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Climate Impact Modeling

Transforming global climate datasets into local survival strategies. By deploying WRF models on Exascale clusters, we simulate your location's microclimate with a resolution of less than 1km through the year 2050.

Leading Research Institutions

ECMWF

European Centre for Medium-Range Weather Forecasts. Developers of the Integrated Forecasting System (IFS) and the ERA5 dataset.

NCAR / UCAR

National Center for Atmospheric Research. Creators of the WRF (Weather Research and Forecasting) model used in our HPC pipeline.

MPI-M

Max Planck Institute for Meteorology. Global leaders in coupling Earth system models to predict long-term climate sensitivity.

PIK Potsdam

Potsdam Institute for Climate Impact Research. Specializing in high-resolution impact modeling for global agricultural systems.

HPC Technical Specifications

HPC Requirement: Scalability

Coupling over 50,000 CPU cores via MPI for non-hydrostatic atmospheric fluid dynamics calculations.

Data Requirement: Throughput

Utilizing Parallel-I/O (PnetCDF) to manage petabyte-scale data streams during high-resolution output cycles.

Algorithm: Downscaling

Advanced statistical and dynamical downscaling to achieve hyper-local resolutions of < 1km from global GCMs.

Typical Simulation Workflow

    $ mpirun -np 4096 ./wrf.exe 

    # Initializing boundary conditions from Copernicus ERA5 (1979-2026) 

    # Computing Navier-Stokes equations for 15.4M grid points per time step 

    # Outputting NetCDF result: 2026-2050_local_impact_matrix.nc 

    # Visualization status: 100% [Local Heatmap Generated]