Nachiketa Acharya is an expert in statistical and machine learning modeling in climate sciences, especially sub-seasonal to seasonal forecasting. He is a CIRES/University of Colorado Research Scientist III working with the NOAA Earth System Research Laboratories's Physical Sciences Laboratory. Previously, he has held influential positions at the Department of Meteorology and Atmospheric Sciences at the Pennsylvania State University, the International Research Institute for Climate and Society at Columbia University, the Institute for Sustainable Cities at the City University of New York, the National Centre for Medium-Range Weather Forecasting in India, the Indian Institute of Technology Delhi, and Bhubaneswar. He is actively engaged in several Regional Climate Outlook Forum by WMO as an expert and trainer of S2S forecast and verification.
- Statistical and Machine Learning modeling for meteorological problem
- Statistical Downscaling, Bias Corrections, Model Output Statistics, Probabilistic Prediction.
- Sub-seasonal to Seasonal Predictions
- Forecast verification
- Agro-Climatology, Hydro-Climatology.
- Ph.D., Statistics, Department of Statistics, Utkal University, Odisha, India, 2014
- M.Sc., Statistics, Department of Statistics, Visva-Bharati University, West Bengal, India, 2008
- B.Sc., Statistics, Department of Statistics, Calcutta University, West Bengal, India, 2006
- Founding member of South Asia Forum on Agricultural Meteorology
- American Geophysical Union.
- American Meteorological Society.
- Asia Oceania Geosciences Society.
- Indian Meteorological Society, India (Life member).