TY - JOUR AU - Czigány, Szabolcs AU - Sarkadi, Noémi AU - Lóczy, Dénes AU - Cséplő, Anikó AU - Balogh, Richárd AU - Fábián, Szabolcs Ákos AU - Ciglič, R AU - Ferk, M AU - Pirisi, Gábor AU - Imre, Marcell AU - Nagy, Gábor AU - Pirkhoffer, Ervin TI - Impact of agricultural land use types on soil moisture retention of loamy soils JF - SUSTAINABILITY J2 - SUSTAINABILITY-BASEL VL - 15 PY - 2023 IS - 6 PG - 15 SN - 2071-1050 DO - 10.3390/su15064925 UR - https://m2.mtmt.hu/api/publication/33695495 ID - 33695495 N1 - Funding Agency and Grant Number: National Research, Development and Innovation Office (NKFIH) [SNN 125727]; project "Possible ecological control of flood hazard in the hill regions of Hungary and Slovenia" [SNN 125727, N6-0070]; research programme Geography of Slovenia (Slovenian Research Agency ARRS) [P6-0101] Funding text: The authors are grateful for the financial support from the National Research, Development and Innovation Office (NKFIH) within the framework of the Hungarian-Slovenian collaborative project "Possible ecological control of flood hazard in the hill regions of Hungary and Slovenia" (contract no SNN 125727) and within the framework of the program Excellence in Higher Education, Theme II. 3. ("Innovation for sustainable life and environment"). The study was financed by the project "Possible ecological control of flood hazard in the hill regions of Hungary and Slovenia" (SNN 125727; Slovenian Research Agency ARRS, N6-0070) and a research programme Geography of Slovenia (Slovenian Research Agency ARRS, P6-0101). AB - Increasingly severe hydrological extremes are predicted for the Pannonian Basin as one of the consequences of climate change. The challenges of extreme droughts require the adaptation of agriculture especially during the intense growth phase of crops. For dryland farming, the selections of the optimal land use type and sustainable agricultural land management are potential adaptation tools for facing the challenges posed by increased aridity. To this end, it is indispensable to understand soil moisture (SM) dynamics under different land use types over drought-affected periods. Within the framework of a Slovenian–Hungarian project, soil moisture, matric potential and rainfall time series have been collected at three pilot sites of different land use types (pasture, orchards and a ploughland) in SW Hungary since September 2018. Experiments were carried out in soils of silt, silt loam and clay loam texture. In the summers (June 1 to August 31) of 2019 and 2022, we identified normal and dry conditions, respectively, with regard to differences in water balance. Our results demonstrated that soil moisture is closely controlled by land use. Marked differences of the moisture regime were revealed among the three land use types based on statistical analyses. Soils under pasture had the most balanced regime, whereas ploughland soils indicated the highest amplitude of moisture dynamics. The orchard, however, showed responses to weather conditions in sharp contrast with the other two sites. Our results are applicable for loamy soils under humid and subhumid temperate climates and for periods of extreme droughts, a condition which is expected to be the norm for the future. LA - English DB - MTMT ER - TY - CONF AU - Sarkadi, Noémi AU - Geresdi, István AU - Lulin, Xue AU - Wojciech, W. Grabowski TI - Application of the Piggybacking Methodology to Real Convective Cases T2 - 103rd Annual Meeting of the American Meteorological Society PY - 2023 SP - 1 UR - https://m2.mtmt.hu/api/publication/34392603 ID - 34392603 N1 - Session 4B - Aerosol-Cloud Interactions in Mixed-Phase Clouds I AB - 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 LA - English DB - MTMT ER - TY - GEN AU - Sarkadi, Noémi TI - Separating dynamical and microphysical impacts on cloud processes PY - 2022 UR - https://m2.mtmt.hu/api/publication/34394151 ID - 34394151 LA - English DB - MTMT ER - TY - CONF AU - Sarkadi, Noémi AU - Lulin, Xue AU - Xuancheng, Liu AU - Chen, Jinghua AU - Wojciech, W. Grabowski AU - István, Geresdi TI - Numerical Simulation of the Effect of Hygroscopic Seeding on the Precipitation Formation in an Isolated Cumulus Congestus T2 - 102nd Annual Meeting American Meteorological Society PY - 2022 SP - 1 UR - https://m2.mtmt.hu/api/publication/34392547 ID - 34392547 N1 - 23rd Conference on Planned and Inadvertent Weather Modification AB - In this study the results about numerical simulation of the hygroscopic seeding using Eulerian bin scheme (University of Pécs and NCAR Bin scheme, UPNB) are presented. The aims of this study to investigate the impact of the seeding on formation of a single cumulus congestus cloud. This cloud was well observed during the Small Cumulus Microphysics Study field campaign (Lasher-Trapp et al. 2005) that took place in 1995 in Florida (USA). The UPNB scheme is modified to simulate the seeding effect by adding a new category for the water drops containing seeding materials. The size distribution of the seeding material is divided into 36 bins, so the size dependence of the seeding effect is taken into consideration. Because the mass of embedded hygroscopic aerosol particles inside of the water drops is tracked for every mass bin, the formation of the regenerated hygroscopic particles due to the evaporation of the water drops is simulated as well. Implementing this bin scheme into the WRF numbers of numerical experiments are planned to perform. Sensitivity of the seeding efficiency on the size distribution, on the hygroscopicity, and on the total amount of the seeding materials seeding are planned to study. The efficiency of the seeding is evaluated by calculated the ratio the accumulated surface precipitation in the seeded and unseeded cases. LA - English DB - MTMT ER - TY - JOUR AU - Sarkadi, Noémi AU - Pirkhoffer, Ervin AU - Lóczy, Dénes AU - Balatonyi, László AU - Geresdi, István AU - Fábián, Szabolcs Ákos AU - Varga, Gábor AU - Balogh, Richárd AU - Gradwohl-Valkay, Alexandra Ilona AU - Halmai, Ákos AU - Czigány, Szabolcs TI - Generation of a flood susceptibility map of evenly weighted conditioning factors for Hungary JF - GEOGRAPHICA PANNONICA J2 - GEOGRAPHICA PANNONICA VL - 26 PY - 2022 IS - 3 SP - 200 EP - 214 PG - 15 SN - 0354-8724 DO - 10.5937/gp26-38969 UR - https://m2.mtmt.hu/api/publication/33202808 ID - 33202808 N1 - Institute of Geography and Earth Sciences, University of Pécs, Ifjúság u. 6, Pécs, 7624, Hungary General Directorate of Water Management, Márvány utca 1/D, Budapest, 1012, Hungary Cited By :1 Export Date: 9 October 2023 Correspondence Address: Pirkhoffer, E.; Institute of Geography and Earth Sciences, Ifjúság u. 6, Hungary; email: pirkhoff@gamma.ttk.pte.hu AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Sarkadi, Noémi AU - Xue, Lulin AU - Grabowski, Wojciech W. AU - Lebo, Zachary J. AU - Morrison, Hugh AU - White, Bethan AU - Fan, Jiwen AU - Dudhia, Jimy AU - Geresdi, István TI - Microphysical piggybacking in the Weather Research and Forecasting Model JF - JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS J2 - J ADV MODEL EARTH SY VL - 14 PY - 2022 IS - 8 PG - 25 SN - 1942-2466 DO - 10.1029/2021MS002890 UR - https://m2.mtmt.hu/api/publication/33043050 ID - 33043050 N1 - Funding Agency and Grant Number: National Center of Meteorology, Abu Dhabi, UAE under the UAE Research Program for Rain Enhancement Science; Hungarian Scientific Research Found; DOE [DE-SC0020118, DE-SC0020171, DE-SC0021151]; U.S. Department of Energy (DOE) [DE-SC0021151, DE-SC0020118, DE-SC0020171] Funding Source: U.S. Department of Energy (DOE) Funding text: Part of this work was supported by the National Center of Meteorology, Abu Dhabi, UAE under the UAE