Nachiketa Acharya

Nachiketa Acharya

  • Assistant Research Professor
  • Mentor of the Research Experiences for Undergraduates (REU) program in Climate Science

University Park, PA 16802


  1. Ph.D. in Statistics, Utkal University, Odisha, India, 2014
  2. Thesis: “Statistical Techniques for Monthly to Seasonal scale rainfall also prediction over India using results from General Circulation Models”
  3. M.Sc. in Statistics, Visva-Bharati University, West Bengal, India,2008.
  4. B.Sc. in Statistics, Calcutta University, West Bengal, India,2006.

Research Specialties:

  • Sub-seasonal to Seasonal Predictions.
  • Prediction and Predictability of Asian and African Monsoon.
  • Climate Services.
  • Climate Risk Management.
  • Agro-Climatology, Hydro-Climatology.
Statistical Meteorology:
  • Statistical Downscaling, Bias Corrections, Model Output Statistics, Probabilistic Prediction.
  • Stochastic Weather Generators.
  • Machine Learning methods for climate problems.
  • Validation and Verification methods for predictions.


Nachiketa Acharya is a statistical climatologist with specialties in statistical and machine learning modeling in climate science, especially sub-seasonal to seasonal climate forecasting. 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. His research interests include probabilistic forecasting, multi-model Ensemble, GCM diagnostics calibration and verification, stochastic weather generators, and extreme value analysis. He received his Ph.D. in Statistics from Utkal University, India in 2014 which focused on statistical techniques for extended range prediction of the Indian monsoon. 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. During 2016-2020, he was an associate research scientist at International Research Institute for Climate and Society (IRI), where he upgraded IRI’s 2-tier seasonal climate forecasts system to the 1-tier system based on the calibrated North American Multi-Model Ensemble (NMME) models, operational since April 2017. He is actively engaged in several Regional Climate Outlook Forum by WMO as an expert and trainer of S2S forecast and verification in pre-COF. He is co-leading the Building Block-3 (Prediction with a focus on the seasonal to decadal timescales) of Regional Information for Society (RifS), WWRP-WCRP.


Publications: Google Scholar