Comprehensive evaluation of WRF model rainfall prediction skill during Super Cyclone Kyarr (2019) using GPM & TRMM datasets. Includes day-wise and threshold-wise metrics, visualizations, and automated report generation.
Summaries of research in climate, geoscience, and climate-adjacent applications of AI
Deep learning statistical downscaling of climate model outputs using CNN super-resolution on ERA5 data
Dynamic Cyclone Early Warning System using LSTM and IBTrACS dataset
Software Developer & Nexa Founder — Building computer vision and geospatial AI for climate adaptation and social impact.
StormFormer: physics-informed hybrid Transformer-BiLSTM for 24h typhoon track prediction on IBTrACS
Agente de IA focado em previsão de desastres e contenção de danos causados pelas discrepâncias temporais no estado da Bahia
Climate-aware crop recommendation system with a reproducibility-ready public artifact, evaluation outputs, and a documented reconstruction pathway.
Adaptation of NVIDIA StormCast for India by replacing the HRRR data pipeline with IMD GFS and WRF preprocessing, synchronization, training, inference, and visualization workflows.
Streamlit ML app predicting cyclone intensity from SST, wind shear, and pressure using gradient boosting. Storm-track visualisation on Folium interactive maps.
Enterprise-style hybrid AI assistant combining structured climate analytics, RAG, hybrid retrieval, reranking, and conversational memory using local open-source LLMs.
AI-powered flood risk prediction for Nyando Basin, Kenya. XGBoost + SHAP + FastAPI + React. AUC-ROC 0.9717. 100% open data — Kenya DPA 2019 compliant.
Physics-aware Vision Transformer for weather forecasting built from scratch in PyTorch | AI for Science
Climate, Energy and Green Microbiology portfolio covering weather prediction, renewable optimization, electricity pricing, load forecasting, and sustainable transition modeling.
Open-source environmental intelligence and AI research for extreme heat, PM2.5, air quality, wildfire smoke, urban climate, forecasting, uncertainty, and resilient homes.
An autonomous multimodal AI framework for disaster prediction, satellite flood segmentation, physics-informed validation, ensemble fusion, and adaptive monitoring across earthquake, cyclone, wildfire, and flood events.
NVIDIA Earth-2 climate AI workspace: a structured set of exercises, notebooks, and templates for earth2studio.
Personal learning fork of the Climate Change AI tutorial on deep-learning-based statistical downscaling of climate projections.
Climate-aware forecasting and benchmarking for data centers
Add a description, image, and links to the climate-ai topic page so that developers can more easily learn about it.
To associate your repository with the climate-ai topic, visit your repo's landing page and select "manage topics."