Iqura Malik

Water Resources Engineer with 5+ years of experience in hydrological modeling, climate extremes, and adaptation strategies. Skilled in Python, R, GIS, SWAT, and Google Earth Engine, with a strong publication record. Proven ability to lead research projects and deliver data-driven solutions for climate-resilient water management.

1. Malik, I., & Mishra, V., 2024, Sub-seasonal to seasonal (S2S) prediction of dry and wet extremes for climate adaptation in India., Climate Services, 34, 100457, https://doi.org/10.1016/j.cliser.2024.100457

2. Nanditha, J. S., Kushwaha, A. P., Singh, R., Malik, I., Solanki, H., Chuphal, D. S., et al., 2023, The Pakistan Flood of August 2022: Causes and Implications., Earth's Future, 11, 3, e2022EF003230, https://doi.org/10.1029/2022EF003230

3. Malik, I., Chuphal, D. S., Vegad, U., & Mishra, V., 2023, Was the extreme rainfall that caused the August 2022 flood in Pakistan predictable?, Environmental Research: Climate, 2, 4, 041005, https://doi.org/10.1088/2752-5295/acfa1a

4. Malik, I., Mishra, V., 2025, Sub-seasonal prediction of compound hot and dry extremes in India., Climate Dynamics, 63, 191, https://doi.org/10.1007/s00382-025-07668-x

• Received IIT-DAAD scholarship at the Indian Institute of Technology Kharagpur.
• Additional Fellowship for 3 years during PhD program (above MHRD stipend) by the Indian Institute of Technology Gandhinagar in view of excellent academic credential

• Real-Time Hydrological Forecasting, Karnataka (ACIWRM, 2024–25)
  Monitored and forecasted precipitation, streamflow, and reservoir levels across Karnataka.
  Contributed to real-time hydrometeorological outlooks for state-level water management.
• Gujarat State Climate Change Center (DST, 2019–20)
  Developed a hydrological model to assess past and projected hydroclimatic extremes.
  Evaluated climate change impacts on water resources and agriculture in Gujarat.
• High-Impact Climate Extremes (MRDP, 2024)
  Created the Heat Atlas of India and identified CHDEs using large ensemble climate projections.
  Conducted bias correction and multivariate analysis of observed and future extremes.
• SWAT Modeling of Yamuna Basin (2024)
  Developed and calibrated SWAT model using ArcGIS and SWAT-CUP.
  Analyzed tributary contributions, highlighting dominance of cratonic rivers.
• Flood Inundation Mapping, Bihar (2020)
  Processed SAR and optical satellite data in GEE for flood mapping in Darbhanga.
  Produced validated flood maps to support disaster response and planning.