He was a post-doctoral research associate of City University of New York during 2015-2016 where he developed future climate scenarios using a “bottom-up” approach to evaluate the effect of climate change on NYC’s water supply system. in Statistics from Utkal University, India in 2014 which focused on statistical techniques for extended range prediction of the Indian monsoon. His research interests include probabilistic forecasting, multi-model Ensemble, GCM diagnostics calibration and verification, stochastic weather generators, and extreme value analysis.
He is an Assistant Research Professor at Earth System Modeling, Analysis, and Data (ESMAD) at the Department of Meteorology and Atmospheric Science, Pennsylvania State University. Nachiketa Acharya is a statistical climatologist with specialties in statistical and machine learning modeling in climate science, especially sub-seasonal to seasonal climate forecasting.
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