AI Extreme Weather and Climate
Episodes
NeuralGCM: Observation-Based Hybrid Modeling for Global Precipitation Forecasting
15 Jan 2026
Contributed by Lukas
This paper introduces NeuralGCM, a hybrid atmospheric model that integrates machine learning with traditional differentiable physics to improve global...
Flow-Matched Neural Operators for Continuous PDE Dynamics
09 Dec 2025
Contributed by Lukas
The episode describes the Continuous Flow Operator (CFO), a novel neural framework for learning the continuous-time dynamics of Partial Differential E...
Ep. 11: Principals of Diffusion Models
05 Nov 2025
Contributed by Lukas
This episode provides a comprehensive monograph on diffusion models, detailing their foundational principles through three unifying perspectives: the ...
Ep 10. RainSeer: Physics-Guided Fine-Grained Rainfall Reconstruction
09 Oct 2025
Contributed by Lukas
This episode introduces RainSeer, a novel, structure-aware framework for reconstructing high-resolution rainfall fields by treating radar reflectivity...
Ep. 9: FlowCast-ODE Cntinuous Hourly Weather Forecasting with Dynamic Flow Matching and ODE Integration
21 Sep 2025
Contributed by Lukas
This episode dives into FlowCast-ODE, a novel deep learning framework designed to achieve accurate and continuous hourly weather forecasting. The mode...
Ep.8 AQUAH: An Automatic Quantification and Unified Agent in Hydrology
03 Sep 2025
Contributed by Lukas
Welcome to a new episode where we dive into AQUAH, the Automatic Quantification and Unified Agent in Hydrology! This groundbreaking system is the firs...
Ep 7. cBottle: Climate in a bottle - foundational AI weather prediction
05 Aug 2025
Contributed by Lukas
cBottle, developed by NVIDIA, is a generative diffusion-based framework that acts as a generative foundation model for the global atmosphere. It direc...
Ep.6 How to fine tune a weather foundation model to hydrological variables?
30 Jun 2025
Contributed by Lukas
This research evaluates the performance of the Aurora weather foundation model by using lightweight decoders to predict hydrological and energy variab...
Ep.5 What is foundation model - drawing from numerical simulation
03 Jun 2025
Contributed by Lukas
When we talk about foundation models, what are we talking about? This is a reflection piece on foundation models by drawing an analogy from numerical ...
Ep.4 Any-to-any Earth Observation Generation and Thinking - TerraMind
07 May 2025
Contributed by Lukas
IBM recently released the first-of-its-kind geospatial intelligence any-to-any model TerraMind. In this podcast, we feature this new generative model ...
Ep.3 Geospatial foundation model - Prithvi
24 Apr 2025
Contributed by Lukas
Today, we are featuring a geospatial foundation model Prithvi, produced by NASA and IBM, one of the first foundation model in this space. Trained on a...
Ep.2 AI models for flood forecasting - HydrographNet
15 Apr 2025
Contributed by Lukas
This research article introduces HydroGraphNet, a novel physics-informed graph neural network for improved flood forecasting. Traditional hydrodynamic...
Ep.1 AI models for weather forecasting
31 Mar 2025
Contributed by Lukas
We are featuring three papers:Mardani, M., Brenowitz, N., Cohen, Y., Pathak, J., Chen, C., Liu, C., Vahdat, A., Nabian, M. A., Ge, T., Subramaniam, A....