameterization considers the local rate of cooling and water vapor flux in the evaluation of the aerosol activation rate. In addition, diagnostic variables are added to evaluate the visibility reduction due to formation of haze droplets. The impact of changing the activation scheme is demonstrated by a case study of a well-observed fog event. Data observed during the fog event campaign at Budapest and observed at standard meteorological stations are compared with the output of the numerical model. The results are summarized as follows: (i) the inhomogeneous spatial and temporal distribution of the number concentration of droplets is an inherent characteristic of the new parameterization scheme. (ii) Compared to the prior parameterization based on updraft velocity, the new parameterization scheme increases the number concentration of the droplets significantly, especially at the top of the fog. As a consequence, it reduces the downward short-wave radiation flux prolonging the lifetime of the fog by about 30?60?min. (iii) Analyses reveal that earlier dissipation of the fog comparing to the observed data cannot be explained only by overestimation of the downward short-wave radiation flux. (iv) The new method is able to evaluate the reduction of visibility due to haze.},
	keywords = {Modeling; fog; WRF; microphysics},
	year = {2024},
	eissn = {1477-870X},
	orcid-numbers = {Geresdi, István/0000-0002-3160-7900}
}

@CONFERENCE{MTMT:34392603,
	title = {Application of the Piggybacking Methodology to Real Convective Cases},
	url = {https://m2.mtmt.hu/api/publication/34392603},
	author = {Sarkadi, Noémi and Geresdi, István and Lulin, Xue and Wojciech, W. Grabowski},
	booktitle = {103rd Annual Meeting of the American Meteorological Society},
	unique-id = {34392603},
	abstract = {In a chaotic system, like moist convection, it is difficult to separate the impact of a physical process from effects of natural variability. This is because modifying even a small element of the system physics typically leads to a different system evolution, and it is difficult to tell whether the difference comes from the physical impact or it merely represents a different flow realization. Piggybacking is a relatively simple and computationally efficient modelling methodology that allows separation of the two. The idea is to use two sets of thermodynamic variables (the temperature, water vapor, and all aerosol, cloud, and precipitation variables) in a single cloud simulation. The two sets differ in a specific element of the physics, such as aerosol properties, microphysics parameterization, large-scale forcing, environmental profiles, etc. One thermodynamic set is coupled to the dynamics and drives the simulated flow, and the other set piggybacks the flow, that is, thermodynamic variables are carried by the flow but they do not affect it. We have recently implemented the piggybacking methodology in Weather Research and Forecasting (WRF) model to study the impact of selected physical processes on the cloud dynamics and microphysics in simulations of convective cases (Sarkadi et al. 2022). This presentation will discuss results from the initial set of simulations applying bulk microphysical parameterizations targeting selected cases from the Convective Precipitation Experiment (COPE) over the south-western UK. COPE convective clouds were well observed, and data are available to compare the observed and simulated microphysical and dynamical characteristics of these clouds. The simulations explore impacts of (i) aerosol loading; (ii) secondary ice production (the Hallett-Mossop process) and (iii) terminal velocity of hydrometeors.
		Sarkadi, N., L. Xue, W. W. Grabowski, Z. J. Lebo, H. Morrison, B. White, J. Fan, and J. Dudhia, and I. Geresdi, 2022: Microphysical piggybacking in the Weather Research and Forecasting model. Journal of Advances in Modeling Earth Systems, 14, e2021MS002890. https://doi.org/10.1029/2021MS002890},
	year = {2023},
	pages = {1},
	orcid-numbers = {Sarkadi, Noémi/0000-0002-2370-8621; Geresdi, István/0000-0002-3160-7900}
}

