Centre for Climate Studies
The Centre for Climate Studies (CCS) was initiated at the Indian Institute of Technology Bombay, in January, 2012, at the doctoral level as an interdisciplinary program. The mandate of the Centre for Climate Studies is to undertake interdisciplinary research and education to develop a scientific understanding of regional climate change and connect it to its impacts (environment, resources, socio-economic) and effective responses (technology and adaptation).
Core Faculty
Associate Faculty
Current PhD Students
Programs of Study
doctoral degree application deadline
Online Application Start
March 27, 2026
Application Deadline (without fine)
April 10, 2026
Application Deadline (with fine)
April 14, 2026
Interview
May 12-13, 2026
MASTER’S degree application deadline
Online Application Start
Mar.27, 2026
Application Deadline (without fine)
Apr.10, 2026
Application Deadline (with fine)
Apr.16, 2026
Interview
May.14, 2026
12 August 2026
Peer2Peer Learn and Teach
Working with the HPC 3.0
Kaustuv, Aritra, Mansi, Sakshi, and Sreyasi
Basic workflow of the climate HPC, how to use it efficiently, and the crucial dos and don’ts
Climate Teaching lab, 3rd floor, RBTIC (4:00 PM)
5 August 2026
Seminar
Climate Journal Club: July 2026
Speaker: Prof. Jaideep Joshi
Teaching Lab, 3rd Floor, RBTIC (4:00 PM)
Topic: Organizing Principles of Vegetation Dynamics
Publication Spotlight
Associate Professor TBU Associate Professor TBU Professor Prof. Chandra Venkataraman is a leading aerosol scientist at IIT Bombay, specializing in climate science, air quality, and nanoparticle engineering for drug delivery. She has authored over 150 publications, led major research networks like…
Research Article
Resilience to Forest Fires: An Indicator-Based Study in a Tropical Forest of Uttarakhand, India
by Aryalakshmi M
Research Article
Analysis of water-carbon-cost nexus and adaptation strategies for thermal power plants in a changing climate
by Reshma Shinde
Research Article
Soil vertical heterogeneity reduces rootzone soil moisture bias in
hyper-resolution land surface model over smallholder agricultural systems
by Vishnu U. Krishnan
Faculty Spotlight
Arnab Dutta
Arpita Mondal
Chandra Venkataraman
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