Research Program for Rain Enhancement Science. The contribution to this research by N. Sarkadi and I. Geresdi was also supported by Hungarian Scientific Research Found (Development and application of novel numerical model to investigate the precipitation formation in mixed phase clouds). L. Xue acknowledge partial support from DOE ASR grants DE-SC0020171 and DE-SC0021151. W. Grabowski and H. Morrison acknowledge partial support from DOE ASR grant DE-SC0020118. LA - English DB - MTMT ER - TY - JOUR AU - Schmeller, Gabriella AU - Nagy, Gábor AU - Sarkadi, Noémi AU - Cséplő, Anikó AU - Pirkhoffer, Ervin AU - Geresdi, István AU - Balogh, Richárd AU - Ronczyk, Levente AU - Czigány, Szabolcs TI - Trends in extreme precipitation events (SW Hungary) based on a high-density monitoring network JF - HUNGARIAN GEOGRAPHICAL BULLETIN (2009-) J2 - HUNG GEOGR BULL (2009-) VL - 71 PY - 2022 IS - 3 SP - 231 EP - 247 PG - 17 SN - 2064-5031 DO - 10.15201/hungeobull.71.3.2 UR - https://m2.mtmt.hu/api/publication/33118510 ID - 33118510 N1 - Institute of Geography and Earth Sciences, Faculty of Sciences, University of Pécs, Ifjúság u. 6, Pécs, H-7622, Hungary South Transdanubian Water Management, Köztársaság tér 7, Pécs, H-7623, Hungary Export Date: 13 March 2023 Correspondence Address: Nagy, G.; South Transdanubian Water Management, Köztársaság tér 7, Hungary; email: gabor.nagy.84@gmail.com Correspondence Address: Sarkadi, N.; Institute of Geography and Earth Sciences, Ifjúság u. 6, Hungary; email: sarkadin@gamma.ttk.pte.hu AB - 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. LA - English DB - MTMT ER - TY - CONF AU - Xuancheng, Liu AU - Lulin, Xue AU - Sarkadi, Noémi AU - István, Geresdi TI - Effects of Raindrop Size Distribution on an Idealized Squall-Line Simulation Using a WRF Piggybacking Framework T2 - 102nd Annual Meeting American Meteorological Society PY - 2022 SP - 1. UR - https://m2.mtmt.hu/api/publication/34392592 ID - 34392592 N1 - 19th Conference on Mesoscale Processes AB - The description of raindrop size distribution (RSD) is important in microphysics parameterization. The RSD is often simply hypothesized to parameterize rain microphysics, which needs further modification to demonstrate the variability of the RSD. An idealized squall line case from MC3E (Midlatitude Continental Convective Clouds) field campaign on May 20th, 2011 is simulated to evaluate the effects of the modification of RSD in a bulk microphysics scheme. The RSD is modified using a diagnosed relation based on large samples of observations from Chongqing, China. A piggybacking framework in WRF is used to separate the microphysics and dynamics from their interactions. The simulations show that both microphysics and dynamics are important to the evolution and structure of the squall line. The microphysics of the RSD modification leads to stronger convective rain rate, less total rain amount, weaker low-level radar reflectivity and higher liquid water path. While the RSD-modified dynamics leads to faster system moving speed, increased total rain amount, decreased radar reflectivity in the low-level of convections. These changes are related to the fact that the modified RSD can change the mass- and number-weighted terminal velocity (V­q and Vn) and evaporation rate of raindrops. The changes of V­q and Vn result in the changes of mass loading and mean size of raindrops and its vertical distribution that contributes to the radar reflectivity. As a result, the modified RSD microphysics generates stronger negative buoyancy and therefore the intensified cold pool, which is important to the evolution of dynamics and thus the system moving speed. The RSD modification in this study greatly impacts the simulation of an idealized squall line. However, further studies are necessary to evaluate its influences on simulations of real cases. LA - English DB - MTMT ER - TY - JOUR AU - Cséplő, Anikó AU - Schmeller, Gabriella AU - Czigány, Szabolcs AU - Sarkadi, Noémi AU - Pirkhoffer, Ervin AU - Jeevan Kumar, B. AU - Geresdi, István TI - Még nem nagykorú, de már adatbázis: Meteorológiai állomás a botanikus kert szélárnyékában JF - LÉGKÖR: AZ ORSZÁGOS METEOROLÓGIAI INTÉZET SZAKMAI TÁJÉKOZTATÓJA J2 - LÉGKÖR VL - 66 PY - 2021 IS - 1 SP - 11 EP - 18 PG - 8 SN - 0133-3666 UR - https://m2.mtmt.hu/api/publication/32468981 ID - 32468981 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Geresdi, István AU - Xue, Lulin AU - Chen, Sisi AU - Wehbe, Youssef AU - Bruintjes, Roelof AU - Lee, Jared A. AU - Rasmussen, Roy M. AU - Grabowski, Wojciech W. AU - Sarkadi, Noémi AU - Tessendorf, Sarah A. TI - Impact of hygroscopic seeding on the initiation of precipitation formation: results of a hybrid bin microphysics parcel model JF - ATMOSPHERIC CHEMISTRY AND PHYSICS J2 - ATMOS CHEM PHYS VL - 21 PY - 2021 IS - 21 SP - 16143 EP - 16159 PG - 17 SN - 1680-7316 DO - 10.5194/acp-21-16143-2021 UR - https://m2.mtmt.hu/api/publication/32507163 ID - 32507163 N1 - Funding Agency and Grant Number: National Center of Meteorology, Abu Dhabi, UAE (UAE Research Program for Rain Enhancement Science); National Science Foundation [1852977]; Hungarian Scientific Research Fund Funding text: This research has been supported by the National Center of Meteorology, Abu Dhabi, UAE (UAE Research Program for Rain Enhancement Science); the National Science Foundation (grant no. 1852977); and the Hungarian Scientific Research Fund (Development and application of novel numerical model to investigate the precipitation formation in mixed phase clouds). AB - 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. LA - English DB - MTMT ER - TY - CONF AU - Geresdi, István AU - Sisi, Chen AU - Youseff, Wehbe AU - Roelof, Bruintjes AU - Jared, Lee AU - Sarah, Tessendorf AU - Courtney, Weeks AU - Sarkadi, Noémi AU - Roy, M. Rasmussen AU - Wojciech, Grabowski AU - Lulin, Xue TI - Sensitivity of the Efficiency of Hygroscopic Seeding on the Size Distribution and Chemical Composition of the Seeding Material. T2 - AMS101 PY - 2021 SP - 1 UR - https://m2.mtmt.hu/api/publication/34432895 ID - 34432895 LA - English DB - MTMT ER - TY - JOUR AU - Geresdi, István AU - Xue, L. AU - Sarkadi, Noémi AU - Rasmussen, R. TI - Evaluation of orographic cloud seeding using a bin microphysics scheme: Three-dimensional simulation of real cases JF - JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY J2 - J APPL METEOROL CLIM VL - 59 PY - 2020 IS - 9 SP - 1537 EP - 1555 PG - 19 SN - 1558-8424 DO - 10.1175/JAMC-D-19-0278.1 UR - https://m2.mtmt.hu/api/publication/31625635 ID - 31625635 N1 - Funding Agency and Grant Number: Idaho Power Company; Hungarian Scientific Research Fund (Development and Application of Novel NumericalModel); National Center of Meteorology, Abu Dhabi, UAE, under the UAE Research Program for Rain Enhancement Science; National Science Foundation Funding text: This study was supported by the Idaho Power Company. The contribution to this research by I. Geresdi and N. Sarkadi was supported by the Hungarian Scientific Research Fund (Development and Application of Novel NumericalModel to Investigate the Precipitation Formation in Mixed Phase Clouds). Part of this work is supported by the National Center of Meteorology, Abu Dhabi, UAE, under the UAE Research Program for Rain Enhancement Science. The National Center for Atmospheric Research is sponsored by the National Science Foundation. LA - English DB - MTMT ER - TY - JOUR AU - Cséplő, Anikó AU - Sarkadi, Noémi AU - Horváth, Ákos AU - Schmeller, Gabriella AU - Lemler, Tünde TI - Fog climatology in Hungary JF - IDŐJÁRÁS / QUARTERLY JOURNAL OF THE HUNGARIAN METEOROLOGICAL SERVICE J2 - IDŐJÁRÁS VL - 123 PY - 2019 IS - 2 SP - 241 EP - 264 PG - 24 SN - 