Radar Data Processing with DCT
Advanced noise removal in radar data using Discrete Cosine Transform (DCT) smoothing.
Exploring the intersection of atmospheric science, radar meteorology, and machine learning.
A novel approach to visualizing Cloud Top Generating Cells in 3D. We combine X, C, and S-band radar data to track the lifecycle of these elusive precipitation cells at the top of cloud.
Advanced noise removal in radar data using Discrete Cosine Transform (DCT) smoothing.
Exploring the sensitivity of tropical Andean glaciers to warming and evaluating geoengineering interventions using global climate simulations (CESM).

Investigation of hailstorm events in the Central Andes utilizing historical data and radar microphysics.
Evaluating the Global Precipitation Measurement (GPM) Dual-frequency Precipitation Radar against ground-based measurements in complex terrain.
A chess engine built with PyTorch and trained with distillation from Stockfish.
Looking for the technical details of the CTGC project?
View the full interactive visualization