Md Saquib Saharwardi

Postdoctoral Fellow

Postdoctoral Fellow

Current

Research Interests

His research work focuses primarily on understanding dynamics of droughts, its monitoring, and forecasting. He is actively involved in climate modeling and its applications for projecting hydro-climatic extremes. He is currently working on understanding past, present and future droughts over the CORDEX-MENA region.

Selected Publications

1. Saharwardi, M. S., Dasari, H. P., Aggarwal, V., Ashok, K., Hoteit, I. (2023) Long-term variability in
the Arabian Peninsula droughts driven by the Atlantic Multidecadal Oscillation, Earth’s Future.

2. Saharwardi, M. S. and Kumar, P. et al, (2022) Understanding recent decades drought spatiotemporal variability and its drivers over identified homogenous regions of India, Quarterly Journal of Royal Meteorological Society.

3. Saharwardi, M. S. and Kumar, P. and Sachan, D. (2021). “Evaluation and projection of drought over India using high-resolution regional coupled model ROM”, Climate Dynamics

4. Saharwardi M. S. and Kumar, P. (2021). "Future drought changes and associated uncertainty over the homogenous regions of India: a multimodel approach", International Journal of Climatology

Education

2022- present - Postdoctoral Fellow, KAUST
2021 - Ph.D. (Earth & Environmental Science), Indian Institute of Science Education and Research (IISER), Bhopal, India.
2015 - M.Sc (Environmental Science), Central University of Himachal Pradesh, Dharamshala, India.
2012 - B.Sc (Chemistry, Physics, Mathematics), Aligarh Muslim University, Aligarh, India.

Scientific and Professional Membership

1. Life Member at Indian Meteorological Society (IMS)
2. Life Member at Indian Water Resources Society (IWRS)
3. Member of AGU and EGU.
4. Member at International Water Resources Association (IWRA)

Awards

- Best poster presentation in the “Annual Monsoon Workshop” at IITM, Pune, 2019
- Awarded prestigious DST-INSPIRE fellowship to pursue Ph.D.- April, 2016.

Research Interests Keywords

Modeling Information visualization Drought Climate Atmospheric modeling