@article{MTMT:33202808,
	title = {Generation of a flood susceptibility map of evenly weighted conditioning factors for Hungary},
	url = {https://m2.mtmt.hu/api/publication/33202808},
	author = {Sarkadi, Noémi and Pirkhoffer, Ervin and Lóczy, Dénes and Balatonyi, László and Geresdi, István and Fábián, Szabolcs Ákos and Varga, Gábor and Balogh, Richárd and Gradwohl-Valkay, Alexandra Ilona and Halmai, Ákos and Czigány, Szabolcs},
	doi = {10.5937/gp26-38969},
	journal-iso = {GEOGRAPHICA PANNONICA},
	journal = {GEOGRAPHICA PANNONICA},
	volume = {26},
	unique-id = {33202808},
	issn = {0354-8724},
	abstract = {Over the past decades, in the mountainous, hilly and/or urban areas of Hungary several high-intensity storms were followed by severe flash flooding and other hydrologic consequences. The overall aim of this paper was to upgrade the national flash flood susceptibility map of Hungary first published by Czigány et al. (2011). One elementary watershed level (FFSIws) and three settlement level flash flood susceptibility maps (FFSIs) were constructed using 13 environmental factors that influence flash flood generation. FFSI maps were verified by 2,677 documented flash flood events. In total, 5,458 watersheds were delineated. Almost exactly 10% of all delineated watersheds were included into the category of extreme susceptibility. While the number of the mean-based FFSIs demonstrated a normal quasi-Gaussian distribution with very low percentages in the quintile of low and extreme categories, the maximum-based FFSIs overemphasized the proportion of settlements of high and extreme susceptibility. These two categories combined accounted for more than 50% of all settlements. The highest accuracy at 59.02% for class 5 (highest susceptibility) was found for the majority based FFSIs. The current map has been improved compared to the former one in terms of (i) a higher number of conditional factors considered, (ii) higher resolution, (iii) being settlement-based and (iv) a higher number of events used for verification.},
	year = {2022},
	eissn = {1820-7138},
	pages = {200-214},
	orcid-numbers = {Sarkadi, Noémi/0000-0002-2370-8621; Pirkhoffer, Ervin/0000-0003-2917-3290; Lóczy, Dénes/0000-0002-2542-6775; Balatonyi, László/0000-0001-5130-730X; Geresdi, István/0000-0002-3160-7900; Fábián, Szabolcs Ákos/0000-0001-9127-2113; Halmai, Ákos/0000-0001-5722-8119; Czigány, Szabolcs/0000-0002-9158-3162}
}

@article{MTMT:33118510,
	title = {Trends in extreme precipitation events (SW Hungary) based on a high-density monitoring network},
	url = {https://m2.mtmt.hu/api/publication/33118510},
	author = {Schmeller, Gabriella and Nagy, Gábor and Sarkadi, Noémi and Cséplő, Anikó and Pirkhoffer, Ervin and Geresdi, István and Balogh, Richárd and Ronczyk, Levente and Czigány, Szabolcs},
	doi = {10.15201/hungeobull.71.3.2},
	journal-iso = {HUNG GEOGR BULL (2009-)},
	journal = {HUNGARIAN GEOGRAPHICAL BULLETIN (2009-)},
	volume = {71},
	unique-id = {33118510},
	issn = {2064-5031},
	abstract = {Climate change is commonly associated with extreme weather phenomena. Extreme weather patterns may bring prolonged drought periods, more intense runoff and increased severity of floods. Rainfall distribution is extremely erratic both in space and time, particularly in areas of rugged topography and heterogeneous land use. Therefore, locating major rainfall events and predicting their hydrological consequences is challenging. Hence, our study aimed at exploring the spatial and temporal patterns of daily rainfall totals of R ≥ 20 mm, R ≥ 30 mm and R ≥ 40 mm (extreme precipitation events, EPE) in Pécs (SW Hungary) by a hydrometeorological network (PHN) of 10 weather stations and the gridded database of the Hungarian Meteorological Service (OMSZ). Our results revealed that (a) OMSZ datasets indicated increasing frequencies of EPEs for the period of 1971–2020 in Pécs, (b) the OMSZ dataset generally underestimated EPE frequencies, particularly for R ≥ 40 mm EPEs, for the period of 2013 to 2020, and (c) PHN indicated a slight orographic effect, demonstrating spatial differences of EPEs between the two datasets both annually and seasonally for 2013–2020. Our results pointed out the adequacy of interpolated datasets for mesoscale detection of EPE distribution. However, topographically representative monitoring networks provide more detailed microscale data for the hydrological management of urban areas. Data from dense rain-gauge networks may complement interpolated datasets, facilitating complex environmental management actions and precautionary measures, particularly during weather-related calamities.},
	year = {2022},
	eissn = {2064-5147},
	pages = {231-247},
	orcid-numbers = {Sarkadi, Noémi/0000-0002-2370-8621; Pirkhoffer, Ervin/0000-0003-2917-3290; Geresdi, István/0000-0002-3160-7900; Czigány, Szabolcs/0000-0002-9158-3162}
}

@article{MTMT:33043050,
	title = {Microphysical piggybacking in the Weather Research and Forecasting Model},
	url = {https://m2.mtmt.hu/api/publication/33043050},
	author = {Sarkadi, Noémi and Xue, Lulin and Grabowski, Wojciech W. and Lebo, Zachary J. and Morrison, Hugh and White, Bethan and Fan, Jiwen and Dudhia, Jimy and Geresdi, István},
	doi = {10.1029/2021MS002890},
	journal-iso = {J ADV MODEL EARTH SY},
	journal = {JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS},
	volume = {14},
	unique-id = {33043050},
	year = {2022},
	eissn = {1942-2466},
	orcid-numbers = {Sarkadi, Noémi/0000-0002-2370-8621; Xue, Lulin/0000-0002-5501-9134; Grabowski, Wojciech W./0000-0001-8480-9787; Lebo, Zachary J./0000-0002-1064-4833; Morrison, Hugh/0000-0002-3160-7900; White, Bethan/0000-0002-3467-7154; Dudhia, Jimy/0000-0002-2394-6232; Geresdi, István/0000-0002-3160-7900}
}

