Argonne National Laboratory · 1 day ago
Postdoctoral Appointee - Coastal-urban Flooding
Argonne National Laboratory seeks a postdoctoral researcher to help build a high-resolution coastal-urban flooding modeling capability within the Energy Exascale Earth System Model (E3SM). The role involves investigating coupled land-river-ocean processes and developing models to simulate extreme flooding events in coastal regions.
EnergySecuritySocial Impact
Responsibilities
The investigation of coupled land-river-ocean processes in coastal flooding applications by developing a coupled E3SM configuration that incorporates a subgrid-scale version of the MPAS-Ocean model coupled with E3SM’s land and river components
Including wave setup processes into E3SM by coupling the E3SM wave and ocean components
Application of this coupled model to better understand extreme regional compound flooding within a global Earth system model
Mesh design and high-resolution data utilization
Develop and refine high-resolution barotropic ocean meshes along U.S. coastlines, including incorporation of levees, jetties, and wetlands
Ingest and process coastal datasets (bathymetry, topography, land use/cover) to support accurate wetting and drying and bottom friction/vegetation drag parameterizations
E3SM integration and coupling
Integrate two-way land–river–ocean couplings with a subgrid scale ocean model to support upstream river boundary conditions and coastal inundation processes
Incorporate wave setup effects by coupling WAVEWATCH III radiation stresses to E3SM configurations for coastal extreme water levels
Design and run event-scale and historical simulations to validate coastal water levels, tides, and storm surge against observations for representative extreme and sequential events
Analyze model performance and sensitivity (e.g., drag schemes, mesh resolution, feature representation); document improvements and limitations
Collaborate with DOE E3SM, ICoM, and InteRFACE, projects as well as university partners on coastal methods and validation strategies
Mentor summer students on data analysis and visualization workflows
Publish in peer-reviewed journals, present at scientific conferences, and contribute to open-source code repositories and documentation
Qualification
Required
PhD in physical oceanography, coastal engineering, computational science, Earth system science, applied mathematics, or a related field
Experience with one or more coastal/ocean modeling systems (e.g., MPAS-Ocean, ADCIRC, ROMS, NEMO, WAVEWATCH III) and familiarity with barotropic/baroclinic ocean processes, tides, storm surge, and coastal inundation
Proficiency in scientific programming (Fortran/C/C++), Python-based analysis, version control (Git), and working in Linux/HPC environments (MPI, batch schedulers)
Hands-on experience with geospatial data processing (NetCDF/HDF5, GDAL, xarray) and coastal datasets (e.g., GEBCO/ETOPO, USGS/NOAA/NCEI), including mesh generation and quality control
Strong communication skills and a record of peer-reviewed publications
Ability to model Argonne's core values of impact, respect, safety, integrity, and teamwork
Preferred
Direct experience with MPAS-Ocean and/or E3SM, variable- or unstructured-resolution mesh tools (e.g., JIGSAW, MOAB), and wetting–drying schemes for coastal inundation
Experience in model coupling frameworks (e.g., CIME/ESMF/NUOPC), wave–surge interactions, and coastal nutrient/salinity flux transport
Familiarity with leadership-class computing environments (ALCF/NERSC/OLCF)
Evidence of collaborative, team-based research and mentoring of students
Benefits
Comprehensive benefits are part of the total rewards package
Company
Argonne National Laboratory
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
Funding
Current Stage
Late StageTotal Funding
$41.4MKey Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant
Leadership Team
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