Centres of Excellence

Centre of Excellence in Climate Modelling (CECM), New Delhi

The Centre of Excellence (CoE) in climate modeling is a major initiative taken at IIT Delhi and funded by the Department of Science and Technology, Government of India, to develop an India-Centric Climate Model (ICCM) to address certain pressing issues of climate change in India, and to educate manpower in numerical modeling of the Earth system and climate. India needs reliable climate projection for future planning and policy making to make informed decisions against the backdrop of global warming and climate change by a reliable model - a model successful in capturing the present-day climate of India. Presently the available models possess unacceptably large biases, especially with rainfall over India, even though they are doing reasonably good jobs over other regions and at global scale. The researchers at IIT Delhi propose to perform the required up-gradation of existing climate models and build a better model for the Indian region through improved physical and computational implementations. They aim to develop the ICCM through process improvements and region-specific customization that can simulate the regional climate of India and can be used for future climate projections at district level to assess the impacts of climate change on agriculture, health, water resources as well as the energy sectors

Research Areas: Earth, Atmosphere & Environment Sciences, Computer Sciences and Information Technology

Output & Achievements: 1. Centre of Excellence in Climate Modeling indicated that large biases exist in regional climate simulations over India by the available global climate models used in the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports. Thus, a need for climate model that is India centric and can be used for reliable climate projections exists 2. Centre of Excellence in Climate Modeling also showed that JJAS mean rainfall for the period 1975-2005 from IMD data and its difference from 28 CMIP5 models 3. An analysis of NRMSE vs. PCC of JJAS Tas indicated that pattern correlation coefficient versus the normalized root mean square error of the CMIP5 models for JJAS surface air temperature., 4. An analysis of NRMSE vs. PCC of JJAS Rainfall pattern correlation coefficient versus the normalized root mean square error of the CMIP5 models for JJAS rainfall (as compared to IMD)

Contact Name: Prof. V. Ramgopal Rao, Director

Contact Address: Indian Institute of Technology (IIT), New Delhi 110016

Contact Phone: 011 26596053

Email:

State: Delhi