Felhők a Vezúv felett
Credit: Fotó: Mánfai György, 2016
Cloud physics research group
Research group members:
Gabriella Schmeller, PhD
Jeevan Kumar Bodaballa, PhD
Understanding the physical and chemical processes in clouds is essential to reliably predict short-term (weather) and long-term (climate) changes in the atmosphere. With the help of computer models, we investigate a wide range of atmospheric processes (from the formation of water droplets of a few microns to flows of the order of km). Thanks to the developments made in recent years, among other things, we can more accurately simulate the effect of natural and artificial aerosol particles on precipitation formation, and we can also determine how atmospheric pollutants affect the chemical characteristics of water droplets.
We conduct our research in international and domestic cooperation. Our important partner for several decades is the National Center for Atmospheric Research (USA) (https://ncar.ucar.edu/). With them, in recent years we examined how and with what efficiency it is possible to artificially increase the amount of precipitation falling from the clouds in winter and summer climatic conditions. We are working with our domestic partners (National Meteorological Service, the University of Pannonia, and Eötvös University) to increase the efficiency of operational weather forecasting. In the most recently completed tender, we set ourselves the goal of more accurate forecasting of foggy weather situations.
In the past 5 years, three people in the research group obtained Ph.D. degrees.
- Aerosol-cloud-precipitation formation and interactions (physical and chemical processes)
BLK1_aerosol_evolution.mp4 (left) and BLK1_drop_evolution.mp4 (right)
Aerosol (left) and cloud drop (right) size distribution evolution in the case of a less hydrophobic (LH) and a near hygroscopic (NH) aerosol particle.
- Artificial cloud seeding (effect on precipitation formation on AgI and on salt particles)
- Microphysical and dynamical processes in different clouds (such as in squall lines, orographically enhancing cloud formation, fog, etc.)
- UAE-NATURE: Using Advanced Experimental - Numerical Approaches To Untangle Rain Enhancement
- OTKA (116025)
Selected publications (2021/2022)
- Sarkadi, Noémi ✉; Xue, Lulin ✉; Grabowski, Wojciech W.; Lebo, Zachary J.; Morrison, Hugh; White, Bethan; Fan, Jiwen; Dudhia, Jimy & Geresdi, István: Microphysical piggybacking in the Weather Research and Forecasting Model. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 14: 8 Paper: e2021MS002890, 25 p. (2022) (Q1/D1)
- Schmeller, Gabriella; Nagy, Gábor; Sarkadi, Noémi ✉; Cséplő, Anikó; Pirkhoffer, Ervin; Geresdi, István; Balogh, Richárd; Ronczyk, Levente & Czigány, Szabolcs: Trends in extreme precipitation events (SW Hungary) based on a high-density monitoring network. HUNGARIAN GEOGRAPHICAL BULLETIN, (2009-) 71: 3 pp. 231-247., 17 p. (2022) (Q2)
- Cséplő, Anikó ✉; Izsák, Beatrix & Geresdi, István: Long-term trend of surface relative humidity in Hungary. THEORETICAL AND APPLIED CLIMATOLOGY, 149: 3-4 pp. 1629-1643., 15 p. (2022) (Q2)
- Jeevan Kumar, Bodaballa ✉; Geresdi, István; Ghude, Sachin D. & Salma, Imre: Numerical simulation of the microphysics and liquid chemical processes occur in fog using size resolving bin scheme. ATMOSPHERIC RESEARCH, 266 Paper: 105972, 14 p. (2022) (Q1)
- Geresdi, Istvan; Xue, Lulin ✉; Chen, Sisi; Wehbe, Youssef; Bruintjes, Roelof; Lee, Jared A.; Rasmussen, Roy M.; Grabowski, Wojciech W.; Sarkadi, Noémi & Tessendorf, Sarah A.: Impact of hygroscopic seeding on the initiation of precipitation formation: results of a hybrid bin microphysics parcel model. ATMOSPHERIC CHEMISTRY AND PHYSICS, 21: 21 pp. 16143-16159., 17 p. (2021) (Q1/D1)