Proposed work of the The Energy and Resources Institute (TERI)
The proposed work under the collaboration of Potsdam Institute of Climate Impact Research (PIK) and The Energy and Resources Institute (TERI) aims to produce new knowledge and information at sub-regional scales over India specific to different climate sensitive sectors to assist decision makers and stakeholders in better planning for future.
The work may involve the following:
1: Climate data for better preparedness towards extremes
2: User friendly climate visualization tool
3: Outreach to ensure dissemination and policy uptake
4: Scientific manpower development and exchanges
To find out more about TERI's work within the project, please visit the EPICC project website at TERI.
Contact person
Climate Extremes
Fellow at TERI
Saurabh Bhardwaj is a Fellow and Area Convener at the Center of Climate Modelling at The Energy and Resources Institute (TERI), and an associate faculty at TERI University, New Delhi, with over 10 years of work experience in atmospheric sciences, meteorology, climate science and modelling, training and project management. He completed his M.Tech (Atmospheric Physics) and M.Sc. (Space Sciences) at the University of Pune prior to joining CDAC (Center for Development of Advance Computing), a government supercomputing R&D company, as a Member of the Technical Staff and later worked as a Scientific Application Developer at CGGVeritas, a world leader in geophysical services. His current research includes generating extreme climate profile for India, improving model efficacy to minimize uncertainty in forecasting, high resolution climate knowledge generation, capacity building of researchers and policy makers, and multi sectoral climate analysis. Under the EPICC project his doctoral research focuses on [the research of] climate extreme events in the Indian subcontinent.
Proposed work of the Deutscher Wetterdienst (DWD; German Meteorological Service)
In cooperation with the Max-Planck-Institute for Meteorology in Hamburg, DWD has developed a seasonal forecast model. The Forecast data are processed for the target regions to be used flexibly as input data for hydrological and agricultural modelling. It is the task of the DWD partner to investigate the forecast skill of further available seasonal forecast models (from ECMWF, Met Office, Meteo-France and CMCC) in the three partner countries: Tanzania, Peru and India. They examine whether the multimodel ensemble provide added value compared to the individual models in one or all countries. Recurring phenomena, such as the monsoon and El Niño, are identified in observational data as well as seasonal forecasts. These data are used in the agricultural and water sectors to identify the direct effects on the living environment of the population. This is also needed to better understand and anticipate migration movements caused by climate phenomena.
Contact persons
Climate Predictions
Head of the Marine Climate Monitoring Division
Thomas Möller
Climate Predictions
Scientist
