I am a Physical Scientist (Lynker) at NOAA’s National Ocean Service. My work focuses on the development of coastal ocean models and workflow automation, with an emphasis on the Unified Forecast System (UFS) for coastal applications and the Surge and Tide Operational Forecast System (STOFS). I specialize in integrating numerical models, optimizing high-performance computing applications, and improving operational forecasting capabilities for coastal resilience and hazard prediction
Previously, I earned my Ph.D. from the University of Rhode Island’s Graduate School of Oceanography, where I was advised by Dr. Isaac Ginis in the Hurricane Research Group. My research focused on understanding how land roughness influences hurricane wind structure during landfall. As part of my doctoral work, I developed a physics-based, 3D Hurricane Boundary Layer (HBL) wind model to simulate these effects, contributing to improved predictions of hurricane impacts on coastal communities. My dissertation, Development and Application of a Hurricane Boundary Layer Wind Model for Landfalling Hurricanes, is available here.
- Hurricane Structure and Dynamics
- Hurricane Boundary Layer
- Surface roughness impact on hurricanes
- Air-Sea Interaction
- Storm Surge and Inundation
- Sea Level Rise and its Impact
- High Performance Computing
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PhD in Oceanography, 2024
University of Rhode Island, RI
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MSc in Coastal Marine and Wetland Studies, 2017
Coastal Carolina University, SC
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BSc in Civil and Environmental Engineering, 2013
Islamic University of Technology, Bangladesh
Appointments
- Develop and evaluate the Earth System Modeling Framework (ESMF) based coupling infrastructure for NOAA's Unified Forecast System (UFS) Coastal Application, ensuring robust coupling of wave, surge, and atmospheric components.
- Implement ecFlow and Unified Workflow (UW) tools to create a configuration-based automated workflow system for the UFS-Coastal application.
- Update and unify workflow systems for the Storm Surge and Tide Operational Forecast System (STOFS) 3D-Atlantic and 2D-Global forecasts, utilizing ecFlow and configuration-based workflows following NCEP Central Operations (NCO) guidelines.
- Maintain and enhance the Python packages used in NOAA's operational forecast systems (e.g., pySCHISM, NEMSpy).
- Work closely with academic partners, software engineers, oceanographers, and HPC specialists at NOAA to enhance forecast accuracy for coastal communities.
- Developed a high-resolution (~500m) 3D hurricane boundary layer model to investigate the impact of land roughness on the wind structure of landfalling hurricanes.
- Designed and implemented a highly configurable hurricane vortex generation software, leveraging NHC Best Track data, to provide initial and boundary conditions in the boundary layer model.
- Developed Python and NCL-based codes to process and compare Stepped Frequency Microwave Radiometer (SFMR) surface wind measurements with hurricane model simulations, enhancing model validation capabilities.
- Developed a parallel post-processing system using Python's Dask and Matplotlib libraries to efficiently analyze large gridded model outputs.-
- Developed a coupled atmosphere-ocean-wave modeling system (WRF, ROMS, SWAN) using ESMF for coastal hazard analysis
- Applied Delft3D model to simulate storm surge and inundation for coastal Bangladesh, addressing sea level rise impacts
- Implemented a coastal storm surge and inundation forecast system to improve South Carolina's resilience
- Present and Future Scenario of Storm Surge and Inundation in Coastal Bangladesh.
- Evaluating the efficiency of coastal polders using Delft3D hydrodynamic model.