Dr. Tamás Bódai - MATE Research
Overview
Tamás Bódai’s research areas include thermodynamics and dynamics of the climate system, edge states, tipping points and critical transitions in the climate system, transient chaos in open systems, noise-induced chaos, climate sensitivity, response of multi-scale dynamical climate models to external forcing; snapshot/pullback attractors, geoengineering, fluctuation-dissipation relations in the climate system, ergodicity of the climate system, snapshot attractors of nonautonomous systems and its application to climate science, climate emulation, atmospheric and oceanic teleconnections (e.g. ENSO-Indian monsoon), extreme value statistics and predictability in dynamical systems and stochastic processes featuring heavy tails and its application to wind energy.
Research keywords:
Publications
climate emulator development using response theory
INTRA projekt to deal with Mg deficit in Welschriesling https://doi.org/10.21203/rs.3.rs-3302963/v4
https://doi.org/10.21203/rs.3.rs-3308863/v2
In the INTRA project genomics, transcriptomics, and physiology converge. Our project takes a cutting-edge, multidisciplinary approach by combining natural variation, physiological measurements, and molecular techniques to dissect the mechanism underlying Mg deficit in grapevine.
https://doi.org/10.1063/1.5122255
geoengineering impact assessment
https://doi.org/10.21203/rs.3.rs-3302963/v4
Project no. 2.: 2019-2022 INTERREG CE1550 Transfarm 4.0
Transnational collaborative system to bring precision farming innovative applications closer to the market and address regional specializations in Central Europe
https://programme2014-20.interreg-central.eu/Content.Node/Transfarm4.0.htmlhttps://doi.org/10.21203/rs.3.rs-3308863/v2
https://doi.org/10.1063/1.5122255large ensemble simulation protocol development
https://doi.org/10.1002/essoar.10510833.3
forced change of climatic teleconnections
https://doi.org/10.1038/s41612-023-00541-w
Projects
Project no. 1.: Conditional and forced climate change
For the real Earth system which has multiple time scales, the full snapshot attractor is impractical to represent the climate. Instead, with an interest in anthropogenic climate change, we would like to define climate in a conditional sense, when some slow time scale process can be considered as a "carrier" or forcing for the climate beside the actual external anthropogenic forcing. We will examine if such slow processes do show up in climate change signals.
