Dr. Himansu Kesari Pradhan

- Project: Destination Earth (DestinE) Climate Digital Twin at AWI Bremerhaven. - Core Impact: Configured, executed, and monitored high-resolution global climate model workflows (IFS-FESOM). - Automation & QA: Engineered automated restart/failure mitigation strategies within SLURM systems. - Data Visualization: Built interactive dashboards (Streamlit/Dash) for real-time visualization and quality validation of multi-terabyte environmental datasets.

-Successfully managed a complex project, effectively disseminating results in meetings and 2 conferences. -Spearheaded the backend development and optimization of a ecosystem model on a supercomputer, significantly enhancing its accuracy for hindcasting and forecasting. -Conducted a comprehensive review of 150 research articles on "Global Progress in Climate Change Adaptation," contributing to a forthcoming publication in the prestigious "Nature" journal.

Project: Inclusion of Alfred Wegener Institute Climate model results to Climate Model Intercomparison Project. -Successfully coded AWI-Climate model results for the Climate Model Intercomparison Project on the DKRZ supercomputer, effectively explaining its technical functioning to two other departments. -Played a vital role in the preparation of the 'Sixth Assessment Report' for the Intergovernmental Panel on Climate Change (IPCC-AR6) by openly publishing and launching five datasets.

-Led an inter-disciplinary project, collaborating with multiple stakeholders and coordinating with two departments. Published two research articles, presented in four international conferences. -Implemented reinforcement learning using satellite data that was later used for hindcasting. -Conducted statistical evaluation, achieving a significant 14% reduction in RMSE and a 30% increase in correlation through reinforcement learning, enhancing the model's performance.

-Managed the project by designing experiments with a model for tracking ocean waves. Spectral analysis showed waves of 12-hour and 24-hour frequency. Analyzed remote sensing data featuring these waves. -Published two research articles in international journals and received praise for model development during a conference presentation.

Project: Ocean State Forecast using a combination of Genetic Algorithm and Numerical Models. -Analyzed model results and ground observation for sea surface waves and reported the error metrics.