Ahmad Jan Khattak

Computational scientist
Lynker Corporation, Virginia, United States

Dr. Khattak is a computational scientist specializing in multiphysics, multiphase, and multiscale surface/subsurface hydrologic modeling using high-performance computing tools. He has extensive experience in developing and deploying models that range from process-based distributed systems to simplified conceptual approaches for studying environmental systems, including Arctic permafrost, stream-hyporheic zone biogeochemistry, watershed hydrology, and deep underground carbon storage. Dr. Khattak earned his Ph.D. in Applied Mathematics from the University of Wyoming and later served as a postdoctoral and staff scientist at Oak Ridge National Laboratory (ORNL). At ORNL, he contributed to the Amanzi-ATS simulator, which won the R&D100 2020 Award. His research is published in high-impact journals such as Nature Communications, PNAS, and Science of the Total Environment. Currently, he focuses on developing hydrologic models for NOAA’s NextGen Water Resources Modeling Framework and addressing permafrost-carbon feedback, a key uncertainty identified by the UN IPCC.

Disclosure information not submitted.

Presentation(s):

• Multi-Model Predictions of Design Low Flow Conditions in the Great Salt Lake Basin Using NextGen Water Resources Modeling Framework

  Monday, May 19, 2025
  2:00 PM – 2:15 PM Alaska Daylight Time (AKDT)

• Enhancing Catchment Based Hydrological Model Performance through Dynamic Sub-Discretization Using Land Surface Attributes

  Tuesday, May 20, 2025
  3:45 PM – 4:00 PM Alaska Daylight Time (AKDT)