International Conferences
Guntu, R.K, Merz, B., and Agarwal, A: Driving mechanisms and prediction of compound dry and hot extremes during the Indian summer monsoon. 13th International Workshop on Statistical Hydrology, 11/2023, Boston. https://drive.google.com/file/d/1MjRhWP3-uiemTM7ysN9XDGzmVeWLhhMG/view
Guntu, R.K, Merz, B., Agarwal, A: "Modulators of compound extremes unravelled by Event coincidence analysis-based Complex networks", XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG), 07/2023, Berlin. https://doi.org/10.57757/IUGG23-0020
Guntu, R.K, Merz, B and Agarwal, A. “Challenges for assessing the risk of compound extremes”, European Geophysical Union, 04/2023, Austria. https://doi.org/10.5194/egusphere-egu23-154
Guntu, R.K, Merz, B and Agarwal, A; “Effect of reference period on the likelihood of the compound dry and hot event”, AGU Fall Meeting, 12/2022, Chicago. https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1078334 Recording
Guntu, R.K, Merz, B and Agarwal, A; “Complex networks for quantifying modulators of compound extremes”, Water Security and Climate Change conference”, 12/2022, Bangkok. https://www.youtube.com/watch?v=fPOGQYNLLTA Recording
Guntu, R.K, Merz, B and Agarwal, A. “Understanding and Quantifying Potential Drivers of Compound Extremes: A Complex Networks Based on Multiscale Entropy Approach”, European Geophysical Union, 05/2022, Austria. https://doi.org/10.5194/egusphere-egu22-215
Guntu, R.K and Agarwal, A.; "Disentanglement of compound dry and hot extremes over the homogenous regions of India using a complex network-based multivariate standardized index Approach",Roorkee Water Conclave (RWC), 02/2022, Roorkee. Recording
Guntu, R.K, and Agarwal, A. “Assessment of Compound Dry and Hot Extremes over India Using a Copula-Based Multivariate Standardized Index”, AGU Fall Meeting, 12/2021, New Orleans, USA. https://doi.org/10.1002/essoar.10508932.1
Guntu, R.K and Agarwal, A: Wavelet Entropy Energy Measure (WEEM): A multiscale measure to grade a geophysical system's predictability. European Geophysical Union; 04/2021, Austria. https://doi.org/10.5194/egusphere-egu21-703
Guntu, R.K and Agarwal, A: Space-time framework for precipitation regionalization based on neural networks coupled with information entropy. 6th IAHR Europe Congress, 02/2021, Poland. ISBN:97883-66847-01-9. Abstract proceedings
Guntu, R.K and Agarwal, A: Spatial extent of Compound extremes over India and its teleconnection to climate indices. AGU Fall Meeting; 12/2020, Online. https://doi.org/10.1002/essoar.10505419.2
Guntu, R.K and Agarwal, A: Standardized Variability Index (SVI): A multiscale index to assess the variability of precipitation. 2nd JpGU-AGU Joint Meeting, 07/2020, Japan. https://doi.org/10.1002/essoar.10503941.1 Abstract proceedings
Guntu, R.K and Maheswaran, R:‘Entropy-based spatiotemporal patterns of the daily rainfall variability over central India”, 24th International Conference on Hydraulics, water resources and Coastal Engineering, Osmania University, Hyderabad, 12/2019.
Guntu, R.K., Kishore Kumar. R. P, Muni Reddy, M. G: Modelling wave interaction with Rigid vegetation of different submergences. 23rd International Conference on Hydraulics, water resources and Coastal engineering, NIT Patna, Bihar, 12/2018.