Nachiketa Acharya

Associate Research Scientist

  • Email: ude.aibmuloc.irinull@atekihcan
  • Address:Monell 119
    61 Route 9W
    Palisades, NY 10964

Background

Nachiketa Acharya is a statistical climatologist having more than 8 years’ experience with statistical modelling in climate science. He received his PhD in statistics from the Utkal University, India in 2014 on the thesis entitled “Statistical Techniques for Monthly to Seasonal scale rainfall also prediction over India using results from General Circulation Models”. During his PhD, he was working as Senior Project Scientist in a project funded by the Govt. of India and entitled “’Development of Extended Range Forecast System for Climate Risk Management in Agriculture”, which is a national and international collaborative project at the Centre for Atmospheric Sciences, Indian Institute of Technology, Delhi and the School of Earth, Ocean and Climate Science, Indian Institute of Technology Bhubaneswar, India. After his Ph.D., he joined as Project Scientist-C at National Centre for Medium Range Weather Forecasting (Ministry of Earth Sciences, Govt. of India) in a project entitled “Centre for Weather and Climate for Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation(BIMSTEC) where his main responsibility was to make probabilistic weather and seasonal forecast to the India and its neighboring country.

Before joining IRI in September 2016, he was post-doctoral research associate of City University of New York on a project entitled “Climate Change Integrated Modelling Project: Assessment of Impacts on the New York City Water Supply” sponsored by the Bureau of Water Supply, New York City Department of Environmental Protection where he was developing future climate scenarios using “bottom-up” approach which are used as inputs to a suite of hydrology models to evaluated the effect of climate change on the NYC water supply System.

Research Interests

  • Analysing seasonal-to-sub-seasonal ensemble climate predictions.
  • Probabilistic predicition.
  • Statistical downscaling (spatial and temporal) of GCM.
  • Verification methods for prediction skills.
  • Stochastic weather generator.
  • Prediction and Predictability of Indian Summer Monsoon
  • Prediction of Extreme events.
  • Tailoring of climate information for use in conjunction with sectoral models for climate adaptation and risk management

Role at the IRI

Nachiketa is currently working in the IRI Climate Group. He is actively working to upgrade the IRI seasonal climate forecasts from 2 tier based GCM system to North American Multi Models (NMME) based 1 tier system. He is calibrated the raw GCM outputs by implemented extended logistic regression to make probabilistic seasonal forecast for precipitation and temperature. From April,2017 his developed system is operationalized in IRI’s real-time seasonal climate forecasts.

He is also working in the International Research Application Program (IRAP)-India funded by NOAA where he is developing a system to integrate climate forecast information into the rural livelihood program by Govt. of India for climate resilient livelihood in Bihar, India.

Publications

Available on Google Scholar