Nachiketa Acharya

Nachiketa Acharya

  • Assistant Research Professor

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.


Dr. 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 joined as Assistant Research Professor at Penn State Center for Earth System Modeling, Analysis, and Data (ESMAD) at the Department of Meteorology and Atmospheric Science in April. 2021.

Before arriving at the PSU, he was an associate research scientist at International Research Institute for Climate and Society (IRI), The Earth Institute at Columbia University. His work was instrumental in upgrading the IRI’s 2-tier seasonal climate forecasts system to the current 1-tier system based on the North American Multi-Model Ensemble (NMME), operational since April 2017. He was also part of several projects worldwide where he was taking the lead in building the capacities of the National Meteorological Services of Asian and African through training on “next-generation” sub-seasonal to seasonal forecasting. He is actively engaged in several Regional Climate Outlook Forum by WMO (SASCOF, GHACOF, ASEANCOF) as an expert and trainer in pre-COF. 

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, and which are currently used as inputs to a suite of hydrology models to evaluate the effect of climate change on the NYC water supply system.

specializing in climate forecasting and its applications in managing weather as well as climate risks and developing climate services for developing countries.


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