5 papers
Steering Diffusion Priors with Sparse Observations for High-Resolution Temperature Downscaling
Anirudh Avireddy, Manmeet Singh, Shivanshi Singh +4
Local heatwave hazard depends on fine-scale air temperature, but ground stations are sparse and reanalysis products such as ERA5 cannot resolve the terrain and land-surface contras…
GraphCast Skill and Systematic Biases in Indian Summer Monsoon Forecasts: Evaluation Against ERA5 and IMERG
Somnath Luitel, Parthasarathi Mukhopadhyay, Manmeet Singh +2
The Indian Summer Monsoon (ISM) is one of the most dynamically complex components of the global climate system, yet its accurate prediction remains challenging for both physics-bas…
Aircast-Mars: A Mars Foundation Model for Global Weather Forecasting with HEALPix-Aware Convolutions
Manmeet Singh, Saptarishi Dhanuka, Naveen Sudharsan +3
Foundation models for planetary atmospheres promise fast, lightweight surrogates of expensive general circulation models (GCMs) for mission planning and scientific inquiry. Here we…
AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret
Saptarishi Dhanuka, Sarvesh Iyer, Manmeet Singh +5
Recent advances in machine learning have produced probabilistic weather forecasting models comparable to state-of-the-art numerical weather predictors. But no model consistently do…
AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion
Somnath Luitel, Manmeet Singh, Joshua Durkee +11
Operational weather prediction at kilometer scales remains computationally prohibitive for traditional numerical weather prediction (NWP) models, limiting forecast access for appli…