@article{MTMT:32921936,
	title = {Long-term trend of surface relative humidity in Hungary},
	url = {https://m2.mtmt.hu/api/publication/32921936},
	author = {Cséplő, Anikó and Kovácsné Izsák, Beatrix Cecília and Geresdi, István},
	doi = {10.1007/s00704-022-04127-z},
	journal-iso = {THEORET APPL CLIMAT},
	journal = {THEORETICAL AND APPLIED CLIMATOLOGY},
	volume = {149},
	unique-id = {32921936},
	issn = {0177-798X},
	year = {2022},
	eissn = {1434-4483},
	pages = {1629-1643},
	orcid-numbers = {Kovácsné Izsák, Beatrix Cecília/0000-0003-1323-5389; Geresdi, István/0000-0002-3160-7900}
}

@article{MTMT:32545313,
	title = {Numerical simulation of the microphysics and liquid chemical processes occur in fog using size resolving bin scheme},
	url = {https://m2.mtmt.hu/api/publication/32545313},
	author = {Jeevan Kumar, B. and Geresdi, István and Ghude, Sachin D. and Salma, Imre},
	doi = {10.1016/j.atmosres.2021.105972},
	journal-iso = {ATMOS RES},
	journal = {ATMOSPHERIC RESEARCH},
	volume = {266},
	unique-id = {32545313},
	issn = {0169-8095},
	year = {2022},
	eissn = {1873-2895},
	orcid-numbers = {Jeevan Kumar, B./0000-0003-3762-2017; Geresdi, István/0000-0002-3160-7900; Salma, Imre/0000-0001-8319-1647}
}

@misc{MTMT:32516071,
	title = {Relatív nedvességtartalom klimatikus változásai Magyarországon},
	url = {https://m2.mtmt.hu/api/publication/32516071},
	author = {Cséplő, Anikó and Geresdi, István and Horváth, Ákos and Kovácsné Izsák, Beatrix Cecília},
	unique-id = {32516071},
	year = {2021},
	orcid-numbers = {Geresdi, István/0000-0002-3160-7900}
}

@article{MTMT:32507163,
	title = {Impact of hygroscopic seeding on the initiation of precipitation formation: results of a hybrid bin microphysics parcel model},
	url = {https://m2.mtmt.hu/api/publication/32507163},
	author = {Geresdi, István and Xue, Lulin and Chen, Sisi and Wehbe, Youssef and Bruintjes, Roelof and Lee, Jared A. and Rasmussen, Roy M. and Grabowski, Wojciech W. and Sarkadi, Noémi and Tessendorf, Sarah A.},
	doi = {10.5194/acp-21-16143-2021},
	journal-iso = {ATMOS CHEM PHYS},
	journal = {ATMOSPHERIC CHEMISTRY AND PHYSICS},
	volume = {21},
	unique-id = {32507163},
	issn = {1680-7316},
	abstract = {A hybrid bin microphysical scheme is developed in a parcel model framework to study how natural aerosol particles and different types of hygroscopic seeding materials affect the precipitation formation. A novel parameter is introduced to describe the impact of different seeding particles on the evolution of the drop size distribution. The results of more than 100 numerical experiments using the hybrid bin parcel model show that (a) the Ostwald-ripening effect has a substantial contribution to the broadening of the drop size distribution near the cloud base. The efficiency of this effect increases as the updraft velocity decreases. (b) The efficiency of hygroscopic seeding is significant only if the size of the seeding particles is in the coarse particle size range. The presence of the water-soluble background coarse particles reduces the efficiency of the seeding, (c) The efficient broadening of the size distribution due to the seeding depends on the width of the size distribution of water drops in the control cases, but the relation is not as straightforward as in the case of the glaciogenic seeding.},
	keywords = {GROWTH; aerosol; Environmental Sciences; cloud condensation nuclei; Droplet size distributions; Convective clouds; FREEZING DRIZZLE FORMATION; STRATIFIED LAYER CLOUDS},
	year = {2021},
	eissn = {1680-7324},
	pages = {16143-16159},
	orcid-numbers = {Geresdi, István/0000-0002-3160-7900; Sarkadi, Noémi/0000-0002-2370-8621}
}