Istvan Szunyogh
Scholar

Istvan Szunyogh

Google Scholar ID: L4JW_JUAAAAJ
Texas A&M University
Numerical Weather PredictionDynamics MeteorologyNonlinear DynamicsMachine Learning
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Citations & Impact
All-time
Citations
2,275
 
H-index
19
 
i10-index
31
 
Publications
20
 
Co-authors
0
 
Contact
Emailadvising-ATMO@geos.tamu.eduTwitterOpen ↗
Publications
1 items
Model Training, Data Assimilation, and Forecast Experiments with a Hybrid Atmospheric Model that Incorporates Machine Learning
2025
Cited
0
Resume
Academic Achievements
  • Offers a range of undergraduate and graduate degree programs; hosts several research centers including the Center for Atmospheric Chemistry, Texas Center for Extreme Weather, Office of the Texas State Climatologist, and Southern Regional Climate Center.
Research Experience
  • Engaged in research on critical issues for humanity in the 21st century such as extreme weather, air pollution, and global warming.
Background
  • Research interests span atmospheric dynamics, boundary layer-surface interactions, climate dynamics and change, numerical modeling, atmospheric chemistry, aerosol-cloud interactions, synoptic and mesoscale meteorology, and radiative transfer and remote sensing.
Miscellany
  • Graduates go on to serve in broadcast meteorology, government agencies, the military, teaching and research, and private industry.