0324-6329 DO - 10.28974/idojaras.2019.2.7 UR - https://m2.mtmt.hu/api/publication/30727568 ID - 30727568 AB - The fog not only makes the traffic more difficult, but it is frequently accompanied by increased air pollution. A research program has been started recently to improve our knowledge about fog both in macro and micro scales. In the first part of the research project, analysis of the data collected in the last 60 years has been performed. This database contains information about the visibility and the duration of the reduced visibility at 8 different cities in different regions of Hungary. The climatology of fog in Hungary has been studied in only few research programs, and no comprehensive analysis of the data has been performed. The first results of the data analysis show that the frequency and duration of the mist significantly reduced between the 1980s and 2000s, and the most dramatic reduction occurred in the northeast region of the country. Furthermore, the frequency of fog also dropped in this time period. The most dramatic reduction of the fog and mist events was found in northeastern Hungary, which was one of the most polluted regions in the country until the 90s of the last century. The coincidence of the significant reduction of duration of fog and that of the sulfate emission in NE Hungary supports the hypothesis that there is a strong correlation between the air pollution and the formation of the mist and fog. LA - English DB - MTMT ER - TY - GEN AU - Sarkadi, Noémi AU - Gregory, Thompson AU - Geresdi, István TI - Towards improving high resolution NWP forecasts of convection using an explicit/ bin microphysics scheme to guide bulk microphysics scheme improvements PY - 2019 UR - https://m2.mtmt.hu/api/publication/34394086 ID - 34394086 LA - English DB - MTMT ER - TY - JOUR AU - Schmeller, Gabriella AU - Sarkadi, Noémi TI - A részletes mikrofizikai séma alkalmazása a csapadékkémiai folyamatok modellezésében JF - LÉGKÖR: AZ ORSZÁGOS METEOROLÓGIAI INTÉZET SZAKMAI TÁJÉKOZTATÓJA J2 - LÉGKÖR VL - 63 PY - 2018 IS - 1 SP - 4 EP - 7 PG - 4 SN - 0133-3666 UR - https://m2.mtmt.hu/api/publication/30414141 ID - 30414141 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Geresdi, István AU - Lulin, Xue AU - Roy, Rasmussen AU - Sarkadi, Noémi ED - Schmeller, Gabriella TI - Mesterséges jégképző részecskék hatása a téli csapadékképződésre T2 - A XIII. Magyar Aeroszol Konferencia előadás-kivonatai PB - Pécsi Tudományegyetem CY - Pécs SN - 9789634291275 PY - 2017 SP - 11 UR - https://m2.mtmt.hu/api/publication/34559943 ID - 34559943 LA - Hungarian DB - MTMT ER - TY - GEN AU - Sarkadi, Noémi AU - Geresdi, István TI - Mikrofizikai folyamatok zivatarokban, zivatarláncokban PY - 2017 UR - https://m2.mtmt.hu/api/publication/34394128 ID - 34394128 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Sarkadi, Noémi AU - Geresdi, István ED - Cserny, T ED - Alpek, Balázs Levente TI - Részletes mikrofiziki parametrizációs eljárás alkalmazása a zivatarláncok modellezésében T2 - HUNGEO 2017: "Bányászat és környezet - harmóniában" PB - Magyarhoni Földtani Társulat CY - Budapest SN - 9789638221667 PY - 2017 SP - 39 PG - 1 UR - https://m2.mtmt.hu/api/publication/3264274 ID - 3264274 LA - Hungarian DB - MTMT ER - TY - GEN AU - Geresdi, István AU - Lulin, Xue AU - Roy, Rasmussen AU - Sarkadi, Noémi TI - 3D numerical simulation of orographic cloud seeding using a bin microphysics scheme PY - 2016 SP - 463 UR - https://m2.mtmt.hu/api/publication/3135401 ID - 3135401 LA - English DB - MTMT ER - TY - GEN AU - Gregory, Thompson AU - Sarah, Tessendorf AU - Geresdi, István AU - Sarkadi, Noémi TI - Drawing insights from a bin microphysical scheme to improve a bulk scheme in a simulation of a 3-dimensional squall line PY - 2016 SP - 59 UR - https://m2.mtmt.hu/api/publication/3135399 ID - 3135399 LA - English DB - MTMT ER -