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Nishant Malik, Rochester Institute of Technology, Data-driven analysis of monsoon dynamics: ancient civilizational changes over South Asia to modern forecasting
November 9, 2021 | 3:00 pm - 4:00 pm EST
Monsoons are significant atmospheric phenomena that manifest over various regions in the tropics and have massive social and economic consequences. We will present hybrid methods that combine ideas from dynamical systems-based nonlinear time series analysis and machine learning and analyze the dynamics of the South Asian monsoon. Specifically, we will show two sets of results, one on a paleoclimate time series from the Holocene and another using a large-scale spatiotemporal temperature field from the reanalysis data set. In the first set of results, we identify dynamical transitions in the paleoclimate time series and show that these transitions correspond to civilizational evolution over South Asia. For this purpose, we integrate the recurrence plot method with manifold learning. In the second set, we combine climate network analysis of spatiotemporal data of global temperatures with decision tree-based regression to forecast monsoon on different temporal and spatial scales.
Zoom link: https://ncsu.zoom.us/j/ 97638681103?pwd= dDJrRkE3d3NQZEhrRlhOMDc4T0pRUT 09
passcode: NAseminar
passcode: NAseminar